# GEO Tracker

> Use this tool when you need to monitor your brand's visibility in generative AI responses and track citation frequency across major AI platforms. GEO Tracker solves problems related to brand awareness, competitor analysis, and content optimization by providing visibility snapshots, historical trends, and competitor comparisons. It takes in AI platform data as input and outputs actionable insights, making it ideal for brands seeking to refine their AI presence and content strategies.

Canonical page: https://skillsregistry.net/skills/akzar1el-geo-tracker  
JSON: https://api.skillsregistry.net/v1/skills/akzar1el-geo-tracker

## Description

GEO Tracker enables brands to monitor their visibility in generative AI responses by measuring citation frequency across major AI platforms including ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It provides tools for visibility snapshots, historical trends, competitor comparisons, and content gap analysis, deployed as a self-hosted Cloudflare Workers service with D1 database.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/akzar1el-geo-tracker)
- **Repository:** <https://github.com/akzar1el/mcp-geo>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "akzar1el-geo-tracker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/akzar1el-geo-tracker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/akzar1el-geo-tracker/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt