AI-Written Client Reports: How Agencies Save Hours Per Week

AI-Written Client Reports: How Agencies Save Hours Per Week

Charts are easy. Commentary is hard.

Building a chart takes a minute. Explaining what it means takes ten.

"Revenue was up 12% this week" is obvious from the chart. What clients actually want to know is why it went up, whether it'll continue, and what to do about it. Writing that context for every client, every week, is where the time goes.

Let the AI write the first draft

Every Pulse delivery from Chartcastr includes an AI-written summary. It's not a generic "your metrics changed" message. It looks at the actual data, compares it to previous deliveries, and writes something specific.

"ROAS improved to 4.2x this week, up from 3.6x. The Lookalike audience campaign drove most of the gain, with CPA dropping 22% after last week's creative refresh. Prospecting campaigns held steady. Consider increasing budget on the Lookalike campaign while performance is strong."

That's the kind of commentary that would take you 10-15 minutes to write per client. Multiply that by your client count.

What the AI considers

It's not just reading the current chart. Each summary builds on:

• Previous deliveries. The AI remembers what it said last time. If it flagged a CPA increase two weeks ago, it'll note whether that resolved.
• Connected context. If you've linked a Google Doc with the campaign strategy or a budget spreadsheet, the AI references it.
• The full picture. When you use Source Groups to bundle related sources, the AI analyses them together. Spend trends + conversion data + revenue in one summary.

How agencies use this

On client calls. The AI summary is a ready-made talking point. Open the Slack thread, read the summary, discuss. No prep needed.

For async clients. Some clients don't want a call. They want to read the update and move on. The AI summary gives them everything they need in a few sentences.

As a quality check. Your team reviews what the AI wrote, adds a quick note if needed, and moves on. It's faster than writing from scratch.

The compounding effect

AI summaries get more useful over time. They reference past analyses, spot long-term trends, and build a narrative across weeks and months. By week 8, your client has a running history of what happened and why.

That's something no manual report provides.

Try it

Connect a source and create a Pulse. The AI summary comes automatically with every delivery.