LLMO
Short answer
LLMO (large language model optimization) is the practice of shaping what a language model knows and repeats about a company. It works on entity resolution, on content structured so passages can be extracted intact, and on corroboration across independent sources — because a model answers from what it holds about named organisations, not from a ranked list.
Ranking puts you in a list. LLMO decides whether a model names you at all.
What the engagement covers
- Entity resolution
- One organisation node, one named person, one consistent name and address, declared in structured data and echoed on independent profiles.
- Extractable structure
- Self-contained answer blocks, question-form headings, comparison tables and one concrete fact per section.
- Corroboration
- Directories, review platforms, communities and coverage. The slowest lever and the one that actually decides the outcome.
- Monthly measurement
- A fixed prompt set re-run across five answer surfaces, with verbatim answers archived and dated.
How it runs
- Baseline: what the models say about you today, recorded before anything changes.
- Technical: server-rendered HTML, crawler access, structured data graph.
- Content: rewrite the commercial pages so passages survive extraction.
- Corroboration: build the external profiles the models already trust.
Frequently asked
Is LLMO different from AEO?
They overlap almost completely. AEO describes the objective — being named inside a written answer. LLMO describes the object being worked on — what the model holds about your entity. The work is the same sequence in both cases.
How long before it moves?
The technical and entity layer is weeks and is inside your control. Mention rate moves over quarters, because it depends on sources you do not own. Anyone offering a date is guessing.
Can you guarantee ChatGPT will recommend us?
No, and nobody can. What we can do is measure where you stand, remove the reasons a model cannot name you, and show the change month over month.
Contact us
Send us the brief or book a short call. You get concrete next steps in reply.