> For the complete documentation index, see [llms.txt](https://docs.usereach.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.usereach.ai/take-action/earned-mentions.md).

# Earned Mentions

Earned Mentions turns citation data into a working pipeline of pages and domains where your brand may be able to earn stronger coverage.

## Find opportunities

The pipeline brings cited pages together with signals such as citation frequency, prompt coverage, brand mentions, page type, and domain quality. Use filters to narrow the list to opportunities that match your goals and market.

A frequently cited page is not automatically a good target. Check that the page is relevant to your audience, actively maintained, and open to a realistic contribution or relationship.

## Work the pipeline

Use statuses to keep the team aligned:

* **Inbox** — newly discovered opportunities that still need review.
* **Queue** — relevant opportunities selected for future work.
* **Active** — outreach or another action is in progress.
* **Secured** — the desired coverage or relationship was achieved.
* **No Response** — outreach did not receive a response.
* **Lost** — the opportunity is no longer being pursued.

Open an opportunity to review its citation evidence, associated prompts, page and domain context, and any work already recorded by the team.

## Prioritize the right targets

Prioritize opportunities that combine:

* relevance to an important prompt or topic;
* repeated influence across AI answers;
* credible domain and page quality;
* a clear gap in the current brand coverage; and
* a plausible action, contact, or contribution.

## Connect the evidence

Use [Sources](/understand-your-visibility/sources.md) to understand why a page matters and [Brand Mentions](/understand-your-visibility/brand-mentions.md) to identify citations where another brand receives the recommendation.

The goal is not outreach volume. It is earning credible third-party coverage in the sources that shape answers your audience actually sees.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.usereach.ai/take-action/earned-mentions.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.