GEO-Fix
Lead System Architect & Engineering Lead: Augustin Olarian
System Architecture & Core Engineering Innovations
- 600+ Technical & Semantic Audit Engine: Evaluates crawlability for AI bots (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot), server response latency, semantic HTML hierarchy, and entity disambiguation.
- Multi-Model Citation Probing: Actively queries ChatGPT, Gemini, Claude, and Perplexity across industry buyer prompts to measure baseline brand recommendation share and competitor citations.
- Automated JSON-LD Entity Graph & Manifest Generation: Builds linked Schema.org graphs (Organization, Person, Service, SoftwareApplication, FAQPage, TechArticle) and factual answer blocks designed for RAG ingestion.
- Production Deployment & Continuous Citation Telemetry: Applies optimizations directly to production sites and tracks longitudinal citation growth across AI answer engines.
Technology Stack & Infrastructure
Production Scope Note: The complete production system is significantly larger and encompasses additional operational subsystems; the video walkthrough and this case study highlight selected core architectural innovations.
Technical Architecture FAQ
Generative Engine Optimization (GEO) is the engineering discipline of structuring websites, entity graphs, and verifiable facts so AI engines like ChatGPT, Perplexity, Gemini, and Claude cite your brand as the authoritative answer. GEO-Fix automates this via 600+ checks, JSON-LD generation, and live LLM citation probing.
Unlike static audit tools, GEO-Fix generates ready-to-deploy JSON-LD schemas, AI crawler rules, and factual answer capsules that are applied and verified directly in production.