Your First AI Diagnostic Report

What this article covers

• See roughly what an AI diagnostic report looks like
• Understand what each section is telling you
• Learn to ask follow-up questions based on the report

How to start

Once your account is connected, send a line in the chat:

"Diagnose my Meta ad performance over the last 7 days"
or
"My ROAS dropped recently — help me figure out why"

What the report looks like

A complete diagnostic report usually has three layers — start with the big picture, then the charts, and finally the checklist. It builds up from "see clearly" to "know what to change."

① The big picture — account health at a glance

Full report overview (anonymized) · Executive summary, full key-metrics table, daily trend chart, device breakdown, attribution decomposition, historical campaigns — one report that explains the whole account's health

② Comparison charts — which Campaign is dragging things down

AI-generated comparison charts · Total spend comparison + cost vs. purchase volume — charts instead of words so you can judge at a glance

③ Action checklist — AI tells you exactly what to change

This part is the most useful · AI gives you a priority-sorted checklist, each item with "how much improvement to expect." A single "Execute items 1, 3, and 5" gets AI moving

Reports vary by account, but they usually contain 4 sections, building up from "see the situation" to "take action":

After reading the report, ask these follow-ups

The report itself is just the start — these follow-ups make AI's advice more concrete and actionable:

• "Tell me more about [Campaign name] you mentioned — why is this happening?"
• "Following the priority order you suggested, draw me up an execution checklist for this week"
• "If I were to change something right now, which one is the safest to touch first?"
• "Which ones do I have to do manually? Which can you execute for me directly?"