> 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/understand-your-visibility/prompts.md).

# Prompts

Prompts are the questions Reach monitors across AI engines. They define the demand you are measuring, so prompt quality directly affects the usefulness of every visibility report.

## Review the prompt set

Use the Prompts page to:

* search and filter monitored questions;
* review performance by prompt;
* organize prompts by topic, label, audience, use case, or journey stage;
* disable prompts that no longer matter; and
* inspect suggested prompts before adding them to monitoring.

## Choose useful prompts

A strong prompt:

* represents a question a real buyer could ask;
* describes a problem, comparison, category, or decision;
* is understandable without internal company language; and
* is meaningfully different from the rest of the set.

Avoid filling the workspace with minor wording variations. A smaller, representative set produces clearer analysis than a large set of near-duplicates.

## Open prompt detail

Select a prompt to review its results over time. The detail view helps answer:

* which AI engines mention the brand;
* which competitors are recommended;
* which pages and domains are cited; and
* how the answer changed between runs.

Use single-day detail when you need to inspect the exact answer and evidence behind an aggregate metric.

## Keep the set current

Review prompts when the company launches a product, enters a market, changes positioning, or learns that customers use different language. Document material changes so period comparisons remain understandable.


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# Agent Instructions
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## 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:

```
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```

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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.
