Large Language Model Optimization (LLMO)

LLMO — large language model optimisation — is the practice of making a website legible, quotable and trustworthy to the large language models behind AI assistants. It is the newest of three names for substantially the same work. Answer engine optimisation (AEO) and generative engine optimisation (GEO) arrived first, and all three circle a single question: when a machine reads your site, can it understand your business well enough to repeat it to a stranger?

The proliferation of names is a symptom of how young the field is. Several vendors coined several words at roughly the same moment and none has won. Anyone presenting these as three distinct disciplines requiring three distinct retainers is selling vocabulary.

Where there is a genuine difference of emphasis, it is one of framing. LLMO leans toward the model itself — how a system that learned from enormous quantities of text comes to hold an idea of what your business is, whether from pages it reads at the moment of the question or from what it absorbed during training. In practice, the actions that follow are the same actions.

Those actions are unglamorous and, importantly, finite. Let the crawlers in. Say plainly what you do, where, and for whom. Answer real questions in the first sentences rather than the fifth paragraph. State checkable facts instead of adjectives. Label those facts so nothing has to be guessed. Exist in other people's writing. That is the whole list, under any of the three names.

The human translation is that the trade has not agreed on a word yet, which is normal for something this new and is not a reason to feel behind. Learn the work rather than the acronyms. The acronyms will keep changing; the work will not.