Prepare your next ecommerce client review with answers about product visibility, performance, and pricing. Connect Google Merchant Center to Catchr, select the client's accounts, and ask questions through Catchr MCP in ChatGPT or Claude.
For freelancers and agencies, that means bringing product disapprovals, account issues, and performance figures into the same reporting conversation.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Google Merchant Center
Google Ads
GA4
Used by the world's leading companies
Start by discovering the available fields for the selected Merchant Center account. Choose the columns relevant to your question, and keep performance, status, and pricing reports separate unless their compatibility is confirmed.
Use Program to distinguish ADS from ORGANIC reporting. Explore supported clicks, impressions, CTR, conversions, conversion rate, and conversion value to prepare a focused client performance review.
Discover the available date columns before requesting a period comparison. Ask for the figures behind each observation so your client discussion stays grounded in the returned data.
Review active, disapproved, expiring, and pending product counts by country and destination where available. Inspect item issue codes, descriptions, affected item counts, and servability to identify issues that need attention.
Account issue titles, severity, detail, and documentation add context for the next client conversation. Keep status totals separate from issue-level rows: selecting issue fields can repeat the same group's statistics across several issues.
Explore benchmark prices in price competitiveness reporting and suggested prices in price insights. Discover the available identifying columns before selecting how to present each result.
Price insights also expose predicted change fractions for clicks, impressions, and conversions. Use these predictions to frame pricing questions for your client, while keeping them distinct from observed performance.
A focused investigation, a recurring report, and a question through Catchr MCP serve different client needs. Choose the method that fits the Merchant Center question you need to answer.
Use focused analysis to investigate a Merchant Center issue, reports to present selected figures, and Catchr MCP to ask follow-up questions during preparation. Across all three methods, distinguish observed results, product status counts, and pricing predictions.
Connect Google Merchant Center to Catchr through Google OAuth and select the relevant merchant accounts, including accessible subaccounts. Choose ChatGPT or Claude through Catchr MCP, discover the available reporting fields, and select the columns for your first question.
The Google Cloud project used for the connection must have Merchant API enabled and its required developer registration completed. Registration requires an authorized administrator of the chosen Merchant Center account.
Replace the bracketed values with your client's account and reporting criteria. Each prompt starts with field discovery so you can choose columns available for the requested report.
Using Catchr, discover the performance fields and date options for Google Merchant Center account [account]. Use [selected available columns] to compare ADS and ORGANIC from [start date] to [end date] against [comparison start date] to [comparison end date]. Include clicks, impressions, CTR, conversions, conversion rate, and conversion value where supported together. Show the figures behind the largest changes and identify any requested comparison the available data cannot support.
Copy promptUsing Catchr, discover the product status and item issue fields for Google Merchant Center account [account]. Use [selected available columns] to show active, disapproved, expiring, and pending counts by country and destination where available. Separately list issues affecting at least [item count threshold] items, with their code, description, servability, and resolution field. Prioritize DISAPPROVED issues for review. Do not sum repeated group statistics across issue rows, and retain groups with an unspecified destination.
Copy promptUsing Catchr, discover the account issue fields for Google Merchant Center account [account]. Use [selected available columns] to summarize issue titles, severity, detail, country, destination, and documentation where returned. Organize the briefing by reported severity, preserve issues without a country or destination, and draft client talking points grounded in each issue's detail. If no issues are returned, state that result without inferring that every product is eligible.
Copy promptUsing Catchr, discover the price insight fields and available identifying columns for Google Merchant Center account [account]. Use [selected available columns] to list suggested prices with predicted conversions change fractions above [minimum predicted change fraction], alongside predicted clicks and impressions change fractions where available. Rank the returned rows by predicted conversions change fraction and prepare questions for a client pricing review. Label all predicted changes as predictions and leave missing values unspecified.
Copy promptYou can explore clicks, impressions, CTR, conversions, conversion rate, and conversion value, with Program distinguishing ADS from ORGANIC. Discover the available columns and date options before requesting a specific breakdown or period comparison.
Authorize Google Merchant Center in Catchr through Google OAuth, select the relevant accounts, and connect your AI destination through Catchr MCP. The connection's Google Cloud project needs Merchant API enabled and developer registration completed by an authorized administrator of the chosen Merchant Center account.
Adding item issue fields can repeat a status group's statistics for each issue. Summing those rows can overstate totals. Request a statistics-only summary for status counts and a separate issue list for diagnosis. Keep groups with an unspecified destination visible.
No. Suggested prices and predicted change fractions for clicks, impressions, and conversions support a pricing review; they do not establish an observed improvement. Report them as predictions and use performance metrics separately to describe actual results.
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