Client-ready
Package findings in a structure clients can understand.
AI visibility audit template for local SEO agencies
Use a client-ready audit structure to turn prompt runs, competitor mentions, cited sources, and visibility gaps into a clear GEO/AEO action plan.
Source-backed
Show which sources shape AI answers and trust.
Action-focused
Turn gaps into prioritized SEO and GEO work.
Agency-friendly
Use the audit for sales, retainers, and QBRs.
Audit structure
What the audit should include
A strong AI visibility audit explains more than prompt outputs. It connects visibility, sources, competitors, and action priorities.
Prompt set summary
Group the services, locations, comparison, pricing, and trust questions used to test AI visibility.
AI visibility score
Summarize where the client appears, where they are missing, and how visible they are across buyer prompts.
Competitor and entity mentions
Identify which competitors and related entities are repeatedly recommended or compared.
Cited source analysis
Review the profiles, directories, review sites, and owned pages influencing generated answers.
Source and content gaps
Find missing proof, thin service pages, weak citation coverage, and unclear entity signals.
Prioritized recommendations
Turn audit evidence into the work your team should fix, build, strengthen, or report next.
Client-ready audit
Turn raw prompt runs into a client-ready audit.
The audit should explain what was tested, what AI systems surfaced, which sources shaped the answer, and what your agency should do next.
Audit sectionWhat it explainsWhy it matters
Prompt visibilityWhich prompts mention the client, competitors, or neitherShows where the client appears or disappears
Cited sourcesWhich websites, profiles, directories, and reviews shape answersShows where trust signals are coming from
Competitor displacementWhich competitors are repeatedly recommendedShows who is winning the AI answer
Priority actionsWhat should be fixed, built, or strengthened nextTurns findings into SEO work
Audit workflow
A practical AI visibility audit workflow
Use the audit to move from prompt coverage and source review to a clear client-ready plan.
Define services, locations, and prompts
Build an audit set around the real questions local buyers ask AI systems.
Run AI visibility checks
Measure whether the client, competitors, or neither appear in generated answers.
Review client and competitor mentions
Separate strong recommendations, weak mentions, missing clients, and competitor displacement.
Analyze cited sources
Identify which owned pages, profiles, directories, and reviews shaped the answer.
Identify gaps and opportunities
Translate missing mentions and weak sources into specific SEO and GEO priorities.
Package findings into a client-ready report
Deliver a clear audit narrative with score, evidence, priorities, and next actions.
Use the audit to sell and deliver GEO services
Give prospects and existing clients a structured way to understand AI visibility, competitor displacement, source gaps, and the next body of agency work.
New prospect audits
Show prospects where competitors are already winning AI-generated recommendations.
Existing client QBRs
Add AI visibility, source influence, and priority fixes to strategic client reviews.
Monthly retainer upgrades
Convert the audit into ongoing prompt tracking, opportunity queues, and reporting.
Competitive market analysis
Map which businesses, sources, and trust signals dominate local AI answers.
FAQ
AI visibility audit questions agencies ask first
What is an AI visibility audit?
An AI visibility audit reviews how AI systems answer buyer-intent prompts, whether the client appears, which competitors are recommended, which sources are cited, and what actions should happen next.
What should be included in an AI visibility audit?
A useful audit should include the prompt set, visibility score, client and competitor mentions, cited source analysis, source gaps, content gaps, and prioritized recommendations.
How is this different from an SEO audit?
An SEO audit focuses on rankings, crawlability, pages, links, and technical visibility. An AI visibility audit focuses on generated answers, cited sources, competitor recommendations, entity clarity, and source-backed actions.
How many prompts should an audit include?
A focused local audit can start with 25 to 75 prompts across services, locations, pricing, comparison, urgent need, and trust questions.
Can agencies white-label the audit?
Yes. The audit structure is designed to become a client-ready, agency-branded deliverable rather than a raw export of AI responses.
What happens after the audit?
The audit should become a plan: prompt tracking, source cleanup, content creation, review and citation work, opportunity queue items, and client reporting.
Turn AI visibility findings into a client-ready audit.
Use GEO Catalyst to package prompt visibility, cited sources, competitor displacement, and priority actions into an audit your agency can sell and deliver.