Enterprise Lead Magnet • 100% Free

Is ChatGPT Citing Your Brand, or Your Competitor?

The instant Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) scanner. Inspect your machine-readable knowledge graph, AI crawler clearances, and RAG extraction readiness.

Enter any brand domain or e-commerce URL to diagnose live AI citation visibility
The Architectural Shift

Why 2018 SEO Techniques Are Invisible to AI Search Engines

Traditional Google search matches keywords and counts backlinks. AI engines (ChatGPT, Perplexity, Copilot, Google AI Overviews) parse entity relationship graphs and direct conversational vector embeddings. Here is the mathematical difference:

Legacy Model (2012–2023)Declining ROI

Traditional Keyword SEO

Optimizes for search bots that scan for keyword repetitions, density quotas, and guest-post backlinks.

01User searches: "best luxury jewelry near me"
02Bot indexes raw keywords & backlink volume
03Returns 10 blue links cluttered with ads
⚠ Downfall:65%+ of searches now end in zero clicks. Users skip the links.
The Modern Standard (2025–2026+)3x Higher Conversion

Answer Engine Optimization (AEO / GEO)

Engineered for multi-agent LLMs that synthesize conversational answers, query vector embeddings, and demand verified entity proofs.

01Founder asks: "Which studio should we hire to scale our brand?"
02LLM ingests /llms.txt, Schema graph & RAG vectors
03AI provides 1 definitive recommendation with your link
✓ Winner Takes All:The cited brand captures 80%+ of qualified inbound buyers.
The AI Citation Engine

How AI Engines Choose Who to Recommend

When a buyer prompts an AI assistant, it executes an automated 3-stage filtration pipeline in 800 milliseconds:

01

Vector Retrieval & Intent

AI transforms the user prompt into mathematical vectors. Instead of exact words, it searches for conceptual depth, authoritative case studies, and numerical proof metrics.

Vector Similarity > Word Count
02

Machine-Readable Filtration

AI engines aggressively discard 95% of slow, unformatted sites. They prioritize domains equipped with clean Schema.org entity graphs and standardized /llms.txt knowledge files.

Clean Schemas > Bloated CMS
03

Direct Citation & Conversion

The AI model synthesizes a confident, single-paragraph recommendation and attaches your domain as the primary source citation—funneling qualified buyers straight to your site.

Single Citation > 10 Blue Links
The Reality Check

3 Blindspots Costing You Customers in AI Search

Most founders assume their site is being read by AI assistants. In reality, 9 out of 10 domains suffer from these 3 hidden flaws:

Blindspot 01

Silent Crawler Blockades

Over 40% of Webflow, Shopify, and WordPress configurations accidentally disallow GPTBot and Perplexity in default robots.txt rules, making AI citation impossible.

Fix: Explicit AI directive routing
Blindspot 02

The Missing /llms.txt Protocol

When LLMs ingest complex client-side JavaScript, they often hallucinate pricing and capabilities. Providing an /llms.txt gives AI verified answers directly.

Fix: Machine-readable knowledge file
Blindspot 03

Unanchored Knowledge Graphs

Without bidirectional Schema.org sameAs entity anchors connecting your domain to Crunchbase, LinkedIn, and media articles, AI models consider you an unverified rumor.

Fix: Multi-entity JSON-LD modeling
Frequently Asked Questions

Everything You Need to Know About AEO

The Window of Opportunity is Open

Dominate AI Recommendations Before Competitors Wake Up

Right now, 95% of brands have zero AEO knowledge architecture. The first companies to deploy structured machine graphs will capture permanent authority in their vertical.

Book 30-Min Strategy Call ↗