Service

AI Search Readability Audit

Most websites are invisible to AI. Not because they lack content — but because their structure is unreadable. This audit fixes that.

AI agents — including ChatGPT, Perplexity, Gemini, Claude, and browser automation tools — do not only read the visible page. Many inspect pages through semantic HTML, headings, ARIA roles, labels, lists, tables, and accessibility-tree-like representations. If this structure is broken, agents misunderstand, skip, misquote, or fail to accurately cite your content.

What is an AI Search Readability Audit?

An AI Search Readability Audit is a structured technical review that evaluates how well your website can be understood, extracted, and cited by AI systems. It covers seven categories: semantic HTML, heading hierarchy, ARIA quality, image accessibility, content extraction, schema clarity, and AI-agent extractability.

The output is a scored report per page, a prioritised fix list, and — where applicable — corrected markup and schema delivered directly to your codebase.

Why headings, tables, and lists matter

AI agents extract meaning from structure, not just text. A page that uses real headings, real tables, and real lists is parsed differently — and more accurately — than one built from generic divs and visual styling. The structural signal tells the agent what is a question, what is an answer, what is a comparison, and what is a call to action.

• HeadingsDefine the topic hierarchy and help agents build an accurate summary of the page.
• TablesMake comparison data, pricing, and feature matrices extractable without guesswork.
• ListsSignal grouped concepts — services, outcomes, steps — so agents can enumerate them correctly.
• Semantic elementsTell agents which content is navigation, which is the main article, and which is a footer note.
• ARIA labelsProvide accessible names so agents can identify what each interactive element does.

AI Agent Readability Score

Each page is scored across seven weighted categories. The total score represents how readable and extractable the page is to AI agents, accessibility tools, and structured data systems.

What the audit checks

1. 01
   Semantic HTML hardening

   Every page is reviewed for proper use of <main>, <header>, <nav>, <section>, <article>, <footer>. Generic div structures that should be semantic elements are flagged and corrected.

2. 02
   Heading hierarchy

   Exactly one H1 per page. Logical H2 sections. H3 only nested under relevant H2s. No skipped levels. No headings used purely for visual styling.

3. 03
   Real tables for structured data

   Comparison data, pricing, feature matrices, and audit scores must use proper <table>, <thead>, <tbody>, <th>, and <td> elements — not divs or grids.

4. 04
   Real lists for grouped content

   Services, outcomes, deliverables, process steps, and FAQs must use <ul>, <ol>, and <li> — not random divs.

5. 05
   Accessible buttons and links

   Every button has an accessible name. Every link has descriptive text. Icon-only controls have aria-label. No divs or spans acting as buttons.

6. 06
   ARIA quality review

   Unnecessary ARIA removed. Incorrect roles corrected. Accordions have aria-expanded. Menus have accessible labels. No semantic overrides.

7. 07
   Image and media accessibility

   Important images have meaningful alt text. Decorative images use alt="". No keyword stuffing in alt attributes.

8. 08
   FAQ semantic structure

   FAQ questions are real headings. FAQ answers are real paragraphs. FAQPage schema only applied where FAQs are visible on the page.

9. 09
   JSON-LD schema validation

   All schema blocks validated for correct @type, absolute @id values, visible content alignment. No fake reviews, ratings, or credentials. No duplicate Person entities.

10. 10
    Canonical and crawler signals

    Canonical tags, robots.txt, sitemap.xml, and llms.txt are consistent, complete, and use the correct canonical domain.

Who this is for

• ▸Consultants and professional service providers who need to be accurately cited by AI search engines
• ▸Founders and executives whose personal brand pages are being summarised by ChatGPT and Perplexity
• ▸Businesses investing in content that AI agents are failing to extract or represent correctly
• ▸Teams that have built visually impressive websites with poor underlying semantic structure
• ▸Anyone whose site ranks in Google but is invisible or misrepresented in AI-generated answers

Business outcomes

• Accurate AI citations

  Your content is quoted and cited correctly when AI tools answer questions about your service area.

• Higher extractability

  ChatGPT, Perplexity, and Gemini can identify your topic, offer, entity, and CTA without guessing.

• Accessibility compliance

  Pages meet WCAG standards for screen readers and assistive technology users.

• Cleaner schema graph

  Your entity identity is unambiguous across all pages — one Person, no duplicates, absolute IDs.

• Improved crawl quality

  Googlebot and AI crawlers parse the same clean semantic structure that screen readers use.

• Competitive advantage

  Most websites are structurally invisible to AI agents. A readable site is a rare advantage in AI search.

Deliverables

• →AI Agent Readability Score for each audited page (scored across 7 categories)
• →Prioritised fix list with severity ratings
• →Corrected semantic HTML for pages where structural issues were found
• →Updated JSON-LD schema with absolute @id values and entity-first structure
• →Validated sitemap, robots.txt, canonical tags, and llms.txt
• →Written audit report summarising findings and recommendations
• →Optional: direct codebase implementation of all fixes

Frequently Asked Questions

Ready to fix it

Book an AI Search Readability Audit

A single session to identify exactly what AI agents cannot read on your site — and a clear path to fix it.