Knowledge: AI & GEO

AI & GEO

AI Crawler

AI crawlers are automated programs that systematically read websites to collect content for training AI models or for answering user queries. Well-known examples are GPTBot (OpenAI), ClaudeBot (Anthropic) and Google-Extended.

AI & GEO

AI Overviews

AI Overviews are AI-generated answer summaries that Google displays above the classic search results, accompanied by source links. They condense content from several websites into a direct answer to the search query.

AI & GEO

GEO (Generative Engine Optimization)

Generative Engine Optimization (GEO) refers to measures that prepare website content so that AI systems such as ChatGPT, Perplexity or Google AI Overviews can understand it, reproduce it correctly and cite it as a source. GEO complements classic search engine optimisation with visibility in generated AI answers.

AI & GEO

LLM (Large Language Model)

A large language model (LLM) is an AI model trained on very large amounts of text that can process and generate natural language on this basis. LLMs are the technical foundation of AI assistants such as ChatGPT, Claude and Gemini.

AI & GEO

llms.txt

llms.txt is a text file in Markdown format, proposed in 2024, that resides in the root directory of a website and offers AI systems a compact, structured overview of its most important content. It is a community proposal, not a binding standard.

AI & GEO

RAG (Retrieval-Augmented Generation)

Retrieval-augmented generation (RAG) is a technique in which a language model retrieves relevant information from an external knowledge source before generating an answer and incorporates it into the response. This allows AI answers to be grounded in current, company-specific data instead of relying solely on the model's training knowledge.

AI & GEO

AI & GEO

AI Crawler

AI Overviews

GEO (Generative Engine Optimization)

LLM (Large Language Model)

llms.txt

RAG (Retrieval-Augmented Generation)

Understanding terms is good –applying them is better

Understanding terms is good –
applying them is better