Frequently Asked Questions
Common questions about Generative Engine Optimization, the 8-signal framework, AI citations, and GEO infrastructure.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of structuring a website so that AI-powered systems — such as ChatGPT, Claude, Gemini, and Perplexity — can understand, trust, and cite its content. Unlike traditional SEO, which optimizes for search engine result page rankings, GEO optimizes for inclusion in AI-generated answers and recommendations.
How does GEO differ from SEO?
SEO focuses on ranking in traditional search engine result pages (blue links on Google). GEO focuses on being cited in AI-generated responses. SEO relies heavily on backlinks and keyword optimization; GEO relies on structured data, clean-room HTML, content authority, and AI surface files. Both are valuable — they address different discovery channels.
What are AI citations?
AI citations occur when an AI system like ChatGPT, Claude, or Perplexity references your website or business by name in a generated response. When a user asks an AI assistant a question and it recommends your business or links to your content, that is an AI citation. GEO infrastructure increases the likelihood and frequency of these citations.
What is clean-room HTML?
Clean-room HTML is server-rendered, framework-free HTML served specifically to AI crawlers. Most modern websites use JavaScript frameworks (React, Vue, Angular) that render content in the browser. AI crawlers do not execute JavaScript, so they cannot see this content. Clean-room HTML provides the same content in a format AI systems can parse directly.
What is the 8-signal GEO framework?
The 8-signal framework measures a website's AI-readiness across eight dimensions: (1) Structured Data — Schema.org JSON-LD markup, (2) Crawlability — server-rendered HTML accessible to bots, (3) Bot Crawl Activity — actual AI crawler visits, (4) Content Authority — depth and expertise of content, (5) Citation Patterns — current AI citation frequency, (6) Performance — server response times, (7) AI Surface Files — llms.txt, ai-content-index.json, etc., (8) Protocol Support — HTTP/2, HTTP/3, SSL configuration.
What is a GEO score?
A GEO score is a composite metric (0-100) that quantifies how well a website is optimized for AI citation. It is computed as a weighted average of scores across the eight GEO signal dimensions. Each dimension is scored independently and tracked over time to measure improvement.
What are AI surface files?
AI surface files are specific files that AI systems look for when indexing a website. These include llms.txt (a human- and AI-readable description of your site for LLMs), robots.txt (with explicit Allow directives for AI crawlers), sitemap.xml (with accurate lastmod dates), ai-content-index.json (a structured index of your content), and MCP manifests (.well-known/mcp.json).
Which AI crawlers does GEO target?
GEO infrastructure targets all major AI crawlers: GPTBot and ChatGPT-User (OpenAI), ClaudeBot and Claude-Web (Anthropic), Google-Extended (Google AI), PerplexityBot (Perplexity), Bingbot, Applebot, Amazonbot, Meta-ExternalAgent, YouBot, DuckAssistBot, and cohere-ai. Robots.txt is configured to explicitly allow all of these crawlers.
How long does it take to see GEO results?
Initial infrastructure changes (clean-room HTML, structured data, AI surface files) can be implemented in days. AI crawler activity typically increases within one to two weeks as bots discover the improved content. Measurable citation improvements depend on crawl frequency and content authority, but significant GEO score improvements are often visible within the first week of implementation.
Does GEO work for any industry?
Yes. GEO infrastructure is industry-agnostic because it addresses the technical layer of AI visibility. The 8-signal framework applies universally — every website benefits from structured data, clean-room HTML, and proper AI surface files. The content authority signal is the most industry-dependent, as it requires domain-specific expertise in the published content.