Win the search results that grow your business.

A persona-first content gap analysis finds the questions your audience is asking that the current search results fail to answer. That is a different exercise from the gap analysis most teams run, which finds the keywords competitors rank for and you do not. Both go by the same name. Only one of them tells you what to actually say.

A decision framework is a piece of content that walks a reader through choosing between options, scored against weighted criteria so the tradeoffs are explicit instead of implied. It is also one of the most reliably cited formats in AI search, because it answers the exact shape of question generative engines are built to resolve.

Type one sentence into an AI engine and it almost never searches for that sentence. It quietly rewrites your prompt into a handful of other queries you never see, runs them, reads what comes back, and hands you a single answer stitched from sources you were never shown choosing. That hidden step is where AI visibility is won or lost, and most GEO advice skips straight past it as if every engine did it the same way.

Most Screaming Frog tutorials stop at broken links and missing meta descriptions. That is the warm-up. The tool earns its license fee on the layer underneath, the canonical logic, the rendering gaps, the international signals, and above all the moment you stop treating the crawl as the answer and start treating it as one input among several. On enterprise sites, the real wins live where crawl data meets Semrush and Search Console.

Enterprise GEO is the practice of operationalizing generative engine optimization across a large site, so that thousands of pages, multiple teams and several markets all produce content that AI engines can cite, consistently and at scale. On a small site, GEO is a checklist you apply by hand. On an enterprise site, the same checklist applied page by page never finishes, so the work shifts from doing GEO to building the system that does GEO for you.