LLM Brand Optimization
LLM Brand Optimization (LLMO) is the practice of improving your brand's representation in large language model training data and outputs. It's the AI-era evolution of SEO.
The LLMO Framework
LLMO operates across three layers: presence (can AI find information about you?), authority (does AI trust that information?), and relevance (does AI associate you with the right queries?).
Most brands score poorly on all three without realizing it. The good news: each layer is improvable with targeted actions.
Layer 1: Presence — Be Findable
- ✓Create or enhance your Wikipedia page with accurate, well-cited information
- ✓Build profiles on all major review platforms in your category
- ✓Get mentioned in industry publications, podcasts, and roundups
- ✓Publish press releases on wire services that get indexed widely
- ✓Ensure your Crunchbase, LinkedIn, and company pages are complete
Layer 2: Authority — Be Trusted
- ✓Earn backlinks from high-domain-authority news sites
- ✓Get quoted as an expert in industry publications
- ✓Publish original research that other sources cite
- ✓Maintain consistent, accurate information across all sources
- ✓Respond to and accumulate positive reviews on trusted platforms
Layer 3: Relevance — Be Associated
- ✓Create FAQ content covering every question buyers ask about your category
- ✓Publish comparison pages (Your Brand vs Competitor)
- ✓Use natural language that mirrors how people query AI assistants
- ✓Implement FAQ and Product schema markup on your website
- ✓Create content around high-intent queries in your industry
Measuring LLMO Progress
LLMO without measurement is guesswork. You need a baseline score, tracked monthly, across multiple AI models. Your score tells you which models include your brand and which don't — giving you a precise, model-specific optimization target.
Brands that combine LLMO actions with monthly tracking see average score improvements of 15–30 points within 90 days.