Monthly Client Review Template

A monthly review is not a data dump. It is a narrative. Clients remember stories, not tables. This template gives you a repeatable structure that keeps meetings under 45 minutes and ends with the client confident in your work.

What you'll learn

• The five sections every monthly review should include
• Which metrics to lead with and which to keep in the appendix
• How to frame wins, gaps, and next steps so clients stay engaged

The five-section structure

A monthly AI search review has five sections. Run them in this order.

1. The headline number (5 minutes)

Open with one number: the client's overall citation rate this month versus last month. Then show their visibility score.

Do not open with a table of 12 metrics. One number creates focus. It gives the client an immediate sense of direction: up, down, or stable. Everything else in the meeting adds context to that headline.

If the number is up, say by how much and name the engine that drove it. If the number is down, name the likely cause before the client asks. If it is flat, explain why flat is not failure: consistency is a form of progress when a competitor is losing ground.

2. Engine breakdown (10 minutes)

Show citation rates across all six engines: ChatGPT, Claude, Perplexity, Google AI, Grok, and DeepSeek. A simple table works well here.

Explain the baseline context once, then refer back to it in later meetings. Perplexity cites at 58% in aggregate, Google AI at 38%. A client at 30% on Google AI is not failing: that engine is the hardest to win. A client at 30% on Perplexity has a real problem.

Highlight one engine that improved and one that needs attention. Two data points are memorable. Six is a spreadsheet.

3. Competitor comparison (10 minutes)

Show the client's share of voice against the two or three competitors they care about most. Focus on the engines where the gap has changed, not every data point.

If a competitor has pulled ahead on a specific engine this month, that is your most important finding. It means something changed: their content, their citations, or the prompts driving that engine. Your job is to name the likely cause and propose a response.

If the client has gained ground on a competitor, make it explicit. Clients often focus on where they are losing. Pointing out a concrete win builds confidence and reinforces the value of the engagement.

4. What changed and why (10 minutes)

This is the section that separates good agencies from great ones. Show what you did last month and connect it to the data you just reviewed.

If you updated content on three pages and the citation rate on those topics moved up, say so. If you added new prompts and discovered an engine was citing the client where you did not expect it, show that. If a surge alert fired and you investigated, describe what you found.

If the numbers moved and you do not know why, say that too. "We saw a 6-point rise in ChatGPT citations this month. We believe it relates to the FAQ content we added, but we are still monitoring to confirm." Honesty about uncertainty is more credible than a confident story that the client will eventually question.

Use the action log at /reports to pull a summary of what Outercite flagged and what you acted on.

5. Next 30 days (5 minutes)

End with three to five specific actions, each with an owner and a due date. These should be concrete enough that both you and the client can check them off at the next review.

Good examples:

• Add 10 comparison-intent prompts for the new product line by 15 June.
• Update the FAQ page to address the "how to choose" query category where the client currently has 0% citation rate.
• Monitor the Grok surge alert for [competitor name] through the end of the month and report back.

Poor examples:

• "Continue improving AI visibility." (Not specific enough to be accountable.)
• "Fix content." (Not an action.)

Handling difficult meetings

Some months the numbers will not move. Some months they will go down. Here is how to handle each.

Flat month: Acknowledge it. Explain what you expected to happen and why it has not yet. Show the actions you took and frame the next 30 days as the payoff period. Flat results early in an engagement are common: citation patterns take time to shift.

Down month: Do not minimise it. Name the cause (a competitor gained ground, a content update was not indexed, a prompt category dropped out of results). Show the specific change in the data. Then show the specific fix. Clients respect directness far more than spin.

Client asks for more detail: Have the raw data ready at /reports. You do not need to present every row in the meeting, but being able to pull up the underlying data on request is essential for trust.

Formatting the report

Use Outercite's white-label reports to present data under your agency brand. Set up automated delivery via /reports so the report lands in the client's inbox before the meeting, giving them time to read it in advance.

Keep the written report to two to three pages. The meeting adds the narrative; the document is the reference. Anything beyond three pages will not be read.

Try this in Outercite

Pull last month's citation data for one of your clients now. Go to /reports, select the monthly view, and draft the five-section structure above using real numbers. Run the meeting within the week. If you do not have a client yet, use the /clients/add flow to set up your first workspace.

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