Explains what a term or concept means.
Primary bias is what an AI model already believes about your brand before it searches: an ungrounded confidence baked into training that becomes the biggest factor in whether your content is selected in AI answers.
Grounding snippets are the short, extractive sentences AI systems pull from your page to build their answers: the atomic unit of AI-search visibility, where most of your page never makes the cut.
Selection Rate Optimization is the AI-search counterpart to click-through-rate optimization: improving how often AI systems choose your content as the source they ground and cite their answers on.
Relevance Engineering is the practice of building a page's semantic relevance to a query with embeddings and vector math, treating search visibility as an engineering problem rather than keyword optimization.
AIO (AI Optimization) is shaping your content and presence so AI systems favor them in generated responses — one route to AI Visibility.
AEO (Answer Engine Optimization) is optimizing to be the answer that AI assistants and answer engines give to a question.
AI SEO is optimizing your content and brand so AI systems surface them when answering questions — the broad practice behind AI Visibility.
GEO (Generative Engine Optimization) is optimizing for LLM-powered search and chat so your brand and pages appear in generated answers.
Google Cloud's Open Knowledge Format is an open, vendor-neutral way to package the context AI systems need, as plain markdown files any model or agent can read.
AI Visibility is the outcome of AI-centric SEO, focusing on being cited and recommended by AI systems through brand mentions and source citations in answers.
An analysis of 365,920 fanout queries from Google, OpenAI, and Amazon reveals how different AI models generate internal search queries for web grounding.
RexBERT is a domain-specialized language model trained on e-commerce text to optimize product titles, descriptions, attribute extraction, and semantic search.
Google's EmbeddingGemma is a multilingual embedding model that mirrors Gemini's architecture to provide insights into semantic search and query intent.
Help Me Write is Google Chrome's AI-powered assistant that generates context-aware text suggestions for short-form content like emails, posts, and forms.
An examination of the Chrome codebase reveals that the history_embeddings component uses the dot product of normalized vectors to perform similarity searches.
Explore how Google’s Gemini processes text using subword tokenization. Use this tool to inspect SentencePiece log-likelihood scores for common and rare tokens.
Generative Engine Optimisation (GEO) is a term used to describe SEO for AI assistants and generative search engines, often based on a single research paper.
The temperature parameter in generative AI models influences randomness and creativity by rescaling the probability distribution of potential next words.
Top-p sampling, or nucleus sampling, is a parameter used in generative AI to control text randomness by selecting words based on a cumulative probability.
An examination of Google's Privacy Sandbox, focusing on the technical details and privacy implications of the Topics API and the FLEDGE API.
