Generative Engine Optimization Utility Hub
Production-grade schema code, interactive protocol specifications, and empirical telemetry designed to help engineering and growth teams dominate AI search citations.
JSON-LD Schema Architecture for LLM Crawlers
Production-ready Schema.org structured data templates (SoftwareApplication, Product, Organization, FAQPage) engineered specifically for machine parsing by AI search bots (GPTBot, ClaudeBot, PerplexityBot).
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Enterprise GEO Platform", ...
}The llms.txt & Crawler Context Protocol
Best practices for implementing /llms.txt and /llms-full.txt in your apex web directory to provide high-density markdown context for modern generative crawlers.
# YourBrand Documentation\n> High-density summary for LLM context windows.\n## Core Documentation\n- [Platform Specs](https://...)
Q3 2026 AI Engine Market Share & Influence Index
Explore live empirical data across 2,700+ enterprise brands in the IndexLLM Brand Radar. Benchmark unprompted Share of Model (SOM), citation frequency, and algorithmic displacement across 10 sectors.
The 2026 Enterprise GEO Playbook
The definitive blueprint to Generative Engine Optimization. Covers citation network amplification, parametric weight grounding, and reversing competitor displacement in ChatGPT Search, Google AI Overviews, and Perplexity Sonar.
Put Theory into Practice: Run Your Brand's First Deep Audit
Get automated JSON-LD schemas and a personalized 3-phase GEO action plan generated specifically for your domain using our 12-Engine Cross-Model Crucible.