The Microsoft Copilot gap in Honolulu dental, and the first-mover opening it leaves.
46-practice Honolulu/Oahu cohort, 18 hash-locked questions, 3 usable runs across 2026-05-24 and 2026-05-25. Pattern-readiness cleared. Individual practices anonymized; counts and distributions named.
Why this category matters as a measurement subject
Honolulu dental is a service category where buyers actively search by location, by specialty, and by trust signals like “best” or “most reviewed.” It is also a category with no consolidated brand (no equivalent of Bank of Hawaii in dental), which means the AI-citation surface is genuinely contested. Whoever shows up first in AI answers earns the consultation that previously came from organic search clicks. With 46 practices in the cohort, the field is wide enough to surface a real competitive map.
Methodology summary
Same 7-AI-tool methodology applied across all NeverRanked teardowns:
- 5 web-searching AI tools: Perplexity (sonar API), ChatGPT search (gpt-4o-mini-search-preview), Gemini grounded (gemini-2.5-flash with Google Search), Microsoft Copilot via Bing organic results, Google AI Overviews.
- 2 training-data AI tools: Claude (claude-haiku-4-5, via Anthropic API), Gemma (open-weight, via Together AI).
18 questions a Honolulu dental buyer would actually ask AI, locked at hash 5c26fb95... so every run compares apples to apples. 3 repetitions per question per AI tool to separate signal from noise. 3 usable runs spanning 2026-05-24 and 2026-05-25. Pattern-readiness rule of 3 usable runs cleared per MOAT.md rule 5.
The 46-practice cohort was built in two passes. The first measurement run with no cohort registered surfaced 39 practices appearing in 5 or more citations. A second run after registration surfaced 7 more, giving the final 46-practice tracked set. Insurance carriers (Hawaii Medical Service Association, Delta Dental, Hawaii Dental Service) were deliberately excluded as category-relevant referrers but not competitor practices.
Full methodology + open-source measurement code at /methodology/.
Source-type distribution (cohort-wide)
Across all 46 practices and all 7 AI tools, AI pulled answers from these source types:
| Source type | % of mentions | Count |
|---|---|---|
| Independent web (third-party content) | 52% | 2,486 |
| Competitor (practice-owned websites) | 44% | 2,076 |
| Review directories (Yelp, Healthgrades, Birdeye, RealSelf) | 3% | 140 |
| Wikipedia | 1% | 25 |
| YouTube | 1% | 24 |
| Reddit, social, forum (combined) | 0% | 9 |
This puts Honolulu dental closer to Hawaii consumer banking (53% practice-owned) than to Hawaii wealth management (27% practice-owned). Buyer-shaped explanation: dental services have commodity-like attributes (location, accepting new patients, insurance accepted, services offered) that live cleanly on a practice’s own website. The relationship/trust attributes that drive wealth-management buyers live more in third-party editorial sources. Dental is more like the bank than the advisor in this regard.
Per-AI-tool breakdown, the cohort-wide Copilot gap
| AI tool | Practice-owned share | Third-party share | Total mentions |
|---|---|---|---|
| Google AI Overviews | 62% | 30% | 129 |
| Gemma (training data) | 58% | 42% | 387 |
| Gemini grounded | 56% | 41% | 1,404 |
| Perplexity | 55% | 44% | 1,271 |
| ChatGPT search | 45% | 55% | 257 |
| Claude (training data) | 34% | 66% | 511 |
| Microsoft Copilot (Bing) | 0% | 83% | 801 |
The Copilot row is the finding. Across 801 mentions on Microsoft Copilot for Honolulu dental questions, zero went to any of the 46 practices’ own websites. Instead, Copilot cited independent third-party content 83% of the time (publications, dental association content, insurance carrier pages) and review directories 11%.
The reason is structural. Microsoft Copilot answers using Bing’s organic search results. For Honolulu dental questions, the current Bing top results are dominated by directory sites and insurance carrier pages, not by individual practices’ websites. So Copilot has nothing else to cite. The gap is open for every practice in the cohort simultaneously.
The first-mover opening
This kind of cohort-wide gap closes the moment one practice changes the underlying condition. Whichever Honolulu practice ranks first in Bing organic results for the most common dental queries (best dentist Honolulu, dentist near me Oahu, emergency dental Honolulu, and so on) effectively owns the Microsoft Copilot answer while every competitor is still invisible there. The closable condition is Bing organic SERP visibility for the named questions. We do not promise that closing the condition closes the AI citation, because that is a measurement question we keep answering month over month. What we do is name what the condition is and track whether the move lands.
Top recurring practices (anonymized)
The 5 practices AI cited most often across the 18 questions and 7 tools:
| Practice (anonymized) | Total mentions | Runs cited in |
|---|---|---|
| Practice A | 193 | 3/3 |
| Practice B | 107 | 3/3 |
| Practice C | 106 | 3/3 |
| Practice D | 76 | 3/3 |
| Practice E | 72 | 3/3 |
The 5 top-cited practices appeared in all 3 measurement runs (consistency signal, not run-to-run noise). The next 30 practices in the cohort have meaningful mention counts but at a noticeably lower frequency. The shape is recognizable from other Hawaii service categories: a small top tier AI knows well, a broader long tail with single-digit to low-double-digit mentions.
Where AI pulls from when it cites non-practice content
The 2,486 third-party-content mentions are not all the same shape. Top recurring sources across runs:
| Source | Mentions | Why AI cites it |
|---|---|---|
| Hawaii Medical Service Association (insurance carrier) | 89 | Provider directory + in-network lookup |
| A “best Honolulu dentist” review-and-listing site | 64 | Editorial best-of listings |
| Delta Dental (insurance carrier) | 61 | Provider directory |
| HMSA Dental (HMSA subsidiary) | 41 | Provider directory |
| Yelp | 62 | Review platform |
| Healthgrades | 28 | Medical-specific review platform |
| Birdeye reviews | 9 | Review aggregator |
Three of the top recurring non-practice sources are insurance carriers (HMSA, Delta Dental, HMSA Dental). For a buyer asking AI “which Honolulu dentists take my insurance,” AI cites the carrier’s own provider directory more often than the practice’s site. That is a real structural fact about this category: insurance carrier provider directories are an AEO surface most practices probably do not actively manage.
What this teardown does and does not prove
What it does support:
- The 46-practice cohort is a representative slice of Honolulu/Oahu dental practices AI tools actually cite for buyer-shaped questions.
- The 44%/52% practice-own / third-party split is stable: the number was 39%/56% on run 1, 44%/52% on run 2 (after cohort expansion), and identical 44%/52% on run 3 (same cohort). Run-to-run noise is not driving the headline.
- The Microsoft Copilot 0% practice-own share is cohort-wide and consistent across all 3 measurement runs.
- Insurance carrier provider directories (HMSA, Delta Dental) are a measurable AEO surface for this category that most practices likely do not actively monitor.
What it does not yet support:
- That AI behavior on these questions stays stable over months. AI tools refresh their training data and search indices on schedules outside our control. Re-measurement is the only honest answer.
- That changing what is on a practice’s site, or in insurance directories, or in third-party listings, would cause AI to cite differently. We measured what AI cites. Causation requires pre-registered experiments against named practices with control for confounds. Different scope.
- That the Microsoft Copilot first-mover opportunity is actually closable. The Bing organic ranking competition is its own beast that this measurement does not measure.
Why this is anonymized
None of the 46 practices in this cohort are paying NeverRanked customers. The non-customer anonymization rule applies: counts, distributions, source-type breakdowns, and per-AI-tool numbers are public; individual practice names are not. The pattern is what is informative on a public surface. The named cohort lives only inside paid engagement deliverables, where the named practice is the customer authorizing the use.
A practice that becomes a NeverRanked customer gets a 1:1 deliverable that names every practice in the cohort, names the queries the customer is missing on, and ranks the closable conditions. That deliverable is private to the customer.
Measurement window: 3 usable runs spanning 2026-05-24 and 2026-05-25. Pattern-readiness rule of 3 runs cleared per MOAT.md rule 5. Refresh cadence is monthly or on customer request.
Substantiation: question set locked by hash 5c26fb95..., open-source measurement code, named AI tools on named dates. The fact-checker (also public source) rejected zero claims in this teardown.
Anonymization: the 46-practice cohort is kept anonymized at the firm level per the non-customer rule. Counts, distributions, and named source surfaces (HMSA, Delta Dental, Yelp, Healthgrades) are public because they are categorically named already and the substantiation value depends on naming the specific surfaces AI pulls from.