Key facts
- Three clean sessions on 2026-09-26 asked gpt-5.4-mini, browsing off, to recommend a good dentist in Vancouver, BC for dental implants and say why. The prompt asked for practices by name.
- All three runs named zero practices. Each opened with a version of the same statement, that it could not verify the current quality or availability of specific dentists, and turned the answer into a guide to choosing.
- The three answers were long, between 3,400 and 3,600 characters each, roughly three times the length of the roofing answers in the same panel that did name companies.
- Every run said the same things in different words: implants should be placed by a periodontist, an oral surgeon or a dentist with a high implant caseload; ask about 3D CBCT imaging and guided surgery; ask who places the implant and who restores the crown; ask what the quote includes across every stage.
- Run 1 sorted the advice by case type, single tooth, several implants, full arch, and by budget; run 3 gave a list of ten questions to ask a clinic; run 2 stayed with the specialist types and imaging.
What we asked, and the settings
On 2026-09-26 we ran the same prompt three times in separate sessions with gpt-5.4-mini, en-CA locale, browsing off, default settings: "I need a good dentist in Vancouver, BC for dental implants. Which practices would you recommend and why?" The prompt is deliberately the way a patient would ask, and it asks for names.
The same panel on the same date asked twelve other city prompts, from Dallas roofers to Brampton real estate agents. Most of those runs named businesses. This one is the clearest case in the panel of the model declining to name anyone for a health service.
What each run said instead of naming a practice
Run 1 explained that it could not reliably verify which practices are best in real time and then organized its advice by the kind of case: a straightforward single-tooth implant, several implants, and full-mouth or implant-denture work, with notes on when a specialist-led clinic matters, and a closing offer to help build a shortlist based on the patient's neighbourhood and needs.
Run 2 was the shortest on names and the most focused: it described who does the surgery, a prosthodontist for the restoration, an oral surgeon or periodontist for placement, and pressed on 3D CBCT imaging, guided surgery and the number of implants a clinic places each year.
Run 3 gave a checklist of ten questions to ask any clinic: who places the implant and who restores the crown, how many implants are placed per year, whether CBCT scans and surgical guides are used, whether bone grafting is done in house or referred out, which implant systems are used, the total cost across all stages, the warranty and follow-up policy, and whether case photos or a past patient are available.
What repeated across the three runs
No practice names, so nothing to compare on that front. What repeated was the structure of the advice. All three runs told the patient to ask who places the implant, all three raised 3D CBCT imaging, all three asked about implant volume, and all three said a specialist should handle complex cases. Two runs said explicitly that they were offering a shortlist method to research rather than a ranking.
The consistency is the finding. Where the roofing prompt produced 25 names in three runs, the implant prompt produced the same buying guide three times, which suggests the model treats a surgical dental decision differently from a home repair one, at least with browsing off and on this date.
Why this matters for a Vancouver dental practice
If a patient asks this question today and gets this kind of answer, the practice that wins is the one whose website answers the model's checklist before the patient calls: who places the implant, how many are placed a year, whether CBCT imaging and guided surgery are in house, how bone grafting is handled, which systems are used, what a full quote includes, and what the follow-up policy is. Those are the questions the model is teaching patients to ask.
A practice that publishes plain answers to those questions, on pages a person and a model can read, is also building exactly the content that earns citations when browsing is on and the model looks for sources. SearchPod builds those pages for clinics inside the usual rules for health advertising in BC and tracks which AI prompts name a practice over time.
What this test cannot tell you
This page records what one model said in three tries of one prompt on one date with browsing off. It does not mean the model never names Vancouver dentists; a different date, a different model or browsing switched on may produce names. It says nothing about the quality of any practice, and it is not advice about implants. Health decisions belong with a dentist.
The next run of this panel will ask the same question again. If the model starts naming practices, this page will be updated with what it named.
Related questions
No. In all three runs on 2026-09-26 it named zero practices and gave a guide to choosing one instead, saying it could not verify current practices without up-to-date checking.
Who places the implant and who restores the crown, how many implants the clinic places a year, whether it uses 3D CBCT imaging and surgical guides, whether bone grafting is done in house, which implant systems it uses, what the total quote includes across all stages, and what the warranty and follow-up policy is.
The model's reasoning is not visible, only the output. On this date and with browsing off, it named contractors freely and declined to name dental practices, treating a surgical decision more cautiously. That may change on other dates or with browsing on.
The opposite. The model is teaching patients a checklist, and a practice whose site answers that checklist plainly is the one a patient calls, and the one a browsing model can cite. Publishing those answers is the work.
No. It is a record of what an AI model said. Decisions about implants belong with a licensed dentist or specialist.
Sources
- SearchPod AI prompt panel, run 2026-09-26 (gpt-5.4-mini, browsing off, three runs) (accessed 2026-09-26)
one model, no browsing, one date, three runs; nothing here is dental advice or an endorsement; SearchPod sells AI visibility work.
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