How do you audit what AI says about your company?
An AI audit polls each major engine with a defined prompt set about the brand, executives, and topics; categorizes themes and sources; benchmarks against peers; and flags accuracy gaps and risk areas.
An AI audit is the diagnostic delivered as a one-time analytical product, distinct from continuous monitoring. It answers a specific question – what is AI saying about us right now, and what should we do about it – in a form a CCO can act on. The structure is consistent across audits, running through four stages.
The four stages of an AI audit
- Prompt set – a defined set of prompts covering the brand, named executives, key products or services, relevant themes and issues, and named peer companies.
- Execution – the prompt set is run against the eight major engines: ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode.
- Analytical layer – the responses are worked through across themes, sentiment, source attribution, peer comparison, accuracy gaps, and identified risk areas.
- Deliverable – a report that includes both the raw findings and a prioritized list of interventions.
How it gets used
We deliver audits routinely as standalone engagements, as the starting point for ongoing programs, and as new-business material for PR firms bringing AIQ into prospect conversations. A CCO reading the deliverable should come away knowing not just where the brand stands across the engines, but which interventions will move the picture and on what order of priority.
Last reviewed: 19/05/2026
