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.
ProductIntroducing Crawler Analytics: which AI bots read your site
Crawler Analytics reads your server logs, separates AI bot visits by purpose, and puts the most-read pages next to the people who arrived from them.
ProductStorywalking: from absent to third among the names AI suggests
In four months the tour operator went from 1.6% to 14.8% of answers naming it, entering third out of 1,054 brands in its market.
ProductWeHunt climbed eight places among the brands AI recommends
From eleventh to third among the brands AI assistants name when someone looks for a head hunter in Italy, across three and a half months.
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.