> For the complete documentation index, see [llms.txt](https://help.meetmadison.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.meetmadison.ai/local-seo/rank-tracking.md).

# Local rank tracking

## What Madison tracks

You don't need to pick keywords. Madison automatically tracks your **local ranking** for two key search terms per location: a broad term for your type of business, and your primary Google category.

## Your ranking report

* **Current ranking**: your average local position right now
* **Trend**: whether you're moving up or down
* **History**: your position over roughly the past year

Rankings update automatically, so there's nothing to run. You'll also find this in [Reports](/reports/overview.md).

{% hint style="success" %}
The best ways to climb: keep your [listing accurate and optimized](/local-seo/google-profile-optimizations.md), and keep [fresh reviews](/reputation/review-requests.md) coming in.
{% endhint %}


---

# 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://help.meetmadison.ai/local-seo/rank-tracking.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.
