Methodology · Reviewed Oct 12, 2026

How Uprity measures AI visibility

The score is a directional sample of how configured AI assistants answered a controlled set of local-discovery prompts. It is not a search-engine ranking, market-share measurement, or guarantee that another user will receive the same answer.

Prompt sample

The free preview asks two discovery questions using one provider. A paid scan asks the same two or three category-and-location discovery questions across every eligible provider configured for the account.

Provider coverage

Paid scans can compare ChatGPT, Gemini and Perplexity when each is enabled, configured and available for web search. The dashboard reports the providers actually sampled and their answer coverage. Requested web search does not guarantee that every answer cites a page.

Score calculation

The 0–100 score is the percentage of successful discovery answers in which normalized name matching detects the business. Failed answers, answer position, sentiment and citations do not add points. Provider-level scores use the same calculation.

Comparability over time

The trend includes scans with the same prompts, providers, model versions and successful-answer coverage. Model updates, web results and answer randomness can still change the sample.

Important limitations

  • Mention detection uses normalized name matching and can miss aliases or confuse similarly named businesses.
  • Position is an estimate from list structure or answer location; it is not supplied by the provider.
  • Available citation links show pages referenced by the provider, not proof that the pages are accurate or mention the business.
  • Generated answers can be incomplete, outdated or wrong. Verify material decisions independently.

Use the score as a trend, not a promise

Review the underlying prompts, snippets, citations, and configuration alongside the headline number.