Key takeaway (the short answer): Before I promise any result on an engagement, I run a 12-point AI Visibility Audit to see whether AI answer engines can find, extract, and trust their brand. The checks fall into three groups: Retrievability (can engines reach and read you), Extractability (can they lift a clean answer), and Authority (do they trust and cite you). Work through the 12 checks below and you’ll know exactly where you’re losing AI visibility — before spending a rupee on content.
Most marketing engagements start with a canned 90-day plan. Founders are right to screen that out — you can’t prescribe before you diagnose. So I don’t. Every engagement starts with a discovery audit, and in 2026 a big part of that is AI visibility: whether ChatGPT, Perplexity, Gemini and Google’s AI Overviews can surface your brand when it matters.
This is the actual checklist. Twelve checks, three categories, each with what I look for and why it matters. Run it on your own site this week.
How to use this: For each check, score yourself Pass / Partial / Fail. Anything below a Pass is a specific, fixable gap. Tally the categories at the end — your weakest category is where AI visibility is leaking fastest.
Part A — Retrievability (can engines find and read you?)
Check 1 — Are your key pages crawlable and indexable?
Engines can’t cite what they can’t reach. Confirm no accidental noindex, no blocked paths in robots, and that your most important pages return clean 200s. A single stray noindex on a go-live can erase months of work — I’ve seen it happen on launches, and it’s the first thing I verify.
Check 2 — Is your content in a live sitemap?
A current, submitted XML sitemap is the fastest path for engines to discover new and updated pages. Missing or stale sitemaps slow discovery to a crawl.
Check 3 — Does the page load fast and render without JavaScript gymnastics?
If core content only appears after heavy JavaScript rendering, some crawlers miss it. Server-rendered or statically-present text is safest. Slow TTFB also depresses crawl frequency.
Check 4 — Is there one canonical version of each page?
Duplicate or self-conflicting canonicals confuse retrieval and split authority. Every important page should point cleanly to itself. (Canonical loops — where the homepage canonical 301s back on itself — are a classic silent killer.)
Part B — Extractability (can engines lift a clean answer?)
Check 5 — Does each page open with a direct-answer block?
The first screen should answer the page’s core question in 2–4 self-contained sentences. This is the single most-lifted element on any page. No answer block = you’re handing the citation to a competitor who wrote one.
Check 6 — Do you use structured formats engines favor?
FAQs, comparison tables, numbered steps. Generative engines disproportionately cite structured content because it’s clean to extract. Walls of prose rarely get quoted.
Check 7 — Are headings descriptive and question-shaped?
Headings phrased as the actual questions users ask (not clever puns) map directly to prompts and give engines clear extraction anchors.
Check 8 — Is the right schema in place?
Article, FAQPage, and Person schema tell engines what they’re reading and who wrote it. Structured data doesn’t guarantee citation, but its absence makes you harder to classify and trust.
Part C — Authority (do engines trust and cite you?)
Check 9 — Is your author identity established (E-E-A-T)?
Is there a real, consistent author with demonstrable expertise — bio, Person schema, a credible experience trail? Engines weight genuine experience. Anonymous or thin author signals get discounted. My own trail, for reference, is 18+ years across brands like UNext Learning, Cleartrip, Wakefit, Simpl, Lendingkart, Adda52, FreeCharge and Times Internet — stated as employment history, which is exactly the kind of verifiable experience signal engines and readers look for.
Check 10 — Is your brand corroborated across the web?
Search your brand and key people across LinkedIn, industry mentions, directories and third-party references. Consistent, repeated mentions build the corroboration engines rely on before citing. A single site with no external footprint is a weak source.
Check 11 — Is your positioning identical everywhere?
Does your site say the same thing about who you are as your LinkedIn, your bylines, your profiles? Inconsistent positioning fragments your entity and weakens trust. One clear, repeated story wins.
Check 12 — Do you know your current share-of-answer?
For your top target prompts, are you cited at all — and next to whom? If you’ve never checked, that’s check 12 failed by default. You can’t improve what you’ve never measured. Baseline it now.
Scoring your audit
| Category | Checks | What a weak score means |
|---|---|---|
| A — Retrievability | 1–4 | Engines literally can’t reach or read you — fix first, nothing else matters until this passes |
| B — Extractability | 5–8 | Engines reach you but can’t cleanly lift an answer — you’re leaving citations on the table |
| C — Authority | 9–12 | Engines can read you but don’t trust you enough to cite — the slowest, highest-leverage fix |
Most brands I look at pass Retrievability, half-pass Extractability, and fail Authority. That’s the usual shape — and it tells you exactly where the next quarter of work should go.
FAQ
What is an AI visibility audit? It’s a structured review of whether AI answer engines can find, extract and trust your brand — the AEO equivalent of a technical SEO audit. This 12-check version covers retrievability, extractability and authority.
How is this different from a normal SEO audit? A traditional SEO audit optimizes for ranking on a results page. An AI visibility audit optimizes for being cited inside the answer — which adds extractability (direct-answer blocks, structured formats) and authority/corroboration checks a classic audit skips.
How long does the audit take? The 12 checks here are a same-day self-assessment. A full engagement audit — with share-of-answer measurement across real prompts and a prioritized fix plan — typically takes about a week.
Do I need special tools? No. Most checks use your browser, your CMS, and the answer engines themselves (ask them your target questions and log who gets cited). Measurement gets easier with tooling, but the diagnosis doesn’t require it.
What do I do after I’ve scored myself? Fix your weakest category first — retrievability before extractability before authority, in that order. If you want a second set of eyes and a prioritized plan, that’s exactly what the discovery audit is for.
Related reading
- How to Get Your Brand Cited by ChatGPT & Perplexity (AEO Playbook) — the full step-by-step method behind these checks.
- AEO vs SEO vs GEO: What Actually Changed in 2026 — why these checks look different from a classic SEO audit.
Want this run on your brand — properly, with real share-of-answer numbers? I run this exact audit at the start of every engagement, discovery-first, no canned plan. Start a project inquiry →
