How to Track AI Search Traffic to Your Dental Practice (And What the Numbers Actually Mean)

You spent years building a reputation in your community. Your Google reviews are solid. Your website is clean. Patients find you, mostly through referrals, a little through Google.

And now there is a new channel you cannot see, cannot measure, and cannot control.

When a potential patient opens ChatGPT and types "best dental implant specialist in [your city]", AI gives them three names. When they ask Perplexity "is dental sedation safe?", AI cites specific practices as trustworthy sources. When they Google "affordable veneers near me" and Google AI Overviews (the AI generated summaries that appear at the top of Google search results) appear at the top of the page, one practice gets recommended. One does not.

You do not know which one is yours. That is the problem.

And if you are reading this thinking "well I'd know if I was getting AI traffic", you would not. Not without the right setup. AI recommendations that do not include a link leave zero trace in your analytics. They happen invisibly, and you lose the patient without ever knowing you were in the running.

By the end of this article, you will have a system that shows you where you stand in AI search: what AI engines say about your practice, how often you appear, how you compare to competitors, and what to fix to improve your position.

That was the reality in 2024. It is not the reality anymore.

As of 2026, AI search engines including ChatGPT, Perplexity, and Google AI Overviews are sending referral traffic to websites they cite. Practices that set up tracking now can establish a baseline before competitors who wait.

This article walks you through the setup in under an hour, using Google Analytics 4 (GA4) and a citation tracking trial.

Why This Matters Right Now

For years, AI search was a black box. ChatGPT would answer a question and cite no sources. Perplexity would recommend a service and link to a generic directory. Your practice had no way of knowing whether AI engines were mentioning you, ignoring you, or actively steering patients somewhere else.

That changed in 2025 and accelerated in 2026.

The previous article covered research showing that 42% of ChatGPT answers include direct website links. Perplexity also cites sources, and Google AI Overviews link to pages used in their answers. Those links create opportunities for measurable visits.

What this means for your practice: AI search is no longer a vague brand awareness channel. It is a real referral source with trackable traffic, one that is growing faster than any other acquisition channel in local healthcare.

Some visits appear in GA4 as referrals from chatgpt.com or perplexity.ai when referrer information is passed. Google AI Overview clicks are generally mixed with Google search traffic. Referral reports do not capture every AI recommendation.

Right now, most dental practices are absent. That is also the opportunity.

Step 1: Find AI Referral Traffic in GA4

Google Analytics 4 does not have an "AI Search" category yet. But some of the traffic is already there, you just need to know where to look.

Important limitation up front: GA4 can only track AI referral traffic when an AI engine passes referrer data to your site. Not all of them do. Here is the breakdown:

chatgpt.com ✓ Shows under Acquisition → Traffic Acquisition as a referral source when a user clicks a link from a ChatGPT conversation

bing.com: Bing traffic can include Copilot related clicks, but a Bing session alone does not identify a Copilot referral. Keep this source separate from confirmed AI referrals.

google.com AI Overview clicks appear mixed in with organic Google traffic; difficult to isolate without additional setup

perplexity.ai: Visits can appear as referrals when referrer information is passed. Other visits can arrive without an identifiable referrer and be attributed differently, including as direct traffic.

This is why you need Step 2. Citation tracking monitors whether an AI engine mentions your practice, including recommendations that produce no identifiable visit in GA4.

How to pull the GA4 report:

1. Open GA4 and go to Reports → Acquisition → Traffic Acquisition

2. Set the date range to the last 90 days

In the table, choose Session source / medium, then search for chatgpt.

Record the sessions, then check perplexity and any other identifiable AI sources. Record Bing traffic separately because it includes standard search visits.

Record these numbers as your referral baseline in GA4.

Zero identifiable AI referral sessions does not mean AI engines are ignoring you. They can mention your practice without a link, or visits can arrive without identifiable referrer information. Step 2 adds citation tracking to the picture.

What to record:

Note your current session counts from each trackable AI source. This is your GA4 baseline. Every 30 days you will compare against it.

Track Perplexity referrals in GA4 when they are identifiable, and track mentions and citations separately through Otterly in Step 2.

Step 2: Set Up Citation Tracking with Otterly.ai

GA4 only captures AI traffic when someone clicks a link from an AI engine to your website. But AI engines recommend practices all the time without including a clickable link, especially in summarized answers and voice results.

This is where Otterly.ai fills the gap. I have used it on my own website to track AI visibility, and it changed how I understand citation signals. Before Otterly, I was tracking AI mentions manually in an Excel sheet, logging every query, checking each platform by hand. It worked, but it was slow. Otterly automates that and adds a layer of signal analysis that manual tracking cannot give you.

What Otterly actually shows you:

Otterly monitors ChatGPT, Perplexity, and Google AI Overviews and reports:

Where you appear, which queries your practice shows up in across AI platforms

Signal strength, how strongly AI engines associate your practice with a given topic or query, and where your signals are weak

Citation percentage, what share of relevant queries include a direct link to your site versus a mention with no link

Competitor comparison, how your citation rate stacks up against other practices in your market

Actionable report, what to fix to make your signals stronger

You get a report you can act on. Where your signals are weak, you know what content to create. Where a competitor is outranking you on a query, you can see it clearly and build against it.

One honest caveat:

Otterly is good, but it does not catch everything. When I compared its data against my own manual Excel tracking, my spreadsheet showed me appearing for more queries than Otterly reported. So I use it as a strong directional signal, not an exhaustive audit. If you want a complete picture, layer Otterly on top of manual spot checks on the queries that matter most to your practice.

Before you sign up:

This is not a sponsored recommendation. Otterly offers a free trial and paid plans. Check the current terms before signing up, and make sure the return on investment (ROI) makes sense for your budget and goals. Use the trial to evaluate whether it replaces enough manual tracking to justify its cost.

Setting up Otterly.ai:

1. Go to otterly.ai, check the current trial and pricing terms, and create an account.

2. Click Add Brand and enter your practice name exactly as it appears on Google Business Profile

3. Add your city and specialty (example: "dental implants Austin TX")

4. Add 5 to 7 competitor practice names so you can compare visibility

5. Add the queries your patients actually use, not dental jargon, patient language:

◦ "best dentist near me"

◦ "dental implants [your city]"

◦ "affordable veneers [your city]"

◦ "emergency dentist [your city]"

◦ "teeth whitening [your city]"

6. Review results weekly using the tracking schedule available in your plan.

What Otterly shows you:

Mention rate, what percentage of tracked queries include your practice name in the AI answer

Citation rate, what percentage of those mentions include a link to your site

Competitor comparison, which practices are appearing more often than yours for the same queries

Answer text, the exact language AI engines use to describe your practice when they do mention you

The mention rate is the number to watch first. A practice with a 0% mention rate on tracked local queries has a visibility gap within that query sample. A practice with a 20% mention rate and a 5% citation rate is mentioned more often than it is linked. Review the answers and cited sources before deciding what to change.

Both problems are fixable. But you cannot fix what you cannot see.

What Good Numbers Look Like

There are no official benchmarks for AI search visibility in dental yet. The ranges below are illustrative working frameworks, not verified industry benchmarks. Traffic counts alone do not establish local authority, and zero tracked sessions does not prove that your practice is absent from AI answers.

GA4 AI referral sessions (per month):

Otterly.ai mention rate (for local queries):

How to know if you are gaining or losing ground:

Compare month over month. The direction matters more than the absolute number in the early stages. A practice going from 0 to 3 identifiable Perplexity sessions is gaining tracked traffic. A decline from 15 sessions to 8 warrants checking citations, patient demand, content, and tracking. It does not prove that a competitor has displaced you in model training data.

If your numbers are flat or declining, review the content alongside tracking and citations. AI engines cite pages that directly and specifically answer patient questions. A page titled "How Long Do Dental Implants Last in [City]" answers a more specific question than a homepage that says "We provide comprehensive dental care."

The tracking system you just set up will show you exactly where the gaps are.

The 12 Month Window

AI search is not a trend you can wait out. It is the direction search is going, and the practices that establish authority in it now will be the ones AI engines default to recommending in their market for years to come.

Here is an illustrative 12 month scenario for a practice that sets up tracking today versus one that waits. It is not a promised result:

Practice A (starts tracking now): Month 1: Baseline established. Zero identifiable AI referral sessions. Month 3: First AI referral sessions appear after publishing two answer first content pages. Month 6: 15 to 20 monthly AI sessions, with a 12% mention rate on tracked implant queries. Month 12: A year of measured results and content improvements to compare.

Practice B (waits until it "becomes a bigger thing"): Month 12: Sets up GA4 tracking. Discovers Practice A has been building AI authority for a year. Starts from zero against an established competitor.

The measurement setup in this article takes less than an hour. Once it is running, you will know exactly where you stand in AI search, and exactly what to do next.

Guey Lab helps dental practices read their numbers and build content strategies. Connect with Edgar Lucas on LinkedIn to discuss your practice’s AI search baseline.

Frequently Asked Questions