# Audit a website for AI search readiness

**Use case:** 

Check AI crawler access, metadata, schema, sitemap, and llms.txt signals for a public website.

## Input

```json
{
  "urls": [
    "https://www.apify.com"
  ],
  "concurrency": 2,
  "timeoutSeconds": 20,
  "includeSitemapCheck": true,
  "includeLlmsTxtCheck": true
}
```

## Output

```json
{
  "inputUrl": {
    "label": "Input url",
    "format": "string"
  },
  "finalUrl": {
    "label": "Final url",
    "format": "string"
  },
  "statusCode": {
    "label": "Status code",
    "format": "integer"
  },
  "ok": {
    "label": "Ok",
    "format": "boolean"
  },
  "score": {
    "label": "Score",
    "format": "integer"
  },
  "grade": {
    "label": "Grade",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "metaDescription": {
    "label": "Meta description",
    "format": "string"
  },
  "canonicalUrl": {
    "label": "Canonical url",
    "format": "string"
  },
  "hasSchemaOrg": {
    "label": "Has schema org",
    "format": "boolean"
  },
  "schemaTypes": {
    "label": "Schema types",
    "format": "array"
  },
  "hasSitemap": {
    "label": "Has sitemap",
    "format": "boolean"
  },
  "hasLlmsTxt": {
    "label": "Has llms txt",
    "format": "boolean"
  },
  "robotsTxtStatus": {
    "label": "Robots txt status",
    "format": "integer"
  },
  "aiCrawlerPolicy": {
    "label": "Ai crawler policy",
    "format": "object"
  },
  "findings": {
    "label": "Findings",
    "format": "array"
  },
  "errorCode": {
    "label": "Error code",
    "format": "string"
  },
  "errorMessage": {
    "label": "Error message",
    "format": "string"
  },
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [GEO / AEO Website Audit — AI Search Readiness](https://apify.com/rtworule/ai-search-readiness-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rtworule/ai-search-readiness-auditor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rtworule/ai-search-readiness-auditor.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).