The Technical Execution Layer
GEO is not a content-only discipline. It is an infrastructure race. To get cited by the Big Four (SearchGPT, Perplexity, Gemini, Claude), your technical foundation must be optimized for Machine Parsing Velocity.
Phase 1: Infrastructure Optimization (Edge SEO)
LLM crawlers (like GPT-User) are compute-heavy. If your site takes 2.5 seconds to render a JavaScript bundle, the LLM will fail to extract data.
The 200ms TTFB Rule Your Time to First Byte (TTFB) should be under 200ms across all global nodes. We recommend moving to an Edge SEO Architecture using Vercel Edge or Cloudflare Workers to serve static, pre-rendered HTML content directly to AI agents.
Phase 2: DOM Flattening
Traditional SEO favors semantic nested tags. GEO favors Information Density. A flattened DOM reduces the "token noise" for an LLM's context window.
Action: Strip unnecessary wrapper divs and tracking scripts from your mobile-agent version served to LLMs. Aim for a 50%+ Text-to-HTML ratio.
Phase 3: Semantic Grounding with JSON-LD
| Technical Pillar | SEO Requirement | GEO Optimization |
|---|---|---|
| Rendering | SSR / CSR | Static Export (SSG) |
| Latency | <500ms (LCP) | <200ms (TTFB) |
| Structure | Semantic HTML5 | Flattened DOM + JSON-LD |
| Schema | Basic Article | Nested FAQ + Mentions |
The "Machine Readable" Content Structure
Use the Inverted Pyramid content structure for all technical pages. Start every page with a high-density 'Direct Answer' block. This block should contain at least 2 specific statistics or unique data points (e.g., "Implementation reduces latency by 45%") to trigger the Statistic Monopoly citation hook.