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toothlocal AI Review Index · October 2026

Patients are using AI to complain about their dentists. Dentists are using AI to reply.

We read 24.7 million reviews of 164,946 US dental practices. For two years after ChatGPT arrived, almost nothing changed. Then, in 2025, AI turned up on both sides of the argument.

1 in 15

one- and two-star reviews in 2026 shows the marks of AI writing. That's 12 times the 2023 rate.

1 in 4

practice replies to those complaints reads as AI-written in a blind test. In 2021 it was 1 in 120.

36 → 2,303exchanges with AI markers on both sides, 2023 against 2026 so far
16×rise in AI stock phrases, with em dashes left out
15,497practices put an em dash in a reply this year
Key statistics

AI-generated review statistics, 2026

  1. In 2026, 1 in 15 one- and two-star reviews of US dental practices shows signs of AI writing (6.8%), up from 0.57% in 2023: 12 times higher.

  2. About 1 in 4 dental practice replies to complaints reads as AI-written in a blind test of recent replies (28 of 120), against 1 of 120 replies from 2021.

  3. Complaints where both the patient's review and the practice's reply carry AI-writing markers rose from 36 in all of 2023 to 2,303 from January to September 2026.

  4. 15,497 US dental practices used an em dash, a common sign of AI text, in a reply to a review in 2026, up from 1,265 in 2023.

  5. Without counting em dashes, stock AI phrases in dental complaints rose 16-fold, from 0.2% of complaints in 2023 to 3.3% in 2026.

  6. Five-star dental reviews with AI-writing markers rose from 0.22% in 2023 to 1.75% in 2025, about 1 in 57.

  7. Washington DC has the highest share of AI-marked dental complaints (8.2% since January 2025) and West Virginia the lowest (2.5%).

  8. Complaints about orthodontists are the most likely to show signs of AI writing (8.7%); complaints about denture centers the least (2.6%).

  9. AI-marked dental complaints average 1,331 characters, more than twice the 599 of other complaints.

Source: toothlocal AI Review Index, October 2026, from 24.7 million reviews of 164,946 US dental practices, January 2021 to 20 September 2026. Free to quote with a link to this page. How each figure is measured: Method and How sure are we?

The curve

Two quiet years after ChatGPT. Then 2025 happened.

ChatGPT launched in November 2022 and dental reviews barely noticed. The share of complaints with AI markers crept from 0.4% in 2021 to 1.3% in 2024. In 2025 it quadrupled, and it is still climbing: 7.3% in September 2026. Five-star reviews moved too, just less: from about 1 in 400 before 2024 to 1 in 60 in 2025.

Move across the chart, or tap it, to read any month. Tap a key to show or hide a line.

Monthly share of written reviews with at least one AI-writing marker, January 2021 to 20 September 2026.

AI on both sides

The chatbot writes the complaint. Another one writes the apology.

Picture the exchange. A patient asks a chatbot to turn a bad visit into a review. The practice pastes that review into a chatbot of its own and posts the reply it gets back. Neither side typed the words.

We can count how often both halves carry AI markers. In all of 2023 we found 36 of these exchanges. In 2025 there were 1,952. In 2026, with more than three months still to go, there are already 2,303, at 2,047 different practices.

Point at a year, or tap it, for the numbers.

One- and two-star reviews where the review and the practice's reply both carry an AI-writing marker. 2026 runs to 20 September. Markers miss a lot of AI text and catch some human writing; see How sure are we?

The other side of the counter

Dentists picked up the habit in 2025

Until 2024, about 1 in 270 practice replies to complaints contained an em dash, the long dash chatbots are fond of. In 2025 it jumped to 1 in 20, and it has stayed there. This isn't a handful of big chains with one template: 15,497 different practices used an em dash in a reply this year, up from 1,265 in 2023. Independent practices do it more than chains.

Point at a year, or tap it, for the numbers.

1 of 120replies to complaints from 2021 read as AI-written in a blind test.
28 of 120replies from July 2025 to September 2026 did, each from a different practice. About 1 in 4.

Chart: share of replies to one- and two-star reviews containing an em dash, by year of the review. The blind test is described under How sure are we?

The fingerprints

What AI sounds like on both sides of the counter

We didn't start with a list of AI words. We counted every three-word phrase in 1.2 million complaints, and in the practices' replies to them, and ranked them by how fast they grew. The winners are phrases almost nobody used before 2023.

The complaint

hope this feedback
4559reviews
dismissive and unprofessional
4461reviews
strongly advise others
1450reviews
writing to express
1403reviews
raises serious concerns
0391reviews
unfortunately this experience
1382reviews
patients deserve transparency
0223reviews
writing to formally
0201reviews

Uses in one- and two-star reviews, 2020 to 2021 against January 2024 to September 2026.

The apology

take concerns like
61,328practices
left you feeling
141,295practices
remain committed to
101,203practices
work toward improving
01,076practices
opportunity to connect
41,064practices
input is valuable
0850practices
genuinely sorry to
4787practices
provide clear communication
4750practices

Independent practices using the phrase in a reply to a complaint, 2020 to 2021 against 2024 to 2026. We counted practices, not replies, and left chains out, so one company's template can't top the list.

The tell that stopped telling

Take away the em dash and the curve still climbs

The em dash is the best-known giveaway of AI text, so it's fair to ask whether it drives the whole trend. It doesn't. In complaints the dash peaked in July 2025, when 6.2% carried one, and it has not been that high since. The stock phrases, counted with no help from the dash, kept rising: 0.2% of complaints in 2023, 3.3% in 2026. That's 16 times. AI-assisted reviews are getting harder to spot, not rarer.

Move across the chart, or tap it, to read any month. Tap a key to show or hide a line.

Can you still trust what you read?

Polished isn't the same as fake

A complaint written with a chatbot's help can still describe a real visit. Plenty of people have something true to say and want it to sound calm, or want it in better English than they can manage when they're angry. What changes is how much the wording tells you. Smooth, formal prose used to mean a careful writer. Now it can mean anyone.

So read for the things a chatbot can't make up on its own: dates, names, amounts, what happened next. A review with those is worth weighing however it was written. One without them tells you little either way.

Review sites are seeing the same shift. Yelp said its systems filtered out nearly half a million suspected AI-generated reviews in 2025. Yelp's report

For patients

Weigh reviews by their details, not their tone. Several plain reviews that agree on specifics beat one eloquent one.

For practices

An angry patient can tell when a reply was generated. Answer the person, in your own words, and say what you'll do.

For review sites

The em dash test is already failing as writers and tools drop it. Detection that leans on one tell will keep losing ground.

Where

The coasts type with AI. Appalachia mostly doesn't.

Washington DC leads at 8.2% of complaints, ahead of California, Massachusetts, Maryland and Virginia. West Virginia, Maine and Kentucky sit lowest, between 2.5% and 3%.

Tap a state for its numbers, or a color band to pick out its states.

One- and two-star reviews since January 2025. Gray states had fewer than 800 complaints.

Who

Orthodontist complaints lead. Denture centers trail.

Complaints about orthodontists are the most AI-marked of any kind of practice, at 8.7%, followed by gum specialists and children's dentists. Denture centers sit lowest, at 2.6%. We haven't measured who writes these reviews, so we won't guess why.

6.9%of complaints about independent practices are AI-marked
4.8%of complaints about chain practices

Since January 2025. A chain is a group of practices sharing one owner's website.

Longer and more formal

AI complaints run twice as long

An AI-marked complaint averages 1,331 characters, about 230 words. An unmarked one averages 599. On five-star reviews the gap is wider still.

Average length of reviews posted since January 2025.

How sure are we?

We tested the markers against a blind read

Markers are a blunt tool. Some people type em dashes themselves, and plenty of AI text has none of our phrases. So we drew random samples and gave them to a separate AI model to judge, one at a time, with the dates removed and the order shuffled. Nobody on our side picked the samples.

Judged AI-writtenComplaintsReplies to complaints
From 2021, before ChatGPT0 of 1501 of 120
From July 2025 to September 202614 of 1509%, likely range 6 to 15%28 of 12023%, likely range 17 to 32%
Recent, with AI markers84 of 15056%, plus 22% unsure41 of 10041%, plus 28% unsure
Recent, without AI markers10 of 1507%20 of 10020%

What it adds up to: about 1 in 11 recent complaints and about 1 in 4 recent replies read as AI-written. The old samples show the reader isn't seeing AI everywhere: it flagged 1 of 270 reviews and replies from 2021.

For complaints the markers hold up. Only 0.4% of complaints from 2021 carried one, so false alarms are rare, but the markers catch only about 4 in 10 of the complaints the reader judged AI-written. That makes the index a floor. For replies the markers work less well, which is why our reply headline comes from the blind read, not the markers.

The reader is software, not a panel of people, and judging AI text is hard for anyone. Treat the exact figures as estimates. The direction isn't in doubt: every measure we tried, markers and blind reads alike, moves the same way at the same time.

For journalists

Three stories in this data

National

AI is writing both sides of customer complaints

Patients use chatbots to complain and practices use them to reply. Exchanges with AI markers on both sides went from 36 in all of 2023 to 2,303 by 20 September 2026.

Consumer

Can you trust online reviews when choosing a dentist?

About 1 in 11 recent dental complaints reads as AI-written. Polished isn't fake, but it says less about the writer. What to read for instead.

Local

Your state's rank for AI-written dental complaints

43 states and DC, ranked. Pick a state for its figures, a ready-made paragraph and its own chart.

Headlines that fit the data

  • Patients Are Using AI to Complain About Dentists. Dentists Are Using AI to Reply.
  • 1 in 15 Angry Dental Reviews Now Shows Signs of AI Writing
  • A Chatbot Writes the Complaint. Another Writes the Apology.
  • AI-Marked Dental Complaints Rose 12-Fold in Three Years
  • About 1 in 4 Dentist Replies to Complaints Now Reads as AI-Written
  • The Em Dash Is Fading From AI Reviews. The AI Isn't.
  • Complaints About Orthodontists Are the Most Likely to Show Signs of AI
  • Washington DC Leads the Country in AI-Marked Dental Complaints

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Cite

Charts and data are free to use with a credit and a link to this page. Every chart is a ready-made image with the source on it.

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Data

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Method

How we measured it

The reviews
24.7 million written reviews of 164,946 US dental practices on public business listings, June 2007 to 20 September 2026, with the practices' public replies. The trend uses January 2021 onward.
AI markers in reviews
A review is AI-marked if it contains an em dash or one of 53 phrases that rose from near zero in 2020 to 2021. We found those phrases by ranking every three-word phrase in one- and two-star reviews by growth, not by guessing.
AI markers in replies
A reply is AI-marked if it contains an em dash or one of 30 phrases found the same way in replies to complaints, counted by independent practices so chain templates couldn't set the list. Legal and privacy wording was left out.
The blind reads
Random samples (for replies, one per practice), dates hidden, order shuffled, judged by a separate AI model told that many people write long or formal reviews themselves and that an old stock template is not AI. Ranges are 95% intervals.
Why the index is a floor
AI text without these markers is not counted. People who type em dashes themselves are, which is why we checked with the blind reads.
Practice types and chains
Practice type comes from each listing's main category. A chain is a set of practices sharing one owner's website, after removing marketing platforms, health systems and listings that point to unrelated sites.
More
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There is not a single em dash in this report. We checked.