Here is a finding that should stop every marketer chasing AI visibility. AudioEye's 2026 Digital Accessibility Index scanned more than 160,000 web pages and found that AI search tools are routing people to the least accessible pages on the web. The interior pages that answer engines love to cite (product pages, guides, support docs) carry about 10% more accessibility issues than homepages. The average page in the study had 62 issues.
So the pages you most want ChatGPT and Perplexity to quote are often the ones those tools can read the worst.
That is the part most AEO and GEO advice skips. The genre is full of guidance on content strategy: write clear answers, structure for questions, earn citations. Good advice.
But the biggest thing stopping an AI system from reading and citing your page is usually not your prose. It is your markup. And the fixes are the same ones accessibility teams have been shipping for 20 years.
A screen reader does not see your layout. It walks the underlying code and announces what that code actually says. If a button is an unlabeled div, it announces nothing useful. If your headings are styled text instead of real heading tags, it cannot tell a section title from a caption.
Large language models parse pages in a strikingly similar way. They lean on the structure in your HTML to understand what a page is about: what is a heading, what is navigation, what an image shows, and how it all connects. When that structure is missing, both a blind user and a citation-hungry model are left guessing. This is the quiet overlap. The work that makes a page readable to assistive technology is the same work that makes it legible to an answer engine.
Two birds, one set of fixes.
Map to WCAG 1.3.1 (Info and Relationships, Level A).
Use one H1 for the page topic, then H2 and H3 in logical order, coded as actual heading tags, not bold text sized to look like headings. Screen reader users navigate by heading. So, in effect, do models. Your heading tree is a table of contents that tells an AI what your page covers and how the parts relate. Skipped levels and fake headings scramble that map.
Map to WCAG 4.1.2 (Name, Role, Value, Level A) and 2.4.4 (Link Purpose).
Buttons, form fields, and links need names in the code, not just an icon or the word "here." WebAIM found unlabeled elements everywhere: empty links on nearly half of home pages and missing form labels on a similar share. An unlabeled control is invisible to a screen reader and ambiguous to a model trying to understand what your page lets a user do. "Start free trial" beats "click here" for a person and a machine.
Map to WCAG 1.1.1 (Non-text Content, Level A).
Alt text is the only version of an image that an AI can read. Describe what the image shows and why it matters, not "image123.png." If a chart makes your point, put the takeaway in the alt text. This is the closest thing to free AEO on this list, and more than half the web still skips it.
Map to WCAG 2.1.1 (Keyboard, Level A) and 2.4.1 (Bypass Blocks).
If a person cannot reach your content with a keyboard, the content sits behind a script that assistive technology, and often a crawler, cannot get through. Menus, modals, and infinite scroll are the usual high-impact culprits. Semantic landmarks (nav, main, footer) tell both a screen reader and a model where the real content lives.
None of these are opinions. Each one is testable, and each maps to a specific, published standard.
You do not need a full audit to begin. Run a page you want cited through a free tool like AudioEye's accessibility scanner, and you will get an inventory of these exact issues in a few minutes. Start with the pages you most want AI to surface: your best guides, your top product pages, your highest-intent support content. Those interior pages the Index found are most likely to be broken, and the ones search engines reach for first.
Fix headings and labels first. They are low effort and high return for both audiences.
Marketers have spent two years treating AEO and GEO as a new discipline. Much of it is not. The teams who made the web work for people with disabilities were building citation-ready pages long before there was anything to cite them. Accessibility was never only a compliance line item. Done well, it is how you get read: by a person using a screen reader, and by the model deciding whose answer to quote.
So before you rewrite your content for the AI era, ask a simpler question about your most important pages: can anything actually read them? Fix that, and you have helped two audiences at once. Skip it, and the best content strategy in the world is talking to a machine that cannot hear it.
So the pages you most want ChatGPT and Perplexity to quote are often the ones those tools can read the worst.
That is the part most AEO and GEO advice skips. The genre is full of guidance on content strategy: write clear answers, structure for questions, earn citations. Good advice.
But the biggest thing stopping an AI system from reading and citing your page is usually not your prose. It is your markup. And the fixes are the same ones accessibility teams have been shipping for 20 years.
AI reads your page the way a screen reader does
A screen reader does not see your layout. It walks the underlying code and announces what that code actually says. If a button is an unlabeled div, it announces nothing useful. If your headings are styled text instead of real heading tags, it cannot tell a section title from a caption.
Large language models parse pages in a strikingly similar way. They lean on the structure in your HTML to understand what a page is about: what is a heading, what is navigation, what an image shows, and how it all connects. When that structure is missing, both a blind user and a citation-hungry model are left guessing. This is the quiet overlap. The work that makes a page readable to assistive technology is the same work that makes it legible to an answer engine.
Two birds, one set of fixes.
Independent data backs this up. The 2026 WebAIM Million report found that 95.9% of home pages had detectable WCAG failures, and 53.1% were still missing alt text on images. These are not edge cases. They are the default state of the web.
The four fixes that actually move the needle
Here is what the conceptual pieces leave out: a testable checklist, mapped to real WCAG 2.2 success criteria, that improves accessibility and AI readability at the same time.
Give every page one real heading structure.
Map to WCAG 1.3.1 (Info and Relationships, Level A).
Use one H1 for the page topic, then H2 and H3 in logical order, coded as actual heading tags, not bold text sized to look like headings. Screen reader users navigate by heading. So, in effect, do models. Your heading tree is a table of contents that tells an AI what your page covers and how the parts relate. Skipped levels and fake headings scramble that map.
Label every interactive element.
Map to WCAG 4.1.2 (Name, Role, Value, Level A) and 2.4.4 (Link Purpose).
Buttons, form fields, and links need names in the code, not just an icon or the word "here." WebAIM found unlabeled elements everywhere: empty links on nearly half of home pages and missing form labels on a similar share. An unlabeled control is invisible to a screen reader and ambiguous to a model trying to understand what your page lets a user do. "Start free trial" beats "click here" for a person and a machine.
Write alt text that carries meaning.
Map to WCAG 1.1.1 (Non-text Content, Level A).
Alt text is the only version of an image that an AI can read. Describe what the image shows and why it matters, not "image123.png." If a chart makes your point, put the takeaway in the alt text. This is the closest thing to free AEO on this list, and more than half the web still skips it.
Make navigation and content work without a mouse.
Map to WCAG 2.1.1 (Keyboard, Level A) and 2.4.1 (Bypass Blocks).
If a person cannot reach your content with a keyboard, the content sits behind a script that assistive technology, and often a crawler, cannot get through. Menus, modals, and infinite scroll are the usual high-impact culprits. Semantic landmarks (nav, main, footer) tell both a screen reader and a model where the real content lives.
None of these are opinions. Each one is testable, and each maps to a specific, published standard.
Where to start
You do not need a full audit to begin. Run a page you want cited through a free tool like AudioEye's accessibility scanner, and you will get an inventory of these exact issues in a few minutes. Start with the pages you most want AI to surface: your best guides, your top product pages, your highest-intent support content. Those interior pages the Index found are most likely to be broken, and the ones search engines reach for first.
Fix headings and labels first. They are low effort and high return for both audiences.
The reframe
Marketers have spent two years treating AEO and GEO as a new discipline. Much of it is not. The teams who made the web work for people with disabilities were building citation-ready pages long before there was anything to cite them. Accessibility was never only a compliance line item. Done well, it is how you get read: by a person using a screen reader, and by the model deciding whose answer to quote.
So before you rewrite your content for the AI era, ask a simpler question about your most important pages: can anything actually read them? Fix that, and you have helped two audiences at once. Skip it, and the best content strategy in the world is talking to a machine that cannot hear it.