"Can We Be Found?" vs. "Will We Be Recommended?": How GEO Unites Marketing Teams

Historically, performance and brand marketing have sat on two separate islands within the same larger org. But today, GEO serves as a bridge between the two.

GEO forces marketing teams to stop thinking in channels and start thinking in buyer questions. When ChatGPT, Google Gemini, or AI Overviews generate an answer, they're pulling together signals from across your entire digital footprint. The model doesn't care which department created the signal. It only cares whether it can trust it. No one team — especially at a large enterprise company — controls all those levers, so you need a more unified approach to get that AI recommendation.

While brand teams create authority and narrative, performance teams focus on discoverability, testing, and measurement. GEO is a call to unite the two on a set of shared questions and priorities and, ultimately, move toward a shared measure of success.

GEO Is Too Big For SEO Alone

While SEO was the default team a lot of orgs looked to first, GEO is really so much bigger than what we'd typically associate with SEO's scope (even if it should be). That means SEOs are forced to do the hard work of getting organizational buy-in and convincing other teams that this work is good for them, too.

For example, SEO might identify a visibility gap, but the solution could actually be PR or user review generation. If competitors are getting recommended more often because they're cited by analysts, another SEO-optimized blog post probably isn't going to solve that.

Or take product marketing and search teams. Product marketers understand positioning and differentiation. Search marketers understand how buyers actually ask questions.

Put them together, and you get a much better understanding of which prompts matter for your target market.

When creating your prompt set, unite teams around shared questions like:

• Are we recommended, not just cited?
• Are we represented correctly?
• Why should we be trusted?
• Does visibility create value?

How GEO Changes the Way Marketing Measures Success

SEO asks: "Can we be found?"
GEO asks: "Will we be recommended?"

That's a subtle but important difference.

Traditional SEO metrics are pretty straightforward. Rankings, traffic, click-through rate, conversions, revenue — those still matter. I'm not arguing they go away.

What changes is that AI introduces an entirely new measurement layer. It's admittedly a lot of the same work. So much of what goes into AI search, AEO, GEO, whatever, is stuff we have (or should have always) been doing.

But the difference is that the consequence of not doing it is more severe and in-your-face than ever before: You're not showing up in a product recommendation answer at the top of Google. Something about that is so much more tangible and urgent for executives than ranking in the traditional 10 blue links ever was. It's personal. You're not recommending my company? Why not?

All of a sudden, numbers-focused, ROI-driven marketing and sales leaders are having to seriously consider brand investments and the squishy concept of "visibility." In some ways, it's not so different from pre-digital marketing days when all you had were unmeasurable billboards and radio ads.

But in the modern era, we've gotten so used to the idea — or at least the illusion — that you can precisely track the origin of every purchase. AI search shatters that.

You simply don't know, in most cases, whether someone was influenced by an AI answer. Most of the time, that visit will just show up as normal organic or direct traffic. They Googled your brand name or directly navigated to your site after having seen you in an AI-recommended shortlist.

Building the Bridge Before You Build the Program

Before kicking off your GEO efforts, establish an ideal operating rhythm for your combined teams.

Here are some steps you can take:

1. Name an executive owner: Someone must own the bridge between islands. This person is responsible for the enterprise outcome and removing conflicts.
2. Pick 20-50 priority buyer questions: These should include a mix of general "best-of-category" prompts and more specific, longer-tail ones derived from your ICP and customer studies. You may even want to throw in some branded prompts to measure sentiment or how you compare head-to-head against a competitor. Don't get too pedantic here. Your initial goal is just to establish a credible baseline.
3. Map every signal owner: Identify who owns which signal (brand, PR, content, SEO, web, analytics, or product) and delegate follow-ups to the right lead.
4. Create one shared scorecard: Agree on the metrics that indicate how well you're building visibility and authority, communicating your message, and achieving your desired outcome.
5. Run a joint diagnosis: Everyone should agree on what the gaps are before you assign next steps.

AI does not care about your org chart. It sees the brand you've created and decides whether to trust it based on all the signals out there. What you say about yourself has to align with what the market thinks.

So, if brand and performance can build a bridge together, your company will start showing up where it counts.

Michael Farr is a Senior Marketing Acquisition Manager at Paylocity, a leading U.S. provider of HR, payroll, and workforce management software. He leads growth programs spanning SEO, AI Search Optimization (AEO), affiliate marketing, and pay-per-lead. He’s previously led SEO efforts at ZoomInfo and is the founder of FarReach Digital, a consulting firm helping brands get found in all the digital places.