Service
AI Search Visibility Audits
An AI search visibility audit examines a website the way discovery systems do: as a collection of statements about who a company is, what it offers, and why its information can be trusted. The audit identifies where that picture is clear, where it is incomplete, and where inconsistencies may weaken how the business is understood.
What the audit reviews
Entity clarity
How consistently the company name, description, services, and location are stated across pages, metadata, and structured data.
Content structure
Whether pages are organized with clear headings, direct answers, and self-contained sections that can be read and referenced accurately.
Credibility signals
How the website supports its claims: authorship, sourcing, service descriptions, contact information, and legal pages.
Machine readability
Schema markup, metadata quality, canonical structure, and other technical elements that shape how systems interpret the site.
Coverage gaps
Questions prospective clients ask that the website does not yet answer, and topics where a clear page is missing.
Traditional search alignment
How the same information performs for conventional search: titles, descriptions, internal linking, and page intent.
How it is delivered
- The audit is delivered as a written report with findings organized by priority.
- Each finding includes a plain-language explanation and a recommended next step.
- The report can be scoped to a full website or to a defined set of key pages.
What an audit does not do
- An audit describes the current state and recommends improvements; it does not guarantee rankings, citations, or appearances in any search or AI system.
- Findings are based on publicly available information and materials provided by the client.
Related: B2B SEO Consulting · GEO & AI Visibility · All services
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