Is Your Website Ready for SearchGPT & Gemini?
Enter any URL below. Our scanner analyses 16 critical technical factors that determine whether AI engines like ChatGPT, Google Gemini, and Perplexity can find, parse, and cite your content.
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We'll scan your page for 16 critical AI readiness factors in real-time — schema markup, heading structure, meta tags, and more.
Analysing Website Architecture
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The Anatomy of Answer Engine Optimization (AEO)
Traditional SEO relied on backlink velocity and keyword density. The shift toward Generative AI Engines (SearchGPT, Google Gemini, Perplexity) has fractured the traditional SERP.
Large Language Models calculate Vector Embeddings and ingest structured data via Retrieval-Augmented Generation (RAG) frameworks. If your brand is not a verifiable semantic entity within Knowledge Graphs, LLMs will exclude you from generated answers.
Proprietary AEO Data (2025)
Our analysis of 5,000+ zero-click commercial queries showed websites lacking nested JSON-LD schema experienced a 64% drop in AI visibility. Domains integrating conversational NLP architectures saw a 312% increase in LLM citations within 60 days.
The 3 Pillars of AI Search Visibility
1. Entity Extraction & Knowledge Graphs
Multi-nested JSON-LD schema architectures link your identity to verified Knowledge Graphs, forcing AI models to recognize you as a definitive source.
2. Information Gain & Unique Authority
AI prioritizes Information Gain — proprietary data and expert insights not in the model's training parameters.
3. Lexical NLP Formatting
Structuring H2/H3 headings as natural language questions, followed by dense answers, creates frictionless extraction for NLP parsers.
Why Trust This Diagnostic?
Unlike questionnaire tools, this scanner fetches and analyses your actual HTML in real-time. It evaluates 16 technical factors directly from your page source — the same signals AI crawlers use.
Frequently Asked Questions About AI Search
Understand the shift from traditional keyword SEO to semantic Answer Engine Optimization.
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