Documentation Index
Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
Use this file to discover all available pages before exploring further.
Methodology · AI Search Infrastructure
Definition
LLMO — Large Language Model Optimization — is the practice of optimizing content, entity signals, and brand infrastructure specifically to improve how a brand is represented and cited within LLM-generated outputs. It is the discipline that sits at the intersection of traditional SEO, entity optimization, and content strategy.
Why It Matters for AI Search
LLMO is what Plate Lunch Collective does. It is the recognition that LLMs are now a primary channel through which people discover, evaluate, and form opinions about brands — and that the signals LLMs use to evaluate authority are different from the signals traditional search engines use. LLMO is not a replacement for SEO; it is the layer built on top of it, addressing the retrieval, training corpus, and entity infrastructure questions that traditional SEO does not.
Relevant Plate Lunch Collective Services
AI SEO Answer Engine Optimization Entity SEO Citation-Ready Content
