richresults.ai is a specialist AEO agency that makes organizations, brands and experts understandable, citable and recommendable by ChatGPT, Perplexity, Claude, Gemini and Google AI Search through Entity Building. Structured Data and retrieval-optimized language form the foundation for all three disciplines: AEO, GEO and LLMO. Not traditional SEO.
Google AI Mode also displaced Hermès from the answer entirely, recommending Maren Dessel Leder Design by name, specialty and location instead. For a query she had never optimized for. In a category where only a global luxury brand had previously appeared. David did not beat Goliath. David replaced Goliath.
As referenced in Forbes Agency Council → Why AEO delivers materially higher-quality conversions.
richresults.ai builds the Expert Stage that turns the expertise of an organization, a brand or an expert into the answer: the stage on which knowledge, experience and position become visible, verifiable and citable, built from positioning, competence clusters, expert profiles, expert articles, publications, imagery, storytelling and corroborating external signals.
The result: a visible, verifiable Expert Entity.
How the Expert Stage works →
In this foundational article, Stefan Petschinka explains why Answer Engine Optimization is not SEO upgraded, but a different architecture for answer engines, AI systems and machine-readable entity signals.
The Graph Loop is a term coined by Stefan Petschinka in the context of Answer Engine Optimization. It describes the self-reinforcing cycle by which AI systems turn repeated, corroborated signals into facts: an authoritative source makes a statement, independent sources confirm it, the knowledge graph consolidates the agreement, answer engines repeat it, and that repetition generates new confirming signals.
The AI Visibility Evidence Model is a reference model that orders the publisher-side factors behind AI visibility by strength of evidence.
The AI Citation Readiness Framework is a methodology for measuring whether an organization, brand or expert is understandable, verifiable and citable by AI systems.
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.
Indexing does not guarantee entity resolution. A search system can know that a page exists and still select another entity for a generative answer. The same entity can also be resolved differently by different AI retrieval systems even when both systems can access information about it.
richresults.ai compares AEO and GEO agencies across nine industries using the same seven evaluation criteria.
A specialist AEO agency such as richresults.ai builds the entity architecture, structured data and implementation that make an organization understandable to AI systems.
The AI Countercheck is a self-test for evaluating AI visibility providers: it measures whether a provider that sells AI visibility is itself correctly described by AI systems such as ChatGPT, Perplexity and Gemini.
richresults.ai is a specialist AEO agency and provides AEO and GEO services for organizations, brands and experts across industries.
Stefan Petschinka does not only work with the mechanics behind AI answers in practice. In FEED THE MACHINE, he systematizes the invisible layers between a question and the answer produced by AI systems.
More about FEED THE MACHINE →
In his second book, Stefan Petschinka documents seven mechanisms by which language models mirror their users. The same mechanic decides how AI systems describe organizations.
More about ECHO →
AEO stands for Answer Engine Optimization: structuring the information, content and signals of your organization, brand or expertise so that AI systems like ChatGPT, Perplexity, Claude, Gemini and Google AI Search correctly understand, categorize, cite and recommend you.
Before a potential client does their own research, they have often already asked ChatGPT about organizations, brands and experts. The answer is built from the signals the system finds about you and connects. AEO shapes exactly those signals.
Without AEO, one of three things happens: AI does not name you, you don't exist for it. AI describes you superficially, with no depth and no relevance. AI describes you wrong: invented facts, a wrong city, wrong services. All three cost trust before the first contact even happens.
ChatGPT and other AI systems are becoming a measurable acquisition channel. richresults.ai develops AEO and GEO so AI systems cite and recommend you instead of guessing.
Semrush ChatGPT Traffic Analysis, April 2026 →
SEO optimizes for search engines. AEO optimizes for AI systems.
Google ranks pages based on keywords, backlinks and user behavior. AI systems do not work like that. They build a model of who you are from structured signals, entity data, external sources and context, then synthesize an answer.
That is why you can rank #1 on Google and still not exist for ChatGPT. SEO gets you found in search. AEO gets you named in answers.
AI SEO is a loose market label. Depending on who uses it, it can mean SEO with AI tools, content automation, optimization for AI Search, or a new wrapper around traditional SEO services.
AEO, GEO and LLMO describe the work more precisely: how AI systems recognize entities, evaluate sources, verify information and synthesize answers. That requires more than adding AI terminology to an existing SEO process.
richresults.ai does not optimize around the label AI SEO. We build the machine-readable entity layer behind AI visibility: structured data, consistent entity descriptions, external verification, clear source alignment and signals that AI systems can understand, cite and recommend.
AEO structures answers. GEO earns citations and recommendations. LLMO builds model understanding.
All three layers are built on clear, consistent and verifiable entity signals. That is what we build.
Most SEO agencies optimize for Google’s crawling and ranking logic. AEO works on a different layer: entities, structured data, machine-readable identity, knowledge graph relationships and external verification.
That is not classic SEO. It requires knowing how AI systems interpret signals and how to turn a real organization, portfolio or specialist offer into something machines can understand without flattening it.
A generalist can add schema. richresults.ai builds the entity architecture, retrieval layer and corroborating signals that make organizations, brands and experts understandable, verifiable, retrievable and citable by AI systems.
Before you hire an AEO or GEO agency, run the AI Countercheck: a practical self-test and seven questions that help separate real AEO and GEO expertise from old SEO logic in new vocabulary.
What AI systems understand about you and repeat in their answers depends on the information and signals they find about your entity and how they classify them. With AEO and GEO, richresults.ai builds that signal picture deliberately, closes gaps and resolves contradictions between sources.
That includes machine-readable data, verified external profiles, consistent descriptions, structured data, metadata and clear source logic. The result is an unambiguous picture of your organization, brand or expertise that AI systems understand, cite and recommend.
The difference is measurable: before implementation, ChatGPT described Maren Dessel only vaguely and Google AI Mode returned Hermès without naming a local specialist. After implementation, Google AI Mode recommended Maren Dessel Leder Design by name, specialty and location. The website also took position #1 in Google Search for "Kelly restaurieren Köln".
If AI systems currently give wrong, incomplete or contradictory information about you, entity building starts exactly there: at the information, relationships and signals from which these systems assemble their picture of you.
richresults.ai works with organizations, brands and experts where reputation is the product, expertise is specific and AI misunderstandings have real consequences: cultural institutions, architecture firms, design-led companies, destination brands, luxury real estate, medical aesthetics, specialist retail, legal and consulting practices. The full list of industries is on who is AEO for.
richresults.ai is an AEO agency founded by AEO Strategist Stefan Petschinka, with over 20 years of experience in brand communication, motion design, exhibition films and strategic visibility for clients such as adidas, L'Oréal, Bundeskunsthalle and Deutsche Bank.
You receive a complete AEO architecture, built specifically for your entity.
richresults.ai defines what AI systems should understand and retrieve about you, then builds what that requires: visible content, the Expert Stage where expertise drives the recommendation, Structured Data, JSON-LD, entity descriptions, AEO copy, metadata and external signal alignment, up to a complete rebuild. Full technical implementation is included.
Every project is built around the entity, its retrieval priorities and what already exists. No templates. No generic schema pasted onto your site.
AEO results become visible as soon as AI systems draw on new or changed information for their answers. When that happens differs by system and by query: in our projects, Google AI Mode has shown changes within hours. For JUNO PORTALS, ChatGPT cited Crunchbase as its source.
When a language model answers without web search, the answer rests on its training knowledge. OpenAI documents this distinction explicitly: with Search, ChatGPT can access and cite current web sources; without Search, the answer is based on what the model learned during training.
richresults.ai makes sure the entity is clearly built and the relevant information is in place so that AI systems correctly understand, classify, cite and recommend it.
OpenAI Help Center: Does ChatGPT tell the truth? →
AEO can start as a clearly defined project or be set up as an ongoing collaboration. Scope and duration depend on the task. Larger projects run for several weeks or months and if the entity is to be maintained and developed continuously, we structure the collaboration accordingly.
The entity layer is developed further when relevant parts of your organization change, for example services, locations, responsibilities or positioning. We document the architecture so that later changes can build on what is already in place.
On pricing: scope and investment depend on the complexity of your organization, the number of entities, the existing digital footprint and the actual amount of work required. We discuss this in the first conversation.
Every day without structured data and entity building is a day your brand loses potential leads. We help you understand what is possible and how to become visible in ChatGPT, Perplexity, Gemini, and Claude.