Search Is No Longer One Channel — It's Three
Enterprise buyers stopped researching vendors through a Google search box a while ago. They just haven't stopped calling it "SEO."
Someone evaluating an inspection-technology vendor, an insurance provider, or an infrastructure partner today doesn't only type a query into Google. They ask ChatGPT to compare three vendors. They ask Perplexity for a recommendation with sources. They ask Copilot, embedded right inside the Microsoft tools they already use for work, to summarize a category. Each of those moments is a purchase-influencing search — and most company websites were never built to be found, extracted, or cited in any of them.
Three disciplines, one funnel
SEO — Search Engine Optimization is the discipline everyone knows: rankings, backlinks, crawlability, technical health. It's still the foundation. If Google can't index your homepage, nothing downstream matters. But it answers a narrower question than it used to: can a classic search engine rank this page.
AEO — Answer Engine Optimization is about structuring content so a system can extract a direct answer from it — not just rank the page that contains one. That means FAQ schema, question-led headings ("How do you inspect a flare stack without a shutdown?" answered plainly in the first sentence), and named authorship. Content written for a person skimming a page reads very differently from content written for a system extracting an answer, and most sites are only doing the former.
GEO — Generative Engine Optimization is the newest and most overlooked. It's about turning your own proprietary data and expertise into original, citable statistics — the exact kind of specific, verifiable information generative-AI systems favor when deciding what to cite. A company sitting on hundreds of thousands of completed transactions or years of unique operating data almost always has GEO material sitting completely unused.
Why this compounds fastest for considered purchases
The longer and more considered the buying decision, the more this matters. An 18-month enterprise sales cycle involves dozens of research moments across multiple stakeholders — and AI-referral traffic is one of the fastest-growing sources of that research today. A site that's invisible to it isn't losing a little traffic. It's absent from an increasing share of the moments that actually shape a purchase decision.
Where to start
Run a baseline first: ask the major AI assistants a handful of questions your best customers would plausibly ask, and see whether you show up at all. Most companies discover they don't — not because a competitor is winning, but because nobody is being cited yet. That's the opportunity, not the problem.