B2B buyers are increasingly turning to AI assistants like ChatGPT, Gemini, and Perplexity to research vendors, compare products, and make purchase decisions. If your brand isn't being recommended in these conversations, you're losing deals you may never even know about.
What is LLMO?
Large Language Model Optimisation (LLMO) is the practice of ensuring your brand is accurately represented, positively positioned, and actively recommended by AI models when users ask relevant questions. While GEO covers the broader AI search ecosystem, LLMO focuses specifically on how large language models understand and represent your brand.
The three pillars of LLMO success
The key to LLMO success lies in three areas: authoritative content that AI models can learn from, structured data that helps models understand your offerings, and a consistent brand presence across the sources that LLMs draw from, including your website, industry publications, and review platforms.
Why B2B stakes are higher
For B2B companies, the stakes are particularly high. Enterprise purchase decisions often start with research, and AI assistants are becoming the default research tool. Being absent from AI-generated recommendations means being absent from the earliest stage of the buyer's journey.
Getting started
Getting started with LLMO doesn't require a massive investment. Start by auditing your brand's current AI presence. Ask major AI platforms about your industry and see where your brand appears (or doesn't). Try our AI Visibility Audit for a quick assessment. Then focus on creating structured, authoritative content that clearly articulates your expertise and differentiators.
Ready to ensure your B2B brand is visible to AI? Get in touch with our team.
