Prepare your next client call with X / Twitter account profiles and public engagement metrics. Connect the source in Catchr, select the relevant accounts, and use ChatGPT or Claude to ask about follower counts, profile details, and tweet interactions.
For freelancers and agencies, it is a practical way to turn connected social data into reporting tables and focused questions for client reviews.
“Compare paid media performance across my client accounts and flag the biggest changes.”
.png){kind=logo}
X / Twitter Public Data
Google Ads
GA4
Used by the world's leading companies
Build your analysis around account profiles, audience counts, and tweet engagement. Keep each metric tied to what it measures so your report clearly separates account-level totals from interactions with tweets.
Use Account Id, Account Name, and Account Username to identify the profiles in your report. Add Account Description, Account URL, and Account Created At to give each profile useful context.
Account Location is a freeform profile entry, not a verified geographic classification. Account Protected, Account Verified, and Account Verified Type provide additional profile details for an account review.
Compare Followers Count and Following Count across selected client accounts. Listed Count shows how many lists include an account, while Tweet Count measures the number of tweets posted, including retweets.
These counts help describe the accounts you manage. A returned follower total alone does not establish follower growth, and Tweet Count should not be presented as original posts published during a reporting period.
Review Impression Count alongside Like Count, Reply Count, Retweet Count, Quote Count, and Bookmark Count. Keep the interaction types separate to show whether the available tweet data reflects likes, conversation, sharing, or bookmarking.
Use these measures to prepare a clear engagement breakdown. State the coverage of the returned data before presenting totals as an account-wide result.
A focused account analysis, a client report, and a question through Catchr MCP serve different moments in agency work. Choose the approach that fits the decision you need to make.
Use source-focused analysis to inspect account details, a report to present selected metrics consistently, and Catchr MCP to explore follow-up questions. Keep the same account selection and metric definitions across all three approaches.
Connect X / Twitter Public Data in Catchr using API-key authentication and select the relevant client accounts. Then connect your AI destination through Catchr MCP to ask questions in ChatGPT or Claude.
Start by requesting account names, usernames, and follower counts to confirm your reporting scope before exploring tweet engagement.
Replace the bracketed placeholders with your client accounts and review criteria. Each prompt asks for a concrete output you can use when preparing a report or client conversation.
Using Catchr, compare Followers Count, Following Count, Listed Count, and Tweet Count for [client accounts]. Include Account Name and Account Username, sort by Followers Count, and flag accounts below [follower threshold]. Explain that Tweet Count includes retweets and describe the returned counts without claiming growth over time.
Copy promptUsing Catchr, review Account Description, Account URL, Account Location, and Account Protected for [client accounts]. Return a table with Account Username, identify missing profile values, and list which details need client confirmation. Treat location as self-reported text and distinguish missing data from an explicitly false Protected value.
Copy promptUsing Catchr, retrieve the available tweet metrics for [client accounts] and summarize Impression Count, Like Count, Reply Count, Retweet Count, Quote Count, and Bookmark Count. Establish the returned data's coverage before aggregating, keep each interaction type separate, and identify unavailable metrics rather than treating them as zero. Prepare a short client-facing explanation without presenting incomplete coverage as account-wide totals.
Copy promptUsing Catchr, build an account reference table for [client accounts] with Account Id, Account Name, Account Username, Account Created At, Account Most Recent Tweet Id, and Account Pinned Tweet Id. Flag missing pinned or most recent tweet IDs for review, and explain that these identifiers do not provide tweet content or publication dates. Use account creation dates only to describe when the profiles were created.
Copy promptConnect the X / Twitter Public Data source in Catchr with API-key authentication, select the relevant accounts, and connect ChatGPT or Claude through Catchr MCP. Begin with an account profile query to check that your selected accounts match the client review.
Tweet Count is the number of tweets posted by an account, including retweets. It is an account-level total, so do not label it as original posts or posts published within a particular reporting period.
Followers Count tells you how many users follow an account in the returned data. Growth requires comparable observations from different points in time. Confirm that those observations are available before calculating a change; Account Created At is the profile creation date, not a follower measurement date.
You can ask about impressions, likes, replies, retweets, quotes, and bookmarks. Request a breakdown that keeps these measures separate and states the coverage of the returned tweet data. Missing values should remain identified as missing rather than being reported as zero.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
