> For the complete documentation index, see [llms.txt](https://docs.neuraltext.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.neuraltext.com/feature-guides/keyword-discovery.md).

# Keyword Discovery

Researching keywords is essential to grow anything online because it can reveal important details.

Keywords reports can help you understand what terms people are actively searching for, the trend of those terms, and guide your marketing efforts to increase organic search visibility, rankings, and traffic.

Some data you can see in keyword reports:

* How many users are searching monthly a term (Search Volume)
* What are the most relevant terms
* What's the seasonality (Trend)
* How difficult it could be to rank (Keyword Difficulty)
* SERP Features
* Cost-per-Click

<figure><img src="/files/m0P7J2r13N5wc7bwnHM5" alt=""><figcaption></figcaption></figure>


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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:

```
GET https://docs.neuraltext.com/feature-guides/keyword-discovery.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.