AI search audit.
GBP 2,250.
Two UK working days.

The TomHow AI search audit costs GBP 2,250 and takes two UK working days. In that time TomHow reviews your public website, your Google Search Console and GA4 evidence where you supply access or exports, dated Semrush evidence where available, and up to 12 priority pages. One fresh 20-question ChatGPT panel is run and recorded, and up to three named competitors are compared against you. You receive a signed report with linked source and evidence rows, ten prioritised fixes, a 90-day action plan and a 45-minute findings call. If you sign a qualifying retainer within 30 days of receiving the audit, the GBP 2,250 fee is credited in full against your first month's invoice. It is a point-in-time diagnostic, not a promise of rankings, citations, leads or regulatory approval.

The audit does not include a multi-provider AI panel, implementation, ongoing monitoring or paid API work. Evidence that could not be checked is labelled unavailable rather than presented as fact.

This is not a sales call in PDF form. Atlas records one fresh 20-question ChatGPT panel. Anvil reviews the public site and priority pages. Compass turns the findings into ten prioritised fixes. Thomas Howcroft reviews and signs the final document.

If you sign a qualifying retainer (Citation Engine, AEO Stack or Search Lab Retainer) within 30 days of receiving the audit, the GBP 2,250 audit fee is credited in full against your first month's retainer invoice. If you do not retain us, you still leave with the baseline, the fixes and the roadmap.

The included provider is one fresh, recorded 20-question ChatGPT panel. This is not a multi-provider panel. Each platform is recorded separately because AI answers do not behave the same way. Where a platform is unavailable, quota-limited or does not show a result, the report says that plainly.

• Included. One fresh, recorded 20-question ChatGPT panel using the agreed buyer questions.
• Evidence. Exact prompt, date, answer state, named brands and visible source URLs are stored in the source ledger.
• Excluded. No multi-provider panel, paid API work, implementation or ongoing monitoring.

Every finding needs a source row: prompt, platform, cited brand, cited URL where visible, confidence note, data quality note and recommended next move. The prompts are written down before analysis, and the report keeps the exact wording, platform, date, answer state and outcome for each useful row.

• Exact prompt text, not a paraphrase.
• Platform, answer mode, date and capture status.
• Cited brand and cited URL where the tool exposes one.
• Whether your brand is present, absent or only weakly mentioned.
• The competitor or source that filled the answer instead.
• Confidence note, data quality note and next action.

The audit uses an agreed prompt set of twenty buyer questions, then keeps the exact wording in the report. The aim is not to trick a tool into mentioning you. The aim is to test real buyer questions and see who gets named.

• Buyer shortlist prompts. Who should we hire, which agency is credible, which provider understands this category.
• Problem prompts. Why is my brand not appearing in AI answers, how do I track citations, what does an AEO audit include.
• Category prompts. GEO agency, AEO consultant, AI search optimisation, LLM citation tracking, AI visibility reporting.
• Competitor prompts. Brand versus named competitors, alternatives, tools and the sources AI answers already lean on.
• Audience prompts. What a B2B founder, marketing lead or technical team should fix first.

The public sample uses fabricated data, but the structure, source index, signed narrative and next-action layer match the reporting format. Open the sample report.

• Executive verdict. What is broken, what is fixable and what to do first.
• Prompt set. The exact questions used for the audit.
• Recorded 20-question ChatGPT baseline and source ledger.
• Competitor citation map. Who appears where you do not.
• Technical AEO findings. Schema, llms.txt, crawler policy, sitemap, internal links and entity clarity.
• Content and authority gaps. Pages, proof assets and source signals worth building.
• 90-day action plan. Owners, order, evidence and next measurement.
• Source index. Evidence rows and data quality notes.

The public website and up to 12 priority pages are checked for crawl access, page ownership, schema fit, internal links, source quality and visible buyer answers. Crawler policy, schema, sitemap hygiene, entity clarity, internal links and page depth decide whether good content is easy to retrieve. A technical AEO checklist is delivered with severity and effort, alongside a ranked content and entity roadmap. Google Search Console and GA4 evidence are included when you supply usable access or exports.

Good fit: you already have a site, some search demand and a reason to be cited in AI answers. It does not guarantee AI citations; it shows the current gap and the work needed to improve your odds. The output is written so a founder, marketing lead or developer can act without waiting for another sales meeting. Use the short contact form to send your website and the decision you need help making. A stored reference confirms receipt.

• The site URL you want audited.
• Up to 3 competitors to compare.
• Priority queries if you already know them.
• GA4 and Search Console access, or exports, if you want those included.

• Sample monthly reportA fabricated public-safe report showing the source index, citation section, shipped work and next actions.
• AEO explainerHow answer-engine work supports clear, useful pages without inventing a separate product.
• GEO explainerHow buyer questions, brand evidence, competitors and source gaps fit the wider service.
• UK AI search agencies and GEO tools comparedHow to judge providers by evidence standard, not pitch language.
• How to measure AI search visibilityHow to keep provider evidence separate, dated and reproducible, and how the prompt set is chosen.
• Zero traffic recovery planThe full diagnostic route for proving whether traffic is gone or the tracking setup has broken.
• Search setup guideHow the audit treats entity clarity, service clarity and machine-readable evidence.
• Why AI tools name some agenciesThe corroboration layer behind AI recommendations: owned pages, third-party evidence and repeatable source language.