# ✨LLMO & AI Search Auditor - /llms.txt \[ChatGPT/Perplexity] (`invaluable_rondeau/llmo-ai-search-readiness-auditor`) Actor

✅ Score any domain (0-100) for ChatGPT Search, Perplexity, Claude & Gemini citation readiness ($15/1k domains). ✅ Audits /llms.txt, robots.txt AI crawlers (GPTBot/ClaudeBot), Schema.org JSON-LD & auto-generates a ready-to-deploy /llms.txt file.

- **URL**: https://apify.com/invaluable_rondeau/llmo-ai-search-readiness-auditor.md
- **Developed by:** [PROOFNEXA](https://apify.com/invaluable_rondeau) (community)
- **Categories:** AI, SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 domain ai search readiness auditeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## LLMO, GEO & `/llms.txt` AI Search Readiness Auditor (ChatGPT, Perplexity, Claude, Gemini)

[![Apify Actor](https://img.shields.io/badge/Apify_Actor-Pay_Per_Event-00d4ff?style=for-the-badge)](https://apify.com/invaluable_rondeau/llmo-ai-search-readiness-auditor)
[![AI Search GEO](https://img.shields.io/badge/AI_Search-ChatGPT_%7C_Perplexity_%7C_Claude-10b981?style=for-the-badge)](https://quant-b2b-risk-gate-api.vercel.app/llmo)

Audit domains in bulk for **Large Language Model Optimization (LLMO)** and **Generative Engine Optimization (GEO)**. Verify whether **ChatGPT Search (`OAI-SearchBot` / `GPTBot`)**, **Perplexity (`PerplexityBot`)**, **Claude (`ClaudeBot`)**, and **Google Gemini (`Google-Extended`)** are allowed to crawl and cite your domain, inspect `/llms.txt` and `/llms-full.txt`, evaluate Schema.org `application/ld+json`, and **auto-generate a ready-to-deploy `/llms.txt` file** for every domain in your list.

***

### Why Teams Schedule This Actor Weekly

1. **Catch Accidental AI Search Blocks**: CDN or WAF updates frequently insert `Disallow: /` for `GPTBot`, `OAI-SearchBot`, or `PerplexityBot` in `/robots.txt`, wiping out AI citation traffic overnight.
2. **4-Gauge PageSpeed-Style AI Readiness Score (`0–100`, Grade `A+` to `F`)**:
   - **Gauge 1 — `/llms.txt` & `/llms-full.txt` Readiness (`35%`)**: Checks whether a clean markdown index exists at the root.
   - **Gauge 2 — AI Crawler Access (`30%`)**: Audits explicit `Allow` / `Disallow` rules across 10 major AI bots (`GPTBot`, `OAI-SearchBot`, `ChatGPT-User`, `ClaudeBot`, `PerplexityBot`, `Google-Extended`, `Applebot-Extended`, `CCBot`, etc.).
   - **Gauge 3 — Structured Data & Semantic Metadata (`20%`)**: Extracts `<title>`, `<meta name="description">`, OpenGraph, `/sitemap.xml`, and `application/ld+json` Schema.org entity graphs.
   - **Gauge 4 — Agent & API Discovery (`15%`)**: Probes `/openapi.json`, `/.well-known/mcp.json`, and `/.well-known/ai-plugin.json`.
3. **Instant `/llms.txt` File Generator**: Every dataset item includes a tailored `generatedLlmsTxt` field ready to commit to your `/public/llms.txt` directory.

***

### Automated Weekly Monitoring (Recommended Setup)

Click **Schedules -> Create schedule** in Apify Console and run this Actor every Monday morning with your domain portfolio and top 5 competitor domains to track AI Search readiness drift over time.

### Companion Actors in This Suite

- [B2B Website Contact, Tech Stack & Intent Signal Enricher](https://apify.com/invaluable_rondeau/b2b-website-enricher)
- [All-in-One Domain SPF/DMARC, SSL, RDAP & Email Security Gate](https://apify.com/invaluable_rondeau/cyber-domain-ssl-rdap-email-security-suite)
- [OpenAPI Breaking-Change & API Contract Drift Monitor](https://apify.com/invaluable_rondeau/third-party-api-contract-drift-monitor)

# Actor input Schema

## `urls` (type: `array`):

List of domains or URLs to audit for ChatGPT Search, Perplexity, Claude, and Gemini citation readiness (/llms.txt, /llms-full.txt, AI bot rules in /robots.txt, Schema.org JSON-LD, OpenAPI/MCP discovery).

## `generateLlmsTxtTemplate` (type: `boolean`):

When enabled, generates a standards-compliant /llms.txt file tailored to each audited domain's live title, meta description, sitemap, and structured data.

## `timeoutMs` (type: `integer`):

Timeout in milliseconds for each endpoint probe (/llms.txt, /robots.txt, /sitemap.xml, JSON-LD).

## Actor input object example

```json
{
  "urls": [
    "https://apify.com",
    "https://vercel.com",
    "https://stripe.com",
    "https://cloudflare.com",
    "https://linear.app",
    "https://supabase.com"
  ],
  "generateLlmsTxtTemplate": true,
  "timeoutMs": 8000
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "urls": [
        "https://apify.com",
        "https://vercel.com",
        "https://stripe.com",
        "https://cloudflare.com",
        "https://linear.app",
        "https://supabase.com"
    ],
    "generateLlmsTxtTemplate": true,
    "timeoutMs": 8000
};

// Run the Actor and wait for it to finish
const run = await client.actor("invaluable_rondeau/llmo-ai-search-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 = {
    "urls": [
        "https://apify.com",
        "https://vercel.com",
        "https://stripe.com",
        "https://cloudflare.com",
        "https://linear.app",
        "https://supabase.com",
    ],
    "generateLlmsTxtTemplate": True,
    "timeoutMs": 8000,
}

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

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://apify.com",
    "https://vercel.com",
    "https://stripe.com",
    "https://cloudflare.com",
    "https://linear.app",
    "https://supabase.com"
  ],
  "generateLlmsTxtTemplate": true,
  "timeoutMs": 8000
}' |
apify call invaluable_rondeau/llmo-ai-search-readiness-auditor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,invaluable_rondeau/llmo-ai-search-readiness-auditor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5yI8nHUBGN80J9UHO/builds/CvcnV4msp6edfFXkh/openapi.json