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Use case

AEO Reporting for Agencies

A repeatable AI visibility reporting process for agency client management.

Quick answer
Agencies managing AI visibility for multiple clients need a scalable reporting method that covers share of mentions, citations, and competitive positioning per client. Without a consistent template and process, reports become ad hoc and hard to compare, which makes it difficult to demonstrate value and retain clients.
Expected outcomes

What you can achieve

One template
reused across every client account
Comparable
month-over-month results with a fixed method
Plain language
summaries clients can act on
Action list
attached to every report
How it works

How to approach aeo reporting for agencies

1

Create a client template

Build one reporting template with the same sections for every client: prompt list, engines, competitors, share of mentions, citations, accuracy notes, and technical readiness.

2

Agree the method with each client

Set the prompt list, competitor set, engines, and cadence. Record the method in the report so results are comparable between rounds.

3

Run baseline checks per client

Collect a baseline of share of mentions, citation footprint, and technical readiness for each client. Use the free AI-readiness check for the technical section.

4

Deliver client reports

Present the results in plain language with trends, competitive benchmarks, and recommended actions. State the sample size and method on every report.

5

Manage ongoing optimisation

Keep a prioritised action list per client, track completed changes, and rerun the checks to see the effect across the client portfolio.

The solution

How to approach it

Start by standardising the method. Create one client template with the same sections for every account: the prompt list, the engines checked, the share of mentions for the client and its competitors, notable citations, accuracy notes, and technical readiness. A consistent template makes quarter-over-quarter comparison simple and lets any team member run a client review.

For each client, agree on 20 to 50 prompts, record the competitor set, and run the prompts on an agreed cadence, such as monthly. Store results in a shared sheet per client. Add web analytics data for AI referral traffic where the client allows it, with a note that referrer data is incomplete.

Present the results in plain language. Share of mentions can be described as AI market share, citation changes as AI referral potential, and competitive gaps as a prioritised action list. Always state the method and the sample size, so clients understand that the numbers are directional. Agencies with many clients can use generic AI visibility monitoring tools to automate prompt runs and branded exports.

For the technical section of each report, the free AEO Platform AI-readiness check gives a deterministic view of AI crawler access, sitemap, llms.txt, structured data, and FAQ and comparison pages for a client domain. It checks technical signals only and does not read live AI answers.

Example queries

Queries to monitor

“Best AI visibility tools for agencies”
“How to report on AEO performance to clients”
“White-label AI monitoring for agencies”
“Agency tools for AI search optimization”
“How to sell AEO services to clients”
FAQ

AEO Reporting for Agencies FAQ

Relevant engines
Free AI-readiness check

Can AI crawlers read and cite your site?

Run the free check to see technical signals: AI crawler access, sitemap, llms.txt, schema markup, and FAQ and comparison pages. It does not read live AI answers. No account needed.