AEO Brand Visibility & ChatGPT Citation Tracker avatar

AEO Brand Visibility & ChatGPT Citation Tracker

Pricing

$15.00 / 1,000 aeo domain audits

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AEO Brand Visibility & ChatGPT Citation Tracker

AEO Brand Visibility & ChatGPT Citation Tracker

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

Pricing

$15.00 / 1,000 aeo domain audits

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Developer

Neon Innovation Lab

Neon Innovation Lab

Maintained by Community

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a day ago

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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

{
"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:

{
"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.