AI & Answer Engines
AI Search Visibility Audit
Find out where you actually stand in AI search before spending on it.
Most businesses have no idea whether AI assistants mention them, recommend them or describe them accurately. An AI search audit replaces that guesswork with a measured baseline and a prioritised plan, so budget goes where the gap actually is.
You probably need this if
- You have never tested how AI assistants describe your business
- You suspect you are losing traffic to AI answers but cannot quantify it
- You want evidence before committing budget to AEO
- Someone reported an AI tool saying something wrong about you
What you get
- Structured prompt-set testing across the four major assistants
- Mention rate, sentiment and factual accuracy scoring
- Competitor citation comparison showing who wins which prompts
- Crawler access and technical readiness review
- Prioritised roadmap with effort and expected impact per action
How we approach it
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Build the prompt set
Design prompts that mirror how buyers genuinely ask, covering recommendation, comparison and problem-led phrasing.
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Test systematically
Run each prompt multiple times across assistants, because responses vary and a single run is not evidence.
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Score the results
Record mention rate, position within the answer, sentiment and factual accuracy so the baseline is quantified rather than impressionistic.
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Prioritise the work
Translate findings into a ranked action list, separating quick technical fixes from longer-term source-building.
AI Search Audit: common questions
How is an AI search audit different from an SEO audit?
An SEO audit examines your site against ranking factors. An AI search audit tests the outputs of assistants themselves, measuring whether you are mentioned, how accurately you are described and which sources get cited instead. The evidence comes from the assistants rather than from a crawler.
How reliable are AI visibility measurements?
Individual responses are non-deterministic, so a single test proves nothing. Reliability comes from running a fixed prompt set repeatedly and tracking rates over time. Treat any tool reporting a single precise visibility score with caution.
What does an AI search audit typically find?
Most commonly: AI crawlers blocked by an inherited robots.txt rule, thin third-party presence in the comparison content assistants rely on, and content that answers questions but buries the answer too deep to be extracted cleanly.
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