Early audited cohort · July 2026
What 2,163 dental websites reveal about digital readiness
DentalPresence independently crawled a bounded set of public pages for U.S. dental practices and scored observable website, local-search, patient-trust, and AI-readiness signals. The sample-domain website example.com was excluded; no example.com audit is included in these results.
2,163
completed website audits
86.76
corrected average score
89
median score
41.66%
without detected dental structured data
25.38%
with limited useful content on a scanned page
25.06%
without a clear booking link
The clearest opportunity is machine-readable practice identity
Structured data was not detected on 901 sites (41.66%). That leaves search engines and AI systems with fewer explicit signals about the practice entity, address, phone, and services. Content depth and conversion paths form the next practical layer: 549 audits found a scanned page with limited useful content, while 542 found no clear booking or appointment link.
Corrected category averages were 97.42 for Local SEO, 89.79 for AI visibility, 87.34 for patient trust, and 72.21 for website fundamentals. These results point to technical and content execution—not clinical quality—as the largest observable gap.
Methodology correction
The July worker had already identified a Google Place ID but did not pass its derived Business Profile URL to the audit engine. That imposed the same artificial 16-point Local SEO penalty, equal to four overall points, on every completed worker audit. The case study reports the deterministic corrected values: mean 86.76, median 89, interquartile range 82–94, 90th percentile 97, and range 61–100. No website was re-crawled to make this correction.
Limits and responsible interpretation
This is an early audited cohort, not a random sample of every U.S. dental office. It contains 2,163 completed audits across 1,960 domains, so multi-location or duplicate-domain observations can occur. Results describe public website signals at crawl time and must not be used to infer credentials, care quality, safety, or patient outcomes.
The production index now records source provenance and methodology cohort, reuses one crawl per normalized domain for 30 days, checks open place datasets before metered Google matching, and requires at least two independent identity signals for an automatic open-data match.