# app-seo-ai

> Use this tool when you need to optimize your application's search engine ranking, as it leverages AI to improve visibility and drive organic traffic. It solves problems related to poor app discoverability and low conversion rates by analyzing and enhancing app store listings and metadata. With git integration, it accepts app repository data as input and outputs actionable SEO recommendations.

Canonical page: https://skillsregistry.net/skills/ziongh-app-seo-ai  
JSON: https://api.skillsregistry.net/v1/skills/ziongh-app-seo-ai

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ziongh/app-seo-ai)

## 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": "ziongh-app-seo-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ziongh-app-seo-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ziongh-app-seo-ai/pull`

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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