# AI visibility reporting your clients can inspect.

Canonical: https://llmcitely.com/features/client-reporting
Publisher: LLM Citely
Reviewed: 2026-10-29

Explain the sample, show the sources and carry findings into an owned action plan. A report should make the next decision easier.

## Lead with the reporting question

Choose the decision the client needs to make: establish a baseline, investigate a source gap, review completed changes or approve the next experiment. A report assembled around that decision is more useful than an unexplained score.

Start from the [editable report template](https://llmcitely.com/templates/geo-report) if you need a lightweight structure before working in a client project.

## Show what was planned and what was collected

Include the approved question set, market, surface, reporting period, valid answers and missing runs. State whether the counting unit is an answer, a brand mention or a source link. These are not interchangeable.

[Measure AI visibility](https://llmcitely.com/guides/how-to-measure-ai-visibility) explains how to keep coverage separate from a mention rate and how to report an undefined denominator.

## Attach findings to evidence

A useful finding names the question, observed answer and relevant source. Separate the client’s own citation from an independent citation and keep unverified interpretation out of the evidence column.

For each priority finding, attach the action owner, status and acceptance criteria. Avoid claims of guaranteed rankings, a fixed share of all user prompts or causation from a before-and-after sample.

## Compare periods only when the method supports it

Record changed questions, aliases, competitors, market or collection method. If two periods use different populations, explain the break rather than presenting a seamless trend.

A client may still need a decision when coverage is incomplete. Show the missing portion and describe the narrower conclusion the available observations support.

## Keep the delivery loop connected

The product links client context, questions, answer evidence, assigned work and report output. Verify the current export and collection availability in your workspace. Do not assume an unlisted engine, white-label capability or integration is available.

[Explore agency delivery](https://llmcitely.com/for-agencies) or [inspect the illustrative demo](https://llmcitely.com/demo) before choosing a reporting workflow.

## Continue with the next step

- [Use the editable report](https://llmcitely.com/templates/geo-report)
- [Check the metric definitions](https://llmcitely.com/guides/how-to-measure-ai-visibility)
- [Explain the method](https://llmcitely.com/methodology)
- [Review client delivery](https://llmcitely.com/for-agencies)
- [Explain the quoted workload](https://llmcitely.com/docs/points-and-usage)
- [Read actual AI-source arrival data](https://llmcitely.com/guides/track-ai-traffic-in-ga4)

## Your next step

[Build a report draft](https://llmcitely.com/templates/geo-report)