Prepare client reviews with Integral Ad Science data in ChatGPT or Claude through Catchr MCP. Select an IAS team and reporting period, then ask about total tracked ads, invalid traffic and ads that did not meet viewability requirements.
For freelancers and agencies, this puts focused ad-quality questions alongside the numbers needed to explain them.
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Use the IAS Performance report to review tracked ad volume, invalid traffic and not viewable ads. Keep the selected team and requested date window visible so every result has clear reporting context.
Total Tracked Ads is the number of ads processed by IAS. Use it to establish the volume covered by a client review before discussing invalid traffic or viewability.
Include Team Name, Team Id, Report Start and Report End to identify whose data you are reviewing and the period requested.
Invalid Traffic counts ads that IAS detected as invalid traffic. Request it alongside Total Tracked Ads to put the count in context for the selected team and date window.
Compare separate reporting periods to identify changes worth discussing with a client. These fields show the reported counts; they do not explain the cause of a change.
Not Viewable Ads counts ads that did not meet IAS viewability requirements. Use it to prepare a viewability discussion or flag reporting periods above a threshold you choose.
Present this metric separately from Invalid Traffic. The available fields do not establish whether the two counts overlap, so adding them would not establish a unique total of affected ads.
A focused IAS review, a recurring client report and a question through Catchr MCP serve different reporting needs. Choose the approach that fits the work, using the same supported team context and metrics.
Use source-focused analysis to examine a specific IAS result, assemble reports for recurring client updates, and query Catchr MCP when you need an answer to a defined question. Keep each comparison tied to the selected team and reporting dates.
Connect Integral Ad Science in Catchr with your IAS username and password, then select the relevant IAS team. Connect your AI destination through Catchr MCP and specify the team, date range and metrics for your question.
Use dates in YYYY-MM-DD format. Start with a request for Total Tracked Ads, Invalid Traffic and Not Viewable Ads, including the team name and report dates.
Replace the bracketed values with your selected IAS team, reporting dates and thresholds. Each prompt uses the supported IAS Performance fields and asks for a result you can review before sharing with a client.
Using Catchr, what does the IAS Performance report show for [IAS team account] from [start date] to [end date]? Return Team Name, Team Id, Report Start, Report End, Total Tracked Ads, Invalid Traffic and Not Viewable Ads. Write a short client briefing that defines each metric and separates reported facts from questions requiring further investigation. If no results are returned, state that clearly rather than treating missing results as zero.
Copy promptUsing Catchr, how did Invalid Traffic and Total Tracked Ads change for [IAS team account] between [previous start date]–[previous end date] and [current start date]–[current end date]? Show both counts for each period, their absolute changes and their percentage changes. Label the date windows and flag unequal period lengths. If a previous value is zero or missing, mark its percentage change as unavailable. Do not infer the cause of a change.
Copy promptUsing Catchr, did Not Viewable Ads exceed [ad-count threshold] for [IAS team account] from [start date] to [end date]? Show the reported count, the threshold and the amount above or below it, with Total Tracked Ads for context. Include Team Name and the report dates. If results are missing, say the threshold could not be assessed.
Copy promptUsing Catchr, which of [selected IAS team accounts] reported the highest Invalid Traffic count from [start date] to [end date]? Query each selected team for the same window and return a table with Team Id, Team Name, Total Tracked Ads, Invalid Traffic, Not Viewable Ads, Report Start and Report End. Sort by Invalid Traffic descending, identify teams with no results separately, and explain that a ranking by count does not account for differences in tracked ad volume.
Copy promptYou can query Total Tracked Ads, Invalid Traffic and Not Viewable Ads from the IAS Performance report. Include Team Id, Team Name, Report Start and Report End to make the scope of each result clear.
Connect Integral Ad Science in Catchr using your IAS username and password, then select the relevant team. Connect ChatGPT or Claude through Catchr MCP and specify that team, your requested metrics and a date range in YYYY-MM-DD format.
The available IAS report fields provide team context, request dates and the three supported metrics. Campaign and placement breakdowns are not included. Keep questions at the supported team and reporting-window level.
Report Start and Report End identify the inclusive dates requested for a report. They do not by themselves establish a daily performance breakdown. For period comparisons, request separate date windows and label each result with its requested dates.
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