The search engine your next client is using doesn’t return ten options and step aside. It picks a winner. Here’s the proof — and what it means for your business right now.
AI DOESN’T GOOGLE YOU.
IT JUDGES YOU.
Let me ask you something that may be a little uncomfortable. Right now — today — if someone asked an AI assistant who the best version of you is in your city, what would it say? Not just would it mention you. Would it recommend you? Would it make the case for you, unprompted, the way a trusted colleague would?
If you asked an AI assistant, ‘Who is the best (add your profession) in (add your city)?’ What would it say? Would it recommend you?
Because that’s what’s happening. For millions of searches every day. And most business owners have no idea the game has changed.
I ran an experiment that proved it. And I’m sharing the receipts below.
The Experiment
My team just completed a full brand, strategy, and digital overhaul for a client — Colt Melrose, a professional headshot photographer in Houston. Ground-up: brand perception and positioning, competitor analysis, conversion copywriting, logo improvements, web design, site development, AI-SEO architecture, and analytics. Every decision was intentional. Every page is built to accomplish a specific job.
The site had been live for less than one week (as of May 9, 2026) when I ran my first competitive intelligence check. I asked multiple AI platforms the same simple question:
“Who is the best headshot photographer in Houston?”
Here’s what came back from ChatGPT and Gemini, which control roughly 86% of the market. :
If you dominate in ChatGPT and Gemini, you’ve won the room. Everything else is upside. That’s not dismissing the others — it’s prioritizing where the audience actually is. A business that shows up consistently and authoritatively in ChatGPS and Gemini has effectively won the AI visibility game for the foreseeable future.
Two major AI platforms. Both recommending the same brand-new site — first in its category — over competitors with years of established presence. But it gets more interesting.
When I pushed deeper with Gemini — asking the same question in a different way — Colt didn’t just appear on a list. He was assigned a category of his own.
Notice what Gemini did. It didn’t just recommend Colt. It created a new category for him. High-End Branding. It determined that he occupies a different tier entirely and named it. That’s not an algorithm ranking a list. That’s an AI synthesizing positioning and reflecting it back with precision.
Then Copilot Wrote a Brand Strategy Document. Unprompted.
What Copilot Found —
Based Entirely on Website Content
I felt like I was reading a $15,000 brand strategy document. The AI wrote it, unprompted, based entirely on what was on his website. Nobody paid for that. Nobody submitted a press release. The AI wrote it because the content we built earned it.
However, Colt didn’t first appear on their list of ” best Houston photographers” because Copilot ranks results based on the methodologies shown below. (Note: Does it really matter if Co-pilot only has 1.1% market share of the total AI chatbot market in 2026? I’d focus on ChatGPT and Gemini, which I’ll touch on in the next section of this post.)
The number that changes everything for your audience
Google processes roughly 8.5 billion searches a day. Even if AI Overviews appear on only 15-20% of those queries, that’s 1.3 to 1.7 billion daily AI interactions. The entire standalone chatbot category — ChatGPT, Gemini, Claude, combined — gets maybe 290 million daily visits! Google’s embedded AI usage likely dwarfs the entire chatbot market by 5x or more!
That’s the number you should know. Most business owners think “AI search” means ChatGPT. But the AI their customers are most likely already using is the one built into Google—the search engine they’ve been using for 20 years.
Google put AI directly into the workflow that billions of people already have. No new app to download. No habit to change. Just better search results. That’s the distribution advantage that’s almost impossible to beat.
I will elaborate more on this in Part 3 of this series. For businesses optimizing for AI visibility, this fragmentation means more work — but also more opportunity. Brands that build visibility across multiple platforms gain competitive advantages that single-platform optimizers miss.
This is exactly what the Colt Melrose experiment proved. He didn’t just show up on one AI platform. He showed up on Claude, Gemini, Grok, and Copilot — because the content was built to earn recommendations across all of them. That’s the strategic takeaway for your audience.
Now Let’s Talk About The Math
Because this is where it gets real for business owners. The AI results are remarkable. But remarkable doesn’t pay the bills. So let’s run the numbers.
Search Demand Data
Because this is where it gets real for business owners. The AI results are remarkable. But remarkable doesn’t pay the bills. So let’s run the numbers.
According to SEMrush, 390 people in Houston search for “headshot” each month on average. That keyword carries an 83% difficulty rating — what SEMrush classifies as “Hard” — meaning it’s dominated by competitors who have spent years building their digital authority. It is not an easy market to crack.
Now run the conservative math. Capture just five percent of that monthly search traffic and you have 20 potential clients reaching out. Close half of them — which is conservative for a positioned, premium brand — and that’s 10 new clients. Ten clients cover the entire investment in strategy, brand, and development.
That’s break-even. Everything after that is pure return.
That’s the conservative scenario. And it doesn’t account for the compounding effect of AI positioning — it doesn’t decay the moment you stop paying, as an ad does. It doesn’t account for the referral multiplier when your clients are lawyers, executives, and financial advisors. And it doesn’t account for the premium pricing power that comes from being the recommended authority rather than one of ten names on a list.
This is why the smartest executives I work with don’t ask “what does it cost?” They ask, “What is the cost of not doing it?”
Her’s What actually changed
Here’s the thing you will want to understand. We didn’t win these AI recommendations by gaming an algorithm. We won them by building something AI could read, synthesize, and recommend with confidence.
The shift happening right now — the one most business owners are missing — is this:
What AI is actually looking for
Three things separate the businesses AI recommends from the ones it ignores.
Specificity of positioning. Not “we serve businesses.” Not “we help clients grow.” Who, specifically? What problem, exactly? What outcome, precisely? Vague positioning is invisible to AI. Specific positioning is magnetic.
Depth of proof. Testimonials don’t move AI. Case studies do. The difference? A testimonial says, “I loved working with them.” A case study says, “Here is the specific problem, here is what changed, here are the measurable results.” If your proof is shallow, your recommendation is shallow — or absent.
Coherence of philosophy. The businesses winning AI search have a clear, articulable reason for doing what they do the way they do. A methodology. A belief. A contrarian take on their industry. AI synthesizes your worldview and uses it to differentiate you. No philosophy means nothing to differentiate you from others.
The question worth sitting with
If an AI read everything on your website right now — every page, every case study, every service description — could it write a specific, compelling, differentiated case for why someone should hire you over every competitor in your market? Not a generic summary. A case. With reasons. With outcomes. With a point of view. If the answer is no, you have strategic work to do.
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