Recommendation moments
Discoverability happens when a user crosses from gathering information into choosing where to go, buy, book, or contact.
Applied LLM Research
Category
LLM Discoverability is the moment an AI system decides a website is the right destination for a user ready to act.
It is the outcome layer where a model moves from understanding a website to recommending it.
Framework
Discoverability is not about being present in the model’s awareness. It is about becoming the destination the model selects when the user is ready to act.
Discoverability happens when a user crosses from gathering information into choosing where to go, buy, book, or contact.
A model recommends the site that best fits the user’s desired outcome, not necessarily the site with the most generic relevance.
Recommendation depends on whether the model has enough confidence in the website to route a user there instead of staying inside the chat.
Start Here
Start with the definition, then move into the outcome model and the live research that shows what recommendation behavior looks like in practice.
Foundation
Discoverability is not whether the model can see a website. It is whether the model recommends it when a user is ready to act.
Read the articleWhy It Matters
Evidence
One essay explains the outcome model. The research shows what recommendation behavior looks like when tested against a live website.
Theory
Outcome alignment is what makes a website the right answer in a recommendation moment.
Read moreResearch
A live experiment showing how citation, completion gaps, and structural signals affect when a website gets recommended.
Read moreFramework Path
Discoverability is the last step. It only happens after a site is structurally legible and visible enough for the model to trust.
Step 1
Structure gives the model a machine-readable version of the website to work from.
Explore LLM StructureStep 2
Visibility determines whether the model can parse, understand, and verify what the website is claiming.
Explore LLM VisibilityStep 3
Discoverability is the point where the model decides the website is the right destination for the user.
You are hereArchive
Category essays, theory, and research on how websites become the destination a model recommends.
Foundation
Discoverability is not whether the model can see a website. It is whether the model recommends it when a user is ready to act.
Read moreTheory
Outcome alignment is what makes a website the right answer in a recommendation moment.
Read moreResearch
A live experiment showing how citation, completion gaps, and structural signals affect when a website gets recommended.
Read more