Prepare for client calls with a clearer view of guest feedback. Catchr connects Airbnb Review data to ChatGPT or Claude through MCP, so freelancers and agencies can ask about ratings, read review text and build summaries backed by original reviews.
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Airbnb Review
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Start by discovering the columns available for your connected Airbnb Review account, then select the fields your question needs. Explore ratings, review content and posting dates while keeping each finding tied to the reviews returned.
Use Rating to examine the stars given in individual reviews and identify feedback below a chosen threshold. Review Count represents the total number of reviews for the listing.
Keep those measures separate in client reporting. A count of reviews returned for a selected period is not necessarily the listing's total Review Count, and repeated listing totals should not be added together.
Select Review Text alongside Rating to investigate what guests praise or criticize. Ask for recurring themes and supporting excerpts to prepare a focused client discussion.
Include Review ID and Review URL so you can check the original feedback. Base conclusions on the text returned, and distinguish recurring comments from isolated experiences.
Use Review Date to place feedback in context and Language to compare the reviews available in different languages. These fields can help structure a reporting-period summary or organize feedback for a client team.
Discover the available date columns before choosing a time grouping. Confirm that the selected account supports the dates and level of detail needed for your report.
A focused feedback investigation, a recurring client report and a question through Catchr MCP serve different needs. Choose the approach that fits the review task in front of you.
Use source-focused analysis to investigate feedback, reports to present a consistent view, and Catchr MCP for questions that arise during client preparation. Keep review references available whichever approach you choose.
Connect Airbnb Review in Catchr using API-key authentication and select the relevant account. Connect your AI destination, such as ChatGPT or Claude, through Catchr MCP. Discover the available review columns, select the ones you want to use and ask your first reporting question.
Use these prompts to prepare client discussions, investigate lower ratings and organize guest feedback. Each starts with field discovery so the analysis uses columns available for your selected account.
Using Catchr, what are the main guest feedback themes for [account] between [start date] and [end date]? Discover the available columns, then use Review Date, Review Text, Rating, Review ID and Review URL where available. Summarize recurring praise and concerns, include supporting excerpts and review URLs, and distinguish isolated comments from repeated themes. State how many distinct reviews support the briefing and flag missing fields.
Copy promptUsing Catchr, which reviews for [account] between [start date] and [end date] have a Rating below [rating threshold]? Discover the available columns, then select Rating, Review Date, Review Text, Review ID and Review URL where available. Return a table ordered by rating, summarize the concerns expressed in those reviews and suggest questions to discuss with the client. Keep suggestions separate from statements made by guests.
Copy promptUsing Catchr, how does guest feedback differ by Language for [account] between [start date] and [end date]? Discover the available columns, then select Language, Review Text, Rating, Review Date and Review ID where available. Count distinct returned reviews by language and summarize the feedback in English. Show the number of reviews supporting each summary, keep missing language values separate and avoid inferring guests' nationality from language.
Copy promptUsing Catchr, what review-volume figures can I report for [account] between [start date] and [end date]? Discover the available columns, then select Review Count, Review ID and Review Date where available. Count distinct reviews returned within the period and present that separately from the listing total represented by Review Count. Do not sum repeated listing totals. Explain any differences in scope and flag ambiguity that prevents a reliable total.
Copy promptDiscover the columns available for your connected account first. Supported fields include Rating, Review Count, Review Date, Review Text, Language, Review ID and Review URL. Select the fields needed to summarize feedback, investigate lower ratings or prepare a client briefing.
Connect Airbnb Review in Catchr using API-key authentication, select the relevant account and connect ChatGPT or Claude through Catchr MCP. Then discover your available columns before asking a review reporting question.
Rating is the star rating given in a review. Review Count is the total number of reviews for the listing. For a date-filtered analysis, count distinct returned Review IDs separately and avoid adding repeated listing totals.
Use Review Date and the available date columns to define each period. Confirm date coverage and supported grouping for the connected account first. Compare the reviews returned for those periods, and flag gaps rather than assuming complete historical coverage.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
