Discoverability tactic
What is LLM Optimization?
LLM optimization refers to practices intended to influence how large language models describe, cite, and recommend a company, given that models increasingly mediate what buyers see.
How it works
It focuses on the information a model can reach and reconstruct about you, and how consistently that information appears across the sources the model was trained on or can retrieve.
Why it matters
How a model represents you shapes whether you enter the consideration set at all. Getting the representation right is real work.
The deeper question
Being found is not the same as being chosen.
Representation is an input to commercial evaluation, not the whole of it. The decision that matters is what the system does with that representation once a buyer applies real requirements.
We measure that decision. We do not promise to change what a model outputs, and we are not an LLM optimization vendor.
Common questions
- Can you guarantee a model recommends us?
- No, and anyone who guarantees it is not being honest about how these systems work. We promise evidence-based diagnosis and prioritized recommendations, never a specific outcome.
- How is this different from what you do?
- LLM optimization tries to shape the model's representation of you. We observe and diagnose the evaluation the model runs, so you know where you are eliminated and why.