Webclat / AI Visibility

The AI visibility audit: your baseline in AI answers

You cannot manage what nobody measured. Most brands have never seen a single number describing their presence in AI answers - the audit produces that baseline, with the same instrument discipline we apply to tracking audits.

In short

The AI visibility audit measures where your brand appears across ChatGPT, Perplexity, AI Overviews, and peers: share of voice on the questions that matter, which competitors get cited instead, what AI crawlers actually fetch from your site, and a prioritized plan to close the gap.

What gets measured

LayerMethodOutput
Answer presenceSystematic prompting across engines on your question set, tracked over a window - not one-off screenshotsMention rate, share of voice, sentiment, position when named
Competitor citationsThe same question set, scored for who gets cited insteadWho owns each question, and with which page formats
Crawler realityYour server logs, analyzed for AI bot activity (GPTBot, PerplexityBot, ClaudeBot, Google-Extended and peers)What the engines actually fetch - and what they are blocked from
Content liftabilityPage-level review: is there a quotable answer, a verifiable claim, a clean structure?Per-page citation-readiness scoring
AI-referred trafficAnalytics segmentation of AI referrers and dark-traffic patternsThe baseline for the only trend line leadership will ask about

What the deliverable looks like

One document, evidence-first: every claim traces to a logged answer, a crawler log line, or an analytics segment. Findings rank by opportunity - the questions with buying intent where you are absent and a competitor is quotable - and every recommendation names its mechanism, so your team can execute without us if they choose.

House law applies here too: anything the audit could not measure is labeled an assumption, in the deliverable itself. An AI-visibility report full of unverifiable claims would be its own counterexample.

What usually surprises people

  • How often AI crawlers were quietly blocked years ago by a blanket bot rule nobody revisited.
  • How many of their category's questions carry zero search volume - invisible to every keyword tool they have ever bought.
  • That a competitor's mediocre-but-well-structured guide outcites their excellent-but-unquotable one, consistently.

Common questions

How is AI answer presence even measurable?

By asking engines the same question set systematically over a tracking window and logging the answers - the same way rank tracking works, one layer up. We run this tooling on our own brand continuously.

Which engines does the audit cover?

ChatGPT, Google AI Overviews, and Perplexity as the core set - plus Claude and Copilot where your audience uses them. Coverage follows your buyers, not the tool list.

Do you need access to our systems?

Server logs (or CDN logs) and analytics read access make the crawler and traffic layers factual instead of inferred. The answer-presence layer needs nothing from you.

What does it cost?

It is a fixed-scope engagement, priced by question-set size and estate size - scoped in one call.

Get the baseline nobody in your category has.

Mention rates, competitor citations, crawler reality, and the gap plan - measured with instruments we run on ourselves.

Request the Audit