An AI visibility audit should produce decisions, not just screenshots of a brand appearing in an answer. Use this checklist to separate what you can verify from what still needs investigation.

Copyable checklist

Buyer and scope

  • ☐ Choose the buyer, market and buying stage.
  • ☐ Record the actual offer and service boundaries.
  • ☐ Select a fixed prompt panel and distinguish branded questions.
  • ☐ Choose engines, modes, repeat count and observation dates.

Technical access

  • ☐ Inspect relevant robots.txt directives.
  • ☐ Check HTTP responses, redirects and canonical information.
  • ☐ Review important content in returned page text.
  • ☐ Investigate WAF challenges and rate limits.
  • ☐ Validate actual crawler identity before changing security rules.

Entity and evidence

  • ☐ Confirm business name, services and geographic claims.
  • ☐ Verify named experts and credentials where relevant.
  • ☐ Check genuine profile links and sameAs destinations.
  • ☐ Label illustrative examples and verify case-study permissions.
  • ☐ Ensure structured data matches visible information.

Answer observations

  • ☐ Save exact prompts and outputs.
  • ☐ Log mentions, recommendations and citations separately.
  • ☐ Open cited URLs and check supporting claims.
  • ☐ Record errors and no-answer observations.
  • ☐ Classify recurring competitor citation gaps.

Commercial measurement

  • ☐ Inspect identifiable AI referral sources in GA4.
  • ☐ Validate lead and booking events.
  • ☐ Define a qualified inquiry with sales.
  • ☐ Connect opportunities to CRM records where possible.
  • ☐ Assign owners and priorities for fixes.

Turn findings into actions

A blocked service page gets a technical owner. A wrong service description gets an authoritative-content correction. Missing buyer evidence gets a content task. An untraceable conversion gets an analytics task.

Give each action an affected URL, observed evidence, desired behavior and completion check. Do not use a single readiness score to hide different problems.

Frequently Asked Questions

Can a public-page scan complete this audit?

It can support initial checks. It cannot replace authenticated analytics, logs, CRM validation or repeated answer observations.

Is a high citation count enough?

No. Relevance, accuracy and the quality of resulting inquiries matter.

Next step

Prefer a head start? Begin with the public readiness check, or ask us for a scoped assessment.

Start with Buzzlect’s public readiness check →

Request a scoped assessment →

About this guide

This guide is a practical framework. It does not report survey data, platform rules or measured client results, and any example in it is illustrative.

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