How Does the AI Search Visibility Audit Work?
Direct answer
The audit combines a versioned AI-answer question set with technical search, content, entity, local, authority, analytics, and conversion evidence. Every finding distinguishes direct observation from inference, states what is unknown, identifies the business effect, and includes an action, risk, acceptance criterion, and measurement method.
1. Confirm the Business and Measurement Objective
Before testing, we confirm the canonical business name, website, legal or operating relationship, services, priority markets, target buyers, conversion path, competitors, and the commercial outcome the work is intended to support. Unknown facts remain marked as unknown; they are not filled with assumptions.
2. Freeze the Question and Query Set
Questions are grouped by plain-language problem, provider discovery, platform, audit, cost, comparison, implementation, monitoring, industry, and local intent. For each AI-answer test we record the exact wording, platform and product mode, date, location, account or personalisation limitation, observed brands, factual accuracy, cited sources, and source type.
3. Audit the Search and Website Foundation
We inspect protocol and host variants, redirects, status codes, robots directives, sitemaps, canonicals, indexation evidence, rendering, internal links, page templates, structured data, accessibility, performance evidence, security headers, and conversion paths. Search Console and analytics data are used only when their implementation and access are validated.
4. Test Content, Entity, Local, and Authority Evidence
Priority pages are reviewed for a clear purpose, direct answer, supporting explanation, sources, examples, decision criteria, limitations, authorship, dates, and a relevant next step. Organisation, person, service, address, profile, review, citation, and third-party mention signals are checked for consistency and real-world support. Valid markup is not treated as proof of a fact or a placement guarantee.
5. Prioritise by Outcome, Confidence, Effort, and Risk
Recommendations are scored for business, search, AI-visibility, and conversion impact; confidence; effort; technical risk; and dependencies. Critical indexation, tracking, security, or lead-loss defects are separated from content improvements, experiments, legal review, and third-party authority work.
6. Measure Without Overclaiming
Retests reuse the approved question set and document changed conditions. Answer mentions, citations, and accuracy are reported separately from Search Console visibility, identifiable AI-referral sessions, qualified leads, proposals, clients, and revenue. Referral traffic does not measure every AI appearance, and a changed answer does not by itself prove causation.
What Does the Client Receive?
- A dated baseline and documented question/query map.
- URL-level technical, search, content, entity, local, authority, analytics, and funnel findings.
- A claims-and-evidence register and a clear list of unknowns requiring confirmation.
- A scored backlog with owners, dependencies, risks, acceptance criteria, and measurements.
- A sequenced implementation plan and a controlled retest framework.
Frequently asked questions
Is an AI visibility benchmark a ranking report?
No. It is a dated sample of answers produced under documented conditions. Outputs can vary by platform, product mode, model, account, location, personalisation, retrieval, and time, so we report variability instead of inventing a permanent rank.
Does a change in an AI answer prove that an optimization caused it?
No. A before-and-after observation can show that the output changed, but it does not isolate one cause. We review answer snapshots alongside crawl, indexation, search, referral, authority, and qualified-pipeline evidence.
What information is excluded from analytics and reports?
Names, email addresses, phone numbers, free-text messages, customer records, private platform conversations, and other personal or confidential information are excluded from site analytics and public reporting.
Ready to see where your business shows up in AI search?
Book a free introductory AI visibility check to review your business, priority questions, and likely search gaps. It is a high-level starting point, not the full paid audit.