How Agencies Can Report GEO Results to Clients (Without Overpromising)

Clients are starting to ask "what do AI assistants say about us?" Agencies that can answer with data, in a clean report, have an easy way to add a service. The risk is overpromising, because AI answers are variable and you do not control them.

What a client report should contain

1. Baseline. Where the brand stands today: mention rate, ranking position and sentiment, split by AI platform.
2. Competitor comparison. The same metrics for the two to five competitors the client cares about. Relative position is what clients understand fastest.
3. Raw examples. A handful of actual AI answers, good and bad. Nothing is more persuasive than reading the answer itself.
4. Trend. Change since the previous run, shown over weeks rather than days.
5. Sources. Which pages the models rely on for the client's category, and where the client is missing.
6. Next actions. Concrete steps tied to the findings, not generic advice.

Setting honest expectations

• Answers vary. Say so up front, and report trends across scheduled runs instead of single results.
• You influence, you do not control. Frame the work as improving the client's presence on the sources models draw from.
• Give it time. Coverage on independent sites and re-crawling take weeks, not days.
• Separate awareness from recommendation. Whether a model knows the brand and whether it recommends the brand to a new buyer are different questions.

Delivering it under your own brand

In PeiGEO you add a brand, its website, its industry and up to five competitors; the system generates 40 tracking questions you can edit, then runs them on demand or on a schedule. From the results you can:

• Generate a PDF report with your agency's logo in place of ours.
• Create a read-only share link so the client can view results without signing up. Links can be password-protected and revoked at any time.

Pricing is pay-as-you-go credits with no subscription, so the cost scales with how much you run for each client. See pricing for current packs.

Keep the cadence

A monthly review built on weekly scheduled runs is usually enough. If you are new to the metrics, start with AI visibility score explained.