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 same diagnostic delivered once, as an analytical product, rather than run continuously. 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. Every audit runs through the same four stages.
The four stages of an AI audit
- Prompt set – a defined set of prompts covering the brand, named executives, 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 risk areas.
- Deliverable – a report with both the raw findings and a prioritized list of interventions.
How it gets used
We deliver audits 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 where the brand stands across the engines, which interventions will move the picture, and in what order of priority.
Last reviewed: 19/05/2026
