# AEO Brand Visibility & ChatGPT Citation Tracker (`neon_innovation_lab/chatgpt-aeo-citation-tracker`) Actor

Track brand visibility and citation share across ChatGPT Search, Perplexity, and AI search engines. Generates llms.txt and Schema JSON-LD fixes.

- **URL**: https://apify.com/neon\_innovation\_lab/chatgpt-aeo-citation-tracker.md
- **Developed by:** [Neon Innovation Lab](https://apify.com/neon_innovation_lab) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$15.00 / 1,000 aeo 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/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

## AEO Brand Visibility & ChatGPT Citation Tracker

> **Audit your brand's visibility, rankings, and citations across ChatGPT Search, Perplexity, and AI search engines. Generate automated `llms.txt` and Schema.org JSON-LD fixes to win AI recommendations.**

***

### 🔍 Why AEO (Answer Engine Optimization) in 2026?

With over 60% of commercial searches now happening within AI assistants (ChatGPT, Claude, Perplexity, Google AI Overviews), traditional Google SEO rankings no longer guarantee traffic.

When buyers ask:

- *"What is the best \[product category] for beginners?"*
- *"Compare Brand A vs Brand B"*
- *"Which \[category] has the highest durability?"*

AI models synthesize answers from structured data, trusted review nodes (Reddit, Wirecutter), and accessible web crawlers. If your site blocks `GPTBot` or lacks machine-readable entity schemas, **your brand is omitted from the answer while competitors capture 100% of the recommendations.**

This Actor audits your brand across all critical Generative Engine Optimization (GEO) vectors in seconds.

***

### ⚡ Key Features

1. **AI Crawler & Robots.txt Verification**:
   - Inspects permissions for `GPTBot`, `ClaudeBot`, `PerplexityBot`, `Google-Extended`, and `Amazon-Rufus`.
   - Flags explicit disallow rules that render your product catalog invisible to AI search.
2. **`llms.txt` & Knowledge Index Audit**:
   - Detects and validates `/.well-known/llms.txt` following the official markdown standard.
   - Auto-generates a ready-to-deploy `llms.txt` customized with your verified brand specs.
3. **Structured Data (Schema.org) Inspector**:
   - Parses JSON-LD for `Product`, `Organization`, and `Offers` markup required by AI shopping engines to confirm pricing, stock, and manufacturer legitimacy.
4. **Commercial Search Simulation & Share of Model (SoM)**:
   - Simulates high-intent buyer prompts across search-enabled engines.
   - Calculates recommendation share against category competitors.
5. **Executable Remediation Package**:
   - Delivers drop-in code snippets for `llms.txt`, `robots.txt` patches, and validated JSON-LD schemas.

***

### 📥 Input Configuration

```json
{
  "domain": "yourstore.com",
  "brandName": "Your Brand",
  "keywords": [
    "sustainable products",
    "eco essentials"
  ],
  "competitors": [
    "competitor-a.com",
    "competitor-b.com"
  ]
}
```

***

### 📤 Output Dataset Format

The Actor pushes comprehensive, structured audit records directly to the Apify dataset:

```json
{
  "domain": "yourstore.com",
  "brandName": "Your Brand",
  "overallAeoScore": 84,
  "grade": "B",
  "shareOfModelPct": 75,
  "aiCrawlScore": 100,
  "schemaScore": 85,
  "robotsTxt": {
    "present": true,
    "botDirectives": {
      "GPTBot": "Allowed",
      "ClaudeBot": "Allowed",
      "PerplexityBot": "Allowed"
    }
  },
  "llmsTxt": {
    "present": true,
    "url": "https://yourstore.com/.well-known/llms.txt"
  },
  "schemasDetected": ["Organization", "Product", "Offer"],
  "recommendedFixes": {
    "llmsTxtSnippet": "# Your Brand\n\n> Verified manufacturer of sustainable products..."
  }
}
```

***

### 💰 Monetization & Pay-Per-Event (PPE)

This Actor is configured under Apify's **Pay-Per-Event (PPE)** model. Run on-demand or schedule recurring weekly audits via Apify API, Make, Zapier, or native webhooks to track client AI visibility over time.

# Actor input Schema

## `domain` (type: `string`):

The primary domain of the brand to audit (e.g. yourstore.com)

## `brandName` (type: `string`):

Brand name for entity matching (e.g. Your Brand)

## `keywords` (type: `array`):

Keywords representing your core product categories

## `competitors` (type: `array`):

Competitor domains or names to benchmark against

## Actor input object example

```json
{
  "domain": "yourstore.com",
  "brandName": "Your Brand",
  "keywords": [
    "sustainable products",
    "eco essentials"
  ],
  "competitors": [
    "competitor-a.com",
    "competitor-b.com"
  ]
}
```

# 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 = {
    "domain": "yourstore.com",
    "brandName": "Your Brand",
    "keywords": [
        "sustainable products",
        "eco essentials"
    ],
    "competitors": [
        "competitor-a.com",
        "competitor-b.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("neon_innovation_lab/chatgpt-aeo-citation-tracker").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 = {
    "domain": "yourstore.com",
    "brandName": "Your Brand",
    "keywords": [
        "sustainable products",
        "eco essentials",
    ],
    "competitors": [
        "competitor-a.com",
        "competitor-b.com",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("neon_innovation_lab/chatgpt-aeo-citation-tracker").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 '{
  "domain": "yourstore.com",
  "brandName": "Your Brand",
  "keywords": [
    "sustainable products",
    "eco essentials"
  ],
  "competitors": [
    "competitor-a.com",
    "competitor-b.com"
  ]
}' |
apify call neon_innovation_lab/chatgpt-aeo-citation-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neon_innovation_lab/chatgpt-aeo-citation-tracker"
        }
    }
}
```

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/d3W5v7pGhnnT76V9X/builds/PQqIoojHybbK0hNE0/openapi.json