> 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/find-opportunities/topics-explorer.md).

# Topics Explorer

Topics Explorer groups related keywords and prompts into themes. It helps you understand whether your brand covers a market coherently rather than one query at a time.

## Overview

The overview compares topics using signals such as search demand, keyword coverage, prompt coverage, and AI visibility. Use it to find themes with meaningful demand but weak current performance.

## Explore the map

Visual views show the relative size and composition of each topic. Change the selected measure to avoid equating the largest keyword count with the strongest opportunity.

## Open a topic

Topic detail brings the relevant keywords and prompts together. From here you can:

* review the topic description and intent;
* inspect member keywords and prompts;
* open the associated records in Search Demand or Prompts; and
* identify missing, duplicated, or misplaced items.

## Organize topics

Rename topics when an automatically generated name does not match the language your team uses. Merge overlapping topics and remove groups that are not relevant to the business.

Structural changes affect how data is grouped, so make them deliberately and avoid reorganizing topics during an important reporting comparison.

## Use topics for planning

A useful topic connects three layers:

1. **Demand:** what people search and ask.
2. **Coverage:** the content and pages available to answer it.
3. **Visibility:** whether search and AI engines recognize the brand for it.

Use [Search Demand](/find-opportunities/search-demand.md) for keyword-level research and [AI Analytics](/understand-your-visibility/ai-analytics.md) for visibility trends.


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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/find-opportunities/topics-explorer.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.