My 8-year-old daughter desperately wanted a Nintendo Switch. Her evil parents refused to buy it for her.
She was too young to get a job, so she did what any resourceful kid would do: she set up a lemonade stand in front of our house.
But she didn’t just put out a table and a pitcher. She ran a high-stakes A/B test.
Her hypothesis was simple: if she could get more people to stop, she could sell more lemonade and buy her Nintendo Switch faster.
Variant A was her two-year-old sister, Julie, stationed out front to attract attention.
Variant B was our dog, Ginger.
I know what you’re thinking.
The dog. Obviously, the dog.
But her sister won. It wasn’t close.
The only metric that mattered
Actually, my daughter didn’t care about the outcome of the A/B test. She didn’t care how many people stopped by the stand.
She cared about one thing, and one thing only:
Did she make enough money to buy the Nintendo Switch?
Marketers have a similar problem right now.
Generative engine optimization (GEO) is the practice of increasing your brand’s visibility in AI-generated answers from platforms like ChatGPT, Gemini, Perplexity, and AI Overviews.
We’re tracking AI visibility, citation share, impressions, rankings, and every other signal we can find.
Meanwhile, leadership is asking a much simpler question:
Is any of this helping the business grow?
I use a simple test I call the Dollar Rule: If I can’t put a dollar sign in front of a metric, it’s a channel metric, not a business metric.
That’s the challenge with GEO.
Most of the metrics we’re tracking are useful operational signals. They tell us what’s happening inside the channel.
Leadership wants something different.
They want to understand business impact.
GEO arrived at exactly the moment attribution started becoming less reliable.
Traditional SEO measurement was built around a straightforward model: someone searched, clicked, visited your website, and converted. You could trace the path and measure the outcome.
AI search changed that.
Buyers are making decisions before they ever reach your website and AI influence is hard to measure with traditional attribution models.
AI search broke attribution
Buyers now discover brands through AI-generated answers, citations, publishers, forums, reviews, videos, and other sources that influence decisions before a click ever happens. Much of that influence never shows up cleanly in analytics.
That’s why so many teams are struggling to justify GEO investments. The visibility is real. The influence is real. But the attribution is often incomplete.
Waiting for perfect attribution is becoming a convenient excuse for inaction.
If you want buy-in for GEO, you need a way to connect that influence to business outcomes, even when you can’t connect every interaction to a conversion.
Making the case for GEO using financial impact
The biggest mistake…
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