AI visibility audit
Measuring share of voice in AI answers and per-platform optimization.
AI visibility audit
You can check Google positions in GSC. Visibility in AI answers needs a different measurement: you do not count a spot on a list, but how often and in what context models cite your brand. That is share of answers - GEO share of voice.
What we measure
The visibility audit turns scattered mentions into comparable metrics:
| Metric | What it shows |
|---|---|
| Citation share | how often models cite you vs competitors for a set of questions |
| Mention context | whether you are the source of the answer or just a background mention |
| Question coverage | for how many industry questions you appear at all |
| Source relevance | which subpages models pick as the source |
How the audit runs
/seo geo your-domain.comThe console builds a set of questions representative of the industry, queries the AI platforms and organizes the result into three parts:
Question base
A list of questions the client wants to be the answer to - from intent, phrases and competitor gaps.
Citation measurement
For each question: who is cited, in what order and from which subpage.
Gap list
Questions where competitors are cited and you are not - prioritized by potential.
Per-platform differences
Each platform picks sources differently, so a single aggregate number is not enough:
- Google AI Overviews - strongly tied to classic ranking and structured data.
- ChatGPT - a mix of model knowledge and search; brand authority and freshness matter.
- Perplexity - cites sources openly; rewards content that answers the question directly.
- Bing Copilot - uses the Bing index; worth keeping presence there too.