This view highlights potential issues mentioned repeatedly in guest reviews. It helps you quickly spot risks — such as noise or unreliable Wi-Fi — before deciding to book.
This panel appears when you open Review Insights on an Airbnb listing. It scans guest reviews for recurring complaints and highlights potential issues worth being aware of before booking.
Example view from an Airbnb listing showing detected issues based on guest reviews.
Only issues that appear repeatedly in guest reviews are shown here. A single negative comment is not enough — the goal is to surface patterns, not isolated opinions.
If no issues are shown, it means no recurring complaints were detected — not that the listing is perfect.
Deep review analysis summarizes patterns found across multiple Airbnb listings. It aggregates guest reviews and highlights recurring themes, strengths, and potential improvement areas.
In this example, reviews from 4 listings were analyzed, each based on its available guest feedback. Listings with very few reviews may not appear.
This analysis is a one-time snapshot generated from the current set of public reviews. Results may change as new reviews are added.
A category is only shown if it appears repeatedly across reviews. Single mentions are ignored.
Reviews are grouped into themes such as Amenities, Location, Host behavior, Communication, Cleanliness, and Value.
Each theme shows:
Example suggestions like “improve soundproofing” or “add coat hooks” are derived from repeated guest feedback, not individual opinions.
This analysis highlights patterns mentioned by guests. It does not replace reading full reviews and may miss context, sarcasm, or individual circumstances.
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