AgencyScope

AI visibility audit workflow

How to run an AI visibility audit for a client brand.

A step-by-step workflow for agencies that need to audit how a client appears in AI answers and explain the results in a client-ready report.

AgencyScope KPI scorecard from a sample AI visibility report
ChatGPT, Perplexity, and Gemini checks
White-label PDF reports
Prompt evidence for client meetings
Built for SEO and GEO agencies

The workflow matters as much as the prompts.

A useful AI visibility audit needs repeatable setup, consistent prompt categories, answer evidence, and a clear handoff from raw checks to client findings.

Collect brand, competitor, audience, category, and region context.
Split prompts into brand-named, category, comparison, and buyer-intent checks.
Run each prompt across ChatGPT, Perplexity, and Gemini.
Summarize visibility, competitor pressure, and missing-answer patterns.

What it tracks

AgencyScope keeps the report focused on the evidence clients need to understand AI answer visibility without treating every mention as a ranking win.

Audit setup and prompt planning
Cross-platform answer checks
Evidence capture and QA
White-label report delivery

How AgencyScope works

A repeatable workflow for agency teams: configure the client brand, run the checks, then download the client-ready PDF.

01

Set up the client brand

Add brand name, industry, region, competitors, and prompts. Use starter prompts or import your own.

02

Run recurring AI visibility checks

Test prompts across ChatGPT, Perplexity, and Gemini. Run manually or schedule weekly or monthly checks.

03

Send the white-label PDF

Download a polished report with your agency logo, color, footer, notes, and answer-level evidence.

Sample report proof

The sample report shows the client-facing sections AgencyScope is built to generate: scorecards, platform evidence, and auditable answer excerpts.

KPI scorecard from AgencyScope sample report

KPI scorecard

Client-safe metrics separate assisted recognition, unassisted discovery, valid answer coverage, and competitor pressure.

Evidence board from AgencyScope sample report

Evidence board

Representative AI answer excerpts keep every finding traceable for client meetings and account reviews.

White-label cover from AgencyScope sample report

White-label cover

The finished PDF uses agency branding, reporting context, and a client-ready opening page.

New client onboarding

Run the audit before the first strategy session.

Quarterly review

Use the workflow to refresh AI answer visibility for existing clients.

GEO service packaging

Turn the audit workflow into a repeatable agency offer.

Related agency reporting pages

Questions agencies ask

What is an AI visibility audit?

An AI visibility audit checks whether a brand appears in answers from ChatGPT, Perplexity, and Gemini, then records the prompts, competitors, evidence, and reporting notes an agency can explain to a client.

How is an AI visibility audit different from an SEO audit?

An SEO audit reviews search pages, technical issues, and ranking signals. An AI visibility audit reviews answer-engine exposure: whether the brand is mentioned, recommended, omitted, or displaced by competitors in AI-generated responses.

Which prompts should an agency include?

Start with brand-named prompts, category discovery prompts, comparison prompts, and buyer-intent prompts. Keep each prompt tied to the platform, competitors mentioned, and representative answer excerpts.

Can an AI visibility audit become a recurring report?

Yes. The first audit establishes a baseline. Agencies can then run the same prompt set monthly and deliver a white-label PDF that shows changes in brand visibility, competitor pressure, and platform differences.

Does AgencyScope write optimization recommendations?

AgencyScope V1 focuses on repeatable checks and client-ready reporting. It captures answer evidence and report structure so the agency can own strategy, recommendations, and client communication.

See the PDF first. Then decide if it belongs in your monthly client workflow.