LLM SEO Audit Checklist: 25 Checks to See Why AI Search Skips You

What is an LLM SEO audit, and how is it different from a traditional SEO audit?

An LLM SEO audit tests how well AI systems understand, trust and recommend your brand, while a traditional SEO audit tests whether Google can crawl, index and rank your pages.

It looks at your site through the lens of large language models: semantic clarity, entity strength, factual consistency and whether AI engines can summarise your expertise accurately. It also tests how your brand appears when someone asks ChatGPT "who are the best [service] providers in [city]?" or asks Perplexity to compare you with a competitor.

Brands with strong technical SEO scores can still be missing from AI answers, because they were optimised for how crawlers index pages, not for how machines interpret and quote information.

The 25-point LLM SEO audit checklist

Run the checks in this order. Each group depends on the one before it: an engine has to reach your pages before it can understand them, and understand them before it can cite them.

A. Crawler access (checks 1 to 5)

• 1. Check robots.txt rules for each AI bot. Look for OAI-SearchBot (ChatGPT search), GPTBot (OpenAI training), PerplexityBot, Google-Extended and ClaudeBot. Blocking OAI-SearchBot or PerplexityBot removes you from those engines' search answers; blocking GPTBot or Google-Extended affects model training, not search.
• 2. Check CDN, firewall and security-plugin bot rules. Cloudflare bot modes, WAF rules and plugins such as Wordfence can block a crawler that robots.txt allows. Test from outside your network or check the firewall logs.
• 3. Verify Bing Webmaster Tools and submit your sitemap. Bing powers Microsoft Copilot, and OpenAI says ChatGPT search draws on third-party search providers.
• 4. Confirm key pages return 200 and show content without JavaScript. View the raw HTML of your homepage and top service pages. If the main copy only appears after scripts run, some AI fetchers will see an empty page.
• 5. Make sure no commercial page carries a noindex tag. A forgotten noindex on a service or pricing page hides it from search indexes that AI answers draw on.

B. Entity and schema (checks 6 to 11)

• 6. State who you are, what you do and who you serve in the first 100 words of your homepage. If a machine has to guess your category from the third paragraph, it will often guess wrong.
• 7. Use one consistent author identity on every post. Same name, same credentials, one bio and one author page.
• 8. Add Organization, Person and Article or Service schema. Validate it. Google says no special schema is needed for its AI features, so treat markup as a clarity signal, not a trick.
• 9. Keep your name, address, phone and market coverage identical everywhere. Across every page, every schema block and every profile.
• 10. Link your profiles with sameAs. Point your Organization markup at your LinkedIn, directory and social profiles so they resolve to one entity.
• 11. Check your presence on the reference sites engines use. LinkedIn, Crunchbase, Wikidata where you qualify, and the directories that matter in your industry.

C. Content citability (checks 12 to 18)

• 12. Put a direct answer under every H2. One or two sentences that make sense when lifted out on their own.
• 13. Publish prices or price ranges. Buying prompts ask about cost more than anything else, and engines skip pages that dodge it.
• 14. Use tables for comparisons and numbered steps for processes. Structured passages are easier to extract and quote accurately.
• 15. Cite named, checkable sources. Replace "studies show" with the organisation, the date and a link.
• 16. Show real case studies with real outcomes. Name the client where they allow it, and state the source and date range for every figure.
• 17. Show a visible, accurate last-updated date. On every page that carries facts, prices or statistics.
• 18. Treat FAQ markup as structure only. Keep FAQ answers word-for-word with the visible text. Do not add it expecting rich results.

D. Internal structure (checks 19 to 20)

• 19. Link related topics into clusters. Each guide should link to its hub page and its siblings with descriptive anchors.
• 20. Leave no money page orphaned. Every service and pricing page should be reachable within three clicks of the homepage.

E. Off-site footprint (checks 21 to 22)

• 21. Find the third-party sources engines cite in your category. Run your buyer prompts and list every review site, "best of" list, publication and forum thread that shows up as a source.
• 22. Check how those sources describe you. Missing is a gap. Wrong services, old prices or the wrong location are worse, because engines repeat them.

F. Prompt tests and measurement (checks 23 to 25)

• 23. Ask ChatGPT, Perplexity, Gemini and Google AI Overviews about your category. Use a fixed set of 20 to 50 prompts, logged out, and save every answer with the date and engine.
• 24. Log citation share and answer accuracy. For each answer: are you cited, mentioned without a link, or missing, and is what the engine says about you correct?
• 25. Track AI referrals in GA4 and rerun monthly. Set up a segment for AI referral sources and rerun the same prompt set each month so you compare like with like.

Which technical and schema elements matter?

Crawler access matters most, then clean Organization, Person and Article or Service schema. Google says no special AI schema and no llms.txt file is needed for its AI features.

Each AI crawler does a different job, so check them one by one rather than allowing or blocking "AI bots" as a group:

Sources: OpenAI crawler documentation, Perplexity crawler documentation, Google crawler documentation. ChatGPT search also draws on third-party search providers, which is why Bing Webmaster Tools is on the checklist.

On schema, Organization, Person and Article or Service markup tell engines what each page represents. Many sites still run markup from years ago with broken sameAs links or the wrong organisation name, so validate it. Alt text and image relevance matter too, because AI systems read images as well as text. For a deeper walk-through, see our LLM technical SEO guide.

How do I track and measure LLM SEO performance?

Track four things: citation share, mention share against competitors, answer accuracy and AI referral sessions in GA4. Measure them on the same fixed prompt set every month.

• Citation share: the share of answers that link to your domain as a source.
• Mention share: how often you are named, with or without a link, compared with your top competitors.
• Answer accuracy: whether engines describe your services, locations and prices correctly.
• AI referral sessions: visits from ChatGPT, Perplexity, Gemini and Copilot in a GA4 segment.

AI answers change from run to run and models update often, so one result on one day is noise. Keep the prompt set fixed, run it logged out, save every answer with the date and engine, and read the trend across months.

What are the most common mistakes?

Most mistakes come from checking one layer and assuming the rest is fine, or from treating a tactic as a shortcut.

• Checking robots.txt and stopping there. A CDN bot rule or security plugin can block the same crawler.
• Blocking GPTBot and thinking you have left ChatGPT search, or the reverse. Search runs on OAI-SearchBot; GPTBot is about training.
• Treating llms.txt as a fix. Google Search does not use it.
• Adding FAQ markup for rich results. Use it as structure that matches the visible text, nothing more.
• Testing prompts while logged in, once. Personal history shapes answers, and single runs vary. Use a fixed set, logged out, repeated.
• Letting business details drift. Two spellings of your name or an old address on a directory is enough to blur your entity.

LLM SEO audit checklist: frequently asked questions