> ## 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. # LLM Brand Recall > LLM brand recall is the accuracy and completeness with which a specific large language model can reproduce correct information about a brand from its paramet... *Measurement* · *Emerging* ## Definition LLM brand recall is the accuracy and completeness with which a specific large language model can reproduce correct information about a brand from its parametric knowledge — without retrieval augmentation. It measures what the model "knows" about a brand from training data alone. ## Why It Matters for AI Search LLM brand recall is the training data dimension of [AI search visibility](https://www.platelunchcollective.com/services/ai-seo). A brand with strong LLM recall is represented accurately in model weights — the model can correctly state what the brand does, who it serves, where it operates, and what distinguishes it, without needing to retrieve external sources. Strong recall is built through training corpus presence: being accurately described in Wikipedia, Wikidata, widely-referenced web content, and authoritative publications before a model's training cutoff. Recall degrades over time as models age relative to their cutoffs, which is why monitoring recall across model generations is part of a complete AI search management program. ## Related Terms ## Relevant Plate Lunch Collective Services [AI Search Visibility Assessment](https://www.platelunchcollective.com/services/context-map) [Context Map](https://www.platelunchcollective.com/services/context-map) [Entity SEO](https://www.platelunchcollective.com/services/entity-seo)