GEO keeps getting sold as if it were a magic trick.
It is not.
The real problem is simpler and more annoying: the old SEO scoreboard was built for a world where you could count clicks and calls from one search channel. That world is gone. Search is splitting across classic results, AI Overviews, AI Mode, chat assistants, map surfaces, and answer-style interfaces that do not behave like a normal blue-link page.
So people look at the same site and see two different stories. Rankings look stable. Leads feel softer. The phone rings less. Then someone says “GEO is working” or “GEO is broken,” when the truth is that most teams do not yet have a clean way to measure visibility across the new search surfaces.
What Google is actually saying
Google’s own guidance is useful here because it cuts through the noise. The company says SEO best practices still matter for AI features like AI Overviews and AI Mode, and that there are no special technical requirements to appear there. In other words: the fundamentals still matter, but the surface has changed.
That matters because a lot of GEO chatter tries to turn this into a brand-new discipline with secret hacks. It is mostly not that. The shift is not “forget SEO.” The shift is “measure more than one surface, and measure the right outcomes.”
What to measure instead
If you are an SMB, a local service business, or a marketer trying to make sense of AI search, stop chasing vanity signals. Start tracking the stuff that connects to revenue.
- Query intent, not just average position. Which searches actually trigger calls, forms, or direction requests?
- Search Console trends. Impressions and clicks still matter, but compare them to lead volume, not to your own nostalgia.
- Assisted conversions. Some people will see you in AI-driven results, then come back later through branded search or direct traffic.
- Local actions. Calls, map interactions, direction requests, and booked appointments tell the truth faster than rankings do.
- Citation quality. If your business is being mentioned in AI answers, what sources are being used, and do those citations actually support the sale?
The point is not to build a prettier dashboard. The point is to connect search visibility to business reality.
The part that gets missed
AI search makes measurement harder for a reason: it compresses the moment when attention becomes action. People can get an answer without the old click path. That does not mean the opportunity is smaller. It means the evidence is more fragmented.
Which is why the old reflex of “we rank, therefore we win” is becoming less useful. Rankings still matter. They just no longer tell the whole story.
If your market is local, the new competitive edge is not just being found. It is proving you are the answer when intent is highest.
What I’d do this week
- Baseline your top revenue-driving queries in Search Console.
- Match them against real lead activity: calls, forms, messages, direction requests, and booked jobs.
- Review which pages are most likely to be cited or summarized in AI search surfaces.
- Write one strong page that answers the actual buyer question better than the generic SEO copy on page one.
- Track the result for 30 days before you decide whether GEO is helping or hurting.
That is the practical move. Not a slogan. Not a shortcut. A measurement system.
For now, the businesses that will win are the ones that stop asking, “How do we rank in GEO?” and start asking, “What does visible, attributable demand look like when AI sits between us and the click?”
Source: Google Search Central: AI features and your website and Google Search Central: Search Console performance report.