All promptsAI visibility
Find an ecommerce competitor citation gap without guessing the cause
Compare AI answers, named products and cited sources, then separate observations from hypotheses.
- Works in
- ChatGPT, Claude, Gemini
- You need
- Answers to the same buyer questions · Citation URLs · Your brand and competitors
- Written for
- ecommerce competitor analysis prompt
This prompt is deliberately strict about causation. The useful output is a map of what appeared and where the supporting information lived. The hypotheses come afterwards, with a test attached.
Analyse these answers as a recorded dataset. Do not explain why a brand
appeared unless the evidence demonstrates it.
Produce: (1) appearances by brand and question; (2) cited domains and pages;
(3) claims repeatedly attached to each product; (4) gaps visible in the
supplied evidence; (5) three hypotheses to investigate.
Label every sentence OBSERVED, SUPPORTED MECHANISM, or HYPOTHESIS. A
hypothesis must name the evidence needed to test it. Do not call mention
share market share. Do not infer sales, traffic or ranking.
Our brand: [BRAND]
Competitors: [COMPETITORS]
Answers with prompt, model, date and citations: [ANSWERS]What to change
Everything in square brackets is yours to replace. Nothing else needs editing.
[BRAND]- The exact name and common variants.
[COMPETITORS]- Known competitors, or none.
[ANSWERS]- Unedited answers with their citations and test conditions.
How to run it
- 01Collect like-for-like answers
Use the same prompts and record model, market and date.
- 02Verify cited pages
Open every citation and confirm it supports the attached claim.
- 03Choose one test
Take the strongest reproducible gap, change it and repeat the baseline.
Questions people ask
Can citations reveal why a competitor was recommended?
They reveal sources associated with the answer. They can suggest a cause, but usually cannot prove the selection mechanism.
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