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Pulling the numbers together takes twenty minutes. Writing something coherent around them takes the rest of the day.
The problem isn't the data, it's the narrative: working out what actually moved, what it means, and what you'd do differently next month. That's exactly what ChatGPT is good at.
Try this prompt:
You are a senior marketing analyst. I'm going to share last month's performance data. Turn it into a clear monthly report with four sections:
1. PERFORMANCE SUMMARY
Write a 2–3 sentence plain-English overview of how the month went. No jargon.
2. WHAT WORKED
List the top 3 wins. For each one, note what drove it and why it matters.
3. WHAT DIDN'T
List 2 underperformers. Be direct about what the numbers suggest, not just what they show.
4. NEXT MONTH
Write one short paragraph on what to do differently, based on the data.
My data:
[Paste your metrics here — channels, numbers, key results, and any context worth knowing]
Happy prompting!
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2026 State of AEO Report
A year ago, most marketers weren't thinking about AI search. Now it's one of the fastest moving channels in the industry and nobody has a playbook yet.
So we built one. We surveyed hundreds of marketers to find out how they're approaching answer engine optimization, where they're investing, what's actually working, and what isn't.
The result is the 2026 State of AEO Report. Real data. Real strategies. A clear picture of where AI search is headed and how to get ahead of it.
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