Pillar 2 · Measure
AI visibility is measured by prompt, not by keyword
Connected models queried with the real questions of your market, with answers, mentions and citations kept verifiable.
Rankings are gone, answers are not
In generative answers there is no tenth position: there's one answer with two or three cited sources. Counting keywords says nothing; what matters is whether you're in that answer.
BeKnow generates prompts from your brand and your real offering, runs them across engines and records who gets cited, from which domain and how often. Then it compares that picture with Google to surface pages that rank but never get cited.
Connected AI models
The models available through your configured provider, recorded by model and date.
Prompts born from your brand
Questions built on products and positioning, not generic industry chips.
Verified citations and mentions
Observed data only: if an engine doesn't cite you, we don't invent a number.
Authority Score and components
A number that explains itself: where it comes from, what lifts it, what blocks it.
Competitive landscape
Who owns the answers in your market and on which questions they dominate.
Google ↔ AI bridge
Pages winning on Google yet invisible to AI: the most useful list you'll get.
If an engine doesn't cite you, the measurement says so. No convenient numbers.
Frequently asked questions
How often does it refresh?
You choose the scan frequency: the usage wallet only charges for the scans you actually run.
Does it directly measure Google AI Overviews?
Not currently as a direct Google AI Overviews feed. BeKnow measures responses from configured AI models and keeps Search Console evidence separate.