Make organisation data consistent
Check brand, service names, contacts, locations and responsibilities across owned pages.
No invented certifications or awardsLLMO groups practices for explaining an organisation, its expertise and its services clearly to language-model-based systems. It does not mean secretly rewriting another provider's model.
Meaning · Knowledge · Consistency
Consistent facts about your services, identity and expertise.
Check brand, service names, contacts, locations and responsibilities across owned pages.
No invented certifications or awardsUse understandable definitions, meaningful differences and concrete examples for each core service.
No text stuffed for a single modelGive original sources, genuine authorship and documented corrections where appropriate. Remove contradictory outdated claims.
Accuracy before artificial freshnessTest varied prompts across sessions and dates. A model answer does not prove its underlying training data changed.
No promises about model memoryRecord the technical and content starting point.
Implement prioritised, reviewable changes.
Track results and limitations over time.
Consistency of verified organisation data, evidence quality, unambiguous descriptions and documented model-answer observations.
AI systems choose their own retrieval and citations. Observed answers can vary by wording, platform and time.
No. Model providers control training. Website changes do not reliably change a third-party model's internal knowledge.
No. LLMO is an industry term, not an established standalone Google ranking factor.
They help users verify claims and clarify the underlying expertise, even if AI citation cannot be compelled.
We start with your audience, selected pages, available search data and real customer questions, without promising rankings.