Use Catchr MCP to ask ChatGPT or Claude about your clients’ Booking Review data. Explore ratings, read positive and negative feedback, and examine review replies before your next client call.
For freelancers and agencies, it’s a practical way to move from connected review data to focused questions and evidence for client recommendations.
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Booking Review
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Start by discovering the columns available for your connected Booking Review account, then select the ones your report needs. Use ratings for an overview and review text for the detail behind the numbers.
Select Average Rating, Rating and Review Count where available to examine client feedback. Keep Account ID in multi-account reporting so each result stays associated with the right account.
For comparisons over time, discover the available date columns and confirm which can be used for your selected period. Check the returned rating format before interpreting values or applying thresholds.
Use selected Review Title, Pros and Cons columns to explore what reviewers praise and what they find disappointing. Language can help you focus the analysis on a particular set of reviews.
Ask for recurring themes with supporting Review IDs so you can check the evidence before turning a summary into client advice. Keep missing text separate from feedback that explicitly reports no concerns.
Select Reply Text alongside Review ID, Rating and the available feedback columns to examine replies in the context of each review. This gives client teams concrete examples to discuss when reviewing how feedback is addressed.
Flag records with no returned Reply Text for follow-up. An empty value alone does not confirm that a review has never received a reply.
A focused review analysis, a recurring report and a question through Catchr MCP serve different client needs. Choose the approach that fits the question and the output you need.
Use reports for a consistent client overview and Catchr MCP for follow-up questions about ratings, feedback or replies. Keep the selected accounts, periods and columns explicit so the results are easier to explain.
Connect Booking Review in Catchr using API-key authentication and select the relevant client accounts. Choose ChatGPT or Claude through Catchr MCP, discover the available review columns, and select the data for your first question.
Replace the bracketed values with your client’s details. Each prompt starts with column discovery so the analysis uses the data available for the selected account.
Using Catchr, what changed in ratings and review volume for [account] between [first date range] and [second date range]? Discover the available columns, then use my selected rating, review count and date columns. Confirm the rating format and date filtering before comparing the periods. Show the available metrics side by side, state how they were aggregated, and flag any limits that prevent a fair comparison.
Copy promptUsing Catchr, what recurring praise and complaints appear in Booking Review feedback for [account] during [date range]? Discover the available columns, then use my selected Pros, Cons, Review Title, Review ID, Language and date columns. Focus on [language], summarize positive and negative themes separately, and include supporting Review IDs. Describe only the returned review set and identify missing text.
Copy promptUsing Catchr, which returned Booking Review records for [account] during [date range] have a rating below [rating threshold] and no returned reply text? Discover the available columns, then use my selected Rating, Reply Text, Review ID, Review Title and date columns. Confirm the rating scale before applying the threshold. List the matching reviews for manual follow-up and label blank replies as missing returned text, not confirmed unanswered reviews.
Copy promptUsing Catchr, how do the returned replies address negative feedback in Booking Review records for [account] during [date range]? Discover the available columns, then use my selected Cons, Reply Text, Review ID and date columns. For records with both negative feedback and a reply, summarize the concern and the reply’s response, citing Review IDs. Highlight concerns not explicitly addressed in the reply text without inferring whether the issue was resolved.
Copy promptDiscover the columns available for your connected account first. You can select available rating metrics and review details such as Pros, Cons, Review Title, Language and Reply Text to investigate feedback and prepare client summaries.
Connect Booking Review in Catchr using API-key authentication, select the relevant accounts, and choose ChatGPT or Claude through Catchr MCP. Discover the available columns before asking your first reporting question.
First check the available date columns, including Review DateTime or Date where returned, and confirm that your chosen periods can be queried. Historical coverage and supported time groupings must be checked before drawing comparisons.
No. It means no reply text was returned for that record. Use Review ID and the available review details to create a follow-up list, then verify reply status before reporting a review as unanswered.
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