Gemini

Gemini is Google's family of AI models, powering both Google AI Overviews and a standalone chat product with its own citation behavior, plus a separate Deep Research agent mode that compiles longer, multi-source reports. Its retrieval is search-grounded: it connects a generated answer back to Google's own search index before applying a further citation filter on top.

Why it matters

Because Gemini checks candidate sources against Google's knowledge graph before citing them, unambiguous entity recognition, consistent naming, and structured data that ties a brand to its verified identity matter more here than on engines that retrieve straight from an open web index. A brand that's easy for Google to disambiguate from similarly named competitors has a real retrieval advantage in Gemini specifically.

Related terms

• Google AI Overviews (AIO)

  Google AI Overviews are AI-generated summary blocks that appear above traditional organic results for a large share of Google searches, synthesizing an answer from multiple cited sources. Whether an AI Overview appears at all for a given query, its trigger rate, is a separate variable from whether any specific brand gets cited within it once it does appear.

• Large Language Model (LLM)

  A large language model (LLM) is an AI model trained on vast amounts of text to understand and generate human language. It's the underlying technology behind ChatGPT (OpenAI's GPT models), Claude (Anthropic), and Gemini (Google), and what every generative engine is built on top of.

• Knowledge Graph

  A knowledge graph is a structured database of entities and the relationships between them, Google's and Wikidata's are the two most influential, that AI systems consult to verify claims and resolve which real-world thing a name actually refers to.

• Grounding

  Grounding is when an AI system anchors its generated response in specific retrieved source material, a live web page, a document, a database record, rather than relying only on patterns learned during training. It's what separates a cited answer from an unsupported one.