Prepare your next client discussion with a clearer view of search interest. Connect Google Trends to Catchr, then use ChatGPT or Claude through Catchr MCP to explore interest over time, geographic patterns, related queries and related topics.
For freelancers and agencies, these answers can support content briefs, market discussions and client reporting.
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Start with changes over time, examine geographic interest, then explore related searches. Choose Worldwide or a country as your geographic scope; that setting applies across your Google Trends data.
Use Date, Interest and Interest Average to examine the returned time series. Identify peaks and quieter periods to inform a client discussion about content timing.
Keep the date range and geographic scope visible in your analysis so readers know which period and market the findings describe.
Explore Region Interest alongside country labels and codes to prepare a geographic breakdown. For a country-specific view, use the available region, DMA or city labels and codes.
Select a country before requesting region, DMA or city data. Those levels are not supported with the Worldwide setting.
Review Related Query with Related Query Interest and Related Query Rising Value to identify searches worth investigating for a content brief.
Explore Related Topic ID with Related Topic Interest and Related Topic Rising Value for a separate topic-level view. Keep topic IDs visible rather than assigning names that are not included in the returned data.
Use focused analysis for a specific search-interest question, assemble a report for a client review, or ask questions about connected Google Trends data through Catchr MCP.
Choose the method that fits the client deliverable. A report can present Google Trends findings for review, while Catchr MCP lets you ask targeted follow-up questions about the connected data.
Connect Google Trends to Catchr using API-key authentication, then connect your AI destination through Catchr MCP. Choose Worldwide or a country for your analysis and specify the date range in your question.
For region, DMA or city reporting, select a country. Your geographic selection also applies to interest over time, related queries and related topics.
Use these prompts in ChatGPT or Claude with Catchr MCP connected. Replace the bracketed values with your reporting scope, dates and selection criteria.
Using Catchr, analyze the connected Google Trends time series for [geographic scope] from [start date] to [end date]. Show Date, Interest and Interest Average where returned. Identify the highest and lowest Interest values and summarize the pattern for a client planning discussion. State any gaps in the returned data.
Copy promptUsing Catchr, use [country] as the Google Trends geographic scope and rank the available regions by Region Interest for [start date] to [end date]. Show Region Interest Region Label, Region Interest Region Code and Region Interest. Highlight entries above [interest threshold] and prepare talking points for a geographic content brief.
Copy promptUsing Catchr, review Google Trends related queries for [geographic scope] from [start date] to [end date]. Show Related Query, Related Query Interest and Related Query Rising Value where available. Sort by Related Query Rising Value, highlight values above [rising value threshold], and suggest content questions based on the returned query text. Separate suggestions from reported values.
Copy promptUsing Catchr, review Google Trends related topics for [geographic scope] from [start date] to [end date]. Show Related Topic ID, Related Topic Interest and Related Topic Rising Value where available. Compare the topics with the highest interest against those with the highest rising values and flag IDs appearing in both groups. Use the returned IDs without inventing topic names.
Copy promptYou can ask about Interest and Interest Average over time, geographic Region Interest, related queries and related topic IDs. Related queries and topics each have interest and rising-value fields, which you can use to prepare research shortlists.
Connect Google Trends in Catchr using API-key authentication, then connect ChatGPT or Claude through Catchr MCP. Choose your geographic scope and include the dates and Google Trends fields you need in your question.
Region, DMA and city fields require a country-specific geographic scope. Worldwide does not support those levels. Select a country before requesting them; the same selection applies to your time series and related data.
The available topic fields provide Related Topic ID, Related Topic Interest and Related Topic Rising Value. Topic names and search-volume totals are not included in the listed fields. Keep topic IDs in your output and report interest values without relabeling them as search counts.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
