AI recommendation visibility & SOV
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This is the thing buyers actually care about: does ChatGPT, Perplexity, Gemini or Google AI name and recommend you — and how often relative to competitors (your share of voice)?
Why this matters
This is an L2 signal. It can only be known by actually prompting the engines with the questions your customers ask and recording who gets named. A single page scan can’t see it — that’s why it shows “pending L2” until a cross-engine audit runs.
How to improve it
Because this is audit-driven, the work here is preparation — you improve the inputs that feed visibility, then measure. A low mention rate is a discoverability gap, not a verdict.
- Everything in entity & identity, corroboration, reviews and freshness feeds visibility — a resolvable entity, independent corroboration, and fresh reputable content.
- Publish genuinely useful, answer-first content for the exact questions you want to be recommended for.
How to check it worked
A live cross-engine audit prompts the engines with real customer questions and records who gets named and how often. That’s the only way to measure this honestly.
An honest caveat
No one can guarantee an AI engine will recommend you. We measure and improve the inputs, and we report what the engines actually say — we don’t promise an outcome.
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