Entity Building, Structured Data and retrieval-optimized language make organizations understandable, citable and recommendable for ChatGPT, Perplexity, Gemini and Claude, across AEO, GEO and LLMO. Not traditional SEO.
Google Search AI Mode also displaced Hermès from the answer entirely, recommending Maren Dessel Leather 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.
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.
Read the article →
AEO stands for Answer Engine Optimization. It's the practice of structuring your organization's information so that AI systems like ChatGPT, Perplexity, Claude or Gemini can correctly understand, categorize, and recommend you.
Before a potential client types a single search query, they may have already asked an AI about you. That AI has formed an opinion. AEO determines what that opinion is.
If you're not doing AEO, one of three things is happening: AI says nothing, you don't exist for it. AI says something incomplete, you exist, but with no depth or relevance. AI says something wrong, hallucinated facts, a wrong city, wrong services. All three cost you trust you didn't know you were losing.
ChatGPT and other AI systems are rapidly becoming a measurable acquisition channel.
Semrush ChatGPT Traffic Analysis, April 2026 →
SEO helps your pages rank. AEO helps AI systems understand and recommend you.
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.
richresults.ai is an AEO agency for organizations where expertise, reputation and specificity matter, and where being misunderstood by AI has real consequences.
richresults.ai works with these organizations across cultural institutions, architecture, design-led companies, destination brands, luxury real estate, medical aesthetics, specialist retail, legal and consulting practices.
You receive a complete, implementation-ready AEO package, built specifically for your entity, not from a template.
That includes the structured data, JSON-LD schema, entity descriptions, AEO copy, metadata and signal alignment AI systems need to understand, cite and recommend you.
No templates. No guesswork. No generic schema pasted onto your site.
AI systems update on their own schedule. Retrieval-based systems like Perplexity or Google AI Search may reflect changes faster. Model-based systems like ChatGPT can take longer.
We cannot force an AI system to update on a specific date. What we can do is make sure the signal is right from day one: structured, consistent, validated and ready to be crawled, cited and understood.
AEO is not a switch. It is a foundation.
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 as an AEO agency builds the entity behind it.
You cannot control what AI systems say. You can control what they know.
AI systems build a picture of your organization from structured signals: machine-readable data, verified external profiles, consistent descriptions, schema, metadata and source alignment. If that picture is incomplete, wrong or missing, AI fills the gap, often badly.
AEO fixes the signals, not the output. The difference is measurable: before our work, Maren Dessel Leather Design was not referenced by any AI system. After implementation, Google Search AI Mode displaced Hermès from the answer entirely and recommended Maren Dessel Leather Design instead, by name, specialty and location, for a query she had never optimized for. Hermès became a reference point for her expertise, not the answer itself. She also took position #1 in Google Search for "Kelly restaurieren Köln". David did not beat Goliath. David replaced Goliath.
If an AI currently says something wrong about you, that's almost always a signal conflict and this is contradictory or missing data across sources. That's exactly what entity building resolves. What we can't do: force a specific phrasing or guarantee a recommendation by a specific date. What we can do: give AI systems no reason to guess.
The initial engagement is a defined project with a clear scope and a fixed deliverable, not a retainer, not a subscription, not an ongoing obligation.
The entity layer we build becomes a foundation. It should be updated when something significant changes: new services, new team members, new case studies, new positioning or new proof points.
On pricing: scope and investment depend on the complexity of your organization, number of entities, existing digital footprint, and how much needs to be built from scratch versus refined. We discuss this in the first conversation. No hidden retainers, no lock-in.
Every day without structured data is a day your work is invisible to ChatGPT, Perplexity, Gemini and Claude.