Core concepts
What is LLMO?
LLMO, or large language model optimisation, is work intended to improve how language-model-based systems understand and represent information.
The label overlaps with other approaches to improving visibility in generated answers. Its scope varies and can include content clarity, entity information and supporting evidence.
Changing a website does not directly rewrite a model's training. Whether a change affects answers depends on how the system obtains information.
In Seenford
For Seenford, this means comparing matched weekly checks before and after a recorded fix, and only reporting movement beyond normal week-to-week variation when enough comparable evidence exists.
Example
A business corrects conflicting descriptions of its main service.
Related terms
Updated
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