
AI visibility audit. Where you stand in AI answers, in one report.
A one-off baseline of where you stand in AI answers, with a prioritised plan.
Answer baseline, crawler check, source gaps and plan[X] weeksScope and price in writing- Answer baseline
- Crawler and access check
- Source gaps
- Prioritised plan
When it fits
Three situations where this is the right first step, and when to start somewhere else.
What you get
Named deliverables and the working files behind them. Ownership and usage terms are agreed for each scope.
- A bounded prompt set, engine list and collection window for the one-off baseline.
- A reporting definition for omissions, failed requests and captured answer evidence.
How it runs
Typical stages for a mid-sized project. Your scope states the exact dates.
- Scope01One-off AI baseline evidence packDefine a bounded prompt set and collect dated answer captures before scoring gaps.
- Verify02Acceptance evidenceThe report names engines, modes, failed collections and the exact sample behind each measure.
- Review03Boundaries and dependenciesA one-off audit cannot establish a durable trend and is not ongoing monitoring unless separately scoped.
- Area
- Crawler access
- Finding
- OAI-SearchBot blocked in robots.txt
- Impact
- Not shown in ChatGPT search answers
- Fix
- Allow OAI-SearchBot
- Owner
- [YOUR DEV]
Price and scope
Starting prices in USD. TopClick is not VAT-registered. The final scope and price are fixed in writing before work starts.
- You get
- Answer baseline, crawler check, source gaps and plan
- Timeline
- [X] weeks
- Billed
- Per project
- 01Sample breadth and the manual validation needed before interpreting an apparent visibility gap.
- Answer baseline
- Crawler and access check
- Source gaps
- Prioritised plan
- A named lead and a kickoff call
- A dated baseline before work starts
- A walkthrough of the results with your team
- Fixing the issues found
- Ongoing monitoring
- Guaranteed mentions
Base prices in USD; EUR and GBP displays are indicative. Payment, pause and external-cost terms.
Questions about AI visibility audit
01Do we need llms.txt?
It does no harm, but no major engine has confirmed using it. We check it in the audit and don’t sell it on its own.
02How many questions do you test?
[X] buyer questions per market and language, agreed with you.
03How is this different from the free snapshot?
The snapshot has a short AI check. The audit is the full baseline and plan.
04How is the price fixed?
Scope, deliverables and price are agreed in writing before work starts. The starting price is the floor; your quote depends on the factors on this page.
05Can we start small?
Yes, start with the free snapshot or a smaller first scope, and expand once you have seen the work.
Request AI visibility audit
- 1Send your site and what you need
- 2We check search and AI visibility
- 3PDF by email: five website problems and AI visibility, within two business days of receiving your website URL
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