An AI readiness report.

AI is becoming the front door to search.

For twenty years, getting found meant ranking in Google's list of blue links. For a dental practice, most new patients still arrive the familiar way: the Google map pack, reviews, and word of mouth. What's changing is that a growing share of people now ask a question instead, to ChatGPT, to Google's AI answer at the top of the page, or to a phone assistant, and act on the one answer it gives. For a practice, that adds a new way to get found, or missed: whether an AI names it when someone asks who takes their insurance.

Sources: Pew Research (2025); BrightEdge via SQ Magazine (early 2026). Trackers vary, so the 48% is one firm's estimate. The direction is the point.

None of this needs an opinion about whether the shift is good, and it doesn't replace local search yet. It's a fast-growing layer on top, measurable and worth getting ahead of. The practical question for any practice: when a new patient asks an AI who to book, does its name come up?

It repeats back whatever it can read.

An AI isn't magic, and it doesn't form opinions about anyone's clinical work. It answers a local question one of two ways: from what it absorbed during training, or by reading websites and listings on the spot and summarizing them. Either way, it can only repeat what's written somewhere it can read.

Cedar Ridge has the first part, clear text a person reads. It also has a starter version of the second: a basic Dentist schema block on the homepage with the name, address, and phone, which is more than most practices manage. What's missing is the structured data that answers the two questions a new patient actually asks before booking, do you take my insurance, and can I get in this week.

Structured data is a small, hidden block of code in a page. A person never sees it. Google and AI tools read it first, because it states facts as labeled data instead of a sentence they have to interpret. The same information, two formats:

The left is a sentence a machine has to interpret. The right is a fact sheet in the machine's own language, sitting in the page's code. Cedar Ridge publishes the name and address part of that fact sheet, but not the insurance, availability, or rating part, which is the part a new patient is searching for. The next sections show what that produces.

Asked who takes Cigna, Cedar Ridge wasn't named.

We asked the two leading AI tools, ChatGPT and Google's AI, the question a growing number of new patients now ask out loud: which dentists around here take Cigna and are taking new patients, and which two would you pick? Neither one named Cedar Ridge. That isn't a verdict on the practice. It's that the answer to both questions, the insurance and the availability, was never published in a form these tools can read.

Why those names and not Cedar Ridge? It came down to things these tools can read, none of them the quality of the dentistry, which AI doesn't measure:

• Review volume. Brightside Dental Group, the DSO-backed group, got a pick on count: roughly 1,300 Google reviews to Cedar Ridge's ~510.
• Booking and availability. Brightside and Clearwater both publish online scheduling, so they answer "can I get in this week?" before anyone picks up the phone. Cedar Ridge offers a callback form.
• Rating. Cedar Ridge's 4.9 is the highest in the set, above the group's 4.7, but neither tool weighed it.
• On-page content. The named practices carry an answered FAQ and an insurance-legible page. Cedar Ridge's insurance answer lives in prose with no FAQPage schema, so the tools had nothing to quote.

AI answers shift by date, location, account, and exact wording, so a re-run won't match these word for word; the pattern is what holds.

What the site hands an AI, line by line.

This looks at one thing: how readily an AI tool can pull Cedar Ridge's details from its site and trust them. Each line below is the kind we check against the live site, so each is verifiable.

The two items marked present, readable text and a basic schema block, are why this isn't a failing grade: a machine can already read who Cedar Ridge is. The three marked absent are the signals that turn a credible site into a booked appointment, and they're exactly the questions a new patient asks. The grade reflects that gap, not the quality of the care.

The five practices, side by side.

We read the live code of the most visible dental practices in the area and paired it with each one's Google rating and review count. The table records what we found.

Schema and booking are read from each site's live code; review counts are each practice's Google total, checked the same week; ratings are approximate. "Basic only" means a Dentist schema block with no FAQPage; "Yes (FAQ)" means it carries the FAQPage markup AI tools quote.

Cedar Ridge's 4.9 is the highest in the set, tied with Clearwater, and it earned that on ~510 real reviews. The honest read on the other side: Brightside Dental Group, the DSO group, is the most complete here, with FAQ schema, a blog, and online booking. It bought that infrastructure with a marketing budget an independent can't match, and it still sits at a lower 4.7. Cedar Ridge has the better reputation and the weaker machinery. Closing the booking and insurance gaps is what evens that out.

FAQs and blog posts, and who has them.

When an AI answers a specific question, it pulls from pages that answer that question in plain text. Two kinds of page do this work, and they feed Google and the AI tools alike.

Across the same five practices, the answer-content varies:

• NeitherCedar Ridge: no FAQ page and no blog, so the insurance and Invisalign questions go unanswered on the site it controls.
• BothBrightside Dental Group: an answered FAQ with schema plus a blog. The most answer-content in the set, and the reason the AI layer points its way.
• FAQRiverstone Dental: a real FAQ page covering common questions. No blog.
• BlogClearwater Dentistry: a blog with regular articles. No FAQ.
• NeitherHearthside Family Dental: no FAQ and no blog, same gap as Cedar Ridge but without the 4.9 behind it.

When an AI looks for who to recommend on a specific question, it draws from the practices that have written the answer down. In this group, the DSO has the most, and Cedar Ridge has the least, despite owning the best reputation. It's a difference in what's on the page, not in the care behind it.

The factors behind the differences above.

A few factors account for most of the gap between the practices AI surfaces and the ones it skips. Some live on the site, some on Google's side. None requires rebuilding what's there.

Tools in use across dentistry, and what each does.

Plain descriptions, no brand names. Each one addresses a specific operational problem. Because this is healthcare, anything that touches patient information, names, appointments, treatment, needs a signed BAA and a HIPAA-aware vendor; that's not optional. The notes mark where a single independent practice most often sees fast payback.

No practice uses all of these. For one of Cedar Ridge's size, the typical fit is two or three, not the whole list. The foundation, though, is the same for everyone: make the reputation legible and the front door open, so the machines that now do the recommending can actually read it.