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AI DISCOVERY8 min

Share of Recommendation: The Metric We Report Monthly

Share of Voice is dead, assistants don't rank, they name. Share of Recommendation is the discipline of measuring how often you're the answer.

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  1. 01.Definition
  2. 02.Panel design
  3. 03.Sampling frequency
  4. 04.Reporting format
  5. 05.Defending the number
01

Definition

Share of Recommendation = the percentage of prompts in a fixed panel across a named set of assistants in which your app is recommended by name in the first-response answer.

02

Panel design

Use a fixed prompt panel covering capability, competitive, price, compliance, geography and persona intents. Consistency matters because month-to-month comparability is the point.

03

Sampling frequency

Monthly, on the same date, from the same neutral geography. Log raw responses to a spreadsheet. Preserve screenshots for defensibility.

04

Reporting format

Share number, delta versus previous month, top three prompts you won, top three you lost, top three competitors named more than you, and a qualitative note on assistant behaviour changes (model updates, refusal patterns).

05

Defending the number

Boards accept the metric when methodology is transparent. Publish the panel prompts. Publish the assistants sampled. Publish the raw outputs on request. No black box means no push-back.

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