Do the images on your site have names like image-1.jpg, and do your section headings jump from one level to another with no logic? You're making your site hard to read not only for people with disabilities, but also for every AI system trying to understand what you're talking about. A site that's technically messy gets processed with more errors — and when AI has to choose a reliable source, it picks the one that's tidiest. Fixing these things takes less than a day and improves your visibility on two fronts at once.
There’s one thing many people overlook when they think about visibility in AI answers: site accessibility. I’m not talking about a regulatory requirement to tick off a checklist — I’m talking about a structural advantage that makes your content more readable for machines, not just for people.
The reason is simpler than you think. An accessible site uses hierarchical headings, descriptive alt text, ARIA labels, semantic HTML. These are the very same elements an AI crawler looks for when it needs to understand what your page says. Accessibility and AI readability share the same technical DNA.
Structural readability: the bridge between accessibility and AI
When we talk about web accessibility, we’re talking about making content understandable regardless of the user’s device or condition. A screen reader needs ordered headings to navigate the page. A low-vision user needs alt text to understand an image. A user with a motor disability needs keyboard navigation.
An AI crawler needs the exact same things. It doesn’t see the page the way you do — it sees the HTML code, the tag structure, the hierarchy of information. If that structure is chaotic, the crawler has to do more work to extract meaning. And here’s where a finding I found particularly interesting comes in.
Volpini et al. (2026), in their paper on how structured data works as a memory layer for AI agents, measured something specific:
“The agent provides substantial lift on poorly formatted documents but when document format is optimized, the agent adds negligible accuracy lift.”
(Structured Linked Data as Memory Layer)
Translated: when the document is already well formatted — headings in order, correct semantics, clear structure — the AI agent doesn’t need to compensate. It reads it directly. When the document is a mess, the agent has to work harder to understand it, and the result is less accurate.
It follows that an accessible site, precisely because it respects rigorous formatting standards, reaches the AI already “pre-digested”. The crawler doesn’t have to interpret, it just has to read.
Think about what happens in practice. You have a services page with five sections. If instead those five sections are five <div> elements with no headings, the system sees a single block — and when it tries to extract the right snippet, the result is less precise.
How accessibility multiplies the points of contact
There’s a second aspect that concerns the amount of information the AI manages to extract. Again from the same paper by Volpini et al.:
“Enhanced pages transform opaque entity URIs into readable, structured information by resolving linked relationships and presenting them as human-readable content.”
(Structured Linked Data as Memory Layer)
The concept of the “enhanced page” in the paper refers to pages that turn opaque structured data into content readable by both humans and machines. It’s exactly the principle of accessibility: making explicit what is implicit.
An image without alt text is a black hole for the AI. It doesn’t know what it represents, it can’t use it as context. The same image with descriptive alt text becomes one more piece of information the system can use to understand what the page is about. A generic heading like “Our services” says nothing. A heading like “SEO consulting services for e-commerce” says everything — to the user, to the screen reader and to the AI crawler.
And the quantitative figure is significant:
“Enhanced pages exposed 2.4x more discoverable links than JSON-LD pages (102.2 vs. 41.9).”
(Structured Linked Data as Memory Layer)
Pages with enriched structure expose 2.4 times more discoverable links. More points of contact means more chances that the AI understands who you are, what you do, and how you’re connected to your industry. It’s mechanics, not opinion.
And there’s a practical upshot you may not have considered. Every alt text you write, every ARIA label you add, every heading you structure correctly isn’t just an improvement for accessibility — it’s one more semantic signal the AI crawler can use to build its understanding of your page. You’re literally adding pieces of context that didn’t exist before.
An image without alt text is a black hole for the AI.
What makes a site accessible in the eyes of AI
You don’t need to become a WCAG expert to grasp the principle. But you do need to know which elements matter most for dual readability — human and artificial.
Correct hierarchical headings. One H1 for the title, H2 for the main sections, H3 for the sub-sections. Never skip levels, never use headings for aesthetic reasons. The screen reader uses them to navigate, the AI crawler uses them to segment the content into self-contained blocks — as I explained when I talked about semantic HTML markup.
Descriptive alt text on every image. Not “photo1.jpg”. Not “product image”. But a description that explains what the image shows and why it’s relevant in context. For the low-vision user it’s the difference between understanding and not understanding. For the AI crawler it’s one more piece of context that helps classify the page.
ARIA labels where they’re needed. ARIA landmarks (navigation, main, complementary) explicitly tell the system which parts of the page are which. A menu is a menu, the main content is the main content, the sidebar is a sidebar. Without these signals, the crawler has to guess — and guessing means risking extracting the wrong snippet.
Working keyboard navigation. If the site isn’t navigable without a mouse, there’s almost always a structural problem in the HTML. Broken tab order, non-focusable links, interactive elements that can’t be reached. These same problems make the page harder to parse for a crawler too.
Contrast and legibility. Light-gray text on a white background is a problem for the user and a sign of poor care for anyone assessing the page’s technical quality. It’s not a direct factor for the crawler, but it’s part of the overall page experience — the same principle I told you about in the article on page experience for AI.
One H1 for the title, H2 for the main sections, H3 for the sub-sections.
Accessibility as a signal of overall quality
Here’s the point that ties it all together. An accessible site isn’t just more readable — it’s a signal that whoever built it took care of the structure. And structural care is reflected in everything: HTTPS and security, loading speed, crawlability, clean markup.
AI systems don’t have an “accessibility: yes/no” flag. But when a crawler processes a page with correct headings, complete alt text, ARIA landmarks and semantic HTML, it extracts more information with fewer errors. When it processes a page with nested divs, images without alt, out-of-order headings and broken navigation, it loses pieces.
It follows that accessibility works as a trust proxy: it’s not a direct ranking factor, but it’s an indicator that correlates with the overall quality of the site. And overall quality is what determines whether the AI uses you as a source or discards you.
Let me give you a concrete example. Two sites in the same industry, comparable content. One has semantic headings, alt text on every image, ARIA landmarks, clean HTML. The other has generic divs, images with no description, headings used only for font-size. When the AI crawler processes them, from the first it extracts a clear map of the entity, the services, the relationships — from the second it extracts disconnected fragments. There’s no “accessibility” score in the ranking, but the result is that from the first site it can build a reliable answer, from the second it can’t.
A first check you can do today
Open one of your most important pages and try to navigate it using only the keyboard — Tab to move between elements, Enter to activate links. If you can’t reach the main content in fewer than 5 steps, there’s a structural problem.
Then check the images’ alt text. If even one is missing on a key page, it’s a blind spot for any system that reads your HTML — screen reader or AI crawler.
These are surface-level checks, the starting point for understanding where you stand. For a complete audit you need tools like Lighthouse, axe DevTools, and above all a manual review of the HTML structure — the kind of work that requires specific skills and a trained eye for code semantics.
But even from these first checks you can tell whether your site is speaking to both people and machines, or whether it’s leaving an important part of its readability on the table.
