GEOScope doesn't just talk methodology — we ran the detect-fix-monitor loop on our own product line. Three real cases with verifiable data.
We monitor geo.oneaicv.com across 9 AI engines daily. The data is honest — including the unflattering '0% cited' number, which is exactly the problem GEO solves.
The usual problem is not "ranking low" — it is that when a traveller asks AI for "boutique hotels for couples in this city", the property is simply absent from the answer. A beautiful website does not change that. ARI separates the two cases with M1 Demand Coverage and M2 Recommendation Presence: is AI not shortlisting you, or shortlisting you but not naming you?
Illustrative scenario (Model Estimate · Beta) showing how the metrics read — not a specific client dataset.
Decent presence with a consistently weak position is the second way to leak demand: M3 Top Position Strength and M4 AI Share of Voice stay low while one or two rivals in the AI CompSet show a high "pressure" rate — they are placed ahead of you almost every time. The fix is usually not a website redesign, but the specific sources AI actually cites for those intents.
Illustrative scenario (Model Estimate · Beta) showing how the metrics read — not a specific client dataset.