Prepare your next client conversation with a clearer view of G2 feedback. Connect G2 Review to Catchr, select the relevant account and ask ChatGPT or Claude about the review data through Catchr MCP.
For freelancers and agencies, ratings and written feedback provide useful starting points for explaining customer experience and identifying questions worth discussing with the client.
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G2 Review
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GA4
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Start by discovering the columns available for your connected G2 Review account, then select the ones your analysis needs. Use rating summaries, individual reviews and reviewer context to build a focused client readout.
Select available columns for Average Rating, Review Count and the counts of one- through five-star ratings. These help you describe the overall rating picture and how reviews are distributed across the scale.
Keep product-level summaries separate from individual review rows so repeated totals do not inflate your report.
Use available Review ID, Review Title, Review Text, Rating and Review Date columns to investigate specific feedback. Ask for recurring themes with supporting review references, or examine low-rated reviews before a client call.
Where available, Ease of Setup Rating, Ease of Use Rating and Quality of Support Rating can help focus the discussion on particular parts of the customer experience.
Select available Company Size and Reviewer Role columns alongside review ratings and text to explore differences in feedback between groups. Reviewer Details can provide additional context when relevant to the question.
Show how many returned reviews support each comparison and keep missing reviewer information visible. Small groups should remain discussion points rather than broad conclusions about customers.
A focused review analysis, a client report and a question through Catchr MCP serve different needs. Choose the approach that fits the G2 feedback you want to explain and how you plan to share it.
Use a focused analysis to investigate G2 feedback, a report to present the findings and Catchr MCP to ask follow-up questions against the connected data. Keep the account, selected columns and review coverage clear in each approach.
Connect G2 Review in Catchr using API-key authentication and select the relevant account. Choose ChatGPT or Claude through Catchr MCP as your destination, then discover the available review columns before asking your first question.
For a dated analysis, confirm that Review Date is available and check the returned coverage for your selected period.
Use these prompts after connecting your account. Each starts with column discovery so you can select the available fields needed for the question and keep the answer grounded in returned G2 review data.
Using Catchr, what does the G2 rating distribution look like for [account]? Discover the available columns and ask me to select Average Rating, Review Count and the one- through five-star counts if available. Report the returned summary values without summing repeated product totals. Calculate each star level's share only when the counts describe the same review population, and identify any missing values.
Copy promptUsing Catchr, what concerns recur in G2 reviews rated at or below [rating threshold] for [account] between [start date] and [end date]? Discover the available columns and ask me to select the review identifier, date, rating, title and text columns. Confirm date coverage, group the returned feedback into themes and include supporting review IDs. State how many returned reviews support each theme and avoid inferring causes beyond the text.
Copy promptUsing Catchr, how does G2 feedback differ by [company size or reviewer role] for [account]? Discover the available columns and ask me to select the grouping column, review identifier, individual rating and review text. Compare ratings and recurring themes across the returned groups, show the number of reviews behind each comparison and flag groups with fewer than [minimum review count] reviews. Report missing group values separately.
Copy promptUsing Catchr, which parts of the customer experience deserve discussion for [account]: setup, ease of use or support? Discover the available columns and ask me to select the corresponding rating columns plus review identifiers and text where available. Summarize each selected rating at its returned level of detail, identify values below [rating threshold] and use relevant review text to frame client discussion questions. Keep missing ratings distinct from low ratings and do not assume every review discusses each topic.
Copy promptConnect G2 Review in Catchr using API-key authentication, select the relevant account and choose ChatGPT through Catchr MCP. Discover the available columns, select the review data you need and ask your reporting question.
Rating is the star rating given in an individual review. Average Rating summarizes ratings across reviews, while Review Count is the total number of reviews for the product. Keep these levels separate when analyzing returned rows so product totals are not counted repeatedly.
Discover whether Review Date is available for your connected account, then select it and request your date range. Check the dates returned before describing a trend. The available history and supported date grouping are not established here, so confirm coverage in the results.
Yes, when Company Size or Reviewer Role is available alongside the selected review columns. Ask for ratings and feedback themes by group, with the number of returned reviews supporting each comparison. Missing details and small groups limit how broadly you can interpret the findings.
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