LLM Visibility
What Does AI Understand?
A site can be perfectly structured and still invisible. If a model can parse every heading and schema definition but builds a vague or inaccurate picture of what an organization does, it will never surface in the right conversations.
Visibility is the accuracy of a model's internal representation. When a page says "we help businesses transform," the model can read it — but it has nothing useful to store. When a page says "we build inventory replenishment systems for mid-market retailers," the model knows exactly what to do with that. One is legible. The other is understood.
Most organizations are perfectly crawlable and completely misunderstood. Visibility is the gap between being read and being known.
Read All Articles View Live DataWhat Drives Visibility
Four patterns determine whether a language model builds an accurate representation of a site:
Published Research
Articles exploring how AI models interpret, represent, and surface organizations — and what structural patterns drive accurate visibility.
The Difference Between SEO and LLM Visibility
SEO and LLM visibility share the same foundation. Where they split is what determines whether you show up in AI-generated answers or not.
Continue reading →Why Your Brand Is Invisible to ChatGPT
There is no single reason a brand is invisible to AI models. There are many, and finding yours requires a diagnostic, not a checklist.
Continue reading →How AI Answer Engines Decide What to Surface
AI answer engines are not search algorithms. Understanding how they actually work changes everything about how you build for visibility.
Continue reading →