Entity Recognition
Ability of an LLM to identify and understand specific entities (brands, people, places, concepts).
What is Entity Recognition?
Entity Recognition is the process by which an LLM identifies and understands named entities in text. For GEO, this means your brand must be recognized as a distinct entity and associated with the right contexts (your industry, your products, your expertise). LLMs build these associations from co-occurrences in their training data (Wikipedia, articles, forums, etc.).
How Qwairy Makes This Actionable
Qwairy uses entity recognition to automatically extract competitors, brands, products, and key concepts from AI responses. This powers competitor analysis, relevance scoring, and content gap identification.
Frequently Asked Questions
Related Terms
Brand Mention
Explicit mention of a brand name in content generated by an LLM.
Knowledge Graph
Structured database of entities and their relationships, used by AI systems to understand context.
Large Language Model(LLM)
Artificial intelligence model trained on vast amounts of text to understand and generate natural language.
Predictive score of a domain's ability to rank in search results, based on various factors.
Google's content quality framework emphasizing author credentials, expertise, and trustworthiness.