Most teams treat accessibility and AI visibility as separate projects with separate owners. One lives with design and legal; the other lives with marketing or SEO. In practice, a large share of the work is the same work. A page that a screen reader can navigate cleanly is usually a page that a crawler, a retrieval system or an AI agent can parse cleanly too. If you are an operator with limited hours, that overlap is worth exploiting.
This is not a claim that accessibility is a ranking trick. It is a practical observation: both assistive technology and AI systems depend on the same underlying signals, which are text that exists in the page, structure that is expressed in markup, and meaning that does not depend on seeing a layout. Fixing those signals once helps both audiences.
Why the two problems look alike
A screen reader user cannot see that a bold line in a large font is a section heading. They rely on the heading being marked up as a heading. An AI system extracting a passage to answer a question faces a similar problem. It needs to know where one idea ends and another begins, which text is a label and which is a value, and what an image is meant to communicate.
When that information lives only in visual styling, both audiences lose it. When it lives in semantic HTML and real text, both get it. That is the whole overlap in one sentence.
The fixes that do double duty
1. Real headings in a logical order
Audit your key pages for headings that are styled paragraphs or divs. Replace them with proper heading elements in a sensible hierarchy. Write headings that describe the content below them rather than clever labels. “How long installation takes” helps a screen reader user skim and gives an AI system a clean anchor for a passage. “The fun part” helps neither.
2. Text alternatives that say something
Alt text that reads “image1.png” or “banner” is useless to everyone. For informative images, describe what the image shows and why it is on the page. For charts, put the key takeaway in nearby text as well as in the alt attribute, because a short alt description cannot carry a full data series. Decorative images should have empty alt attributes so they do not add noise.
3. Tables marked up as tables
Comparison grids, spec sheets and pricing tables are frequently built from styled divs or, worse, exported as images. Use real table markup with header cells. Screen readers can then announce which column a value belongs to, and extraction tools can associate a number with its label instead of guessing.
4. Descriptive link text
A page full of “click here” and “learn more” links is hard to navigate by keyboard and gives machines no context about where a link goes. Rewrite links so the anchor text describes the destination. This also strengthens the topical relationships between your own pages.
5. Content that exists without interaction
Accordions, tabs and carousels are fine when the content is present in the HTML and simply hidden visually. They become a problem when the text is only loaded after a click or rendered entirely by client-side scripts. Assistive technology may handle it inconsistently, and many crawlers will not see it at all. Check your most important answers with scripts disabled or with a text-only fetch.
6. Transcripts and captions
Captions and transcripts are an accessibility requirement for video and audio. They are also the only way most of that spoken content becomes text a system can read and quote. Publish transcripts on the page as HTML, not only as a downloadable file.
Running it as one workstream
The efficient move is to stop running two audits. Start with your highest-value pages: the ones that answer common customer questions, describe products or services, or explain pricing. For each page, check five things in a single pass:
- Is the main content present as text in the initial HTML?
- Do headings form a clear outline that matches the questions people ask?
- Do images, charts and media have meaningful text equivalents?
- Are tables, lists and forms built with the right elements?
- Does every link tell you where it goes?
Automated accessibility checkers will catch some of these issues, such as missing alt attributes or empty links. They will not tell you whether a heading is useful or whether alt text is accurate, so pair the tool with a human review of priority pages.
Where the overlap ends
The two disciplines are not identical. Accessibility covers color contrast, focus states, motion and many interaction details that do not affect how an AI system reads your content. Generative engine optimization covers off-site reputation, entity consistency and prompt monitoring, which have nothing to do with assistive technology. Treat the overlap as a shared foundation, not a replacement for either program.
Also be careful not to stuff alt text or hidden labels with keywords. That harms the people who rely on those attributes and does not make your content more trustworthy to anyone. Write for the human using assistive technology first; the machine benefit follows from accuracy.
Measuring the result
Track accessibility issues on priority pages as a count you can drive down. Alongside it, keep a short set of questions your customers ask and check periodically whether AI assistants answer them accurately and cite your pages. You will not be able to attribute every change to a single fix, but you will see whether the pages you cleaned up start appearing as sources.
If you want an outside view on how your site’s structure affects AI answers, a team offering generative engine optimization services can help prioritize. Either way, the starting point is the same: make the meaning of your pages explicit in the markup, and both people and machines will read them better.