Topic
Generative Engine Optimization
Generative Engine Optimization (GEO) is the practice of increasing the probability that a brand is cited and recommended by large language models such as ChatGPT, Gemini, Perplexity, and Claude inside generated answers.
ProductIntroducing Agentic Workflows: the AI visibility audits that work for you
Refinea's Agentic Workflows analyze a page the way an AI engine reads it. Ready-made audits for crawlability, structured data and content quality, plus your own.
Giorgio Monaco·
ProductIntroducing Brand Memory: your brand's facts inside AI answers
Brand Memory injects your company's verified, unique facts into the content you generate, so AI cites your proof instead of generic industry boilerplate.
Giorgio Monaco·
GuidesGenerative Engine Optimization: the 2026 operational guide
What actually works to get cited by ChatGPT, Perplexity and Google AI Overviews in 2026. Evidence-based tactics, not vendor opinions.
Vito Guglielmino·
GuidesHow LLMs choose what to cite: the seven signals that decide
The seven signals that actually drive whether an LLM cites a source. Evidence from academic papers, Anthropic engineering docs, and industry studies with disclosed methodology.
Giorgio Monaco·
NewsGEO vs SEO: Key Differences Explained
What's the difference between Generative Engine Optimization and traditional SEO? How GEO works, why it matters, and when you need both.
Vito Guglielmino·
GuidesWhat Is Generative Engine Optimization (GEO)?
Everything about Generative Engine Optimization: how AI decides which brands to recommend, and how to optimize for ChatGPT, Gemini and Perplexity.
Vito Guglielmino·