Summarize product reviews to support a purchase decision

domain: agentic-commerce · 6 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗

Steps

  1. Fetch reviews for a target product from the merchant's review API (if available) or from the product page HTML; collect a representative sample across rating levels, not just the top-displayed reviews.
  2. Deduplicate reviews by normalized text to remove duplicates that can arise when syndicated reviews appear across merchants.
  3. Cluster reviews by topic (e.g., build quality, battery life, customer service, shipping) using keyword extraction or a short classification prompt; compute sentiment distribution per topic.
  4. Produce a structured summary: overall sentiment, key positive themes with example quotes, key negative themes with example quotes, and notable one-off issues.
  5. Flag aspects that are dealbreakers for the user's stated use case: e.g., if the user needs the product for outdoor use, surface any reviews mentioning weatherproofing failures.
  6. Include metadata: number of reviews analyzed, date range, average rating, and whether the review corpus is verified purchases only.

Known gotchas

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