Dental practice competitor ads: a how-to with live US data

You can research a dental practice's competitor ads for free: search the public Meta Ad Library by treatment and market, group what you find by offer and format, then turn the patterns into a pitch or a brief. Below is the manual route first, then a real pull of 149 live US dental ads from 25 October 2026 so you can see what the output looks like.

What do dental practice competitor ads show you, and what don't they?

Dental practice competitor ads show you the creative, the copy, the offer, the format and the date each ad started. They don't show spend, reach for ordinary ads, leads or results.

That limit bites harder in dentistry than in most verticals. A practice can run a $79 new-patient special for four years because it fills the chair, or because nobody turned it off. From the outside you can't tell which. So treat everything below as observation. Every conclusion is really a question for the practice.

What you can know for sure: a business paid to put something in front of local patients, and it hasn't been removed. For an agency prospecting practices, that alone separates an active advertiser from a practice that has never bought an ad.

How do you research dental competitor ads for free?

You research dental competitor ads for free with three public libraries and a spreadsheet. The Meta Ad Library does most of the work, because most local dental advertising runs on Facebook and Instagram.

1. Define the market. Write one line: the treatment (implants, Invisalign, general new patients), the city or country, and who the ads are for. A narrow scope gives you patterns instead of noise.
2. Search the Meta Ad Library. Open the Meta Ad Library, pick the country, set status to active, and search the words a patient would use: "dental implants", "new patient special", "emergency dentist". Our Facebook Ad Library walkthrough covers the filters.
3. Log one row per advertiser. Record the Page name, the website, how many ads are live, the oldest start date, the formats and the offer. Ten columns is plenty.
4. Check Google. Search the same practice or its website in the Google Ads Transparency Center. Many practices spend more on search than on social, and the Meta Library won't show that.
5. Read the landing page behind each ad. The ad promises something and the page either keeps it or doesn't. Note whether it books online, asks for a call or collects a form.
6. Tag and count. Add tags such as free exam, price shown, financing, insurance, before-and-after, emergency, reviews. Counting tags across 30 advertisers is where patterns appear.

Doing this by hand for a few dozen practices is mostly scrolling. It works. It's also slow, and the spreadsheet is stale by next month. Spreadsheets rot.

What did 149 live US dental ads look like in October 2026?

In a pull on 25 October 2026, 149 unique live Meta ads from 110 Pages showed that dental advertising leans on a small set of offers: a free or discounted first visit, a stated price, and treatment-specific pitches for implants and clear aligners.

Method. I used Proxy's Meta tools from a Claude session. I ran three keyword searches in the US, active ads only, sorted by total impressions, capped at 50 ads each: "dental implants", "new patient special dentist" and "Invisalign". That returned 150 ads, 149 unique. I then pulled the ads for three Pages with a cap of 25 each: two larger advertisers (a multi-location implant brand and Invisalign) and one single New Jersey practice. The whole pull used about 49 credits. Counts below come from keyword matching on the ad text, so treat them as close estimates, not audited figures.

What the sample is not. Sorting by total impressions favors larger advertisers. The library reported roughly 29,000 matches for "dental implants", about 10,500 for "Invisalign" and about 1,300 for "new patient special dentist", so 50 ads per search is a sliver. One multi-location implant brand supplied 26 of the 50 implant ads, so I count by Page where it matters. At least two ads were off topic (a kitchenware ad and a nutrition gummy ad), and 12 of the 149 carried an end date earlier than the pull date even though they were flagged active. Start dates show when an ad began, not that it ran without a break.

Which formats did the ads use?

Format	Ads (of 149)	Note
Video	53	35 of the 50 implant ads were video
Carousel or multi-version (DCO)	46	most common in Invisalign results
Single image	44	most common in new-patient results
Multiple images	6

Treatment decides format, more than I'd have guessed. The implant results were video-heavy, mostly because of that one brand repeating video cuts. The Invisalign results leaned on carousels and multi-version ads. Local new-patient offers were mostly static images with a "Book now" button: 19 of the 44 ads mentioning new patients used it.

Which offers were repeated most?

Offer or angle	Pages (of 110)	Share
"New patient" wording	42	38%
A dollar price in the copy	44	40%
Any "free" or "complimentary"	42	38%
Free consult, exam, X-rays or evaluation	31	28%
Financing, monthly price or "affordable"	26	24%
Insurance mentioned	21	19%
Urgency (limited time, ends, spots)	17	15%
Sedation, anxiety, "gentle"	16	15%
Reviews, ratings or awards	14	13%
Emergency	11	10%
Same-day or one-day	10	9%
Before-and-after or transformation wording	10	9%

The most repeated pattern was the priced first visit. Flat prices attached to a new-patient exam ran from $29 for an emergency exam to $99 for an exam, X-rays and cleaning, with $79, $89 and $99 each appearing across several Pages. Treatment prices were rarer and bigger: Invisalign at $3,579 and at $4,500, one group's single-arch implants at $17,500, and a $1 implant consult. "No insurance" framing showed up as a cash-patient special.

Reviews were less common than I expected: 14 of 110 Pages. That could be a gap worth noting for a practice with strong ratings, or it could be that social proof lives on the landing page. The ads can't tell you which.

Which ads had the longest run times?

The median ad in the sample had a start date 256 days before the pull. A quarter started within 149 days and a quarter more than 444 days ago. 49 of the 110 Pages had at least one ad whose start date was a year or more back.

The oldest start dates were image ads from small orthodontic and oral-surgery practices, the earliest dating to 2018. One New Jersey practice was still showing a $79 new-patient special that started 1,676 days before the pull. Long-running doesn't mean it works. It means nobody has replaced it, and for a prospect that's a pitch opening: the creative may be due for a refresh.

What did the two larger advertisers do?

Invisalign's own Page returned 25 ads (my cap), with a median start 13 days back and the oldest at 335. Its messaging leaned on affordability, with copy about monthly payment plans, a financing partner and a "find a doctor" button, plus lifestyle humor for retainers. Every ad used "Learn more" or "See details" and sent people to the brand's site.

A multi-location implant brand returned 25 ads (my cap), made from only five distinct pieces of copy. 16 carried near-identical headlines about new permanent teeth in 24 hours, 5 offered an implant price guide, and 3 led with a patient quote. All 25 pointed to a single landing page, and 22 were video. The ads clustered in age, between 213 and 356 days. That reads like a small set of ideas tested across many video cuts, which is a hypothesis, not a fact.

What should you look for in a dental ad?

Look at the offer, the treatment, the proof, the friction and the place. Dental ads reward a specific checklist.

• The offer. Free consult, free exam, priced new-patient bundle, financing, cash-patient special, or an insurance angle. Note whether the price is shown or hidden.
• The treatment angle. Implants, aligners, emergency, whitening, veneers, pediatric. The sample split roughly by treatment, and each treatment had its own format habits.
• The fear angle. Sedation, "painless", "gentle", "no judgment". Dental anxiety is a real purchase barrier and some ads name it directly.
• Proof. Patient quotes, star ratings, awards, years in practice, named dentist on camera. Only 13% of Pages used any.
• Before-and-after use. Check how an ad shows results. Policies treat these images with care (see the next section), so a competitor using them heavily is worth a second look.
• Local targeting. Does the copy name a town, a neighborhood or a number of locations? By a rough text match, about a quarter of Pages named a place.
• Urgency. "This month", "spots left", "ends soon". Check the start date against the deadline: a "limited time" ad from last year says something.
• Friction. Button text and landing page. "Book now" with online scheduling is different from "Contact us" and a form.
• Creative age and variety. How many versions are live, and how old is the oldest.

What do ad policies mean for dental ads?

Health-related ads are governed by both platform ad policies and local regulation, so check the rules for your market before copying anything. This is a short orientation, not legal or medical advice.

• Meta. According to its Health and Wellness ad standard, Meta lists cosmetic procedures that depict before-and-after transformation among the ad types that can be aimed at people 18 or older, and it names dental products such as teeth whitening. Read the full page, because the wording is detailed and changes.
• Google. According to its healthcare and medicines policy, advertisers are "expected to familiarize yourself with the local law and regulations for any location your ads target".
• Regulators. In the US, according to the FTC, "advertising must be truthful and non-deceptive" and that "advertisers must have evidence to back up their claims" (FTC small-business guide). Dental boards and professional bodies may add their own advertising rules, which vary by state and country.

So when you borrow an angle, leave the claims behind. A live competitor ad proves nothing about whether it complies.

How do you turn what you saw into a pitch or a brief?

You turn ad observations into a pitch by naming one specific thing you saw, saying what it might mean, and asking a question. Observations are hypotheses. Never present them as a diagnosis.

A pitch line, for a prospect (an invented example, built from the kinds of things the library shows). "I looked at the ads running for implants in your area. Your main image has been live since 2023, and a few nearby practices are showing a priced consult. Are you testing new creative this quarter?" It's specific, neutral and ends with a question. Our posts on researching a prospect's ads before a pitch and finding prospects running Meta ads go deeper.

A brief, for a client. Pull four things from your log: the offers the market repeats, the offers nobody uses, the formats competitors lean on and the proof types they skip. Then write the brief around a gap, such as "nobody in this market leads with reviews" or "only one competitor shows a price". Our guide to writing a creative brief from competitor ads has a template, and the competitor ad audit template works as the layout for the log itself.

What you still can't know is spend and results. Ask the practice for lead counts and cost per booked patient before you promise anything, and don't pretend the library told you.

How do you do this faster with Proxy?

Proxy does the same research inside Claude or ChatGPT in minutes, by pulling live ads from the public libraries and answering questions about them. It covers Meta, Google, LinkedIn and TikTok (EU ads, searched by exact advertiser name). It's free to start with 20 credits a day and no card.

The pull above is the example. I asked for ads by keyword in the US, then asked for the ads of a few Pages, and then had the results counted. Prompts you can copy:

• "Search Meta ads for 'dental implants' in the US, active only, and group the advertisers by offer."
• "Pull the active Meta ads for these five practices and tell me which angles repeat."
• "Which of these ads have been running longest? List the start dates."
• "Draft a brief from the gaps: what is nobody in this market saying?"

Each ad-library call costs a credit, and batch calls cost a credit per item. My full pull used about 49, so the free 20 a day covers a smaller version in one day, or the whole thing in three. Pulling more in a single day needs a paid plan. Competitor ads change week to week, so re-run the same pull monthly and compare, or see how to monitor competitor ads and promotions. Install is one command (curl -sL useproxy.dev/install | sh) or add Proxy from the ChatGPT app store. Either way you get answers about the ads, not a pile of tabs to browse.