The discovery stack for AI-native products.
SEO, AEO, GEO, A2A — four layers that decide whether humans, answer engines, generative models, and autonomous AI agents can all find and use your product. Field guides, definitions, and how Relm applies each one.
What Is Answer Engine Optimization (AEO)?
Answer Engine Optimization structures content so AI answer engines — ChatGPT, Perplexity, Google AI Overviews — quote it as THE answer. How AEO differs from SEO, and how to do it.
What Is Generative Engine Optimization (GEO)?
GEO is optimizing to be the source generative AI models cite and recommend. How GEO works, how it differs from SEO/AEO, and the role of llms.txt.
Agent-to-Agent (A2A) Optimization: Making Your Product Callable by AI Agents
A2A optimization makes your product discoverable and usable by autonomous AI agents via MCP, agent cards, and .well-known manifests. The 2026 playbook.
SEO Isn't Dead — It's the Foundation for AEO, GEO, and A2A
Classic SEO still matters, but in 2026 it's the base layer under answer engines, generative models, and AI agents. How the discovery stack fits together.
What Is a CRM for LLMs?
A CRM for LLMs is a customer database designed to be operated by AI agents through an API and MCP — not a sales-rep UI. What defines the category.