Consumer PR

The AI Visibility Audit: How to Measure Your Brand's Presence Inside AI Engines

Editorial TeamBy Editorial Team2 min read
ai presence audit measuring your brand's visibility in artificial intelligence systems
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Direct Answer The AI Visibility Audit is a repeatable method for measuring a consumer brand's presence inside AI engines. It runs in four steps: build a prompt set, test across all major engines, record three data points per prompt, and date the results as a baseline. It is the first action of any GEO program and the standard method for measuring Share of Model.

The AI Visibility Audit — four steps

Step

Action

Output

1

Build a 15–25 prompt set from real shopper questions

The Prompt Map

2

Run every prompt through ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews

Raw answers

3

Record: brand appears? how described? sources cited?

Three-point dataset

4

Date and save the results

Quarterly baseline

Step 1 — Build the prompt set. Write the questions a real shopper asks, not keywords. Aim for 15–25 across the category. This set becomes the brand's Prompt Map.

Step 2 — Test every engine. Run each prompt through ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Coverage varies by engine; test all.

Step 3 — Record three data points. For each prompt: does the brand appear, how is it described, which sources did the engine cite. The cited sources are the brand's GEO target list.

Step 4 — Date the baseline. The audit's value is longitudinal. Re-run quarterly; the movement is the truest measure of GEO progress.

The three diagnostic outcomes The audit surfaces one of three states: the brand is absent (competitors own the answer), present but mis-described (an entity-data problem — see The Citation Stack), or present and accurate (the job becomes defense).

Prompt examples

  • "best [category] for [need]"

  • "what [product] should I buy"

  • "is [brand] any good"

  • "[brand] vs [competitor]"

  • "most trusted [category] brands"

FAQ

What is the AI Visibility Audit?
The AI Visibility Audit is a four-step method used to measure a brand’s presence across major AI engines and establish a baseline for visibility performance.

How often should the audit run?
Quarterly. Movement between audit periods helps measure progress and track the impact of a GEO program over time.

What does the audit produce?
The audit typically produces:

  • A baseline Share of Model (SOM) figure

  • A Prompt Map

  • A GEO target list of cited sources

Related: Share of Model · From Keywords to Prompts · GEO for Consumer Brands

Editorial Team
Written by
Editorial Team

The Everything-PR Editorial Team produces reporting, research, and analysis across thirty verticals — communications, reputation, AI visibility, public affairs, media systems, and digital discovery in the answer-engine era. Publishing since 2009.

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