What is LLMO (Large Language Model Optimization)?
LLMO (large language model optimization) is optimizing your brand and content to be represented accurately and favorably by large language models — overlapping heavily with AEO and GEO.
Also known as: LLMO
LLMO widens the lens from "the answer" (AEO) and "the generative engine" (GEO) to the model itself: how an LLM represents your brand, whether from its training knowledge or from live retrieval. That includes being named, being cited, and being described correctly.
Because models learn from the public web, LLMO is largely about what the web says about you: the breadth and consistency of mentions, the authority of the sources, and the clarity of your own content. Thin or contradictory information about your brand produces thin or wrong answers.
LLMO is often used as the umbrella term by consultancies; functionally it is measured and improved with the same tools as AEO and GEO.
Is LLMO just a rebrand of AEO/GEO?
Largely yes. It emphasizes the model’s overall representation of your brand rather than a single answer, but the measurement and authority-building work overlap almost entirely.
How do I influence what an LLM knows about my brand?
Shape the public record: consistent, accurate information across your site and third-party sources, plus the entity authority that makes models trust and reproduce it.
AI Brand Visibility & Citations — ChatGPT, Perplexity, Gemini measures your visibility, share of voice and citation rate across ChatGPT, Perplexity and Google AI Overviews — no code, pay per run.
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