AI Visibility Audit — sample

This is exactly what you'd receive: the sections, the tables, the level of detail. Business names like "Clinic A" and "Competitor B" are placeholders — a real audit contains only answers captured from live engine queries on a stated date, quoted verbatim.

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Executive summary

Plain-English answer to one question: when your patients ask an AI engine for a clinic like yours, does it name you?

Illustrative shape only: "Clinic A was named on [N] of 20 queries on [engine], [N] of 20 on [engine], and not named on the remaining engines. Competitor B appeared on [N] of 20."

Method

• The 20 queries, and why each one was chosen (service intent, location intent, comparison intent, problem intent)
• Engines tested and the exact date each query was run
• Session controls: temporary/logged-out sessions so answers aren't personalized by account history
• The limitation we state up front: AI answers vary by user, device and day. Every claim in the audit is tied to one query, one engine, one date, with the answer quoted.

Query-by-query results

One row per query per engine. The values below are placeholders, not findings.

Queries are grouped: service intent ("best [treatment] near me"), location intent ("[service] in [suburb]"), comparison intent ("[Clinic A] vs [Competitor B]"), problem intent ("how do I fix [concern]"), trust intent ("safest place for [treatment] in [city]").

Competitor citation map

• Which businesses the engines name most often across the 20 queries, counted per engine
• What those businesses have that the client doesn't — observable signals only: review volume and recency, third-party editorial mentions, FAQ/answer content, structured data, listing completeness, provider bios and credentials
• Where the competitor's citation comes from when the engine reveals its source
• Blunt read: which competitors are beatable in 90 days and which are entrenched

Entity & listing consistency check

• Name / address / phone consistency across the major directories and health platforms, with each mismatch listed
• Google Business Profile completeness: categories, services, attributes, Q&A, hours, photos
• Review platform footprint: volume, recency, response rate
• Provider entity: are the practitioners themselves identifiable to an engine (bios, credentials, consistent naming)?
• Site technical basics: schema/JSON-LD present and valid, llms.txt, crawlability for AI crawlers, page speed on mobile

The 90-day roadmap

Each item is tagged client-side (needs their team) or Cited-side, so the time cost is visible before you commit.

What we don't promise

No ranking guarantees, no patient-volume or revenue projections, no claims about clinical outcomes. Engines change and personalize; the honest deliverable is the work, the measurement and the day-90 guarantee (cited on at least 3 of 10 priority queries by day 90, or month 4 is free — applies to Cited Core and Cited Pro plans).

Appendix

Full screenshots of every answer, with engine, query and timestamp visible; the query list in plain text; the listing-consistency raw table.