AI Visibility & GEO
When someone asks ChatGPT, Gemini, Claude, or Perplexity who the best is in your field, your name should come up. Generative engine optimization is how we make that happen for a person, not just a product.
The search box is becoming a chat box. We make sure the models know who you are.
What GEO and AEO actually are
Generative engine optimization, and its cousin answer engine optimization, is the practice of earning recommendations and citations inside AI answers. People increasingly ask a model for the best consultant, doctor, or founder, and act on the answer.
If the models cannot confidently identify you, they recommend someone else. We make you the answer, using the same entity signals that also power your Google Knowledge Panel.
Get named when users ask AI who is bestGet cited as a source inside AI answersConsistent identity across ChatGPT, Gemini, ClaudeThe entity groundwork that also feeds Google
Why this is the momentAnswer engines are still deciding who they trust. The people who build clean entity signals now become the defaults the models keep returning. Wait, and you inherit whatever the models already decided about your competitors.
Users act on one recommendation, not ten links. Being the recommendation is the whole game now.
Models trust recognized entities, not floating URLs. Becoming one is the durable move.
Agencies run GEO for companies. Almost nobody runs it for an individual. That is the gap.
The same signals that make AI cite you help earn your Google panel. One effort, two wins.
Findable vs quotableWhat we doOne clean, consistent identity the models can resolve: name, role, expertise, and the facts that define you.
The authoritative, third-party sources AI reads as proof, so the models have something credible to quote.
Structured data and answer-shaped content so engines can lift and attribute you cleanly.
Tracking how you show up across ChatGPT, Gemini, Claude, and Perplexity, then tightening the gaps.
Every day, an AI engine answers a question about your field and picks names to trust. Those picks harden into defaults. This is not a someday problem. It is being decided now, with or without your input. GEO is how you get a vote.
Show up when users ask AI who is best.
Be the source the answer is built on.
Early entity signals become durable defaults.
Who this is forYou want to be named when a buyer asks an AI for the best in your niche.
You want the models to describe you accurately, not guess or confuse you with someone else.
You want your ideas cited, with your name attached, inside AI answers.
Proof, in their wordsTheir work across SEO and LLMO, Google Knowledge Panel optimization, and inclusions in ChatGPT and other LLMs is thoughtful and precise.
They seamlessly connect SEO and LLMO, Knowledge Panel strategy, and inclusions in ChatGPT into one coherent presence.
Rare clarity and long-term thinking that turns expertise into undeniable authority.
Questions people askNo honest provider can guarantee what a model outputs. What we can do is build the entity signals, citations, and structured content that give the models a clear, credible reason to name and cite you, and then track and improve it. Anyone promising a guaranteed result is bluffing.
It overlaps but aims further. SEO ranks pages for humans. GEO shapes how AI engines understand and recommend you. We run both, because the same entity work strengthens each.
The ones people actually use to decide: ChatGPT, Google Gemini and AI Overviews, Claude, and Perplexity. The underlying entity work generalizes across them.
Tightly. The entity definition, citations, and structured data that make AI cite you are the same signals Google reads to consider a Knowledge Panel. We build them once and point them at both.
Book a free 20-minute call. We will show you how AI describes you today and what it would take to make you the recommendation.
