Google Gemini
Google’s state-of-the-art multimodal AI capable of processing text, images, audio, video, and code, powering AI Overviews, Bard, and other AI-enhanced services.
Google Gemini is a cutting-edge AI model designed to handle multiple types of inputs, including written text, visual content, audio, video, and programming code. Launched in 2023, it represents Google’s response to leading large language models like OpenAI’s GPT series. Gemini forms the backbone of AI-powered products such as Bard, AI Overviews in search results, and other services that use intelligent content synthesis.
Gemini comes in three configurations: Ultra, which delivers maximum reasoning and problem-solving ability; Pro, which balances performance and efficiency; and Nano, which is lightweight and optimized for on-device applications. Safety and reliability are central to its design, with alignment methods and extensive testing integrated to minimize harmful outputs and ensure accurate responses.
For SEO and GEO practitioners, Gemini’s capabilities are highly relevant because it affects how AI Overviews are constructed, how sources are selected, and how content is summarized. Its ability to analyze multiple media types means businesses should provide structured, well-documented, and high-quality content, making it easier for Gemini to accurately interpret and reference.
Frequently Asked Questions about Google Gemini
Related Definitions
RAG (Retrieval-Augmented Generation)
An AI framework that blends language models with live information retrieval to deliver accurate, up-to-date, and cited responses.
Large Language Model (LLM)
Advanced AI systems designed to read, interpret, and produce human-like language, powering chatbots, intelligent search, and automated content tools.
Machine Learning
A branch of AI that allows systems to learn from data, adapt over time, and improve performance, influencing search engines, content strategies, and personalized experiences.