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Most tools show you what AI would say using your own website text — that's not real visibility. We run live buyer-intent queries against actual AI models and tell you if ChatGPT, Gemini, and Perplexity genuinely recommend you — or your competitors.
4
Live Buyer Queries Tested
per scan
5
Technical Signals Audited
robots, schema, trust…
30
Day Action Plan
AI-generated, week-by-week
0%
Fake Positives
honest brand mention rate
What you get in every free scan
Step 1 — Enter Your Website
Step 2 — Optional Configuration
Choose how we build the buyer search queries to probe AI engines.
✨ Auto mode: We read your page title, H1, and meta description to detect your commercial category, then build realistic buyer queries automatically — e.g. "What are the best [your category] tools?"
How this works, honestly: We query AI language models with real buyer-intent prompts and check if your brand appears in the response — the same way ChatGPT or Gemini would answer a customer's question. We do not generate fake mentions from your own page content. A score of 0% for a new brand is normal and accurate.
Audit actual citation and recommendation probabilities across OpenAI ChatGPT, Perplexity AI, Google Gemini, and Anthropic Claude.
Verify Organization, WebSite, and Product JSON-LD structured schemas to establish authoritative machine-readable entity links in LLM knowledge graphs.
Monitor verified global AI crawler traffic shares, crawl purposes (training vs. search), and edge HTTP response status codes directly via Cloudflare Radar.
Validate document chunk density (80-180 words/passage) and verify public discovery manifests (`/llms.txt` and `/llms-full.txt`) for generative RAG crawlers.
Identify commercial category queries where competitor alternatives win citations while your brand remains omitted from AI answers.
Instantly generate and download verified robots.txt AI directives, valid JSON-LD entity schema blocks, and ready-to-deploy `/llms.txt` markdown files.
Enter your target website URL and official brand name (with optional competitors and market region).
Our audit engine performs direct HTTP head crawls to inspect robots.txt bot rules, SSL/TLS, and JSON-LD entity structures.
Synthesize realistic high-intent buyer commercial queries and simulate real generative search prompts across selected AI engines.
Review your Technical AI Readiness score, empirical brand citation matrix, Cloudflare Radar crawler telemetry, and week-by-week 30-day GEO action plan.
Generative Engine Optimization (GEO) is the discipline of optimizing website content, technical architecture, and entity signals so AI models like ChatGPT, Perplexity, and Google Gemini can easily crawl, ingest, and cite your brand as an authority in conversational answers.
Unlike deceptive tools that fabricate mentions by simply replaying your website text, WebKernelAI runs authentic commercial queries. If an AI model has not yet ingested your brand as an established market player in its weights or index, a 0% mention rate is completely honest and expected — giving you an accurate baseline to improve from.
Cloudflare Radar aggregates live telemetry across millions of websites, showing which AI bots (such as Googlebot, ClaudeBot, and GPTBot) actively crawl the web, whether they crawl for search or model training, and how often edge firewalls block them.
An /llms.txt file is an emerging web standard that provides Large Language Models with a curated, concise Markdown manifest of your most important content, documentation, and pricing without requiring heavy HTML parsing.
Yes. Semantic schemas like Organization, WebSite, and FAQPage provide explicit relationship graphs that AI models use to disambiguate entities, verify business credibility, and formulate factual citations in real-time answers.
WebKernelAI tools use high-fidelity crawlers and security engines to provide actionable data for developers, SEOs, and website owners.