GEO Audit
A GEO audit is a structured assessment of a brand's current citation share across AI engines, identifying gaps in entity strength, content structure, third-party signals, schema, and freshness — and prioritizing remediation.
What it is
A GEO audit measures and diagnoses. Measurement: run a representative prompt set (50–200 prompts in the brand's category) through each major AI engine (ChatGPT, Claude, Perplexity, Google AI Overviews) and quantify citation share per engine and aggregate. Diagnosis: identify which of the five GEO mechanisms (entity strength, answer-ready content, third-party signals, schema clarity, freshness) are weakest and would yield the highest-leverage improvements. The output is a prioritized remediation plan with measurable targets and a baseline against which to track progress.
Why it matters for GEO
You cannot improve what you do not measure. A GEO audit is the first deliverable in every CiterLabs sprint.
The CiterLabs perspective
Days 1–7 of every CiterLabs sprint is a full GEO audit. Lifetime access to the citation tracker is included.
- Generative Engine Optimization (GEO) — Generative Engine Optimization (GEO) is the practice of structuring a brand's content, entity footprint, and third-party signals so that AI engines like ChatGPT, Perplexity, Claude, and Google AI Overviews cite that brand inside their generated answers.
- Citation Share — Citation share is the percentage of relevant prompts in which an AI engine cites a specific brand or domain inside its generated answer.
Want to be cited for terms like GEO Audit?
CiterLabs runs 60-day GEO Sprints with a +20pt citation-share lift guarantee or 100% refund. Apply in two minutes — async by default, no call required.