Quick answer

To run an AI search audit, build an inventory of 30 to 100 buyer prompts across discovery, comparison, and validation stages; test them across ChatGPT, Perplexity, Gemini, and Google AI Overviews; log brand mentions, competitor rank, cited sources, and factual errors; and verify robots.txt, schema, and HTML extractability before prioritizing fixes.

Step 1: Define Audit Scope and Buyer Prompt Inventory

Start with real commercial questions rather than isolated head keywords. A diagnostic audit for a single product needs 30 to 50 prompts, while a multi-product commercial baseline typically covers 80 to 150 prompts.

Group prompts by buying stage: problem awareness, category education, vendor discovery, head-to-head comparison, and procurement validation. High-intent discovery and comparison prompts reveal where revenue-influencing shortlists are won or lost.

Five-stage AI search audit workflow from prompt inventory and multi-engine capture to root-cause diagnosis and backlog
A complete AI search audit connects prompt capture and citation mapping directly to technical and editorial fixes.
  • Record engine name, date, location, and exact prompt wording for every test run.
  • Capture both the full answer text and every cited link or footnote.

Step 2: Map Cited Sources and Factual Accuracy

For each prompt, record whether your brand was absent, mentioned without a link, cited via an owned URL, or listed below competitors. Separately classify every cited domain into owned pages, review sites, editorial media, or community forums.

Vertical diagnostic matrix distinguishing technical crawl blocks, missing owned content, and third-party citation gaps
Classify every visibility miss into a specific root cause before assigning engineering, SEO, or PR fixes.
Audit SymptomLikely Root CauseFirst Fix
Zero owned citations despite strong rankingsBot blocks or JS-only contentAudit robots.txt and server-side HTML
Competitors cited on vendor listsMissing comparison or spec pagesPublish structured comparison and criteria guides
Outdated pricing or wrong categoryStale third-party directoriesUpdate G2, docs, and partner profiles

Step 3: Verify Technical Readiness and Ship the Backlog

Check `robots.txt` for `OAI-SearchBot` and `PerplexityBot`, confirm canonical tags and XML sitemaps, and verify that core pricing, FAQ, and spec tables render in raw HTML without client-side scripts.

Prioritization chart plotting AI audit fixes by commercial prompt impact against implementation effort
Prioritize fixes on high-intent discovery and comparison prompts that combine low engineering effort with clear citation gaps.

Use our AEO audit checklist for a printable worksheet and test live pages with the AI citation checker.

Frequently asked questions

How many prompts do I need for a reliable AI search audit?

Use 30 to 50 prompts for a focused single-product diagnostic check, and 80 to 150 prompts for a multi-persona commercial baseline.

What should an AI search audit deliver besides visibility scores?

Every row should connect a prompt, competitor shortlist, cited URLs, factual accuracy label, root-cause diagnosis, and a specific page or off-site owner to fix.

Do I need llms.txt to pass an AI search audit?

No. Focus first on crawlable HTML, clean sitemaps, accurate structured data, and third-party corroboration rather than experimental files.

Next steps & related pages

Want a baseline visibility check for your brand?

Save the CSV checklist above for manual audits, or request a baseline check on your target US buyer prompt while our automated tracking workspace rolls out.

Request Baseline Check