Shamil Radia · Dental AI · Big-Case Marketing
I help dentists
turn attention into
seven-figure case revenue.
14 years at IBM. 12+ years building dental patient funnels & demand generation. 160+ practices. The AI era is here — and most clinically brilliant dentists are still commercially invisible. I close that gap.
The pattern
The top 10% of dentists in any market who do big-case surgery have the hands — but their local prospective patients don't know how good those hands are. They don't do a good job of telling them.
The result of this inattention to best practices is that another clinic with a fraction of the experience gets put in the same category. The surgeons with the best hands aren't number one in ChatGPT; the clinic that opened 18 months ago is. There's a 12 to 18-month window before that gap closes — and I help operators get on the right side of it.
The three things I do
A funnel. Authority. Front office discipline.
I build the funnels
12 years engineering paid implant funnels that fill chairs with all-on-four, single implant, and full-arch patients.
I rebuild authority
295–500+ page persuasive websites with EEAT signals, topic maps, and multilingual semantic structure that win in ChatGPT, Gemini, and Claude — not just the blue links in Google.
I train the front office
Lead-gen without proactive practice operations is hopeful. The IBM sales discipline applied to building local implant pipelines — at the dental front desk.
Where most dental marketers stop
Average build per practice — versus the industry-standard 30 to 50. 64 in French. Multilingual semantic structure in Hindi, Mandarin, Arabic, or 70+ other languages your local market may speak. The high-value patient may search in their mother tongue but speak fluent English. That's why a clinic that opened 18 months ago beats 30-year incumbents in AI recommendation search.
People. Process.
Technology.
— In that order. The IBM rule. Now the dental rule.
Why this isn't a tech demo
I worked on the cybersecurity solutions team that covered North America — from the largest Fortune brands down to the smallest companies that housed sensitive data. I also spent those years using tools developed by the internal Watson X team over 15 years ago. AI isn't new to me, and it isn't new to the world.
What's new to all of us is how we implement it at the consumer level versus the enterprise. What changed in 2026 is patient behavior — not the technology.
So we rebuilt the model: 295-page persuasive sites, multilingual semantic structure (Hindi, Mandarin, Arabic, French), topic-map authority graphs, dictation-to-content pipelines that feed ChatGPT credibility signals every day.
We can't make bad practices better. We make really good practices excellent.
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