Prepare your next client call with a clearer view of customer feedback. Connect Yelp Review to Catchr, select the relevant accounts, and ask ChatGPT or Claude about the review data available for your reporting.
Explore ratings, read the feedback behind them, and inspect management replies. Freelancers and agencies can use these details to build a review summary with links back to the original Yelp reviews.
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Start by discovering the columns available for your connected Yelp Review account and selecting those relevant to your question. The live schema can include rating metrics, review details, language and management replies. Confirm the available fields and date coverage before building a comparison.
Select Average Rating and Review Count when available to establish the reported rating and volume for the entity. Use Rating to examine the star ratings on individual reviews.
For a client presentation, distinguish the reported overall metrics from calculations based on the reviews returned by a query. If you select Review Date, check which dates are represented before describing a change over time.
Select Review Text alongside Rating to investigate what customers praise or criticize. Include Review ID and Review URL so your summary can point back to the reviews supporting each theme.
Use Language when available to organize feedback by the language of the review. This can help an agency prepare a more focused client brief while keeping the original wording available for reference.
Select Reply Text with Review Text, Rating and Review URL to examine management responses in context. Identify reviews where a reply is returned and flag lower-rated reviews where the returned reply field is empty.
An empty Reply Text value means no reply text was returned for that review. Verify the original Yelp review before treating it as an unanswered customer concern.
A focused review investigation, a recurring report and a question through Catchr MCP serve different client needs. Choose the approach that fits the work, using the available Yelp Review columns as your starting point.
Use a report to give clients a consistent view of Yelp ratings and feedback. Use Catchr MCP to investigate follow-up questions, such as which concerns appear in lower-rated reviews or which returned reviews have no reply text. Keep each answer tied to the selected accounts and reviews.
Connect Yelp Review in Catchr using its API-key authentication flow and select the relevant client accounts. Then connect your AI destination, such as ChatGPT or Claude, through Catchr MCP.
Begin by asking which Yelp Review columns are available. Select the rating, text, reply and date columns you need, then confirm the query scope before preparing your client summary.
Use these prompts with your connected accounts. Each starts with column discovery so you can confirm the fields used in the analysis. Replace the bracketed values with your account selection, dates and reporting preferences.
Using Catchr, discover the available Yelp Review columns for [accounts] and ask me to confirm the selection of Account ID, Average Rating and Review Count where available. Then prepare a client brief showing the reported metrics and their scope for each selected account. Keep separately scoped entities separate, do not sum repeated review counts or average reported averages, and identify any missing values.
Copy promptUsing Catchr, discover the Yelp Review columns for [accounts] and ask me to confirm the selection of Review Date, Rating, Review Text, Review ID and Review URL where available. For [start date] to [end date], find returned reviews with a rating at or below [rating threshold]. Group their feedback into recurring themes, cite supporting review links, and distinguish repeated concerns from isolated comments. State the date coverage and number of reviews analyzed.
Copy promptUsing Catchr, discover the Yelp Review columns for [accounts] and ask me to confirm the selection of Review Date, Rating, Review Text, Reply Text and Review URL where available. For [start date] to [end date], list returned reviews rated at or below [rating threshold] whose Reply Text is empty. Sort by rating, then most recent review date. Include the feedback and original review link, and label each as having no reply text returned so I can verify it on Yelp.
Copy promptUsing Catchr, discover the Yelp Review columns for [accounts] and ask me to confirm the selection of Language, Review Date, Rating, Review Text, Review ID and Review URL where available. For [start date] to [end date], group the returned reviews by Language. Count distinct Review IDs and summarize the main praise and concerns in groups with at least [minimum review count] reviews. Include supporting review links, show missing language values separately, and describe the results as a summary of the returned reviews.
Copy promptDiscover the columns available for your connected account first. They can include Average Rating, Review Count, individual Rating, Review Text, Review Date, Language, Reply Text and links to original reviews. Select the columns that support your question, whether you need a rating brief or a closer look at customer concerns.
Connect Yelp Review in Catchr through its API-key authentication flow, select the relevant accounts, and connect ChatGPT or Claude through Catchr MCP. Discover the available Yelp Review columns before asking your first reporting question.
Use Review Date or an appropriate available date column after confirming the dates represented in the returned data. Define both periods explicitly and distinguish calculations on returned reviews from reported Average Rating and Review Count metrics. Available date columns alone do not establish historical coverage.
It means no management reply text was returned for that review. Use Review URL to check the original review before calling it unanswered. A useful client checklist pairs empty reply values with low ratings and the original feedback for verification.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
