Audit. Build.
Implement.
Three steps. Then ChatGPT knows who you are.
Everything ChatGPT, Perplexity, Google AI Search and Claude need to understand you.
What ChatGPT, Perplexity
and Google AI Search
need to understand
your entity.
What is entity building and why does it matter for ChatGPT, Perplexity, Gemini and Claude?
An entity is a clearly defined, verifiable identity that AI systems can recognize, connect to facts and reference reliably. It is a structured object inside a knowledge graph and can describe an organization, a person, a service, a project or a client.
When ChatGPT, Perplexity, Gemini and Claude can identify your entity through structured data and verified external signals, they can describe you more accurately and are more likely to recommend you by name. Without clear entity signals, your organization remains harder for AI systems to classify.
How is entity building different from just adding schema?
Schema markup is one technical signal. Entity building is the complete construction of a recognizable, consistent and verifiable identity for AI systems.
A fully built entity connects your organization through structured data, knowledge graph references and verified external sources using signals such as sameAs. This helps AI systems understand who you are, what you do and why your organization is credible. Generic schema makes information readable. Entity building makes it clearly attributable.
Is my entity unique or based on a template?
The entity for your organization is unique. It is built from your actual work, people, discipline, clients, offers and external signals.
richresults.ai does not use templates for entity building. The structure is built from the real substance of your organization so AI systems do not classify you generically, but describe you specifically and verifiably.
What does the AEO process look like?
The AEO process consists of three steps. First: Portfolio Audit. We analyze your current AI visibility and identify signal gaps. Second: AEO Optimization. We build the entity layer with JSON-LD schema, entity descriptions, AEO copy and external signal alignment. Third: Full Implementation. Everything goes live directly on your website.
The result is a defined project with a complete deliverable. No open-ended retainer.
What is delivered at the end of an AEO engagement?
At the end, you receive a complete, implementation-ready package. It contains the signals AI systems need to understand, cite and recommend your organization correctly.
The package is built specifically for your entity, validated and prepared to go live. richresults.ai documents everything that was implemented so future updates for new services, new team members or new positioning remain straightforward.
How do AEO, GEO and LLMO connect?
AEO, GEO and LLMO describe different layers of the same task. AEO structures answers. GEO strengthens citability and recommendation context. LLMO improves model understanding of your entity.
All three layers are built on clear, consistent and verifiable entity signals. That is why entity building is the shared foundation.
Let's scope
your entity.
Tell us about your organization. We'll tell you what's possible and what needs to be built.