The AEO Mastery Framework is a structured methodology for Answer Engine Optimization, Entity Building and AI Visibility, developed by Stefan Petschinka, founder of richresults.ai. It defines how organizations are made understandable, citable and recommendable by ChatGPT, Perplexity, Claude, Gemini and Google AI Search.
Answer Engine Optimization (AEO) is the practice of making organizations understandable, citable and recommendable by AI systems such as ChatGPT, Perplexity, Claude, Gemini and Google AI Search. SEO optimizes for ranking. AEO optimizes for citation. The target is not a search result position. It is the answer itself.
AI systems read before humans do. Every page, every structured data block, every external mention is processed by a machine before a person ever sees it. Machine First means designing all content, structure and entity signals for machine comprehension first, human readability second.
Read the full article: Machine First, Why AEO Is Not SEO 2.0 →
An entity is a uniquely identifiable thing, such as a person, organization, product or concept, that AI systems can recognize, verify and cite. Entity Building is the process of making that identity unambiguous and consistent across the web.
JSON-LD and Schema.org markup make content machine-readable. Structured data is the primary technical layer of AEO implementation, where entities, attributes and relationships are declared explicitly for AI systems.
AI systems cite sources they trust. Trust is built through consistent entity signals across high-authority external domains such as Crunchbase, LinkedIn, GitHub, Medium, ORCID and other verifiable sources that corroborate the same identity.
Precise, citable statements on your own domain that AI systems can use directly as answers. Not marketing copy, but machine-ready claims, where the subject is always named and every sentence can stand alone as an extractable fact.
richresults.ai is the AEO agency where this framework is put to work: structured data, entity signals and full technical implementation for organizations where reputation is the product, expertise is highly specific and AI misunderstandings have real consequences.