A patient searching for a new dentist rarely types just "dentist near me" and stops there. They ask "how do I find a good orthodontist," they ask what Invisalign costs, they ask whether a same-day crown is worth it. Those questions make a useful test set for checking what ChatGPT currently says, which practices it names, and whether its details are accurate.
This piece explains how to test a dental practice across different patient questions, audit the facts and sources shown, and compare the result with the alternatives named.
Test more than "dentist near me"
Most dental marketing is built around ranking for "[city] dentist" or "dentist near me." Whitespark's study of 540 local search queries across 3 cities and 6 verticals found that only 15% of "near me" transactional queries surfaced a Google AI Overview, compared with 68% of local searches overall — and 92-97% for informational or cost-comparison queries.1 That study measured Google AI Overviews, not ChatGPT.
For a useful ChatGPT check, include both local questions and research questions such as "how much does Invisalign cost," "how do I choose an orthodontist," and "what's the difference between a crown and a veneer." Those prompts cover different patient intents. Run them directly and repeatedly in ChatGPT rather than transferring Google's observed trigger rates to another product.
Answer the research questions patients ask, not just the local search
A practice page titled "Invisalign Cost Guide: What Determines the Price" or "How to Choose the Right Orthodontist for Your Child" gives patients useful, checkable information before they choose a provider. Whitespark observed more Google AI Overviews for those informational and comparison query categories. Measure ChatGPT separately.
Dental reputation has to survive a higher-trust decision
SOCi's 2026 Local Visibility Index found that locations ChatGPT recommends average 4.3 stars.2 That is not a threshold. Dental is a high-trust category, so the useful comparison is the practice's rating, review substance, recency, and credentials against the alternatives actually surfaced to a patient.
This is also where accuracy matters. In the same index, business-profile details (hours, address, phone) were 68.3% accurate on ChatGPT and 68.0% on Perplexity; Gemini scored 100%, but SOCi used Google Maps, Gemini's own data source, as the reference.2 For a dental practice, "wrong" isn't just an inconvenience — a stale rating, an outdated specialty listing, or a wrong address showing up in an AI-generated answer is worse than not appearing at all, because it directs the wrong expectation to a patient making a trust-sensitive decision. Check the specific facts yourself rather than assuming the odds.
Audit Yelp alongside the sources dental patients already use
Ask a dentist where new patients come from and most will say Google Maps, referrals, or their insurance network's directory. Few will say Yelp. In Yext's API-derived sample of 6.8 million citations, OpenAI model output drew 48.73% from controllable third-party listings, while Gemini drew 52.15% from first-party websites.3 Use it as a reason to check which sources describe your practice.
The practical risk is conflicting or missing facts across sources. Check the practice's website, Google Business Profile, insurance directories, Yelp, and the sources shown in repeated ChatGPT answers. Correct stale information wherever it appears.
Vague marketing language obscures facts — specific claims are easier to verify
"Award-winning cosmetic dentistry in a modern, welcoming practice" is the kind of line that appears on hundreds of dental websites, phrased almost identically. It gives a patient no named credential, date, number, or capability to compare and verify.
Compare it to a fictional structure, not a real practice's facts: "[Credential] since [year], [dated review count] on Google, [actual emergency-booking process]." Every bracketed item is something a real practice can fill in as a specific, checkable fact — a real credential, a real number, a real capability — instead of an adjective. Princeton's GEO study found this kind of specific, citation-backed content boosted visibility by up to 40% on its own benchmark, with results varying by domain.4
The specific version isn't better copywriting for its own sake. Certifications, years of experience, exact review counts, named procedures, and concrete scheduling capabilities give patients facts they can compare and make any mention in an answer easier to verify. Adjectives don't.
"Specific, checkable claims help patients compare practices and make any mention in an answer easier to verify. They are useful evidence, not a promise of citation."
How to check whether ChatGPT recommends your practice
Use the method in How to check what ChatGPT says: a fresh session, each question three to five times, then verify the details. For a dental practice, test both:
- "Best dentist in [your city]"
- "How do I find a good orthodontist"
If you appear, verify the address, specialty and any credentials mentioned. If a competitor appears instead, compare its public facts and sources with yours.
Notes and sources — checked 3 Oct 2026
1 Miriam Ellis, "The Prevalence of AI Overviews in Local Search," Whitespark, May 12, 2025. Sample: 540 queries across 3 US cities (Houston, Phoenix, Denver) and 6 verticals (plumbers, personal injury lawyers, dentists, optometrists, medical clinics, real estate agents). Tested interface: Google AI Overviews only; the study did not test ChatGPT. Figures cited: AI Overviews surfaced for 68% of local-intent queries overall, 15% of "near me"-style local-intent queries, 92% of informational queries, and 97% of hybrid informational/transactional queries.
2 SOCi, "2026 Local Visibility Index," January 2026. Dataset: 2,751 multi-location brands, about 350,000 US locations. Benchmarks for ChatGPT, Perplexity and Gemini: share of locations recommended 1.2%, 7.4% and 11.0% (Google 3-Pack: 35.9%); average rating of recommended locations 4.3, 4.2 and 3.9 stars; business-profile accuracy 68.3%, 68.0% and 100.0%, measured against Google Maps data.
3 Yext, "AI Citations, User Locations, & Query Context," Yext Research, Oct 9, 2025. Sample: 6.8 million citations across 1.6 million queries per model, July 1–Aug 31, 2025, across 4 industries (retail, finance, healthcare, food service) — dental was not a tested industry. In this API-derived sample, OpenAI model output drew 48.73% of citations from third-party listings and Gemini drew 52.15% from first-party websites. API citations can differ from direct consumer-app use.
4 Pranjal Aggarwal et al., "GEO: Generative Engine Optimization," Princeton/Georgia Tech/IIT Delhi, first posted Nov 16, 2023 (rev. June 28, 2024). Finding cited: content built around citations, quotes and statistics boosted visibility by up to 40% on the paper's own GEO-bench benchmark; the authors report effectiveness "varies across domains." The paper tests GEO-bench and a real-world Perplexity.ai experiment — not ChatGPT, and not dental content.
RaveHQ Insights share our views, based on our research and the sources cited. They are general information, not legal, financial or professional advice; check what applies to your business before acting.