Content Completeness
Does your site answer the questions a model needs? Hours, location, services, expertise — the specifics that remove guessing. If a model can't find it, it can't recommend you.
Context Alignment
Does your content match the scenario in front of the model — not just contain relevant keywords? A food truck that displays hours gets recommended over one that says “call for hours.”
Trust Signals
Verifiable signals outside your own site: directory listings, social profiles, contact methods that confirm you're operational. The more signals, the more credible.
Chat Bias
Conversational momentum and personalization affect what the model surfaces. Understanding how chat bias works lets you pressure-test outputs and control what gets recommended.
Why it matters
A well-structured site that lacks visibility is invisible to AI. Content without trust signals is just a claim. Visibility is the layer that turns structure into eligibility — and eligibility is the prerequisite for discovery.
Next: AI Discoverability →What Is LLM Visibility?
Visibility is the foundation: whether a model can find, read, and trust what it knows about a website.
AI VisibilityThe fundamental misunderstanding of context in an AI world
Context determines whether a website fits the user in front of the model. Content alone does not.
AI VisibilityHow to control chat bias
Chat bias combines personalization and conversational momentum. Learn how to pressure-test outputs and control both.