Methodology

How Winesrch measures AI visibility for wineries

Winesrch tracks how often Napa and Sonoma wineries appear in AI-generated recommendations across a fixed panel of real wine-country discovery prompts.

50
Tracked discovery prompts
3
AI models
5
Runs per prompt
750
Model responses per completed daily run
Napa + Sonoma
Regions covered

1. What Winesrch tracks

Winesrch measures winery visibility across AI-generated answers from ChatGPT, Claude, and Gemini. The system tracks whether a winery appears, how often it appears, which prompt themes surface it, and how prominently it is positioned in recommendation-style responses.

2. Core 50 tracking panel

Winesrch uses a fixed Core 50 prompt panel for Napa and Sonoma winery discovery. Each completed run collects responses across the same prompt set so results can be compared consistently over time.

3. Prompt coverage

Not every prompt applies to every winery. Winesrch evaluates wineries against the prompts relevant to their region and discovery context. Napa wineries are measured against applicable Napa and cross-region prompts. Sonoma wineries are measured against applicable Sonoma and cross-region prompts.

4. Mention detection and entity resolution

Winesrch parses model responses for winery mentions, normalizes name variants, and resolves aliases to canonical winery records. Examples include punctuation, abbreviations, possessives, and winery suffix variants. Unmatched names are reviewed through an internal admin workflow before they are added to public scoring.

5. AI Visibility Index

The AI Visibility Index is a relative visibility score, not a wine-quality rating. It blends visibility strength with prompt coverage, model coverage, and position quality.

  • Mention frequency: how often a winery appears in tracked AI answers.
  • Prompt coverage: how many applicable prompts surface the winery.
  • Model coverage: whether the winery appears across ChatGPT, Claude, and Gemini.
  • Position quality: how prominently the winery appears when mentioned.

6. Appearance rate

Appearance rate reflects how often a winery appears across its applicable tracked prompts. It helps show whether a winery is consistently present in AI recommendations or only appears occasionally.

7. Google AI Overviews

The Core 50 AI Visibility Index above is based on repeated ChatGPT, Claude, and Gemini responses. Winesrch also tracks Google AI Overviews separately, because Google's AI search layer behaves differently from conversational models: it may or may not trigger for a given search, and when it does, it includes citations and source links alongside any winery mentions.

ChatGPT / Claude / Gemini
  • Conversational AI discovery surfaces.
  • Included in the AI Visibility Index.
  • Repeated runs per prompt, daily.
Google AI Overviews
  • Google Search AI surface, tracked on a separate weekly cadence.
  • Tracked separately — not included in the AI Visibility Index.
  • May or may not trigger per search; includes citations/sources.

Private dashboards surface Google AI Overview mentions, cited source context, and source gaps where available. A winery that does not appear in a given sweep has not necessarily lost visibility — AI Overviews do not trigger for every tracked search.

8. Custom Tracking

Wineries with an active private dashboard can add their own prompts through Custom Tracking — questions specific to their visitor segments, location, competitors, tasting experiences, events, and wine styles.

Custom Tracking is private. Those prompts are visible only to the winery, they are tracked separately from the Core 50 panel, and they never affect the AI Visibility Index, public winery profiles, or public leaderboard position.

9. Ranking movement

Seven-day movement compares the latest rolling window with the previous period. Movers are filtered by a minimum recent mention threshold so public movement lists do not overstate low-volume noise.

10. Update frequency

Winesrch runs the Core 50 text-model tracking process daily. Google AI Overview tracking runs separately on a weekly cadence. Public pages update after completed runs and approved entity-resolution changes are materialized.

11. Limitations

AI-generated recommendations vary by model, prompt wording, response structure, and time. Winesrch does not claim to measure wine quality, tasting-room quality, or consumer preference directly. Scores reflect observed visibility in tracked AI responses under the Core 50 methodology.

Winesrch cannot control or guarantee how AI systems describe or recommend any winery. Public scores and leaderboard rankings cannot be purchased or influenced by payment. Claiming a winery unlocks private analysis — it never changes public scores, rankings, or leaderboard position.

12. Corrections and questions

For methodology questions, corrections, or winery profile issues, contact Winesrch.

NEXT STEP

Understand your winery’s AI visibility.

Claim your profile to monitor where your winery appears across tracked AI discovery prompts.