Topic
LLM Citations
LLM citations are the mechanism by which large language models surface and credit external sources inside generated responses. Citation patterns differ across ChatGPT, Perplexity, Claude, and Gemini, and are driven by retrieval, authority, freshness, and structural signals.
NewsWhen an LLM cites a brand, where does it come from? An analysis of 21,170 grounded answers
We measure the correlation between brands cited and sources consulted by Gemini across two Italian B2B markets. Spearman ρ = 0.53, replicated on SaaS gestionali and fintech. Methodology, limitations, GEO implications.
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.
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.