Patients now ask ChatGPT, Perplexity, and Google AI for one recommendation, not ten links. We measure the three things that decide whether an office gets named: mobile speed, SEO structure, and AI readiness.
Real measured data via Google PageSpeed. No login. One office at a time.
Running diagnosis
Loading the site the way a patient's phone would
Check the URL and try again.
Diagnosis ·
Overall health
Mobile time-to-hero
The metric a patient feels first. Google's pass line is 2.5s.
How fast it loads on a phone. Slow pages bounce patients and lose AI crawlers.
Titles, headings, and sitemaps that tell search engines what the office is.
Schema, entities, and llms.txt that let AI engines cite the office by name.
Top findings
Locked
Unlock the full diagnosis, the fix for each finding, and what this looks like across all your locations. We'll email you a copy.
At portfolio scale
A group doesn't have one website problem. It has one per location.
Estimated by applying this office's results across the locations you entered. The exact mix varies per site; we confirm each one in the full portfolio audit.
The full diagnosis
WorldTech Miami rebuilds dental group websites for the AI-search era: fast, structured, and citable, engineered once and rolled out office by office.
The blind spot
Patients search for the office on the door, not the corporate brand. Every branded office is its own problem, and the umbrella brand can look healthy in a dashboard while the patient-facing sites stay invisible in AI search. This diagnosis shows where one office stands in under a minute. Then you scale the picture across the portfolio.
If a mobile page is slow, patients bounce, and the same weakness that hurts paid conversion makes the site harder for AI to read and cite.
Titles, headings, and sitemaps are how engines understand each office. Missing structure buries high-intent local pages.
Schema, provider entities, and llms.txt are what let ChatGPT, Perplexity, and Google AI confidently recommend the office by name.