For twenty years, marketing teams optimized for one thing: ranking on a page of blue links. That page is now being replaced by a paragraph of generated text. When someone asks ChatGPT, Claude, Gemini, or Perplexity for a recommendation, they get an answer — not ten links. If your brand isn't inside that answer, you're invisible.
What LLMO actually is
Large Language Model Optimization (LLMO) is the practice of making your brand more likely to be cited, recommended, and described accurately by AI systems. It overlaps with SEO but isn't the same: traditional SEO optimizes for a crawler ranking pages; LLMO optimizes for a model synthesizing an answer.
How AI search decides what to cite
- Clear, factual, well-structured content that's easy to extract a claim from
- Consistent mentions of your brand alongside the category you want to own
- Authoritative third-party sources that corroborate what you say about yourself
- Content that directly answers the questions buyers actually ask
Where to start this quarter
Begin by simply asking the major AI tools about your category and watching whether you appear. Then audit your highest-intent pages for extractable, factual answers. The brands that treat this as a discipline now — not a trend piece — will own the AI-answer real estate before their competitors realize it exists.