Blog
How AI search actually works: what generative engines select, how GEO differs from SEO, and which levers have 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.
AEO is optimizing to be the answer rather than a result. What counts as an answer engine, four concrete examples of the change, what it inherits from featured snippets, and how to measure it.
GEO is the work of getting your pages retrieved and cited inside AI-generated answers. Where the term came from, how generative engines actually pick sources, and why it is a publishing job rather than a settings job.
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.
GEO and SEO share the same technical foundation and diverge in everything after that. What stays the same, what changes, which metrics stop working, and whether you need to run both in parallel.
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.
A practical GEO workflow: choose buyer questions, check access, improve the right pages and measure the result without promising citations.
Book a call and we walk through your category: the questions your buyers ask, who gets cited today, and where the opportunity is.