• AI visibility

Guide · AI search

Can AI search put your dental technology on a dentist’s shortlist?

Yes, if an assistant can find plain, checkable answers about what your product costs, what it is cleared to do and which practice systems it works with. Dentists already use AI inside their practices, and the shortlist for a scanner, imaging unit or practice software increasingly starts with a question typed by an owner dentist or a DSO team. No study yet counts how often those questions name a vendor, so this guide separates what is measured from what we infer.

By Underneath Team Guide Updated

The short version

  1. Dentists are past the curiosity stage: 43.3% use AI for at least one task in their practice and 26.4% more plan to, according to the ADA Health Policy Institute (opens in a new tab) in July 2026.
  2. Owners are buying under a squeeze: since January 2021, prices for dental equipment and supplies rose 23% while dental reimbursement rose 19%, in the ADA’s Q2 2026 economic report.
  3. Cost is the main barrier: in an ADA panel on intraoral scanners (opens in a new tab), 66% of dentists without one named the investment as the reason, while 34% were considering a purchase.
  4. The buyer is consolidating: in 2023, 26.0% of dentists less than 10 years out of school worked in groups with at least 10 locations, and 20.7% of orthodontists were in DSOs, according to HPI’s practice data (opens in a new tab).
  5. Assistants check proof before they name anyone: in our hidden-searches study, ChatGPT looked for reviews in 46.2% of answers and for prices in 23.8%.

Who buys dental technology, and what is one customer worth?

Owner dentists, DSO leadership and specialists buy it, and a single sale often opens years of software, service and upgrades.

The market is large and still spread across many small buyers. HPI counted 203,631 practicing dentists in the US in 2023, and its economic impact estimate (opens in a new tab) puts dental office revenue at $478 billion a year, or $2.4 million per dentist. Four buyer groups matter most:

  • Owner dentists in solo and small group practices. They sign the lease, sit through the demo and live with the result. Their questions are practical: will this pay for itself, and will my team use it?
  • DSOs. Dental support organizations run billing, marketing and purchasing for many offices. HPI found 13.6% of general dentists affiliated with a DSO in 2023, and nearly one-quarter of dentists in Colorado, Nevada and Georgia. A DSO decision can cover dozens or hundreds of offices.
  • Specialists. Orthodontists (20.7% DSO-affiliated) and oral surgeons (15.7%) buy imaging, scanning and planning tools that general practices may never need.
  • Labs. Dental labs buy scanners, design software and printers, and often influence which systems their client practices choose.

Deal sizes vary with the product. In a 2022 ADA News guide (opens in a new tab), a cone-beam CT (CBCT) unit cost $50,000-$100,000 to buy, an intraoral scanner $5,000-$23,000 and a 3D printer $300-$20,000. Prices have moved since, but the shape holds: capital purchases in the tens of thousands, then software, service and materials for years. The category is substantial even for one company. Align Technology (opens in a new tab), maker of the iTero scanner, reported $789.6 million in imaging systems and CAD/CAM services revenue for 2025.

How far has AI reached into dental practices and their buying?

Inside the practice, far: two in five dentists use AI tools. For vendor research, nobody has measured it yet.

HPI’s July 2026 survey is the clearest picture of where dentists stand. 22.8% use AI for imaging and diagnostics, 13.6% for insurance verification and 10.1% for business analytics. The line is clinical judgment: less than 5% use AI for treatment recommendations, and four out of five (82.6%) do not plan to. Around one-third (32.4%) say they are overworked, which is why administrative tools draw the most interest.

That matters for vendors in two ways. First, many of your buyers are now comfortable typing a question into an assistant. Second, they are skeptical of AI that oversteps, so an answer that overstates your product’s clinical role may hurt you with exactly the dentist you want.

What no survey measures is how often a dentist asks ChatGPT, Gemini or Perplexity which scanner or software to buy. Across all business purchases, Gartner’s 2026 survey (opens in a new tab) of 645 buyers found 45% had used generative AI in a recent purchase, mainly to gather information on vendors and products. Dentists buying for their own practice are a narrower group, so treat that as a direction, not a dental figure.

Which questions do dentists and DSO teams ask before they buy?

Questions about payback, fit with existing systems, clinical scope and price. We wrote the prompts below in the voice of real buyers; they are illustrations, not logged queries.

BuyerIllustrative prompt
General dentist, first scanner“Best intraoral scanner for a general practice doing mostly single crowns, and what does it cost?”
Implant-focused practice“Is a CBCT worth it if I place about five implants a month?”
Owner under cost pressure“Cheapest way to go digital for impressions without replacing my practice software”
DSO clinical director“Pearl vs Overjet for a 12-office group: which has more FDA clearances?”
Office manager“Cloud practice management software that works with Dentrix imaging and insurance verification”
Orthodontist“Which scanner works best with clear aligner workflows other than Invisalign?”
Lab owner“Open-format scanners whose files my lab can use without extra fees”

Wording changes answers. In our phrasing study, adding “on a tight budget” kept the original first brand only 15.3% of the time, against 68.0% when the same question was simply asked again. With cost the leading barrier, many dentists will add exactly that kind of qualifier, and a reasonable expectation is that they then see a different set of products.

How does an AI answer turn into a sale for a dental technology company?

By sending a dentist to the demo already knowing your price range, your integrations and why you fit their practice.

The path we see in this industry runs through people as well as screens:

  1. Trigger. An aging sensor, a new associate, a move into implants or aligners, rising lab bills, or a DSO acquisition that standardizes equipment.
  2. Research. Continuing education courses, study clubs, peers, journals, trade shows and, increasingly, an assistant asked to compare options.
  3. Shortlist and demo. A rep visit, often through a distributor, a booth at a dental meeting, or an online demo.
  4. Financing and install. A lease or loan, training and integration with practice software and imaging.
  5. Expansion. Software subscriptions, service plans, materials, upgrades and, for DSOs, office-by-office rollout.

The fifth step is where the value sits. Overjet, in its own comparison page (opens in a new tab), says its software runs at more than 240 practices in one DSO and 147 in another. Those are the vendor’s claims, but they show why an enterprise buyer’s first impression matters: one evaluation can decide hundreds of offices.

Most of this happens without a trackable click. A dentist who reads an assistant’s comparison and then calls a distributor rep shows up in your pipeline as a rep referral, not as AI traffic. We explain the measurement problem in how AI answers affect pipeline.

What decides whether an assistant names your scanner, imaging unit or software?

No platform documents how it picks dental products; studies show assistants look for reviews, prices and rankings first.

Documented by the platforms. Google says one question in AI Overviews or AI Mode can be split into several related searches (opens in a new tab), a technique it calls “query fan-out.” A question about scanners for crown work may fan out into searches about accuracy, cost and integrations. Google does not explain how a product ends up named.

Observed in our studies. In our hidden-searches study, ChatGPT ran a search aimed at a named publication, ranking or award in 43.8% of answers, besides the review and price searches above. In our consistency study, only 25.2% of brands ChatGPT named appeared in all five runs of the same question, so one test tells you little. When we asked assistants whether brands were legitimate, 88.0% of answers cited a review or complaint platform.

What dental buyers check. Regulatory scope and evidence. Dental AI shows how contested this is. Pearl received FDA clearance (opens in a new tab) in 2025 for AI analysis of both 2D and 3D images. Overjet’s comparison says it has ten FDA-cleared modules to Pearl’s seven. Pearl’s comparison (opens in a new tab) says it is the only dental AI independently validated, to 94% accuracy across more than 100,000 verified cases. Each vendor wrote the page that ranks itself first. An assistant asked “Pearl or Overjet?” has to reconcile both, and we infer it leans on whatever independent sources it can find.

Our inference. A reasonable expectation is that products with clearly stated clearances, published integration lists, honest cost ranges and independent reviews give assistants more to repeat accurately. No study has tested this for dental products.

What does it cost a dental technology company to be left out?

Mostly demos and multi-office rollouts that never start, though no study has measured that loss in dentistry.

  • The first purchase locks in the rest. A practice that buys a rival’s scanner tends to adopt that ecosystem’s software and workflows, and a DSO that standardizes on a rival does so across every office.
  • Price-sensitive buyers filter early. With 66% of non-buyers in the ADA scanner panel citing cost, an assistant that cannot find your price range or financing options may leave you out of exactly the questions where cheaper entrants compete.
  • Wrong facts cost fit. If an assistant says your software does not work with Open Dental or Eaglesoft when it does, the dentist who needs that integration moves on. Pearl’s page lists integrations including Open Dental, Dentrix, Eaglesoft, Planmeca Romexis and Sidexis, which is the kind of fact assistants can repeat. Our guide to correcting wrong brand information in AI answers shows how to trace such an error back to its source.
  • Self-ranking lists fill the gap. In our self-ranking study, 24.2% of 269 cited numbered “best X” lists put their own publisher first. In a category where vendors publish their own comparisons, the absent company has no voice in the answer.

How does GEO work for a dental technology company?

It makes your product’s scope, cost and fit easy to find and confirm across independent sources. Nobody can guarantee a recommendation.

  1. State clinical scope precisely. For each product, say what it is cleared or indicated for and what it is not. Dentists distrust AI that oversteps clinical judgment, and assistants repeat what pages say.
  2. Publish integration facts. One page per practice management and imaging system you support, with versions and limits. These answer the questions office managers and DSO IT teams ask.
  3. Explain cost and payback honestly. Give price ranges, financing and the practice volume at which the purchase makes sense. Owners facing the fiscal squeeze ask this first, and assistants search for prices.
  4. Earn independent coverage. Peer-reviewed studies, CE courses taught by clinicians who use your product, dental trade press and association coverage carry more weight than your own comparison page. See how brands build authority for AI search and whether comparison pages help B2B citations.
  5. Keep reviews current on the dental product review sites and software review platforms buyers read, and answer complaints in public.
  6. Align distributor catalogs. Product names, specifications and prices should match across your site and every distributor listing, so an assistant does not meet conflicting facts.
  7. Name DSO results with permission. Case studies that name the group, the number of offices and the measured change give enterprise buyers something checkable.
  8. Measure with real buyer wording. Test owner, specialist, DSO and lab prompts, with budget and integration variations, across ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Copilot and Claude, several runs each.

Health technology sellers facing hospital buyers have a different path; see how healthcare software companies win health system deals. For imaging and scanner makers that also sell to hospitals, where buyers issue RFQs and check prices, contracts and service, see how medical equipment sellers win RFQs.

What can’t today’s data tell a dental technology company?

How many dentists ask an assistant before buying equipment, and whether being named produces demos. No published study answers either.

  • No buying survey for this question. HPI measures how dentists use AI in the practice, not how they research vendors.
  • The ADA cost ranges are from 2022 and the scanner panel from 2021; both describe direction, not today’s prices or adoption.
  • Vendor claims are vendor claims. Pearl’s accuracy figure and Overjet’s clearance count come from pages each company wrote about the other.
  • Distributor influence is unmeasured. Reps still shape many purchases, and no study shows how AI answers interact with that relationship.

Where should a dental technology company start?

With the questions your best buyers ask before they book a demo, and a record of what assistants answer today.

List 20 to 30 prompts across owner dentists, specialists, DSO teams and labs, including cost, integration and comparison questions. Ask each major assistant several times. Note which products are named, which pages and review sites are cited, and whether your clearances, prices and integrations are described correctly. Companies selling software alongside hardware can also compare notes with how B2B software companies earn revenue from AI search.

If you would rather have that done for you, ask us for a dental AI visibility review. We will show which owner, DSO and specialist questions name your product, where assistants send dentists instead, and which missing or wrong facts are most likely costing you demo requests and rollouts. Stating clinical scope, integration lists and cost ranges where assistants and dentists can check them is the core of our generative engine optimization service.

Frequently asked questions

Do dentists use ChatGPT to choose equipment?

Nobody has measured it. HPI found 43.3% of dentists use AI for at least one practice task, so many are comfortable with assistants, but buying research is unstudied.

Should a dental technology company publish prices?

Publish ranges and financing at least. ChatGPT searched for prices in 23.8% of answers in our hidden-searches study, and 66% of dentists without a scanner cited cost.

Do FDA clearances help AI visibility?

They give assistants a checkable fact. State each clearance and its scope plainly, and link to the public record, rather than relying on a comparison page you wrote.

Do DSOs and solo practices need different content?

Yes. Owners ask about payback and ease of use; DSO teams ask about standardization, integrations, security and results across offices.

How often should a dental technology company recheck what assistants say about its products?

Regularly, with several runs per question: only 25.2% of brands appeared in all five runs of the same question in our consistency study.

Sources

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