Before generating an answer, Perplexity retrieves and evaluates sources in real time. Can your site win a spot in its source pool? Here is how.
We monitor geo.oneaicv.com across 9 AI engines daily with GEOScope. 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.
Perplexity retrieves multiple sources in real time and ranks them, favoring authoritative, fresh, well-structured pages. Structured data and llms.txt significantly improve selection odds.
Yes. Perplexity is English-source-heavy; Chinese-only sites are nearly invisible to English queries. Cross-border sites must add English pages and English llms.txt.
Perplexity leans more on real-time retrieval and publisher indexing, and is more sensitive to English and structured data; ChatGPT leans on training data and browsing. Cover both.
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