The AI Search Audit: A 20-Point B2B Checklist
A step-by-step AI search audit checklist for B2B sites: technical access, content structure, entity signals, and citation testing, with clear pass criteria.
- Audit in order: technical access, structure, entity signals, citations.
- Verify AI crawler access and JavaScript-free content rendering first.
- Score your top 20 pages against the answer-first extraction pattern.
- Baseline citations across four assistants, then rerun quarterly.
Part one: technical access for AI crawlers
Start where failures are binary. Check robots.txt for rules blocking AI crawlers like GPTBot, ClaudeBot, and PerplexityBot, and decide your access policy deliberately rather than by default. Verify your key pages render their content in HTML without requiring JavaScript execution, since many AI crawlers do not render scripts.
Then confirm the hygiene basics: valid sitemap, sane response times, no soft 404s on important pages, and an llms.txt file if you have adopted one. Any failure here caps everything downstream, which is why the audit starts with plumbing.
Part two: content structure and answer-readiness
Sample your 20 most valuable pages and score each against the extraction pattern: does the H1 state the topic plainly, are H2s question-shaped, does each section answer within the first two sentences, and could each section stand alone? Score honestly; most libraries built for the narrative era fail this at first pass.
Check coverage next. List the top 30 questions buyers ask and verify a dedicated page answers each one directly. Gaps in that map are usually your highest-ROI content projects.
Part three: entity and structured data signals
Validate schema on your key templates: Organization with sameAs links, Article on editorial pages, FAQPage where genuine Q&A exists, and parity between markup and visible content. Then check entity consistency across your homepage, About page, LinkedIn, and major directories. Every description should say the same thing about what you are.
Finish this part by asking each major assistant 'What is [your company]?' and scoring the answers. This single test summarizes your entity health better than any tool.
Part four: citation testing and the scored backlog
Run your 25-query buyer panel across ChatGPT, Perplexity, Gemini, and Claude. Log every citation and mention for you and your top three competitors. This establishes the baseline every future review measures against, and it usually surprises someone in the room.
Convert all findings into a backlog scored by impact and effort: technical blockers first, then top-page restructuring, then entity fixes, then content gaps. Rerun the full audit quarterly; it becomes the heartbeat of your AEO program and a natural part of your marketing operating system.
- Audit in order: technical access, structure, entity signals, citations.
- Verify AI crawler access and JavaScript-free content rendering first.
- Score your top 20 pages against the answer-first extraction pattern.
- Baseline citations across four assistants, then rerun quarterly.
Frequently asked questions
How do I audit my website for AI search readiness?
Work through four layers: technical access (AI crawlers allowed, content renders without JavaScript), content structure (answer-first, question-shaped sections on top pages), entity signals (consistent descriptions and valid schema), and citation testing (a fixed buyer-query panel across major assistants). Score each layer and rank fixes by impact.
Which AI crawlers should I allow in robots.txt?
For visibility in AI answers, allow the retrieval crawlers of the assistants you care about, such as GPTBot, ClaudeBot, and PerplexityBot. Some organizations block training crawlers while allowing search-time retrieval; that is a policy decision to make explicitly. Just avoid blocking by accident.
How often should I run an AI search audit?
Quarterly for the full audit, monthly for the citation panel. AI search behavior shifts faster than classic search, and quarterly reruns catch regressions like broken schema or new crawler blocks. The monthly panel keeps citation share visible between full audits.
What tools do I need for an AEO audit?
Surprisingly few. Your robots.txt and a curl or browser check for rendering, Google's Rich Results Test for schema, Search Console for query data, and direct manual prompting of the assistants for citation testing. Third-party AI visibility trackers help at scale but are optional at the start.
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