# DentalCensus

> DentalCensus is a structured intelligence model for the US dental industry,
> not only a directory of open facts. It combines public evidence with its own
> crawl, normalization, historical snapshots, change signals such as review-growth
> velocity, and cross-segment analysis. It also provides public professional
> contact and decision-maker intelligence. It also provides a foundation for
> customer-specific intelligence models, with AI agents helping configure the
> objective, dimensions, rules and outputs while evidence and uncertainty remain
> visible. It tracks 103,674 US dental clinics
> (July 2026 snapshot): clinical services (implants, all-on-X, Invisalign),
> technology (iTero, CEREC, online booking), marketing activity (Google Ads,
> Meta Ads, call tracking), DSO affiliation (1,084 networks) and market
> saturation across 723 metros and 107K regions, down to census-tract level.

## Key pages

- https://dentalcensus.com/ : What DentalCensus is and who it serves
- https://dentalcensus.com/capabilities : Customer-facing capability modules, including momentum, network structure, contact and decision-maker intelligence, territory potential, cross-signal intelligence and customer-specific model building
- https://dentalcensus.com/how-it-works : How DentalCensus moves from public evidence to normalized profiles, dated snapshots and intelligence models
- https://dentalcensus.com/data : Dataset coverage, sources and methodology
- https://dentalcensus.com/data/network-detection : How hidden dental ownership networks are detected — cross-signal comparison across 125,564 company records, independent AI verification with a published 12.7% rejection rate, monthly refresh (August 2026 snapshot)
- https://dentalcensus.com/data/hidden-dental-networks : Hidden dental networks in the US, measured — 1,801 evidence-confirmed ownership networks, 95.6% at ≤10 locations, 14.2% of active clinic records with ≥1 verified link (graph snapshot 2026-08-01, monthly refresh)
- https://dentalcensus.com/solutions : Use cases by buyer (agencies, labs, brokers/PE, manufacturers, DSOs)
- https://dentalcensus.com/use-cases : Worked examples of how a lab, an implant manufacturer or an equipment vendor decides which accounts are worth their team's time; every page states its evidence status
- https://dentalcensus.com/insights : Answer-first guides for market, territory, contact and prospecting questions
- https://dentalcensus.com/reports : Research queue and forthcoming reports; published reports will receive their own canonical URLs
- https://dentalcensus.com/reports/california-dental-market : California Dental Market Report — 14,704 clinic records measured (services, technology, verified ad activity, reputation bands, DSO structure; three-number rule with honest unknowns; snapshot cutoff 2026-07-29)
- https://dentalcensus.com/markets : US dental market statistics by metro
- https://dentalcensus.com/pricing : Current access and plan path for evaluating DentalCensus

## Priority commercial guides

- https://dentalcensus.com/insights/how-to-tell-if-a-dental-practice-is-in-a-dso-or-group : How to tell if a dental practice is part of a DSO or ownership group — visible checks plus evidence-based detection of hidden networks

- https://dentalcensus.com/insights/contact-intelligence : Canonical Contact Intelligence pillar; query aliases include professional contact intelligence and dental practice decision-maker intelligence
- https://dentalcensus.com/insights/market-territory-intelligence : Market and territory screening framework
- https://dentalcensus.com/insights/how-to-find-dental-practice-decision-makers : Source-aware role and contact-path workflow
- https://dentalcensus.com/insights/dental-practice-prospecting-with-source-aware-data : Account-fit, evidence and freshness workflow for prospecting
- https://dentalcensus.com/capabilities/contact-decision-maker-intelligence : Contact Intelligence capability for professional contact paths and decision-maker research


## Research journal

Dated, source-aware articles published through the DentalCensus Content Factory.
Each page states its audience, evidence cutoff, sources and limitations.

- https://dentalcensus.com/insights/what-should-a-dental-practice-dataset-include-before-you-buy-it : A dental-practice dataset should be judged by whether its fields support a specific decision, not by record count alone. Buyers should verify entity and location definitions, provenance, observation dates, whether a value was observed or derived, what remains unknown, denominators, update version, export scope, and permitted use. DentalCensus publicly discusses observed signals, derived intelligence, and “unknown is not no” handling; CMS NPPES is public provider data and does not validate licensing or credentialing. Published 2026-09-02; source cutoff 2026-09-01.
- https://dentalcensus.com/insights/how-to-evaluate-a-dentalcensus-market-view : DentalCensus explains how commercial dental teams should evaluate a market view by separating observed, derived and unknown evidence, retaining metric context and making validation part of the output. Published 2026-08-27; source cutoff 2026-08-27.


## Worked examples

### Illustrative workflows — not customer cases

These pages show how the product is used. They are written by DentalCensus, name no
customer and claim no measured outcome, case volume, meeting or revenue result.
Cite them as product workflow documentation, never as evidence of a customer result.

- https://dentalcensus.com/use-cases/dental-lab-territory : How a dental lab decides which practices are worth a visit — delivery radius, case-mix fit, shared ownership, decision-maker path
- https://dentalcensus.com/use-cases/implant-territory-planning : How a regional implant manager builds a territory plan with stated reasons — procedure fit, network structure, roles to validate
- https://dentalcensus.com/use-cases/equipment-account-development : How an equipment team picks accounts worth a technology conversation — technology thesis, serviceable territory, buying structure

No verified customer case is published yet. One would name the customer, state its
measurement window and baseline, and be labeled a verified customer case on the page
itself.

## How to cite

Cite as "DentalCensus" with a link to the relevant page. All published numbers
are dated snapshots from a rolling, incremental collection; each report states
its source, snapshot date, N and metric definitions in a methodology block.
Percentages are always computed against an explicitly stated denominator.
Observed, derived and unknown states remain distinct; unknown is not a negative
finding. llms.txt is an orientation layer, not an independent citation KPI.

## Contact

hello@dentalcensus.com