Buyers now ask AI — not just Google
For two decades, being found meant ranking on a results page. People typed a query, scanned ten blue links, and clicked. Search engine optimization — SEO — was the discipline built around winning that moment.
That moment is changing. Increasingly, people don't scan links — they ask an AI for a direct answer. "What's the best CRM for a small team?" "Which vendor should I trust for X?" And the AI replies with a short, confident recommendation, often naming just a few companies.
If you're not in that answer, you're not in the consideration set — and the buyer may never see a search results page at all.
Getting recommended in those AI answers is what we call your AI visibility. The discipline of earning it is GEO.
GEO vs SEO, briefly
SEO and GEO share a goal — be the answer when someone is looking — but they play out on different surfaces, and the mechanics differ.
- The surface
- SEO: a ranked list of links on a search page. GEO: a single synthesized answer from an AI engine.
- The win
- SEO: rank high enough to get the click. GEO: be named, cited and framed well inside the answer itself.
- What the engine reads
- SEO: your pages. GEO: your pages plus the third-party sources the model trusts — reviews, comparisons, mentions, structured data.
- How fast it moves
- SEO: relatively stable. GEO: a new, fast-moving field — models and their behavior change weekly.
They're not rivals. The strongest companies treat GEO and SEO as one strategy — the same authority that ranks pages also makes you citable to AI.
How an AI decides who to recommend
No single mechanism, but a few patterns hold across engines. When an AI answers a buying question, it tends to favour companies that are:
Clearly described
Your own content states plainly what you do, who it's for and why — in language that matches how buyers ask.
Widely cited
Independent sources the model samples — reviews, roundups, comparisons — mention you in the right context.
Well structured
Your information is organized so machines can parse it: clean pages, structured data, consistent facts.
Framed positively
The sentiment around you — how you're talked about — is credible and on-message.
In other words: it's not a trick. It's the same thing that earns trust with humans — clear positioning, genuine authority, good sources — expressed in a way AI can read and repeat.
What winning GEO actually involves
Measuring where you stand is the easy part — any tracker can show you a chart. The work is everything around it:
- Understand
- Know your products, buyers and competitors deeply enough to build a strategy for you, not generic best-practice.
- Target the right questions
- Find the actual questions your buyers ask AI across the funnel — not stock category prompts.
- Measure
- Track visibility, share of voice and sentiment across every engine — then read what changed and why.
- Create content
- Produce the content AI engines actually cite, grounded in real knowledge of your products.
- Build off-site authority
- Earn citations and mentions on the external sources the engines sample.
Measuring is the easy part. Knowing what to do — and doing it — is the job.
That's a lot of disciplines for one person to own in a field that changes weekly. Which is exactly the problem Kambrium was built to solve.