# AI Crawler Readiness Auditor (`nectared_screen/ai-crawler-readiness-auditor`) Actor

Audit domains for llms.txt, robots.txt AI bot rules, sitemap hints, and public AI crawler readiness signals.

- **URL**: https://apify.com/nectared\_screen/ai-crawler-readiness-auditor.md
- **Developed by:** [jaehan byun](https://apify.com/nectared_screen) (community)
- **Categories:** SEO tools, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 domain audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## AI Crawler Readiness Auditor

Audit domains for AI crawler readiness signals: `llms.txt`, `llms-full.txt`, `robots.txt` rules for AI user agents, sitemap hints, and homepage references.

### What it does

This Actor helps SEO, developer relations, documentation, and content teams check whether a site is easy for AI crawlers and agentic tools to discover. For each domain, it fetches public files only and returns a compact readiness score with concrete remediation notes.

It does not log in, bypass access controls, use residential proxies, or crawl private content.

### Input

- `domains`: Domains or URLs to audit.
- `maxDomains`: Safety cap for one run.
- `requestTimeoutSecs`: Timeout for each public HTTP request.
- `checkHomepage`: Whether to fetch the homepage and look for discovery hints.

Example:

```json
{
  "domains": ["apify.com", "docs.apify.com", "example.com"],
  "maxDomains": 25,
  "requestTimeoutSecs": 12,
  "checkHomepage": true
}
```

### Output

Each dataset item represents one audited domain.

Important fields:

- `readinessScore`: 0-100 score based on public AI discoverability signals.
- `llmsTxt`: status, URL, line count, byte size, and extracted links for `/llms.txt`.
- `llmsFullTxt`: status and size for `/llms-full.txt`.
- `robots`: robots.txt status plus AI bot allow/disallow findings.
- `sitemap`: sitemap hints from robots.txt, homepage HTML, and `/sitemap.xml`.
- `issues`: concrete problems to fix.
- `recommendations`: actionable next steps.

Example output item:

```json
{
  "domain": "example.com",
  "origin": "https://example.com",
  "readinessScore": 28,
  "grade": "D",
  "llmsTxt": { "exists": false, "statusCode": 404 },
  "robots": { "exists": true, "aiBotRules": [] },
  "sitemap": { "found": false, "urls": [] },
  "issues": ["Missing /llms.txt", "No sitemap hints found"],
  "recommendations": ["Add /llms.txt with key documentation and product URLs"]
}
```

### Pricing

When pay-per-event monetization is enabled, this Actor is intended to charge one `domain-audit` event per audited domain. It checks the user spending limit before auditing each domain.

### Limitations

- The Actor checks public files and homepage HTML only; it is not a full-site crawler.
- robots.txt interpretation is conservative and focused on AI-related user-agent names.
- A high score means good public discovery hygiene, not guaranteed ranking in AI products.

# Actor input Schema

## `domains` (type: `array`):

Domains or website URLs to audit for AI crawler readiness.

## `maxDomains` (type: `integer`):

Safety cap for how many unique domains to audit in one run.

## `requestTimeoutSecs` (type: `integer`):

Timeout for each public HTTP request.

## `checkHomepage` (type: `boolean`):

Fetch the homepage and look for llms.txt and sitemap references.

## Actor input object example

```json
{
  "domains": [
    "apify.com",
    "docs.apify.com",
    "example.com"
  ],
  "maxDomains": 25,
  "requestTimeoutSecs": 12,
  "checkHomepage": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nectared_screen/ai-crawler-readiness-auditor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("nectared_screen/ai-crawler-readiness-auditor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call nectared_screen/ai-crawler-readiness-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nectared_screen/ai-crawler-readiness-auditor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1cVNeRdiXSDGqi1m0/builds/BYHcCzQufTmX6RUe0/openapi.json