Large Language Models (LLMs) are advanced artificial intelligence models, such as OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini. They are trained on massive datasets of text and code, enabling them to understand, generate, and process human language. In AI search, LLMs form the core of generative AI experiences, synthesizing information, generating answers, and making recommendations based on their training data and real-time retrieval.
What are AI Overviews (or Search Generative Experience - SGE)?
AI Overviews, also known as Search Generative Experience (SGE) in Google's context, are features in search engines where...
What is Retrieval-Augmented Generation (RAG)?
Retrieval-Augmented Generation (RAG) is a technique used by Large Language Models (LLMs) to improve the accuracy and rel...
What are Embeddings in AI Search?
Embeddings are numerical representations of text, images, or other data that capture their semantic meaning and relation...
What is Ansehn?
Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.
Ready to Optimize Your AI Search Performance?
See how Ansehn can help you monitor and improve your content's visibility across leading AI platforms.
Book a Demo