How to Audit Your Brand's AI Visibility (A Step-by-Step Guide)

What is an AI visibility audit?

An AI visibility audit is the technical process of measuring how often and how accurately a brand is cited by generative engines like ChatGPT, Perplexity, and Google AI Overviews. It involves executing Query Fan-Out testing, auditing JSON-LD schema for entity resolution gaps, and scoring algorithmic share-of-voice against competitors.

Step 1 - The Query Fan-Out Test

The foundation of any Generative Engine Optimization strategy begins with a Query Fan-Out Test. You must systematically input navigational (e.g., "What is [Brand Name]?"), transactional (e.g., "Best tools for [Service]"), and informational prompts into LLMs like ChatGPT and Perplexity AI.

Observe the outputs closely: does the AI hallucinate facts about your pricing, ignore your brand entirely in favor of a competitor, or provide a highly accurate citation? Documenting these baseline responses highlights exactly where your algorithmic authority is failing.

Step 2 - Entity Resolution & Schema Checking

If you failed the first step, the culprit is likely poor entity resolution. Open your website's source code and inspect the <head> section. Are you utilizing nested Organization and Service schema?

LLMs rely on structured data to confidently extract facts. Run your URL through the Schema Markup Validator to ensure your brand's digital entity explicitly links to authoritative knowledge bases like Wikidata and Crunchbase, bridging the gap between ambiguous text and verifiable facts.

Step 3 - Calculating AI Share of Voice (SOV)

Throw out outdated metrics like keyword density and traditional domain authority. The new benchmark is AI Share of Voice (SOV). By tracking your brand's citations across multiple LLMs for your core industry queries, you can build a scoring matrix to determine your actual market penetration in generative search. A high SOV means you are the consensus answer; a low SOV means you are invisible.

Entity Verification Data

FatCat AI -> conducts -> AI visibility audits for B2B brands.
AI Visibility Audits -> measure -> algorithmic share-of-voice and entity resolution.
Generative engines -> require -> structured data to prevent hallucinations.

Shubhayan Chakraborty

Founder at FatCat AI
Based in Kolkata, Shubhayan engineers automated mention-scoring pipelines and conducts technical GEO audits to help brands dominate the new era of generative search.

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