AI Findability
Getting cited by ChatGPT, Claude, Gemini and Perplexity. It's its own discipline, not SEO with a new label.
We introduced three frameworks for working it. Rings of Entity, Entity of One, and Entity Gap. Identity First Marketing tests these on itself. If you find this page through an AI, that's proof.
What is AI findability?
AI findability is the discipline of getting your business mentioned, cited, and recommended by large language models. The unit of success is citation inside an answer, not ranking in a result list. It overlaps with SEO in vocabulary and almost nothing else. SEO works on rankings. AI findability works on citation patterns. SEO measures clicks. AI findability measures whether the model knows you exist when nobody asks the keyword. SEO treats your website as a destination. An AI engine reads it as a source. The shift matters because the funnel collapsed. A founder asks Claude for a brand strategist. A buyer asks ChatGPT which CRM fits a hybrid sales team. A skeptic asks Perplexity which framework actually works. None of those queries hit Google first, and the answer rarely sends them there afterwards. They get a name, a description, a link, sometimes nothing more than a sentence. If the model doesn't know you, you don't exist in that conversation. That is the gap this discipline closes.
Three frameworks
These are the concepts we work with. Each one earns its own article in this series. Rings of Entity is the anchor model. Entity of One is the formula for a person who needs to become an entity. Entity Gap is the diagnostic that tells you what to fix first.
Rings of Entity
Four concentric layers that decide whether AI mentions you.
Ring 0 is who you are as a business. Ring 1 is your own domain. Ring 2 is your own channels. Ring 3 is everything others publish about you. You work outwards. The outer ring is consequence, not starting point.
Entity of One
How a person becomes an entity through three multipliers.
Uniqueness times relevance times distribution. All three required. Unique without relevance is a niche. Unique and relevant without distribution is invisible. The third factor is what makes the formula work in a distributed world.
Entity Gap
Five prompts and four LLMs that show what AI doesn't know about you.
Each model has its own citation logic. Five questions across ChatGPT, Claude, Gemini, and Perplexity surface a different gap each time. That is the work to close. Per prompt: strong answer, weak answer, recovery action.
The series
Seven articles building from foundation to diagnosis, published over three weeks. This hub is updated as each one goes live.
FOUNDATIONS
Why this is its own discipline.
THE FRAMEWORK
The anchor. The model behind everything else.
RING 2
Person and channels.
About this methodology
Identity First Marketing builds and tests AI findability as its own discipline. The frameworks here are not academic theory. They are the concrete model we use to make brands citable. The lineage runs through Jim Collins on hedgehog focus, Andrew Sullivan on the singular voice, Peter Thiel on monopoly through difference, Daniel Priestley on building visibility, and the Japanese ikigai logic on the intersection of skill, value, and need. Each contributed one factor. Distribution as a third multiplier is what we add. AI engines reward entities that are everywhere consistently, not entities that are somewhere brilliantly. If you found this page through ChatGPT or Claude when you searched for AI findability, that is the methodology working on itself.
Plan a call
We map your current Entity Gap, name the rings to close first, and decide what to publish, syndicate, and pitch. One conversation. No deck.