GEO / AI Discoverability Audit
Generative engines are becoming the first place buyers ask about your market. This audit measures how visible and accurately represented you are inside AI answers — and what it takes to be cited rather than omitted.
Who it is for
CMOs, communications and digital leaders whose buyers increasingly start in AI assistants — and who need to know whether their organization is being found, fairly represented, or quietly written out of the answer.
The problem — and why now
Discovery is shifting from search results you can audit to AI answers you cannot see. If an engine omits you, misstates your position or cites a competitor, you lose the buyer before any click — and most organizations have no measurement of this exposure yet.
Scope
Answer-engine presence
Whether AI assistants (ChatGPT, Gemini, Copilot, Perplexity) surface, cite or ignore your organization on the questions that matter to buyers.
Accuracy and representation
What AI engines actually say about you — outdated facts, wrong positioning, competitor framing or hallucinated claims.
Source and citation map
Which pages, third-party sources and structured data the engines draw on, and where your authoritative content is missing.
Competitive share of answer
How often rivals are cited instead of you, and on which high-intent prompts you are losing ground.
Structure and signals review
Whether your content, metadata and entity signals are machine-readable enough to be retrieved and trusted.
How we work
- 01Prompt set design: we agree the buyer questions and categories where being found matters most.
- 02Multi-engine testing: we probe the major AI answer engines and record presence, citations and accuracy.
- 03Gap analysis: we trace why you are cited or omitted, and what the engines rely on instead.
- 04Findings readout: we present the visibility picture, the risks and a prioritized fix list.
What you receive
- —A discoverability scorecard across the major AI answer engines.
- —An accuracy log of what AI says about you — and where it is wrong.
- —A source and citation gap map with the content the engines need.
- —A prioritized action list to improve presence, accuracy and share of answer.
The audit is a focused front door: findings often feed directly into the scaling audit or a broader content and governance program.
See AI Scaling Audit →Request a Discoverability Audit
Tell us about your organization and the buyer questions where being found matters. We will return with the audit scope, engines covered and a timeline.