Listing Reviews and Complaint Pattern Audit
Turn the reviews on your listings into a ranked list of recurring complaints, praise to use, and listing edits that reduce returns.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Analyse the reviews and messages connected to my listings. Business and listing type: [BUSINESS_AND_LISTING_TYPE]. I will paste [NUMBER_OF_REVIEWS] reviews or customer messages with their star ratings and dates: [REVIEWS_TEXT]. The current listing description says: [CURRENT_LISTING_TEXT]. Please produce: 1) A theme table with the columns Theme, Number of mentions, Share of all reviews (show the arithmetic), Typical wording (quote under 15 words), Sentiment, and Related listing statement. 2) The top five complaints, each with a likely cause categorised as expectation gap (the listing set the wrong expectation), product or service issue, delivery issue, or one-off. 3) The top five strengths that new customers would find persuasive. 4) A list of suggested edits to the listing, sorted by expected reduction in complaints, and separate real operations fixes that no wording can solve. 5) A short, polite public reply template for a negative review that does not argue. Rules: use only the reviews pasted; do not invent counts or ratings. If the sample is below 20, say that the themes are tentative. Do not quote long review passages. Do not suggest removing or faking reviews; advise on honest responses only. Platform review policies differ; mark any policy point [VERIFY].
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