The AI Visibility Audit Worksheet

What’s inside the worksheet

Five sections, five scores. Each section takes about four minutes. Each section reveals a different reason AI engines might be ignoring your brand.

1. Section 01 — Entity Footprint. Can the models recognize you at all? Five checks on name consistency, third-party descriptions, schema sameAs, Wikipedia/Wikidata presence, and how ChatGPT actually describes you when prompted.
2. Section 02 — Off-Site Presence. Are you where the engines actually retrieve from? Reddit is ChatGPT’s #1 cited domain. If your category’s conversations happen in threads you’ve never touched, you’re invisible by default.
3. Section 03 — Extractability. Can a model lift a clean answer from your page? The classic SEO page — hundreds of words of warm-up before the answer — is nearly impossible for an AI engine to quote.
4. Section 04 — Structured Signals & Schema. Are you machine-legible? Article schema, Person schema, FAQPage, llms.txt, and the difference between schema markup that helps and schema markup engines penalize.
5. Section 05 — Technical Access & Freshness. Can engines reach you at all? Several brands accidentally block GPTBot, Perplexity, and Google-Extended via robots.txt or Cloudflare defaults — and never notice.

Plus: the diagnosis

After you tally your score (out of 25), the worksheet matches you to one of four bands — Cited and compounding, Visible but leaking, Recognized rarely retrieved, or Invisible by default. Each band comes with a sequencing recommendation: what to fix first, what to leave alone for now, and how long it takes to move to the next band.

The counterintuitive part: your weakest section is your priority, not your strongest. AI visibility is a chain — a brilliant, extractable page that an AI crawler is blocked from reaching scores zero in practice. Fix the foundation, then build on top.

Who this is for

This worksheet is built for:

• Founders whose brands rank on Google but get little or no mention in AI search.
• Marketing leaders who need a fast, structured way to audit AI visibility before scoping a fix.
• SEO professionals expanding into GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization).
• Consultants who want a reusable client diagnostic for the first 30 minutes of an engagement.

Built from the audit I run for clients

This isn’t a marketing exercise. It’s the same five-section audit I work through in the first call of an AI-visibility engagement. I’ve used variants of it on a global skincare leader’s UAE/KSA programmes, a national tourism authority’s worldwide awareness work, and dozens of smaller founders and ecommerce brands. The 25 checkpoints in this PDF are the ones that consistently predict whether a brand will get cited by AI engines or stay invisible.

The work behind it is documented in depth in the writing on aknigam.com/insights:

• What is GEO? The 2026 Definitive Guide — the foundation framework this worksheet operationalises.
• The 7 AI Search Ranking Factors That Actually Drive Citation Rate — the impact-ranked implementation companion.
• How to Rank in ChatGPT, Perplexity, Gemini, and Google AI Overviews — engine-by-engine tactics.
• How to Build an AI Organic Growth Operator — how to automate 80% of this audit’s maintenance work.