METRICS
AI Visibility Audit

IN ONE SENTENCE
An AI visibility audit works through four layers in order: can it be crawled, is it retrieved, is it mentioned and cited, and does that visibility convert.
An audit exists to answer 'which layer is broken'. The order matters: while the crawl layer is broken, better content will not enter answers, so rewriting content first is wasted effort.
OUR POSITION
Audits start at the crawl layer, not the content layer. The most expensive failure we have seen is a site serving an empty shell to retrieval crawlers while serving full HTML to conventional search engines — every piece of content work returns nothing, and nothing but a crawl-layer check will reveal it.
Layer 1 — can it be crawled
Separate retrieval crawlers from training crawlers. Citation requires the retrieval ones to be allowed; training access is a brand policy decision.
A common fatal configuration is blocking the retrieval crawlers that create visibility while allowing the training crawlers — contributing corpus while switching off exposure.
Confirm nothing is blocked at the CDN or edge outside your site config, and that key content does not depend on client-side rendering. What the crawler reads is the HTML you return.
Layer 2 — is it being retrieved
Does the sitemap declare the right domain and every indexable page? On multi-domain multilingual sites, each domain needs to declare its own.
Does structured data appear in server-rendered HTML? If a client-side script injects it, crawlers that do not execute scripts never see it.
Are same-intent pages competing with each other, and how much of the site sits outside the range where ranking produces any traffic?
Layers 3 and 4
Layer 3 is mentions and citations: mention rate, average position and the composition of cited sources across a fixed question set.
Layer 4 is conversion: does visibility produce visits, do landing pages answer the intent behind the question, and is the enquiry path intact. Getting the first three right and dropping the fourth is a common and expensive waste.
Data behind this page
30–40%
Relative visibility lift from adding statistics / citations / quotations
Source:Princeton GEO paper, KDD 2024, GEO-bench 10,000 queries,2024
0.1
Monthly clicks per keyword ranking below position 10 in this category
Source:Our own keyword-level analysis of 4,074 non-branded keywords for a leading site in this category (13.1 for positions 1–3, 3.4 for 4–10),2026-06
Sources
- [1]Optimizing your website for generative AI features on Google Search.Google Search Central.2026-05-15
- [2]GEO: Generative Engine Optimization.Aggarwal et al., KDD 2024.2024
Updated 2026-08-10