<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/The-DOM-in-technical-SEO-How-it-affects-crawling-rendering-and-indexing.png" class="attachment-large size-large wp-post-image" alt="The DOM in technical SEO- How it affects crawling, rendering, and indexing" style="margin-bottom: 15px;" decoding="async" fetchpriority="high" srcset="https://searchengineland.com/wp-content/seloads/2026/03/The-DOM-in-technical-SEO-How-it-affects-crawling-rendering-and-indexing.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/The-DOM-in-technical-SEO-How-it-affects-crawling-rendering-and-indexing-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/The-DOM-in-technical-SEO-How-it-affects-crawling-rendering-and-indexing-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/The-DOM-in-technical-SEO-How-it-affects-crawling-rendering-and-indexing-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Learn how the DOM structures your page, how JavaScript can change it during rendering, and how to verify what Google actually sees.

You’ve probably heard developers talk about the DOM. Maybe you’ve even inspected it in DevTools or seen it referenced in Google Search Console.
But what, exactly, is it? And why should SEOs care? Let’s take a look at what it is, why it’s important, and how to best optimize it.
What is the DOM?
The Document Object Model (DOM) is a browser’s live, in-memory representation of your webpage. It acts as the interface that allows programs like JavaScript to interact with your content.
The DOM is organized as a hierarchical tree, similar to a family tree:
The document: This is the root of the tree.
Elements: HTML tags like <body>, <p>, and <a> become branches (or “nodes”).
Relationships: Elements have parents, children, and siblings.
This hierarchy is critical because it allows the browser (and search engines) to understand the relationship between different parts of your content. For example, proper hierarchical order lets your browser understand that a specific paragraph belongs to a specific heading.
How to inspect the DOM
The DOM itself is actually a JavaScript object structure stored in memory, but browsers show it to you as markup that looks very much like HTML.
You can see this HTML representation of the DOM by right-clicking on a page and selecting Inspect > Elements. This is called the Elements panel. I’ve outlined it in the red box below: 




In the Elements panel inside DevTools, you can:
Expand and collapse nodes to explore the structure.
Search for specific elements using Ctrl+F on a PC or Cmd+F on Mac within the Elements panel.
See which elements have been added or modified by JavaScript (they often flash briefly when changed).
Note that DevTools doesn’t necessarily show you what Googlebot sees. I’ll circle back to what that means later in this article.

  
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How the DOM is constructed
To understand why the DOM often looks different from your HTML file, you first need to understand how the browser creates it. That begins with your browser building the DOM tree. 
Building the DOM tree
When your browser requests a page, the server sends back an HTML file. The browser reads this response line by line and translates it into “tokens” (tags like <html>, <body>, <div>). 
These tokens are then converted into distinct “nodes,” which serve as the building blocks of the page. The browser links these nodes together in a parent-child hierarchy to form the tree structure.
You can visualize the process like this:




It’s important to know that the browser simultaneously creates a tree-like structure for CSS, known as the CSS Object Model (CSSOM), which allows JavaScript to read and modify CSS dynamically. However, for SEO, the CSSOM matters far less than the DOM.
JavaScript execution
JavaScript often executes while the tree is still being built. If the browser encounters a <script> tag (without defer or async attributes, which allow for the script to load asynchronously), it pauses construction, runs the script, and then finishes building the tree.
During this execution, scripts can modify the DOM by injecting new content, removing nodes, or changing links. This is why the HTML you see in View Source often looks different from what you see in the Elements panel.
Here’s an example of what I mean. Each time I click the button below, it adds a new paragraph element to the DOM, updating what the user sees.




Your HTML is the starting point, a blueprint, if you will, but the DOM is what the browser builds from that blueprint.
Once the DOM is created, it can change dynamically without ever touching the underlying HTML file.
Dig deeper: JavaScript SEO: How to make dynamic content crawlable
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Why the DOM matters for SEO
Modern search engines, such as Google, render pages using a headless browser (Chromium). This means that they evaluate the DOM rather than just the HTML response.
When Googlebot crawls a page, it first parses the HTML, then uses the Web Rendering Service to execute JavaScript and take a DOM snapshot for indexing.
The process looks like this:




However, there are important limitations to understand and keep in mind for your website:
Googlebot doesn’t interact like a human. While it builds the DOM, it doesn’t click, type, or trigger hover events, so content that appears only after user interaction may not be seen.
Other crawlers may not render JavaScript at all. Unlike Google, some search engines and AI crawlers only process the initial HTML response, making JavaScript-dependent content invisible.
Looking ahead to a world that’s becoming more AI-dependent, AI agents will increasingly need to interact with websites to complete tasks for users, not just crawl for indexing. 
These agents will need to navigate your DOM, click elements, fill forms, and extract information to complete their tasks, making a well-structured, accessible DOM even more critical than ever.
Verifying what Google actually sees
The URL inspection tool in Google Search Console shows how Google renders your page’s DOM, also known in SEO terms as the “rendered HTML,” and highlights any issues Googlebot might have encountered. 
This tool is crucial because it reveals the version of the page Google indexes, not just what your browser renders. If Google can’t see it, it can’t index it, which could impact your SEO efforts.
In GSC, you can access this by clicking URL inspection, entering a URL, and selecting View Crawled Page.
The panel below, marked in red, displays Googlebot’s version of the rendered HTML.




If you don’t have access to the property, you can also use Google’s Rich Results Test, which lets you do the same thing for any webpage.
Dig deeper: Google Search Console URL Inspection tool: 7 practical SEO use cases
Shadow DOM: An advanced consideration
The shadow DOM is a web standard that allows developers to encapsulate parts of the DOM. Think of it as a separate, isolated DOM tree attached to an element, hidden from the main DOM.
The shadow tree starts with a shadow root, and elements attach to it the same way they do in the light (normal) DOM. It looks like this:




Why does this exist? It’s primarily used to keep styles, scripts, and markup self-contained. Styles defined here cannot bleed out to the rest of the page, and vice versa. For example, a chat widget or feedback form might use shadow DOM to ensure its appearance isn’t affected by the host site’s styles.
I’ve added a shadow DOM to our sample page below to show what it looks like in practice. There’s a new div in the HTML file, and JavaScript then adds a div with text inside it.








When rendering pages, Googlebot flattens both shadow DOM and light DOM and treats shadow DOM the same as other DOM content once rendered.
As you can see below, I put this page’s URL into Google’s Rich Results Test to view the rendered HTML, and you can see the paragraph text is visible.




Technical best practices for DOM optimization
Follow these practices to ensure search engines can crawl, render, and index your content effectively.
Load important content in the DOM by default
Your most important content must be in the DOM and appear without user interaction. This is imperative for proper indexing. Remember, Googlebot renders the initial state of your page but doesn’t click, type, or hover on elements.
Content that is added to the DOM only after these interactions may not be visible to crawlers. One caveat is that accordions and tabs are fine as long as the content already exists in the DOM.
As you can see in the screenshot below, the paragraph text is visible in the Elements panel even when the accordion tab has not been opened or clicked.




Use proper <a> tags for links
As we all know, links are fundamental to SEO. Search engines look for standard <a> tags with href attributes to discover new URLs. To ensure they discover your links, ensure the DOM shows real links. Otherwise, you risk crawl dead ends.
You should also avoid using JavaScript click handlers (e.g., <button onclick="...">) for navigation, as crawlers generally won’t execute them.
Like this: 




Use semantic HTML structure
Use heading tags (<h1>, <h2>, etc.) in logical hierarchy and wrap content in semantic elements like <article>, <section>, and <nav> that correctly describe the site’s content. Search engines use this structure to understand pages.
A common issue with page builders is making DOMs full of nested <div> elements without semantic meaning. This does little to help search engines understand your page and sets up problems for you or future devs trying to maintain the code on your site.
Ensure to maintain the same semantic standards you’d follow in static HTML.
Here’s a snippet of semantic HTML as an example:


<nav>

  <ul>

    <li><a href="/">Home</a></li>

    <li><a href="/about">About</a></li>

  </ul>

</nav>
Here’s an example of “div soup” HTML that’s non-semantic and harder for search engines and assistive technologies to understand.


<div class="nav">

  <div class="nav-list">

    <div class="nav-item"><a href="/">Home</a></div>

    <div class="nav-item"><a href="/about">About</a></div>

  </div>

</div>
Optimize DOM size to improve performance
Keep the DOM lean, ideally under ~ 1,500 nodes, and avoid excessive nesting. Remove unnecessary wrapper elements to reduce style recalculation, layout, and paint costs.
Here’s an example from web.dev of excessive nesting and an unnecessarily deep DOM:
<div>

  <div>

    <div>

      <div>

        

      </div>

    </div>

  </div>

</div>
While DOM size is not a Core Web Vital itself, excessive and deeply nested DOMs can indirectly impact performance, especially on lower-end devices.
To mitigate these impacts:
Limit layout-affecting DOM changes after initial render to reduce Cumulative Layout Shift (CLS).
Render critical above-the-fold content early to improve Largest Contentful Paint (LCP).
Minimize JavaScript execution and long tasks to improve Interaction to Next Paint (INP).

  
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The DOM’s importance will only continue growing
A workable understanding of the DOM can help you not only diagnose SEO issues, but also effectively communicate with developers and others on your team.
We know that the DOM impacts Core Web Vitals, crawlability, and indexing. As AI agents increasingly interact with websites, DOM optimization becomes more critical. It’s important to master these fundamentals now to stay ahead of evolving search and AI technologies.

Learn how the DOM structures your page, how JavaScript can change it during rendering, and how to verify what Google actually sees.

How the DOM affects crawling, rendering, and indexing

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice.png" class="attachment-large size-large wp-post-image" alt="How to use AI for SEO without losing your brand voice" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI excels at scale and data-heavy SEO tasks. But without clear brand voice, automation can make content sound the same.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice.png" class="attachment-large size-large wp-post-image" alt="How to use AI for SEO without losing your brand voice" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/How-to-use-AI-for-SEO-without-losing-your-brand-voice-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>There’s a growing problem in <a href="https://searchengineland.com/guide/what-is-seo">SEO</a> and content marketing that doesn’t get talked about enough: everything is starting to sound the same. The same phrasing and structure, the same bland tone, the same safe language, the same robotic rhythm.</p>



<p>The web is filling up with perfectly optimized content that no one actually enjoys reading. And that’s the real risk. Not that AI will replace SEOs, Google will penalize AI content, or automation will destroy search. </p>



<p>The real danger is that brands lose their voice, their personality, and their identity in the name of efficiency.</p>



<p>AI should make your SEO better, not blander. Faster, not flatter. Scalable, not soulless. </p>



<p>Here&#8217;s how to use AI without turning your brand into beige wallpaper — and without losing what makes it worth ranking in the first place.</p>



<h2 class="wp-block-heading" id="h-ai-works-best-when-it-supports-strategy">AI works best when it supports strategy</h2>



<p>AI doesn’t replace a marketing plan, positioning model, or clear brand direction. It supports them. In the same way that tools like Google Analytics, Semrush, and Screaming Frog help you understand what’s happening, AI helps you work more efficiently and supports thinking.</p>



<p>If your SEO strategy is simply, “We use AI,” you don’t have a strategy. You have a software subscription. Without a clear understanding of your audience, what they care about, the problems they’re trying to solve, how they speak, what tone they respond to, and what your brand stands for, AI will just produce generic content at scale.</p>



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<h2 class="wp-block-heading" id="h-where-ai-adds-real-seo-value">Where AI adds real SEO value</h2>



<p>AI is genuinely good at certain parts of SEO, particularly areas that rely on scale, structure, and data processing. These include:</p>



<ul class="wp-block-list">
<li>Analyzing large data sets.</li>



<li>Grouping keywords by intent.</li>



<li>Spotting patterns in SERPs.</li>



<li>Identifying content gaps.</li>



<li>Mapping topics.</li>



<li>Supporting internal linking.</li>



<li>Handling repetitive technical tasks.</li>
</ul>



<p>This is where AI earns its place. It handles repetitive manual work, speeds up research, reduces basic human error, and helps teams operate more consistently at scale. None of that is threatening. It’s simply practical.</p>



<p>Used properly, AI removes friction from SEO work and gives teams more space to focus on strategy and decision-making. The problems begin when people expect AI to execute SEO work it isn’t built for, treating it as a shortcut rather than a support system. When used this way, the output inevitably falls short of expectations.</p>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/guide/how-to-train-in-house-llms-on-brand-voice">How to train in-house LLMs on your brand voice</a></em></strong></p>



<h2 class="wp-block-heading" id="h-where-ai-falls-apart">Where AI falls apart</h2>



<p>AI struggles with the parts of marketing that build trust. Emotional intelligence, cultural awareness, tone, humor, empathy, and genuine understanding are difficult for it to replicate. It doesn’t truly grasp brand positioning, long-term thinking, or commercial judgment, and it can’t make ethical decisions in any meaningful way.</p>



<p>It can copy patterns, but it doesn’t understand meaning. It can recreate tone, but it doesn’t feel it. It can build structure, but it doesn’t create identity.</p>



<p>That’s why so much AI content feels fine but ultimately forgettable. It does the job, ticks the boxes, answers the question, follows SEO rules, and hits the word count. But it doesn’t create a connection that turns traffic into trust, and trust into customers.</p>



<p>The biggest risk with AI in SEO isn’t penalties or algorithm changes. It’s gradual brand dilution. Over time, content becomes more neutral, more generic, and less distinctive.</p>



<p>Visibility may stay the same, but identity weakens. Traffic grows, but loyalty doesn’t. Performance looks healthy, but trust doesn’t compound.</p>



<h2 class="wp-block-heading" id="h-ai-should-handle-structure-humans-should-handle-soul">AI should handle structure, humans should handle soul</h2>



<p>Effectively using AI in SEO requires role clarity. Let AI handle the structure and scale, but keep meaning firmly in human hands.&nbsp;</p>



<p>AI is well-suited to researching, analyzing, clustering, outlining, drafting frameworks, data processing, repetitive optimizing, and detecting patterns. These are process-driven tasks where automation adds real value.</p>



<p>However, everything that defines the brand and the relationship with the audience — voice, tone, storytelling, personality, trust building, emotional connection, commercial messaging, ethical judgment, and real audience understanding — should remain a human endeavor.</p>



<p>AI can help you build faster, but it shouldn’t decide <strong>what</strong> you’re building. It supports the process, but the design still belongs to you.</p>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/blend-ai-human-input-content-approach-455642">How to blend AI and human input in your content approach</a></em></strong></p>



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<h2 class="wp-block-heading" id="h-build-your-brand-voice-before-you-build-with-ai">Build your brand voice before you build with AI</h2>



<p>If you don’t define your brand voice, AI will default to something neutral and generic. That doesn’t happen because the technology is broken. It happens because you haven’t given it anything clear to work with.&nbsp;</p>



<p>Before using AI for content, clarify:</p>



<ul class="wp-block-list">
<li>Who you’re speaking to.</li>



<li>How you speak.</li>



<li>The language you use and avoid.</li>



<li>The tone you adopt.</li>



<li>The personality you want to project.</li>



<li>The values you stand for.</li>



<li>The boundaries you won’t cross.</li>
</ul>



<p>Many people assume better prompts can fix weak content. But prompts, no matter how detailed, don’t replace thinking, brand clarity, audience understanding, or positioning.</p>



<p>You can write the most detailed prompt in the world, but if your brand identity is fuzzy, the output will still be fuzzy. AI amplifies whatever you input, whether that’s clarity or chaos. There’s no middle ground.</p>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/content-marketing-ai-era-seo-volume-to-brand-fame-470540">Content marketing in an AI era: From SEO volume to brand fame</a></em></strong></p>



<h2 class="wp-block-heading" id="h-practical-ways-to-use-ai-without-losing-your-voice">Practical ways to use AI without losing your voice</h2>



<p>Here’s what works in the real world and not just in tool demos.</p>



<ul class="wp-block-list">
<li><strong>Use AI for research:</strong> Let it gather data, insights, SERP patterns, questions, clusters, topics, and gaps. Then write the content yourself or heavily edit it.</li>



<li><strong>Use AI to create frameworks:</strong> Outlines, structures, and content maps are perfect AI jobs.&nbsp;</li>



<li><strong>Train AI on your tone:</strong> Feed it examples of your writing, content, emails, site copy, and brand language. But still treat outputs as drafts and not finals.</li>



<li><strong>Human edit everything: </strong>Your job is to brand edit. Does this sound like us? Would we say this? Would our customers recognize this voice? Does this feel human?</li>



<li><strong>Protect your commercial pages:</strong> Blogs are one thing, but core service pages, product pages, and brand pages should always be human-led. These pages define your business identity.</li>



<li><strong>Use AI to scale consistency, not sameness:</strong> Consistency is brand clarity. Sameness is brand death.</li>
</ul>



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<h2 class="wp-block-heading" id="h-ai-will-amplify-whatever-your-brand-already-is">AI will amplify whatever your brand already is</h2>



<p>Google doesn’t care whether content is AI-generated. It evaluates whether the content is useful, helpful, original, trustworthy, and valuable.</p>



<p>Low-quality human content gets punished. Low-quality AI content gets punished. High-quality content wins, regardless of who or what created it.</p>



<p>The myth that “AI content gets penalized” misses the point. What actually gets penalized is bad content, and AI simply makes it easier to produce bad content faster.</p>



<p>The brands that will lead SEO over the next few years won’t be the ones with the biggest AI tech stacks. They’ll be the ones that combine human strategy with AI efficiency, clear positioning with scalable systems, and strong brand voice with intelligent automation. They’ll use AI to move faster, but not to think for them.</p>



<p>Brands with clarity and identity will strengthen their position. Brands without them will simply become louder without standing out.</p>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/ai-assisted-content-creation-speed-credibility-463822">How to balance speed and credibility in AI-assisted content creation</a></em></strong></p>

There’s a growing problem in SEO and content marketing that doesn’t get talked about enough: everything is starting to sound the same. The same phrasing and structure, the same bland tone, the same safe language, the same robotic rhythm.
The web is filling up with perfectly optimized content that no one actually enjoys reading. And that’s the real risk. Not that AI will replace SEOs, Google will penalize AI content, or automation will destroy search. 
The real danger is that brands lose their voice, their personality, and their identity in the name of efficiency.
AI should make your SEO better, not blander. Faster, not flatter. Scalable, not soulless. 
Here’s how to use AI without turning your brand into beige wallpaper — and without losing what makes it worth ranking in the first place.
AI works best when it supports strategy
AI doesn’t replace a marketing plan, positioning model, or clear brand direction. It supports them. In the same way that tools like Google Analytics, Semrush, and Screaming Frog help you understand what’s happening, AI helps you work more efficiently and supports thinking.
If your SEO strategy is simply, “We use AI,” you don’t have a strategy. You have a software subscription. Without a clear understanding of your audience, what they care about, the problems they’re trying to solve, how they speak, what tone they respond to, and what your brand stands for, AI will just produce generic content at scale.

  
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Where AI adds real SEO value
AI is genuinely good at certain parts of SEO, particularly areas that rely on scale, structure, and data processing. These include:
Analyzing large data sets.
Grouping keywords by intent.
Spotting patterns in SERPs.
Identifying content gaps.
Mapping topics.
Supporting internal linking.
Handling repetitive technical tasks.
This is where AI earns its place. It handles repetitive manual work, speeds up research, reduces basic human error, and helps teams operate more consistently at scale. None of that is threatening. It’s simply practical.
Used properly, AI removes friction from SEO work and gives teams more space to focus on strategy and decision-making. The problems begin when people expect AI to execute SEO work it isn’t built for, treating it as a shortcut rather than a support system. When used this way, the output inevitably falls short of expectations.
Dig deeper: How to train in-house LLMs on your brand voice
Where AI falls apart
AI struggles with the parts of marketing that build trust. Emotional intelligence, cultural awareness, tone, humor, empathy, and genuine understanding are difficult for it to replicate. It doesn’t truly grasp brand positioning, long-term thinking, or commercial judgment, and it can’t make ethical decisions in any meaningful way.
It can copy patterns, but it doesn’t understand meaning. It can recreate tone, but it doesn’t feel it. It can build structure, but it doesn’t create identity.
That’s why so much AI content feels fine but ultimately forgettable. It does the job, ticks the boxes, answers the question, follows SEO rules, and hits the word count. But it doesn’t create a connection that turns traffic into trust, and trust into customers.
The biggest risk with AI in SEO isn’t penalties or algorithm changes. It’s gradual brand dilution. Over time, content becomes more neutral, more generic, and less distinctive.
Visibility may stay the same, but identity weakens. Traffic grows, but loyalty doesn’t. Performance looks healthy, but trust doesn’t compound.
AI should handle structure, humans should handle soul
Effectively using AI in SEO requires role clarity. Let AI handle the structure and scale, but keep meaning firmly in human hands. 
AI is well-suited to researching, analyzing, clustering, outlining, drafting frameworks, data processing, repetitive optimizing, and detecting patterns. These are process-driven tasks where automation adds real value.
However, everything that defines the brand and the relationship with the audience — voice, tone, storytelling, personality, trust building, emotional connection, commercial messaging, ethical judgment, and real audience understanding — should remain a human endeavor.
AI can help you build faster, but it shouldn’t decide what you’re building. It supports the process, but the design still belongs to you.
Dig deeper: How to blend AI and human input in your content approach
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See terms.
Build your brand voice before you build with AI
If you don’t define your brand voice, AI will default to something neutral and generic. That doesn’t happen because the technology is broken. It happens because you haven’t given it anything clear to work with. 
Before using AI for content, clarify:
Who you’re speaking to.
How you speak.
The language you use and avoid.
The tone you adopt.
The personality you want to project.
The values you stand for.
The boundaries you won’t cross.
Many people assume better prompts can fix weak content. But prompts, no matter how detailed, don’t replace thinking, brand clarity, audience understanding, or positioning.
You can write the most detailed prompt in the world, but if your brand identity is fuzzy, the output will still be fuzzy. AI amplifies whatever you input, whether that’s clarity or chaos. There’s no middle ground.
Dig deeper: Content marketing in an AI era: From SEO volume to brand fame
Practical ways to use AI without losing your voice
Here’s what works in the real world and not just in tool demos.
Use AI for research: Let it gather data, insights, SERP patterns, questions, clusters, topics, and gaps. Then write the content yourself or heavily edit it.
Use AI to create frameworks: Outlines, structures, and content maps are perfect AI jobs. 
Train AI on your tone: Feed it examples of your writing, content, emails, site copy, and brand language. But still treat outputs as drafts and not finals.
Human edit everything: Your job is to brand edit. Does this sound like us? Would we say this? Would our customers recognize this voice? Does this feel human?
Protect your commercial pages: Blogs are one thing, but core service pages, product pages, and brand pages should always be human-led. These pages define your business identity.
Use AI to scale consistency, not sameness: Consistency is brand clarity. Sameness is brand death.

  
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AI will amplify whatever your brand already is
Google doesn’t care whether content is AI-generated. It evaluates whether the content is useful, helpful, original, trustworthy, and valuable.
Low-quality human content gets punished. Low-quality AI content gets punished. High-quality content wins, regardless of who or what created it.
The myth that “AI content gets penalized” misses the point. What actually gets penalized is bad content, and AI simply makes it easier to produce bad content faster.
The brands that will lead SEO over the next few years won’t be the ones with the biggest AI tech stacks. They’ll be the ones that combine human strategy with AI efficiency, clear positioning with scalable systems, and strong brand voice with intelligent automation. They’ll use AI to move faster, but not to think for them.
Brands with clarity and identity will strengthen their position. Brands without them will simply become louder without standing out.
Dig deeper: How to balance speed and credibility in AI-assisted content creation

AI excels at scale and data-heavy SEO tasks. But without clear brand voice, automation can make content sound the same.

How to use AI for SEO without losing your brand voice

<div><img width="926" height="486" src="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png 926w, https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature-768x403.png 768w" sizes="(max-width: 926px) 100vw, 926px" /></div>Why accessibility is emerging as a brand differentiator and a measurable growth driver for modern marketers.

<div><img width="926" height="486" src="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png 926w, https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature-768x403.png 768w" sizes="(max-width: 926px) 100vw, 926px" /></div><div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="926" height="486" src="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png" alt=" Illustration of an online storefront against a green background, featuring a digital shop window, clothing items, a “sold” sign, and icons representing growth, accessibility, and customers." class="wp-image-470185" srcset="https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature.png 926w, https://searchengineland.com/wp-content/seloads/2026/02/AudioEye-20260305-feature-768x403.png 768w" sizes="(max-width: 926px) 100vw, 926px" /></figure>
</div>


<p>Every once in a while, a product launch doubles as a marketing masterclass. Recently, Selena Gomez’s Rare Beauty released a new fragrance, and it wasn’t just the scent that captured attention. It was the bottle. Designed with accessibility in mind, the easy-to-use packaging quickly became the story, sparking conversations and praise from accessibility advocates and consumers alike.</p>



<p>The takeaway for marketers is hard to miss. An inclusive design decision became the campaign itself, delivering more cultural impact than any ad spend could buy. And the lesson for marketers is equally clear: accessibility drives loyalty, enhances brand reputation, ensures compliance, and acts as a measurable growth driver.</p>



<h2 class="wp-block-heading" id="h-accessibility-as-a-campaign-strategy">Accessibility as a campaign strategy</h2>



<p>Rare Beauty’s commitment to accessibility wasn’t a one-off. From packaging to pricing to its ongoing mental health advocacy, the brand has consistently embedded inclusivity into its DNA. That authenticity matters. Consumers can tell the difference between a stunt and a strategy, and they reward brands that lead with values.</p>



<p>And Rare Beauty isn’t alone. Across industries, leading brands are increasingly surfacing accessibility as a differentiator, not a footnote. Apple has consistently highlighted accessibility features as part of its core product storytelling, positioning them as innovation rather than accommodation. Microsoft has done the same by showcasing inclusive design in mainstream campaigns, including adaptive gaming products that reframed accessibility as a driver of creativity and connection. In fashion and retail, brands like Tommy Hilfiger and Unilever have brought adaptive design into the spotlight, integrating accessibility into product launches and brand identity rather than siloing it as a niche offering.</p>



<p>According to studies from <a href="https://www.edelman.com/trust/2022-trust-barometer/special-report-new-cascade-of-influence" target="_blank" rel="noopener sponsored nofollow">Edelman</a> and <a href="https://www.mckinsey.com/industries/consumer-packaged-goods/our-insights/true-gen-generation-z-and-its-implications-for-companies" target="_blank" rel="noopener sponsored nofollow">McKinsey,</a> 73% of Gen Z choose to buy from brands they believe in, and 70% say they try to purchase products from companies they consider ethical. These aren’t fringe preferences, they’re mainstream expectations that can redefine how marketers approach building trust and growth with their audiences.</p>



<h2 class="wp-block-heading" id="h-the-18-trillion-market-marketers-overlook">The $18 trillion market marketers overlook</h2>



<p>More than 1.3 billion people globally live with a disability, and together with their friends and family, they control over $18 trillion in spending power, according to the Return on Disability Group. For marketers, this isn’t just about compliance. It’s about growth, reputation, and building genuine trust in one of the world’s largest and most passionate consumer groups. That passion translates to powerful advocacy.&nbsp;</p>



<p>In discussions with AudioEye’s A11iance Team, a group of individuals with disabilities who regularly share feedback on real-world accessibility experiences, one member stated, “If I find a website that works and works very well for me, I will always recommend it to friends and family because I want people to have the same experience that I have.”</p>



<p>As another A11iance Team member, Maxwell Ivey, put it, “The cheapest form of advertising is word of mouth, and people with disabilities can have some of the loudest voices when we find people willing to make the effort. Because it’s that sincere effort over time that really counts with us.”</p>



<p>When accessibility becomes part of the customer experience, it creates something money can’t buy: trust and loyalty that scale through advocacy. But the opposite is also true. In a <a href="https://www.audioeye.com/post/ecommerce-accessibility-problem/?utm_source=pr&amp;utm_medium=article&amp;utm_campaign=2026-sponsored-article&amp;utm_term=martech" target="_blank" rel="noopener sponsored nofollow">survey </a>of assistive technology users, 54% said they don’t feel eCommerce companies care about earning their business.</p>



<p>Most brands are still competing for the same oversaturated demographics while overlooking this opportunity hiding in plain sight. In doing so, they’re leaving loyalty, advocacy, and revenue on the table.</p>



<p>Here’s where many brands stumble: accessibility usually stops at the shelf. Marketers invest heavily in packaging, store displays and product design, while digital experiences, the first and often primary touchpoint for customers, lag behind.</p>



<p>As accessibility-led design continues to earn attention, loyalty and earned media, the gap between physical product innovation and digital experience has become harder to ignore.</p>



<p>AudioEye’s <a href="https://www.audioeye.com/digital-accessibility-index/2025/?utm_source=pr&amp;utm_medium=article&amp;utm_campaign=2026-sponsored-article&amp;utm_term=martech" target="_blank" rel="noopener sponsored nofollow">2025 Digital Accessibility Index</a> found an average of 297 accessibility issues per web page detectable by automation alone. Each one represents friction in the customer journey, a conversion lost, or a compliance risk under frameworks like the Americans with Disabilities Act (ADA) and the European Accessibility Act (EAA).</p>



<p>Just as no campaign would launch without a brand review or legal check, no digital touchpoint should go live without an accessibility review.</p>



<h2 class="wp-block-heading" id="h-four-moves-marketing-leaders-can-make">Four moves marketing leaders can make</h2>



<p>Too often, accessibility is treated as a risk to manage instead of an advantage to leverage. The marketers who win will be the ones who flip that script. Here are four actions to start with.</p>



<h3 class="wp-block-heading" id="h-1-make-accessibility-your-campaign-hook">1. Make accessibility your campaign hook</h3>



<p>Don’t hide it, lead with it. Brands like Rare Beauty have proved that inclusive design <em>is </em>the story. Build campaigns where accessibility isn’t a footnote but the differentiator that captures attention and loyalty.</p>



<h3 class="wp-block-heading" id="h-2-bake-it-into-your-brand-system">2. Bake it into your brand system</h3>



<p>Accessibility shouldn’t sit off to the side. Make Web Content Accessibility Guidelines (WCAG) alignment part of your brand guidelines, right alongside typography, logos and tone of voice. When accessibility is codified, it becomes second nature across every campaign.</p>



<h3 class="wp-block-heading" id="h-3-use-data-as-your-proof-point">3. Use data as your proof point</h3>



<p>Marketers are storytellers, and numbers seal the story. Track accessibility improvements such as fewer user-reported barriers, higher accessibility scores and fixes like improved alt text, color contrast or form usability. Connect those metrics to existing business outcomes like conversion, reach, and sentiment to show how accessibility drives ROI, not just compliance.</p>



<h3 class="wp-block-heading" id="h-4-protect-accessibility-like-brand-safety">4. Protect accessibility like brand safety</h3>



<p>Just as you’d never risk brand safety in ad placements, don’t risk it in your digital touchpoints. Every update, seasonal campaign, or product drop should be monitored for accessibility. Trust and reputation are too valuable to leave exposed.</p>



<h2 class="wp-block-heading" id="h-the-competitive-advantage">The Competitive Advantage</h2>



<p>Rare Beauty’s fragrance launch proved something powerful: when you lead with accessibility, the story writes itself. The loyalty builds authentically, and the momentum flows naturally.</p>



<p>But here’s the opportunity: most brands still don’t get it. They’re treating accessibility as a compliance checkbox instead of the growth strategy it really is.</p>



<p>For marketers, that’s the wake-up call. Accessibility builds loyalty. It enhances brand reputation. It keeps your brand compliant. And it drives measurable growth across marketing efforts.</p>



<p>Rare Beauty showed how accessibility can capture attention at the shelf. The next opportunity is making sure it carries through online. Because when every touchpoint welcomes everyone, every campaign maximizes its impact.</p>


Every once in a while, a product launch doubles as a marketing masterclass. Recently, Selena Gomez’s Rare Beauty released a new fragrance, and it wasn’t just the scent that captured attention. It was the bottle. Designed with accessibility in mind, the easy-to-use packaging quickly became the story, sparking conversations and praise from accessibility advocates and consumers alike.
The takeaway for marketers is hard to miss. An inclusive design decision became the campaign itself, delivering more cultural impact than any ad spend could buy. And the lesson for marketers is equally clear: accessibility drives loyalty, enhances brand reputation, ensures compliance, and acts as a measurable growth driver.
Accessibility as a campaign strategy
Rare Beauty’s commitment to accessibility wasn’t a one-off. From packaging to pricing to its ongoing mental health advocacy, the brand has consistently embedded inclusivity into its DNA. That authenticity matters. Consumers can tell the difference between a stunt and a strategy, and they reward brands that lead with values.
And Rare Beauty isn’t alone. Across industries, leading brands are increasingly surfacing accessibility as a differentiator, not a footnote. Apple has consistently highlighted accessibility features as part of its core product storytelling, positioning them as innovation rather than accommodation. Microsoft has done the same by showcasing inclusive design in mainstream campaigns, including adaptive gaming products that reframed accessibility as a driver of creativity and connection. In fashion and retail, brands like Tommy Hilfiger and Unilever have brought adaptive design into the spotlight, integrating accessibility into product launches and brand identity rather than siloing it as a niche offering.
According to studies from Edelman and McKinsey, 73% of Gen Z choose to buy from brands they believe in, and 70% say they try to purchase products from companies they consider ethical. These aren’t fringe preferences, they’re mainstream expectations that can redefine how marketers approach building trust and growth with their audiences.
The $18 trillion market marketers overlook
More than 1.3 billion people globally live with a disability, and together with their friends and family, they control over $18 trillion in spending power, according to the Return on Disability Group. For marketers, this isn’t just about compliance. It’s about growth, reputation, and building genuine trust in one of the world’s largest and most passionate consumer groups. That passion translates to powerful advocacy. 
In discussions with AudioEye’s A11iance Team, a group of individuals with disabilities who regularly share feedback on real-world accessibility experiences, one member stated, “If I find a website that works and works very well for me, I will always recommend it to friends and family because I want people to have the same experience that I have.”
As another A11iance Team member, Maxwell Ivey, put it, “The cheapest form of advertising is word of mouth, and people with disabilities can have some of the loudest voices when we find people willing to make the effort. Because it’s that sincere effort over time that really counts with us.”
When accessibility becomes part of the customer experience, it creates something money can’t buy: trust and loyalty that scale through advocacy. But the opposite is also true. In a survey of assistive technology users, 54% said they don’t feel eCommerce companies care about earning their business.
Most brands are still competing for the same oversaturated demographics while overlooking this opportunity hiding in plain sight. In doing so, they’re leaving loyalty, advocacy, and revenue on the table.
Here’s where many brands stumble: accessibility usually stops at the shelf. Marketers invest heavily in packaging, store displays and product design, while digital experiences, the first and often primary touchpoint for customers, lag behind.
As accessibility-led design continues to earn attention, loyalty and earned media, the gap between physical product innovation and digital experience has become harder to ignore.
AudioEye’s 2025 Digital Accessibility Index found an average of 297 accessibility issues per web page detectable by automation alone. Each one represents friction in the customer journey, a conversion lost, or a compliance risk under frameworks like the Americans with Disabilities Act (ADA) and the European Accessibility Act (EAA).
Just as no campaign would launch without a brand review or legal check, no digital touchpoint should go live without an accessibility review.
Four moves marketing leaders can make
Too often, accessibility is treated as a risk to manage instead of an advantage to leverage. The marketers who win will be the ones who flip that script. Here are four actions to start with.
1. Make accessibility your campaign hook
Don’t hide it, lead with it. Brands like Rare Beauty have proved that inclusive design is the story. Build campaigns where accessibility isn’t a footnote but the differentiator that captures attention and loyalty.
2. Bake it into your brand system
Accessibility shouldn’t sit off to the side. Make Web Content Accessibility Guidelines (WCAG) alignment part of your brand guidelines, right alongside typography, logos and tone of voice. When accessibility is codified, it becomes second nature across every campaign.
3. Use data as your proof point
Marketers are storytellers, and numbers seal the story. Track accessibility improvements such as fewer user-reported barriers, higher accessibility scores and fixes like improved alt text, color contrast or form usability. Connect those metrics to existing business outcomes like conversion, reach, and sentiment to show how accessibility drives ROI, not just compliance.
4. Protect accessibility like brand safety
Just as you’d never risk brand safety in ad placements, don’t risk it in your digital touchpoints. Every update, seasonal campaign, or product drop should be monitored for accessibility. Trust and reputation are too valuable to leave exposed.
The Competitive Advantage
Rare Beauty’s fragrance launch proved something powerful: when you lead with accessibility, the story writes itself. The loyalty builds authentically, and the momentum flows naturally.
But here’s the opportunity: most brands still don’t get it. They’re treating accessibility as a compliance checkbox instead of the growth strategy it really is.
For marketers, that’s the wake-up call. Accessibility builds loyalty. It enhances brand reputation. It keeps your brand compliant. And it drives measurable growth across marketing efforts.
Rare Beauty showed how accessibility can capture attention at the shelf. The next opportunity is making sure it carries through online. Because when every touchpoint welcomes everyone, every campaign maximizes its impact.

Why accessibility is emerging as a brand differentiator and a measurable growth driver for modern marketers.

Accessibility can’t stop at the shelf: An $18 trillion lesson for marketers by AudioEye

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>These changes are based on feedback from recipe bloggers - but will it be enough?

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2026/03/google-robot-chef-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google is rolling out an update to AI Mode for recipe results that it hopes will make recipe bloggers happy. Google&#8217;s Robby Stein <a href="https://x.com/rmstein/status/2029266609119084644">said</a> on X, &#8220;We&#8217;ve heard feedback on recipe results in AI Mode, and we’re making updates to better connect people with recipe creators on the web.&#8221;</p>



<p>The changes aim to make <span style="box-sizing: border-box; margin: 0px; padding: 0px;">it easier to click over to recipe sites, though I am not 100% certain yet whether the recipe summaries turn&nbsp;<a href="https://searchengineland.com/google-ai-slop-thanksgiving-food-bloggers-465200" target="_blank">recipes into AI slop</a></span>.</p>



<p>&#8220;Starting today, when you search for meal ideas like “easy dinners for two,” you can tap on the dish to see links to relevant recipe sites, plus a short overview of the dish to help with inspiration,&#8221; Stein added.</p>



<p><strong>What it looks like. </strong>Here is a video of it in action:</p>



<figure class="wp-block-video"><video height="1080" style="aspect-ratio: 1080 / 1080;" width="1080" controls src="https://searchengineland.com/wp-content/seloads/2026/03/AIM_RecipeDiscovery_WatchPartyPotluck_1080x1080_ExecOGSocial_NoMusic_Disclaimer_v06.mp4"></video></figure>



<p><strong>More recipe details too. </strong>Google is also adding more information to the recipe results including cook time. Google said its &#8220;testers have found useful for deciding on a recipe.&#8221; </p>



<p>&#8220;We know there&#8217;s more work to be done on this, so stay tuned for future updates,&#8221; Robby Stein added.</p>



<p><strong>Why we care. </strong>Recipe bloggers, well, content creators in general, have not been happy with how traffic from Google&#8217;s AI experiences did not send as much traffic as the traditional search results. Here we see Google trying to make changes to encourage more searchers to click from those AI experiences to the bloggers website.</p>



<p>Will it make a big difference? Time will tell.</p>


Google is rolling out an update to AI Mode for recipe results that it hopes will make recipe bloggers happy. Google’s Robby Stein said on X, “We’ve heard feedback on recipe results in AI Mode, and we’re making updates to better connect people with recipe creators on the web.”
The changes aim to make it easier to click over to recipe sites, though I am not 100% certain yet whether the recipe summaries turn recipes into AI slop.
“Starting today, when you search for meal ideas like “easy dinners for two,” you can tap on the dish to see links to relevant recipe sites, plus a short overview of the dish to help with inspiration,” Stein added.
What it looks like. Here is a video of it in action:




More recipe details too. Google is also adding more information to the recipe results including cook time. Google said its “testers have found useful for deciding on a recipe.” 
“We know there’s more work to be done on this, so stay tuned for future updates,” Robby Stein added.
Why we care. Recipe bloggers, well, content creators in general, have not been happy with how traffic from Google’s AI experiences did not send as much traffic as the traditional search results. Here we see Google trying to make changes to encourage more searchers to click from those AI experiences to the bloggers website.
Will it make a big difference? Time will tell.

These changes are based on feedback from recipe bloggers - but will it be enough?

Google AI Mode updates recipe results to better connect people with recipe creators

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-800x450.jpg" class="attachment-large size-large wp-post-image" alt="Google Ad Manager" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>Advertisers may see reporting discrepancies in Google Ad Manager, affecting how they track performance and optimize campaigns.

<div><img width="800" height="450" src="https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-800x450.jpg" class="attachment-large size-large wp-post-image" alt="Google Ad Manager" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-800x450.jpg 800w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-600x338.jpg 600w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-200x113.jpg 200w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager-1536x864.jpg 1536w, https://searchengineland.com/wp-content/seloads/2024/01/Google-Ad-Manager.jpg 1920w" sizes="(max-width: 800px) 100vw, 800px" /></div>
<p>Google is investigating a disruption affecting Google Ad Manager, according to an update posted on the Google Ads Status Dashboard.</p>



<p>The incident began at 13:49 UTC on March 4. By 13:54 UTC, Google said it was reviewing reports that some users could access Ad Manager but weren’t seeing the most up-to-date data.</p>



<p><strong>What’s happening</strong>. The issue appears to impact reporting consistency. Specifically, Ad Exchange match rate and Ad Exchange request values are not aligning between Ad Manager’s interactive reports and the legacy reporting query tool (now deprecated).</p>



<p><strong>Why we care. </strong>Reporting discrepancies in Google Ad Manager can directly impact how you evaluate performance and optimize campaigns. If Ad Exchange match rates and request data don’t align across reporting tools, it becomes harder to trust the numbers driving pacing, forecasting and revenue decisions.</p>



<p><strong>What it means</strong>. Users can still log into Ad Manager, but reporting discrepancies may affect data accuracy — at least temporarily. There’s no indication yet of a full outage, but for publishers and advertisers relying on real-time reporting, mismatched metrics could complicate performance monitoring and optimization decisions.</p>



<p><strong>What’s next</strong>. Google says it’s actively investigating and will provide further updates. In the meantime, affected users are advised to monitor the <a href="https://ads.google.com/status/publisher/incidents/AtfCWVaqtJ4bcfjALwDd">status dashboard</a> and contact support if they’re experiencing issues not listed there.</p>


Google is investigating a disruption affecting Google Ad Manager, according to an update posted on the Google Ads Status Dashboard.
The incident began at 13:49 UTC on March 4. By 13:54 UTC, Google said it was reviewing reports that some users could access Ad Manager but weren’t seeing the most up-to-date data.
What’s happening. The issue appears to impact reporting consistency. Specifically, Ad Exchange match rate and Ad Exchange request values are not aligning between Ad Manager’s interactive reports and the legacy reporting query tool (now deprecated).
Why we care. Reporting discrepancies in Google Ad Manager can directly impact how you evaluate performance and optimize campaigns. If Ad Exchange match rates and request data don’t align across reporting tools, it becomes harder to trust the numbers driving pacing, forecasting and revenue decisions.
What it means. Users can still log into Ad Manager, but reporting discrepancies may affect data accuracy — at least temporarily. There’s no indication yet of a full outage, but for publishers and advertisers relying on real-time reporting, mismatched metrics could complicate performance monitoring and optimization decisions.
What’s next. Google says it’s actively investigating and will provide further updates. In the meantime, affected users are advised to monitor the status dashboard and contact support if they’re experiencing issues not listed there.

Advertisers may see reporting discrepancies in Google Ad Manager, affecting how they track performance and optimize campaigns.

Google Ads status dashboard flags Ad Manager reporting issue

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg" class="attachment-large size-large wp-post-image" alt="Google Shopping Ads - Google Ads" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>Google has added a “build to order” availability option in GMC giving vehicle sellers a clearer way to list customizable, factory-order models.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg" class="attachment-large size-large wp-post-image" alt="Google Shopping Ads - Google Ads" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-768x432.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/05/Google-Shopping-Ads-Google-Ads-1536x864.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google introduced a new availability value in Google Merchant Center — built specifically for vehicle sellers who don’t carry every model on the lot. The new attribute, “build to order,” lets dealers flag vehicles that aren’t physically in inventory but can be customized and ordered by customers.</p>



<p><strong>What needs to change</strong>. Sellers must update two areas: their structured data (set availability to <code>BuildToOrder</code>) and their Merchant Center feed (set availability to <code>build to order</code>). Consistency between structured data and feed submissions is critical to avoid disapprovals.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="772" height="587" src="https://searchengineland.com/wp-content/seloads/2026/03/Build-to-order.png" alt="" class="wp-image-470817" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Build-to-order.png 772w, https://searchengineland.com/wp-content/seloads/2026/03/Build-to-order-768x584.png 768w" sizes="(max-width: 772px) 100vw, 772px" /><figcaption class="wp-element-caption">Instruction on when to use the availability <code>[availability]</code> attribute in GMC </figcaption></figure>
</div>


<p><strong>Why we care</strong>. Until now, sellers had limited ways to signal that a vehicle wasn’t available for immediate pickup. The new value better reflects how many modern automakers operate — especially direct-to-consumer brands like Tesla and Rivian, where buyers configure features before production. For dealers offering factory orders or custom builds, this means clearer expectations for shoppers — and cleaner data for Google.</p>



<p><strong>The fine print</strong> Vehicles marked “build to order” must have the condition attribute set to “new.” If a listing is marked “used,” it will be disapproved — Google considers build-to-order vehicles to be newly configured, not pre-owned.</p>



<p><strong>Bottom line</strong> If you sell customizable or factory-order vehicles, this update gives you a more accurate way to reflect availability — but only if your feed, structured data and condition fields are properly aligned.</p>



<p>First spotted. This update was shared by Google Shopping specialist Emmanuel Flossie, where he shared  how to implement this update on his <a href="https://feedarmy.com/kb/google-merchant-center-adds-build-to-order-availability-attribute-for-vehicle-listings/">blog</a>. </p>



<p><strong>Dig deeper.</strong> <a href="https://support.google.com/merchants/answer/6324448?hl=en#:~:text=The%20vehicle%20isn't%20immediately,ordered%20by%20the%20customer%20directly.">&#8220;Availability [availability]&#8221; Google Merchant Centre help doc</a></p>


Google introduced a new availability value in Google Merchant Center — built specifically for vehicle sellers who don’t carry every model on the lot. The new attribute, “build to order,” lets dealers flag vehicles that aren’t physically in inventory but can be customized and ordered by customers.
What needs to change. Sellers must update two areas: their structured data (set availability to BuildToOrder) and their Merchant Center feed (set availability to build to order). Consistency between structured data and feed submissions is critical to avoid disapprovals.
Instruction on when to use the availability [availability] attribute in GMC 



Why we care. Until now, sellers had limited ways to signal that a vehicle wasn’t available for immediate pickup. The new value better reflects how many modern automakers operate — especially direct-to-consumer brands like Tesla and Rivian, where buyers configure features before production. For dealers offering factory orders or custom builds, this means clearer expectations for shoppers — and cleaner data for Google.
The fine print Vehicles marked “build to order” must have the condition attribute set to “new.” If a listing is marked “used,” it will be disapproved — Google considers build-to-order vehicles to be newly configured, not pre-owned.
Bottom line If you sell customizable or factory-order vehicles, this update gives you a more accurate way to reflect availability — but only if your feed, structured data and condition fields are properly aligned.
First spotted. This update was shared by Google Shopping specialist Emmanuel Flossie, where he shared  how to implement this update on his blog. 
Dig deeper. “Availability [availability]” Google Merchant Centre help doc

Google has added a “build to order” availability option in GMC giving vehicle sellers a clearer way to list customizable, factory-order models.

Google Merchant Center adds “build to order” for vehicle listings

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/The-PPC-AI-integrity-hierarchy-Where-to-draw-the-line-on-synthetic-ad-imagery.png" class="attachment-large size-large wp-post-image" alt="The PPC AI integrity hierarchy- Where to draw the line on synthetic ad imagery" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/The-PPC-AI-integrity-hierarchy-Where-to-draw-the-line-on-synthetic-ad-imagery.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/The-PPC-AI-integrity-hierarchy-Where-to-draw-the-line-on-synthetic-ad-imagery-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/The-PPC-AI-integrity-hierarchy-Where-to-draw-the-line-on-synthetic-ad-imagery-1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/The-PPC-AI-integrity-hierarchy-Where-to-draw-the-line-on-synthetic-ad-imagery-1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>AI can generate endless ad variations, but not every edit is ethical or policy-safe. Here’s a framework for responsible AI imagery in PPC.

PPC platforms are asset-hungry. What began as simple text ads and keyword bidding has evolved into an AI-driven ecosystem.
Tools inside Google Ads can now remove backgrounds, generate lifestyle scenes, and even create synthetic humans in minutes. But just because the technology allows it doesn’t mean every brand should use it.
That shift forces PPC advertisers to confront difficult questions: 
Are you willing to trade efficiency for authenticity? 
How far up the stack should your brand let AI operate? 
If clients knew exactly where and how you were using AI, would they trust you, or would they question you?
A brand integrity hierarchy offers a way to navigate those decisions — a four-level framework that helps determine how much AI manipulation your brand, industry, and audience can tolerate.
Why PPC needs its own AI ethics framework
Generic AI ethics guidelines don’t account for the operational realities of paid search. PPC isn’t a brand storytelling channel. It’s a high-volume, high-velocity system that demands constant image production across dozens of audiences, formats, and placements.
You must generate fresh lifestyle imagery at a pace traditional creative workflows can’t sustain.
At the same time, Google and Bing enforce strict policies around accurate product representation, especially in Merchant Center, where even minor visual inaccuracies can trigger disapprovals or account risk.
Layer on top of that the platform pressure. Google Ads added Nano Banana Pro, turning Asset Studio into an AI co-creation environment. Performance Max actively pushes you toward AI-generated backgrounds, variations, and lifestyle images to improve performance. Demand Gen and Merchant Center also now have capabilities to change product images at scale.
Most brands can’t afford the photoshoots required to keep up with this demand, yet the volume and placement of images across channels make them unavoidable if you want to compete.
This combination of policy risk, creative pressure, and platform-promoted tools is unique to PPC — which is exactly why the industry needs its own AI ethics framework.
Dig deeper: What’s next for PPC: AI, visual creative and new ad surfaces
  

    

      
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&amp;amp;lt;br>  @media (max-width: 768px) {&amp;amp;lt;br>    .headline-responsive {&amp;amp;lt;br>      font-size: 30px !important;&amp;amp;lt;br>      line-height: 1.3 !important;&amp;amp;lt;br>    }&amp;amp;lt;br>  }&amp;amp;lt;br>
Level 1 – The core (zero risk): The absolute truth
Definition: The product and the human exactly as they exist in reality.
Permitted activities:
Upscaling resolution.
Cropping for fit.
Color correction.
Non-generative background cleanup (removing dust, adjusting lighting).
PPC context: This level is fully compliant with Google and Microsoft’s “accurate representation” policies. Merchant Center explicitly permits technical edits that don’t alter the product itself. This is the safest zone for regulated industries such as finance, healthcare, legal services, and brands with strict authenticity standards.
Client talk-track: “We’re using AI to make your reality look its best on every screen size. We aren’t changing what the product is, only how it’s displayed.”
Risk assessment: Zero brand risk. Zero policy risk. Maximum consumer trust.
I think about Level 1 the same way I think about working with a graphic designer in Photoshop. You’re not changing the product, the setting, or the truth — you’re simply cleaning up what already exists.
This level is about technical refinement, not creative invention. It’s the equivalent of adjusting lighting, removing dust, fixing a crooked crop, or correcting color balance. Nothing about the image becomes “untrue.” You’re enhancing reality, not altering it.
Level 2 – The inner ring (low risk): Contextual narrative
Definition: AI-generated environment, not AI-generated product.
Permitted activities:
Generative backgrounds (e.g., placing a watch on a mountain backdrop).
Removing visual distractions (e.g., power lines, litter, unrelated objects).
Seasonal or thematic settings (e.g., holiday scenes, office environments).
Generic commodity generation (e.g., coffee beans, grain, raw materials, not branded products).
Google Ads context: Performance Max’s AI background generation is designed for this level. Google allows contextual enhancement as long as the product remains unchanged. This approach is useful for scaling creative variations without expensive location shoots or studio rentals.
Risks:
Cultural mismatch. AI-generated settings may not reflect the target audience’s reality.
Unrealistic or off-brand environments.
Requires human review for brand consistency.
Client talk-track: “We’re using AI to build a world for your product to live in. The product the customer receives is identical to the one in the ad.”
Risk assessment: Low brand risk. Low policy risk. Maintains consumer trust if executed thoughtfully.
Level 2 sits in an odd psychological space. The manipulations themselves are still low-risk. You’re creating scenes, composites, or enhanced environments the same way a graphic designer would in Photoshop.
Brands have been doing this manually for decades. But the moment AI performs the same task, something shifts. To customers, and even to some advertisers, the exact same edit can feel more artificial simply because an algorithm did it instead of a human.
That perception gap matters. 
Even when the output is identical, AI-assisted scene creation can trigger a sense of “this looks fake” that traditional Photoshop work never did. It’s irrational, but it’s real and worth acknowledging at this second tier. The actual risk is still low, but the emotional risk is higher than Level 1.
Dig deeper: AI tools for PPC, AI search, and social campaigns: What’s worth using now
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See terms.
Level 3 – The outer ring (high risk): Subject augmentation
Definition: Altering the “hero” — the product or the person.
Activities:
Beautification filters on models.
Slimming or reshaping human subjects.
Altering food textures to appear more appealing.
Removing “imperfections” from products.
Making products appear more premium than they are.
PPC industry context: The platforms prohibit misleading or manipulated product imagery. Merchant Center disapprovals often occur at this level. High sensitivity exists in beauty, apparel, food, and health categories, where consumer expectations are tied directly to visual accuracy.
Recent consumer trust studies show that users feel deceived when they discover product images have been significantly altered. This is a policy concern, more so a brand reputation issue.
Half of U.S. adults (51%) believe AI-generated and edited content needs better labeling, CNET reports. One in five (21%) believe AI content should be prohibited on social media with no exceptions.
Risks:
High PR risk (e.g., press call-out moments).
High policy risk (e.g., disapprovals, account suspension).
High consumer trust risk (e.g., returns, negative reviews).
Client talk-track: “This is where we risk the ‘press call-out.’ If we remove a model’s birthmark or make a burger look like a 3D render, we aren’t optimizing — we’re fabricating.”
Risk assessment: High brand risk. High policy risk. Potential for long-term damage to consumer trust.
Level 3 moves into territory where the image no longer reflects the real person or product. And yes, brands have been doing this in Photoshop for years, and they’ve been called out for it just as long. There’s precedent, and there’s backlash.
What changes at Level 3 is scale. AI lets you make edits instantly, repeatedly, and across entire product catalogs or campaigns. The ethical risk isn’t new, but the volume and speed at which AI enables these distortions make the consequences far bigger. A single questionable Photoshop edit is one thing. Hundreds of AI-altered images pushed across every channel is something else entirely.
This is where the risk stops being theoretical and starts becoming reputational — and where paid search teams need a clarified stance.
Level 4 – The edge (critical risk): Full fabrication
Definition: Synthetic humans, synthetic products, or fully AI-generated scenes.
Activities:
AI-generated models.
Virtual influencers.
Products that don’t exist.
Entirely fabricated lifestyle scenes with no real-world basis.
PPC context: Synthetic humans are allowed in some formats with proper disclosure, but Merchant Center prohibits listing products that don’t exist. There is a high risk of disapproval for “inaccurate representation.” This level may be acceptable for creative testing or conceptual campaigns, but it’s dangerous as a primary brand identity.
Legal precedents regarding copyright protection for non-human-authored creative works remain murky. Using fully synthetic assets may cause challenges if ownership disputes arise or if synthetic models are mistaken for real individuals without proper disclosure.
Risks:
Maximum brand risk.
Maximum policy risk.
Maximum consumer trust risk.
Potential long-term damage to “trust equity.”
Client talk-track: “This is for high-speed testing or fringe creative. If we use this for our main brand identity, we must be prepared for the ‘inauthentic’ label.”
Risk assessment: Critical brand risk. Critical policy risk. Use with extreme caution and full disclosure.
Level 4 is where AI stops enhancing reality and starts inventing it. The image becomes a construction. While I haven’t personally worked with brands operating at this tier, it’s absolutely where the industry could be headed, and it deserves serious consideration.
Fully fabricated imagery can mislead customers, violate platform policies, and erode trust at scale. When AI creates people, products, or environments from scratch, the line between creative expression and consumer deception becomes razor-thin. The reputational fallout from getting this wrong is far greater than anything in Levels 1 through 3.
This is the highest-risk tier because it asks a fundamental question: Are you still advertising your product or an AI-generated fiction of it?
Brand alignment: Defining your North Star
Not every brand should operate at the same level of the brand integrity scale. Your acceptable AI usage depends on four factors.
1. Define your non-negotiables
Every brand must choose its acceptable level(s) on the scale and document it in a brand AI manifesto for PPC.
Examples:
Dove (authenticity-driven beauty brand): Level 1 only.
Tech-forward DTC brand: Levels 2-3 acceptable with clear disclosure.
Ecommerce aggregator: Levels 1-2 for product listings, Level 3 for lifestyle content.
Action: Create a PPC brand AI manifesto in collaboration with creative, legal, and executive leadership.
2. The press test vs. the policy test
Two critical questions should guide every AI decision:
Policy test: “Will the platform approve this?”
Press test: “Would we be proud if The Verge covered this?”
The press test is the real guardrail. Google’s policies change. Public perception is permanent.
3. Human-in-the-loop protocol
Every AI-assisted asset must be checked for:
Material deception: Does this misrepresent the product or service?
Identity erasure: Does this erase diversity or cultural authenticity?
Cultural hallucinations: Does this AI-generated scene reflect reality or stereotype?
Product accuracy: Does the ad show what the customer will actually receive?
Automated AI generation should never bypass human review, especially in regulated verticals.
4. Align with your customer base
Different audiences have different tolerances for AI manipulation:
Gen Z: Values “perfectly imperfect” authenticity. Responds negatively to over-polished imagery.
B2B: Prioritizes clarity and utility. AI-generated backgrounds are acceptable. Synthetic humans less so.
Retail: Authenticity directly impacts conversion rates. Product accuracy is non-negotiable.
Dig deeper: Why creative, not bidding, is limiting PPC performance
Operationalizing the brand integrity circle inside PPC ads
Creative workflow
Implement a pre-flight checklist for AI-generated assets:
Identify the level: Core, inner ring, outer ring, or edge
Apply the press test: Would we defend this publicly?
Check for bias: Does this asset represent your audience accurately?
Verify product accuracy: Is this what the customer will receive?
Document disclosure: If synthetic humans are used, is this disclosed?
Media workflow 
Safe placements for AI-generated assets
Performance Max (with contextual backgrounds).
Demand Gen (lifestyle scenes).
YouTube thumbnails (conceptual creative).
Unsafe placements
Merchant Center product images (Level 1 only).
Regulated verticals (finance, healthcare, legal).
Sensitive categories (beauty, weight loss, medical devices).
Legal workflow
Legal teams should:
Review synthetic human usage for disclosure compliance.
Validate product accuracy claims.
Approve the brand AI manifesto.
Maintain documentation for regulatory audits.
Industry standards and emerging frameworks, such as the Coalition for Content Provenance and Authenticity (C2PA), are establishing transparency protocols for AI-generated media. Monitor these developments and align your practices accordingly.
What the PPC community thinks
Some PPC professionals are already experimenting with the tools discussed in this framework.
Ameet Khabra, owner of Hop Skip Media, tested Nano Banana when it first appeared inside the Google Ads interface. She found the tool useful for ideation and quick edits, but noted that strong results often required highly specific prompts.
That level of prompt detail may be realistic for experienced advertisers, but it’s less likely for many SMBs experimenting with AI-generated assets.
“I think it’s a great tool to use for ideation and potentially quick edits,” Khabra said. “But I would still have a graphic designer creating the final product.”
Even when AI imagery is available, some advertisers remain skeptical of how it appears to audiences.
Julie Friedman Bacchini, owner of Neptune Moon, says AI-generated images often look noticeably artificial.
“I don’t like AI images because they look like AI and that’s off-putting to me,” Bacchini said. “It can be hard to avoid. Even when you’re trying to use stock photos, there are so many AI images on those sites too.”
To understand how people outside the industry view these changes, I also polled the community on Threads.




The sentiment was strikingly consistent: while the industry focuses on efficiency, the public is increasingly wary of fantasy versus reality.
One commenter wrote:
“False advertising. That seems like a pretty big concern. As a consumer, I actually would like to see the real thing I’d be buying.”
Another described the issue more bluntly:
“Bait and switch. Fantasy versus reality. Falsehood versus the truth.”

  
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Master the spectrum, don’t avoid it
AI isn’t inherently deceptive. Nor is it inherently transparent. It’s a tool. Like all tools, its ethical impact depends on how it’s used. As PPC experts with access to these technologies and advisory roles with brands, we need a clear point of view to guide these decisions.
The brand integrity scale outlined above provides a structured approach to AI use in PPC, helping you navigate the tension between automation and authenticity. By defining your brand’s position on this spectrum today, you ensure tomorrow’s campaigns are remembered for their resonance.
Adopt ethical AI standards — define your brand AI manifesto, implement the press test, and ensure every AI-generated asset passes human review before it reaches your audience. Your brand’s integrity depends on it.

AI can generate endless ad variations, but not every edit is ethical or policy-safe. Here’s a framework for responsible AI imagery in PPC.

Are your PPC ads still authentic in the age of AI creative?

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>This change was made because the advice was "out of date" and Google handles JavaScript fine.

<div><img width="1920" height="1097" src="https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920.jpg" class="attachment-large size-large wp-post-image" alt="" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920.jpg 1920w, https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920-768x439.jpg 768w, https://searchengineland.com/wp-content/seloads/2025/12/google-code-1920-1536x878.jpg 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google has removed the &#8220;design for accessibility&#8221; section from within the <a href="https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics">Understand the JavaScript SEO basics documentation</a>.  Google <a href="https://developers.google.com/search/updates#removed-outdated-information-about-javascript-and-accessibility">said</a> this was removed because the information was &#8220;out of date and not as helpful as it used to be.&#8221;</p>



<p>The old text said that using JavaScript for page content &#8220;may be hard for Google to see.&#8221;  But Google now says that has not been true for many years, thus why Google removed the section.</p>



<p><strong>The old section. </strong>The old section read:</p>



<blockquote class="wp-block-quote is-layout-flow wp-block-quote-is-layout-flow">
<p>&#8220;Design for accessibility: Create pages for users, not just search engines. When you&#8217;re designing your site, think about the needs of your users, including those who may not be using a JavaScript-capable browser (for example, people who use screen readers or less advanced mobile devices). One of the easiest ways to test your site&#8217;s accessibility is to preview it in your browser with JavaScript turned off, or to view it in a text-only browser such as Lynx. Viewing a site as text-only can also help you identify other content which may be hard for Google to see, such as text embedded in images.&#8221;</p>
</blockquote>



<p><strong>Why it was removed. </strong>Google <a href="https://developers.google.com/search/updates#removed-outdated-information-about-javascript-and-accessibility">explained</a>:</p>



<ul class="wp-block-list">
<li>&#8220;The information was out of date and not as helpful as it used to be. Google Search has been rendering JavaScript for multiple years now, so using JavaScript to load content is not &#8220;making it harder for Google Search&#8221;.&#8221; </li>



<li>&#8220;Most assistive technologies are able to work with JavaScript now as well.&#8221;</li>
</ul>



<p><strong>Why we care. </strong>While Google Search can handle JavaScript super well, it is still important for you to double check what Google Search sees by using the URL inspection tool within Google Search Console.</p>



<p>Keep in mind, Google can handle JavaScript very well, Microsoft Bing likely can as well. But many of the new AI engines might not be able to render JavaScript as well as Google or Bing.</p>


Google has removed the “design for accessibility” section from within the Understand the JavaScript SEO basics documentation.  Google said this was removed because the information was “out of date and not as helpful as it used to be.”
The old text said that using JavaScript for page content “may be hard for Google to see.”  But Google now says that has not been true for many years, thus why Google removed the section.
The old section. The old section read:
“Design for accessibility: Create pages for users, not just search engines. When you’re designing your site, think about the needs of your users, including those who may not be using a JavaScript-capable browser (for example, people who use screen readers or less advanced mobile devices). One of the easiest ways to test your site’s accessibility is to preview it in your browser with JavaScript turned off, or to view it in a text-only browser such as Lynx. Viewing a site as text-only can also help you identify other content which may be hard for Google to see, such as text embedded in images.”
Why it was removed. Google explained:
“The information was out of date and not as helpful as it used to be. Google Search has been rendering JavaScript for multiple years now, so using JavaScript to load content is not “making it harder for Google Search”.” 
“Most assistive technologies are able to work with JavaScript now as well.”
Why we care. While Google Search can handle JavaScript super well, it is still important for you to double check what Google Search sees by using the URL inspection tool within Google Search Console.
Keep in mind, Google can handle JavaScript very well, Microsoft Bing likely can as well. But many of the new AI engines might not be able to render JavaScript as well as Google or Bing.

This change was made because the advice was "out of date" and Google handles JavaScript fine.

Google removes accessibility section from JavaScript SEO section

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop.png" class="attachment-large size-large wp-post-image" alt="Google Ads tactics to drop" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop.png 1920w, https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>From April 1, 2026, Google will block inactive developer tokens from uploading Customer Match data via the Google Ads API.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop.png" class="attachment-large size-large wp-post-image" alt="Google Ads tactics to drop" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop.png 1920w, https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop-768x432.png 768w, https://searchengineland.com/wp-content/seloads/2025/11/Google-Ads-tactics-to-drop-1536x864.png 1536w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google is communicating that starting April 1st, Customer Match uploads through the Google Ads API will stop working for certain users, in a message sent to API developers.</p>



<p>Specifically, developers who haven’t uploaded Customer Match data in the past 180 days using their developer token will no longer be able to do so via the Ads API.</p>



<p><strong>What’s changing</strong>. If you fall into that inactive bucket, any attempt to upload Customer Match lists through the Google Ads API after April 1 will fail. Instead, Google wants you to move those workflows to the <a href="https://searchengineland.com/google-launches-data-manager-api-465903">Data Manager API</a>. The change applies only to Customer Match uploads — all other campaign management and reporting tasks should continue as normal in the Google Ads API.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="688" height="1084" src="https://searchengineland.com/wp-content/seloads/2026/03/Customer-Match-upload.jpeg" alt="" class="wp-image-470800"/></figure>
</div>


<p><strong>Why Google says it’s doing this</strong>. Google positions the Data Manager API as a more modern, unified data ingestion solution across its platforms, with stronger security protocols. It also includes features not available in the Ads API, such as confidential matching and enhanced encryption — signaling a push to centralize and better secure audience data handling.</p>



<p><strong>Why we care.</strong> If you or your developers haven’t touched Customer Match uploads in the last six months, this could catch you off guard. After April 1, 2026, the old workflow simply won’t work — and errors will replace uploads. </p>



<p><strong>The takeaway.</strong> Check whether your developer token has been used for Customer Match recently and plan a migration to the Data Manager API now, before Google flips the switch.</p>



<p><strong>First spotted.</strong> This announcement was shared by Paid Search specialist Arpan Banerjee who shared the message he got from Google on <a href="https://www.linkedin.com/posts/arpan301_googleads-ppc-digitalmarketing-share-7434955721114427392-9yND/">LinkedIn</a>. </p>


Google is communicating that starting April 1st, Customer Match uploads through the Google Ads API will stop working for certain users, in a message sent to API developers.
Specifically, developers who haven’t uploaded Customer Match data in the past 180 days using their developer token will no longer be able to do so via the Ads API.
What’s changing. If you fall into that inactive bucket, any attempt to upload Customer Match lists through the Google Ads API after April 1 will fail. Instead, Google wants you to move those workflows to the Data Manager API. The change applies only to Customer Match uploads — all other campaign management and reporting tasks should continue as normal in the Google Ads API.




Why Google says it’s doing this. Google positions the Data Manager API as a more modern, unified data ingestion solution across its platforms, with stronger security protocols. It also includes features not available in the Ads API, such as confidential matching and enhanced encryption — signaling a push to centralize and better secure audience data handling.
Why we care. If you or your developers haven’t touched Customer Match uploads in the last six months, this could catch you off guard. After April 1, 2026, the old workflow simply won’t work — and errors will replace uploads. 
The takeaway. Check whether your developer token has been used for Customer Match recently and plan a migration to the Data Manager API now, before Google flips the switch.
First spotted. This announcement was shared by Paid Search specialist Arpan Banerjee who shared the message he got from Google on LinkedIn.

From April 1, 2026, Google will block inactive developer tokens from uploading Customer Match data via the Google Ads API.

Google to disable Customer Match uploads in Ads API

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns-.png" class="attachment-large size-large wp-post-image" alt="Click fraud in Google Ads: Where exposure rises and how to reduce it" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns-.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>From Video Partners to Search, fraud exposure isn’t equal. Learn where invalid clicks spike and how to shift toward higher-intent traffic.

<div><img width="1920" height="1080" src="https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns-.png" class="attachment-large size-large wp-post-image" alt="Click fraud in Google Ads: Where exposure rises and how to reduce it" style="margin-bottom: 15px;" decoding="async" srcset="https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns-.png 1920w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--768x432.png 768w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--1536x864.png 1536w, https://searchengineland.com/wp-content/seloads/2026/03/The-click-fraud-hierarchy-in-Google-Ads-Safest-to-riskiest-campaigns--1200x675.png 1200w" sizes="(max-width: 1920px) 100vw, 1920px" /></div>
<p>Google has long been considered the gold standard for ad spend compared to social platforms. But scale doesn’t equal immunity. Click fraud remains a persistent risk, and the safety of your budget depends entirely on where your ads are running.</p>



<p>While Google Ads offers immense reach, its campaigns aren’t created equal. Some are significantly more exposed to malicious activity than others. To protect your margins, you must understand what constitutes click fraud, where it originates, and how to shield your campaigns.</p>



<h2 class="wp-block-heading" id="h-what-are-invalid-clicks">What are invalid clicks?</h2>



<p>Invalid clicks are interactions that lack legitimate consumer intent. Because they aren’t driven by real human interest, they skew performance data and drain budgets without any possibility of conversion. These clicks generally originate from four primary sources:</p>



<ul class="wp-block-list">
<li><strong>Botnets:</strong> Networks of hijacked devices controlled by a “botmaster.” They generate massive volumes of automated traffic that mimic human behavior to inflate metrics or carry out DDoS attacks.</li>



<li><strong>Click farms:</strong> Large groups of low-paid workers or automated scripts tasked with manually clicking ads. They create an illusion of high engagement, misleading brands into believing a campaign is more effective than it truly is.</li>



<li><strong>Ad injection and malware:</strong> Malicious software that “injects” unauthorized ads into websites or forcibly redirects users. This hijacks legitimate revenue and erodes consumer trust.</li>



<li><strong>Pixel stuffing and ad stacking:</strong> “Invisible” fraud in which ads are served but never seen. Pixel stuffing compresses an ad into a single 1&#215;1 invisible pixel, while ad stacking layers multiple ads on top of each other in a single slot. You pay for thousands of impressions that have zero chance of being viewed.</li>
</ul>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/branded-search-competitive-ppc-defense-470510">Own your branded search: Building a competitive PPC defense</a></em></strong></p>



<h2 class="wp-block-heading" id="h-the-rising-trend-of-fraud">The rising trend of fraud</h2>



<p>The average invalid click rate across Google Ads is <a href="https://fraudblocker.com/data/invalid-click-rate-benchmarks-for-google-ads" target="_blank" rel="noopener">11.4%</a>, a recent study by Fraud Blocker found. The figure is climbing.</p>



<p>That upward trend becomes clearer over time. In 2010, the average invalid click rate sat at 5.9%. By 2024, that number jumped to 12.3%. This doubling of fraud is likely driven by the increased sophistication of AI-powered bots and malware that can more effectively bypass basic security filters.</p>


<div class="wp-block-image">
<figure class="aligncenter size-full"><img decoding="async" width="1024" height="600" src="https://searchengineland.com/wp-content/seloads/2026/03/Average-invalid-click-rate-by-year.png" alt="Average invalid click rate by year" class="wp-image-470662" srcset="https://searchengineland.com/wp-content/seloads/2026/03/Average-invalid-click-rate-by-year.png 1024w, https://searchengineland.com/wp-content/seloads/2026/03/Average-invalid-click-rate-by-year-768x450.png 768w" sizes="(max-width: 1024px) 100vw, 1024px" /></figure>
</div>


<p>Invalid click rates fluctuate based on your campaign setup. Three key factors typically drive these numbers:</p>



<ul class="wp-block-list">
<li><strong>Industry competition:</strong> High CPC industries like legal services, insurance, and real estate are primary targets. Competitors or bots may intentionally target these campaigns to exhaust your daily budget.</li>



<li><strong>Targeting parameters:</strong> Overly broad keywords or targeting regions known for high botnet activity can inadvertently invite “junk” traffic.</li>



<li><strong>Refinement tools:</strong> Negative keywords and audience exclusions act as a shield, reducing the frequency of unintentional clicks.</li>
</ul>



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<h2 class="wp-block-heading" id="h-campaign-hierarchy-which-are-the-biggest-violators">Campaign hierarchy: Which are the biggest violators?</h2>



<p>Not all Google Ads inventory carries the same level of risk. Here’s how campaign types stack up from highest to lowest exposure.</p>



<h3 class="wp-block-heading" id="h-the-biggest-risk-google-video-partners">The biggest risk: Google Video Partners</h3>



<ul class="wp-block-list">
<li>Video Partners show the highest levels of invalid traffic since they reach beyond YouTube to Google’s network of third-party sites. </li>



<li>Many of these sites offer zero control, racking up views from bots or “muted” placements in tiny windows where real people never see them.</li>
</ul>



<h3 class="wp-block-heading" id="h-display-campaigns-highly-vulnerable">Display campaigns: Highly vulnerable</h3>



<ul class="wp-block-list">
<li>Display ads are often plagued by low-quality “made-for-ads” or AI-built sites. </li>



<li>In some cases, more than half of the clicks on a specific site can be invalid. </li>



<li>While major publishers are safer, the risk across the wider network is uneven and requires constant monitoring.</li>
</ul>



<h3 class="wp-block-heading" id="h-shopping-and-demand-gen-the-automation-tax">Shopping and Demand Gen: The automation tax</h3>



<ul class="wp-block-list">
<li>These campaigns face less malicious fraud from price-checking tools, scrapers, and automated bots. </li>



<li>While not always intended to deplete your budget, these clicks still drain spend and skew optimization data, which is particularly damaging for low-margin businesses.</li>
</ul>



<h3 class="wp-block-heading" id="h-performance-max-hidden-exposure">Performance Max: Hidden exposure</h3>



<ul class="wp-block-list">
<li>While PMax scales inventory across all Google properties, it spreads risk across the entire ecosystem. </li>



<li>Because it’s difficult to see exactly where traffic originates, even a low percentage of invalid clicks can result in significant wasted spend.</li>
</ul>



<h3 class="wp-block-heading" id="h-search-the-safest-bet">Search: The safest bet</h3>



<ul class="wp-block-list">
<li>Traditional Search campaigns remain the most secure. </li>



<li>It’s much harder for bots to accurately mimic a human searching for a specific solution. </li>



<li>However, in high CPC industries, even a 2% fraud rate can be financially painful.</li>
</ul>



<h2 class="wp-block-heading" id="h-how-to-mitigate-the-risks">How to mitigate the risks</h2>



<p>Across the diverse range of industries my clients serve, I’ve identified specific patterns in how fraud manifests across different sectors. As a result, the best prescription is proactive. Address these vulnerabilities by shifting from broad, automated settings to a more refined, high-intent strategy.</p>



<p>The following table highlights the specific patterns we monitor to lower invalid click rates:</p>



<figure class="wp-block-table"><table><tbody><tr><td><strong>Factor</strong></td><td><strong>Higher risk (Aggressive)</strong></td><td><strong>Lower risk (Strict)</strong></td></tr><tr><td><strong>Location</strong></td><td>Global or &#8220;Presence or Interest&#8221;</td><td>&#8220;Presence Only&#8221; (User is physically there)</td></tr><tr><td><strong>Keywords</strong></td><td>Broad match / Generic terms</td><td>Exact match / Long-tail phrases</td></tr><tr><td><strong>Networks</strong></td><td>Including &#8220;Search Partners&#8221; and &#8220;Display&#8221;</td><td>Google Search Network only</td></tr><tr><td><strong>Exclusions</strong></td><td>No negative keywords or placement lists</td><td>Robust negative lists and app exclusions</td></tr><tr><td><strong>Scheduling</strong></td><td>24/7 (Bots often spike at night)</td><td>Custom schedules aligned with business hours</td></tr></tbody></table></figure>



<p>Here are proactive steps you can take to reduce your exposure to fraud.</p>



<ul class="wp-block-list">
<li><strong>Audit placement data:</strong> Regularly review where your ads appear. Immediately exclude low-quality apps or sites that show high click-through rates but zero conversions.</li>



<li><strong>Limit AI Max overreliance:</strong> Automation is powerful, but set and forget is a recipe for wasted spend. Maintain manual guardrails on your automated campaigns.</li>



<li><strong>Review refunds:</strong> Google does issue refunds for detected fraud, but subtle cases often slip through. Compare your internal lead data against Google’s click data to find discrepancies.</li>
</ul>



<p><strong><em>Dig deeper: <a href="https://searchengineland.com/ppc-zero-click-search-stay-profitable-463019">PPC in the age of zero-click search: How to stay profitable</a></em></strong></p>



<h2 class="wp-block-heading" id="h-campaign-structure-is-your-first-fraud-defense">Campaign structure is your first fraud defense</h2>



<p>Google is far from a uniform entity. It’s a diverse ecosystem of distinct environments where risk levels can vary by as much as 400%.</p>



<p>Prioritizing high-quality traffic results in superior data integrity, more precise optimization, and reduced acquisition costs. In today’s market, the strategic structure of your campaigns is just as vital to your success as the size of your budget.</p>

Google has long been considered the gold standard for ad spend compared to social platforms. But scale doesn’t equal immunity. Click fraud remains a persistent risk, and the safety of your budget depends entirely on where your ads are running.
While Google Ads offers immense reach, its campaigns aren’t created equal. Some are significantly more exposed to malicious activity than others. To protect your margins, you must understand what constitutes click fraud, where it originates, and how to shield your campaigns.
What are invalid clicks?
Invalid clicks are interactions that lack legitimate consumer intent. Because they aren’t driven by real human interest, they skew performance data and drain budgets without any possibility of conversion. These clicks generally originate from four primary sources:
Botnets: Networks of hijacked devices controlled by a “botmaster.” They generate massive volumes of automated traffic that mimic human behavior to inflate metrics or carry out DDoS attacks.
Click farms: Large groups of low-paid workers or automated scripts tasked with manually clicking ads. They create an illusion of high engagement, misleading brands into believing a campaign is more effective than it truly is.
Ad injection and malware: Malicious software that “injects” unauthorized ads into websites or forcibly redirects users. This hijacks legitimate revenue and erodes consumer trust.
Pixel stuffing and ad stacking: “Invisible” fraud in which ads are served but never seen. Pixel stuffing compresses an ad into a single 1×1 invisible pixel, while ad stacking layers multiple ads on top of each other in a single slot. You pay for thousands of impressions that have zero chance of being viewed.
Dig deeper: Own your branded search: Building a competitive PPC defense
The rising trend of fraud
The average invalid click rate across Google Ads is 11.4%, a recent study by Fraud Blocker found. The figure is climbing.
That upward trend becomes clearer over time. In 2010, the average invalid click rate sat at 5.9%. By 2024, that number jumped to 12.3%. This doubling of fraud is likely driven by the increased sophistication of AI-powered bots and malware that can more effectively bypass basic security filters.




Invalid click rates fluctuate based on your campaign setup. Three key factors typically drive these numbers:
Industry competition: High CPC industries like legal services, insurance, and real estate are primary targets. Competitors or bots may intentionally target these campaigns to exhaust your daily budget.
Targeting parameters: Overly broad keywords or targeting regions known for high botnet activity can inadvertently invite “junk” traffic.
Refinement tools: Negative keywords and audience exclusions act as a shield, reducing the frequency of unintentional clicks.

  
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See terms.
Campaign hierarchy: Which are the biggest violators?
Not all Google Ads inventory carries the same level of risk. Here’s how campaign types stack up from highest to lowest exposure.
The biggest risk: Google Video Partners
Video Partners show the highest levels of invalid traffic since they reach beyond YouTube to Google’s network of third-party sites. 
Many of these sites offer zero control, racking up views from bots or “muted” placements in tiny windows where real people never see them.
Display campaigns: Highly vulnerable
Display ads are often plagued by low-quality “made-for-ads” or AI-built sites. 
In some cases, more than half of the clicks on a specific site can be invalid. 
While major publishers are safer, the risk across the wider network is uneven and requires constant monitoring.
Shopping and Demand Gen: The automation tax
These campaigns face less malicious fraud from price-checking tools, scrapers, and automated bots. 
While not always intended to deplete your budget, these clicks still drain spend and skew optimization data, which is particularly damaging for low-margin businesses.
Performance Max: Hidden exposure
While PMax scales inventory across all Google properties, it spreads risk across the entire ecosystem. 
Because it’s difficult to see exactly where traffic originates, even a low percentage of invalid clicks can result in significant wasted spend.
Search: The safest bet
Traditional Search campaigns remain the most secure. 
It’s much harder for bots to accurately mimic a human searching for a specific solution. 
However, in high CPC industries, even a 2% fraud rate can be financially painful.
How to mitigate the risks
Across the diverse range of industries my clients serve, I’ve identified specific patterns in how fraud manifests across different sectors. As a result, the best prescription is proactive. Address these vulnerabilities by shifting from broad, automated settings to a more refined, high-intent strategy.
The following table highlights the specific patterns we monitor to lower invalid click rates:

FactorHigher risk (Aggressive)Lower risk (Strict)
LocationGlobal or “Presence or Interest”“Presence Only” (User is physically there)
KeywordsBroad match / Generic termsExact match / Long-tail phrases
NetworksIncluding “Search Partners” and “Display”Google Search Network only
ExclusionsNo negative keywords or placement listsRobust negative lists and app exclusions
Scheduling24/7 (Bots often spike at night)Custom schedules aligned with business hours





Here are proactive steps you can take to reduce your exposure to fraud.
Audit placement data: Regularly review where your ads appear. Immediately exclude low-quality apps or sites that show high click-through rates but zero conversions.
Limit AI Max overreliance: Automation is powerful, but set and forget is a recipe for wasted spend. Maintain manual guardrails on your automated campaigns.
Review refunds: Google does issue refunds for detected fraud, but subtle cases often slip through. Compare your internal lead data against Google’s click data to find discrepancies.
Dig deeper: PPC in the age of zero-click search: How to stay profitable
Campaign structure is your first fraud defense
Google is far from a uniform entity. It’s a diverse ecosystem of distinct environments where risk levels can vary by as much as 400%.
Prioritizing high-quality traffic results in superior data integrity, more precise optimization, and reduced acquisition costs. In today’s market, the strategic structure of your campaigns is just as vital to your success as the size of your budget.

From Video Partners to Search, fraud exposure isn’t equal. Learn where invalid clicks spike and how to shift toward higher-intent traffic.

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