# Audit a portfolio of websites for AI search and agent readiness

**Use case:** 

Scores a list of websites on how well AI search engines and agents can use them: AI crawler access in robots.txt, llms.txt validity, structured data, content readable without JavaScript, Markdown delivery, agent discovery files. One row per site with category scores, every check with evidence, and a prioritised fix list ready for a client report.

## Input

```json
{
  "urls": [
    "https://agentsgearbox.com",
    "https://docs.apify.com",
    "https://llmstxt.org",
    "https://stripe.com",
    "https://medium.com",
    "https://www.bbc.co.uk"
  ],
  "aiBots": [
    "OAI-SearchBot",
    "ChatGPT-User",
    "GPTBot",
    "Claude-SearchBot",
    "Claude-User",
    "ClaudeBot",
    "PerplexityBot",
    "Perplexity-User",
    "Google-Extended",
    "Googlebot",
    "Bingbot",
    "Applebot-Extended",
    "DuckAssistBot",
    "CCBot",
    "Bytespider",
    "Amazonbot",
    "meta-externalagent"
  ],
  "checkLlmsLinks": true,
  "includeFixes": true,
  "concurrency": 6,
  "timeoutSecs": 20
}
```

## Output

```json
{
  "site": {
    "label": "Site",
    "format": "text"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "grade": {
    "label": "Grade",
    "format": "text"
  },
  "accessScore": {
    "label": "Access",
    "format": "number"
  },
  "guidanceScore": {
    "label": "Guidance",
    "format": "number"
  },
  "structureScore": {
    "label": "Structure",
    "format": "number"
  },
  "readabilityScore": {
    "label": "Readability",
    "format": "number"
  },
  "performanceScore": {
    "label": "Performance",
    "format": "number"
  },
  "agentScore": {
    "label": "Agent files",
    "format": "number"
  },
  "llmsTxt": {
    "label": "llms.txt",
    "format": "text"
  },
  "aiSearchBotsAllowed": {
    "label": "AI search bots allowed",
    "format": "text"
  },
  "jsOnly": {
    "label": "Needs JS",
    "format": "boolean"
  },
  "topFix": {
    "label": "Top fix",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The AI Readiness Audit · llms.txt, AI Crawlers, Structured Data Actor is ready to run with the inputs already set for "Audit a portfolio of websites for AI search and agent readiness". [Sign up or log in](https://console.apify.com/create-task-from-example/kUAwG6dfIyvVvejmo) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Audit a portfolio of websites for AI search and agent readiness" task

The AI Readiness Audit · llms.txt, AI Crawlers, Structured Data Actor will start running based on the input automatically. You can also change all the input fields, like websites to audit, AI crawlers to evaluate, and more, to match your specific use case.

### 3. Receive the "Audit a portfolio of websites for AI search and agent readiness" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as site, score, grade, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Audit a portfolio of websites for AI search and agent readiness" task via API](https://apify.com/agentsgearbox/ai-readiness-audit.md).

## About this Actor

This example demonstrates how to use [AI Readiness Audit · llms.txt, AI Crawlers, Structured Data](https://apify.com/agentsgearbox/ai-readiness-audit.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/agentsgearbox/ai-readiness-audit.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).