Blog
How generative engines choose and cite their sources: crawler access, passage retrieval, and the levers that have real evidence behind them.
What scaile learned from 200 Codex runs: how the LLM's learned knowledge, its search index and its page checks shape a ChatGPT answer, and what that means for your content.
Every major AI crawler in one table, with the distinction the tool pages skip: some bots collect training data, others fetch the page that gets cited in the answer your buyer is reading right now.
Which levers measurably get a brand named and cited by AI systems, which popular tactics demonstrably do nothing, and why nearly half of all citations don't come from the brand's own website at all.
A practical reference-page pattern for company facts, sources and disambiguation, with an important distinction between access and search eligibility.
Resolve conflicting company facts, connect the right profiles and keep structured data aligned with what your pages actually say.
Choose appropriate structured data, check it against visible content and test the published page without treating valid markup as a citation guarantee.
Book a call and we walk through your category: the questions your buyers ask, who gets cited today, and where the opportunity is.