Definition
What is LLMO?
LLM Optimization (LLMO) is the practice of engineering your brand’s presence inside large language models — ChatGPT, Gemini, Claude, Perplexity, and others. The goal is ensuring these AI models accurately represent, recommend, and cite your brand when users ask questions in your category.
LLMO vs. traditional SEO
Traditional SEO earns a position in a ranked list of links. LLM Optimization earns selection — being the answer an engine extracts, cites, or recommends. The two compound: the structural and authority work that ranks pages is the same foundation answer engines and AI models draw from. WKND runs them as one program rather than competing channels.
LLMO — common questions
What is LLMO?
LLM Optimization (LLMO) is the practice of engineering your brand’s presence inside large language models — ChatGPT, Gemini, Claude, Perplexity, and others. The goal is ensuring these AI models accurately represent, recommend, and cite your brand when users ask questions in your category.
Can you actually influence what ChatGPT says about my brand?
Yes, through strategic optimization of the sources LLMs draw from. AI models build their knowledge from web content, publications, reviews, and structured data. By optimizing these sources and building strong entity signals, we influence how LLMs understand and recommend your brand.
How do you measure LLMO results?
We systematically query AI models about your brand, products, and category — tracking mention frequency, sentiment, recommendation positioning, and accuracy over time. We also track AI-referred traffic and conversions to connect LLM visibility to business outcomes.