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Bharat Language Gap

Compares AI visibility for your business between English and Hindi/Hinglish queries, using answers Vimarsh has already recorded.

What it does

No new AI calls -- reuses existing recorded answers. Hindi/Hinglish query variants are generated automatically for Indian business locations the next time your Prompts library is regenerated; this is not retroactive, so existing businesses need to regenerate prompts once to get coverage.

Shows side-by-side mention/recommendation rates for English vs. Hindi/Hinglish, plus a per-cluster breakdown (sample query, intent, run count, rates, status). A rate is shown as 'not enough data' rather than a precise percentage below a stated minimum sample size. Some gap rows include a draft FAQ suggestion to help close the gap.

How to use it

  1. 1Confirm your business has an Indian location (Hindi/Hinglish queries only generate for those).
  2. 2Regenerate your Prompts library if no Hindi/Hinglish clusters exist yet.
  3. 3Wait for the next weekly measurement to record answers for those queries.
  4. 4Review the English-vs-Hindi/Hinglish comparison and per-query gap table.
  5. 5Expand 'View draft FAQ' on a gap row for a suggested fix, where available.

Known limits

  • Where the draft-FAQ text is actually generated from (a deterministic template vs. an AI call) wasn't independently confirmed.