The category term attracts the wrong people.
High volume, poor intent. Researchers, rivals and job seekers, with buyers in the minority.
UNIBRIGHT SOLUTIONS · AI SEO · CASE STUDY
98% SEO Growth in an Emerging AI Market
We helped hello brittany AI grow organic traffic by 98%, generate 17 conversions in 15 days, and reach healthcare practices through targeted SEO, specialty landing pages, and conversion optimization.
+98%Organic Growth
+53%Traffic Growth
17Conversions in 15 Days
8Specialty Pages Built
−67%Wasted Traffic Reduced
01 / THE PROBLEM
The Problem
The product answers phone calls for medical and dental practices. The market for it is growing fast — industry forecasts put AI reception at roughly $2.3 to $2.7 billion in 2025, heading for over $23 billion within a decade. Adoption among customer service teams nearly doubled in a year.
So the demand is real and rising. The problem was that almost nobody searching for it uses the words the industry uses.
Search "AI receptionist" and you get three kinds of people: businesses researching the category, competitors checking each other, and people looking for a receptionist job. The buyers — a dental practice losing calls at lunchtime — do not search the category at all. They search the problem.
REVIEW
What Our Review Found
Buyers search their problem, not the solution.
"Missed calls at my dental office," "who answers the phone when reception is busy," "after-hours answering for a clinic." Nobody types the product category.
One page cannot serve eight specialties.
A dental practice and a veterinary clinic have different problems, different language and different rules. A single generic page speaks to neither.
Regulated verticals need reassurance before features.
In healthcare, the first question is not what the product does. It is whether it is safe to use with patient information.
No structured answers for search engines or AI assistants.
Buyers increasingly ask an AI assistant which product to use. Without structured content, you are not in that answer.
BUILT
What We Built
Eight specialty pages instead of one generic page.
Dental, medical spa, plastic surgery, chiropractic, physical therapy, dermatology, veterinary and optometry — each with its own headline, its own problem and its own language. A dentist reads a page about dental practices.
Content mapped to problem searches, not category searches.
Pages built around what a practice manager actually types when the phone has been ringing out all morning.
Job-seeker traffic filtered out.
Negative keyword work on paid, and content built to signal clearly that these pages sell a product rather than advertise a vacancy. Cutting wasted traffic costs nothing and improves every metric downstream.
Compliance and trust content placed early.
In healthcare, the safety question comes before the feature list. Answering it upfront stops the visit ending there.
FAQ structured data throughout.
The questions buyers ask, marked up so search engines and AI assistants can quote them directly. This is how you get named when someone asks an assistant what to use.
Page speed and site structure rebuilt from the ground up.
Load times, page weight, and how pages link to each other. A slow, tangled site holds back good content no matter how well it is written.
User experience fixed using real session data.
Session recordings and heatmaps in Microsoft Clarity, alongside analytics, showed exactly where visitors stalled, scrolled past the important part, or left. We changed the pages to match what people actually did rather than what we assumed they would do.
Off-page authority built properly.
Guest articles on recognised industry websites and listings in established US business directories. New sites have no authority, and search engines weigh who vouches for you as heavily as what you publish.
Conversion tracking rebuilt.
The audit found conversions were not being recorded at all. Fixing measurement came before any optimisation — there is no point improving numbers you cannot see.
IMPACT
Where AI Helped — and Where It Did Not
AI made eight specialty pages possible instead of one. Writing a genuinely distinct page for each vertical — different language, different objections, different examples — is a month of writing. AI drafts it in days, which is the only reason the specialty-page approach was affordable at all.
The strategist decided which eight, and what each one had to say. Which searches carry buying intent and which waste budget. Where the compliance answer belongs on the page. What a chiropractor worries about that a dermatologist does not. Every page was reviewed and edited before publishing.
05 RESULT
The Results
RESULTDETAIL
Organic traffic up 53%First month
Organic traffic up 98%Second month — growth accelerating, not levelling off
17 conversions in 15 daysReal enquiries, from an account that had been recording none at all
8 specialty pages liveOne per healthcare vertical, each targeting its own searches
Page speed and structure rebuiltTechnical foundation fixed before content was scaled
Conversion tracking fixedFrom zero recorded conversions to full measurement
Wasted traffic cut 67%Job-seeker and non-buyer queries removed
MEANS
What This Means
The obvious keyword is often the wrong keyword.
High volume means nothing if the people searching cannot buy. One term here was mostly job applicants.
Measure before you optimise.
The account was reporting zero conversions because tracking was broken. Every decision made before that fix was made blind.
Specialty pages beat one clever page.
Eight pages each speaking to one audience will always outperform one page trying to speak to eight.
In a young category, buyers do not know what to call it.
So you rank for the problem, not the product name. The category term becomes worth owning later, once buyers learn it.
Structured answers are how you appear in AI results.
People now ask assistants what to buy. Marked-up questions and answers are what makes a product quotable.
The growth accelerated instead of flattening.
53% in the first month, 98% in the second. That pattern is what a fixed foundation looks like — each month of content lands on a site that is working rather than one that is fighting itself.
Session data beats opinion.
Rankings bring people to a page. Watching recordings of what they actually do there is what stops them leaving. Most SEO work skips this half entirely.
17 conversions matter more than the percentages.
An account that was recording nothing now produces measurable enquiries. That is the number a business owner cares about.
FIX
What This Does Not Fix
Worth being straight about:
A young category is still a young category.
Problem-led searches have lower volume than the category term. The traffic is smaller and much better qualified.
Regulated buyers move slowly.
A healthcare practice takes longer to decide than a home services business. Rankings arrive before revenue does.
SEO does not shorten a sales cycle.
It brings the right people in. What happens after that is the demo and the product.
WORKS
Why This Works Elsewhere
Any business selling something new has this problem. You cannot rank for a category term nobody searches yet, and the term that does have volume brings the wrong people.
The way through is to rank for the problem your product solves, in the words your buyer already uses, on a separate page for each kind of buyer.
NEXT STEP
The Next Step
Send us your site and your search data. You get back which of your keywords are actually bringing buyers, which are wasting budget, and the pages worth building for each type of customer you serve.