BETA
Proof, not promises

Measured results, from real AI answers

Every number below comes from dated scans of ChatGPT and Claude answering real buyer questions. No estimates, no vanity metrics: either the AI cites the brand, or it doesn't.

Client case study

French B2B startup accelerator: from 2 to 7 AI citations in under 3 weeks

50 tracked buyer questions · measured on ChatGPT and Claude · June–July 2026
2 → 7
questions cited
100%
of citations in position 1
67%
share of voice vs a global competitor
  • Baseline scan: cited on 2 of 50 questions asked by its real prospects
  • Campaign: editorial articles answering the exact questions it was losing
  • Three weeks later: 7 questions cited, every one in first position
  • Every step measured by the same repeatable scan
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Live experiment · updates publicly

We run Ralator on Ralator. Watch the curve move.

Baseline: July 23, 2026 · US market · 8 buyer questions
0 / 8
questions cited at baseline
21
articles published day one
2
AI engines tracked
  • When Americans ask AI for "AI search optimization platforms", we are invisible today
  • So we did for ourselves exactly what we do for clients
  • The dashboard below is our real account, public, warts and all
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Methodology

A scan asks ChatGPT and Claude a fixed set of real buyer questions for a market, records whether the brand is cited and at which position, and computes a visibility score. The same questions are re-asked at every scan, so movements are comparable over time.

Real questionsDerived from actual buyer intent in the brand's market, not keywords.
Dated and repeatableEvery scan is timestamped; before/after uses the identical question set.
Client-approvedCase studies are published anonymized, or named only with written client consent.