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A healthcare marketing agency can track how AI assistants answer each client's patient questions with AI Visibility in Curve Compliance. It shows how often ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini name and cite each client, ties those answers to the visits and bookings they bring, and turns the gaps into a weekly roadmap sized to what that client's clinicians can publish. AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service.
Clients asking what ChatGPT says about them? AI Visibility gives your agency that answer, client by client. Book a call to see AI Visibility on your own questions, or to talk about the managed service.
Why healthcare clients ask about AI answers now
Many patients now take health questions to AI assistants. OpenAI's January 2026 healthcare report says “More than 40 million turn to ChatGPT every day with healthcare questions” and that “seven in 10 healthcare conversations in ChatGPT happen outside of normal clinic hours” (OpenAI). KFF's March 2026 poll finds “about a third (32%) of adults are turning to AI for health information and advice,” and “About six in ten (58%) adults who used AI for physical health advice in the past year say they later followed up with a doctor or health care provider” (KFF).
So clients now ask what ChatGPT says about them, and which competitor it names instead. A screenshot answers that once. An agency needs a repeatable answer for each client that ties back to visits and bookings, and a plan for what to publish next.
Two ways to work for every client
Curve already lets an agency manage every client account from one dashboard (Curve for marketing agencies).
With AI Visibility, an agency has two ways to work. Your own team can use AI Visibility for each client, or Curve's team can run it for you as a managed service, writing the pages on each client's roadmap while the client's clinicians approve anything medical. Either way, you walk into each client meeting with the same answer: what AI says about them, who it names instead, and what to publish next.
What to report to each client
Clients understand three figures quickly: mention rate (how often AI answers name you), citation rate (how often they cite your site) and share of voice (your share of the mentions among the brands you compete with). Next to them sit the numbers a practice runs on: the visits and bookings that AI answers bring. Here is what each one tells a client in a meeting.
| Figure | What it means | Why the client cares |
|---|---|---|
| Mention rate | How often AI answers name the client | Shows whether assistants recommend them at all |
| Citation rate | How often AI answers cite the client's site | Shows whether their pages are used as a source |
| Share of voice | The client's share of the mentions among the brands they compete with | Puts them next to the competitors they watch |
| Competitor gaps | Where competitors are named and the client isn't | Shows exactly where the next pages should go |
| Visits and bookings | The visits and bookings that AI answers bring the client | Ties AI answers to real patients |
| What AI gets wrong | Wrong statements AI makes about the client's practice | Protects the practice's reputation where patients now ask |
Every week you get a plain-language summary of what changed, and a one-page report to share. The summary tells your team what moved, and the report is ready to share with the client. For reporting that stays clear of patient data, see agency client reporting without PHI.
Roadmaps that respect each client's clinicians
In healthcare, a clinician often has to sign off on content, so a client can publish only so much each week. A plan that ignores that sits unread. AI Visibility is built around it: it turns what it finds into a weekly roadmap sized to what your clinicians can publish, with medical topics flagged for clinical review.
It measures what each published piece changes. That is the renewal conversation, in the client's own numbers: what you published, what AI says now, and the bookings it brought. See an AI visibility content roadmap clinicians can keep up with.
How to vet AI visibility tools for healthcare clients
Google's own guidance sets the bar: “Be wary of third-party tools that promise ranking success or claim to use "internal" Google metrics. No third-party tool has access to our internal ranking or AI systems” (Google). A sound tool asks the assistants the same questions patients ask and records what they answer. Ask every tool on your shortlist:
- Which assistants does it cover? Patients use more than one. ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini each answer differently.
- What does it send to the assistants? For a healthcare client, the answer should be marketing questions only, screened for patient data.
- Does it connect AI visits to bookings? Mentions matter to a client when they lead to booked appointments.
- Does it say what to publish next? A list of gaps is a start. A plan sized to what the client's clinicians can review is what gets published.
- Who does the work? Some agencies want software for their own team. Others want a team that runs the program for them.
For a side-by-side of the tools, see the best AI visibility tools for healthcare.
Patient data stays out of the questions
Agencies carry their clients' compliance risk into every new tool, so ask what each one sends where. With AI Visibility the answer is short. It's built for healthcare: only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient. Curve is SOC 2 Type II and signs a BAA on every plan.
What This Looks Like in Practice
In one AI Visibility program we've run, for a HIPAA-focused healthcare software brand, Curve's team tracked the questions buyers ask AI assistants, found where competitors were named and the brand wasn't, and published pages to close those gaps. About five weeks in:
- AI assistants named or cited the brand in 53% of their answers to its 40 core buyer questions (104 of 196), across ChatGPT, Google AI Overviews, Google AI Mode, Perplexity and Claude.
- Across 184 real buyer questions and 912 AI answers, its site was cited in 236 answers, more than any competitor's and more than 2.5 times as many as the nearest one (89).
- 47 of the new pages were already cited by AI assistants within six days of going live.
- One new page brought in more than half of the brand's unpaid ChatGPT visits in its first week.
How Curve Compliance helps
AI Visibility is a feature in Curve Compliance, and Curve also offers it as a managed service. AI Visibility shows how often AI assistants, including ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini, name and cite your practice for the questions your patients ask. It ties AI answers to the visits and bookings they bring you. It shows where competitors are named and you aren't, who leads each topic, and which sources AI cites. It catches what AI gets wrong about your practice, so you can correct it on the pages AI reads.
With the managed service, Curve's team sets up your questions, competitors and topics, writes the pages on your roadmap, and makes the technical fixes that help AI assistants read your site. Your clinicians review and approve anything medical before it goes live. Each month, Curve's team walks you through your results on a call and sends a one-page report. If your developer manages your site, Curve's team hands them the exact fixes. AI Visibility is available to practices and clinics, health systems and multi-location groups, and agencies. Agencies can use AI Visibility for their clients, or have Curve's team run it for them.
AI Visibility is available on request: book a call to get started.
Sources, checked November 2, 2026: OpenAI, AI as a Healthcare Ally (January 2026); KFF Tracking Poll on Health Information and Trust: Use of AI for Health Information and Advice; Google, Optimizing your website for generative AI features.
Frequently Asked Questions
Can a healthcare marketing agency track AI visibility for every client?
Yes. Curve Compliance's AI Visibility shows how often AI assistants name and cite each client for the questions its patients ask.
Can Curve's team run AI Visibility for our clients?
Yes. It's available to practices and clinics, health systems and multi-location groups, and agencies. Agencies can use AI Visibility for their clients, or have Curve's team run it for them. With the managed service, Curve's team sets up each client's questions, competitors and topics, writes the pages on the roadmap and makes the technical fixes, and the client's clinicians approve anything medical.
What goes in an AI visibility report for a client?
Mention rate, citation rate and share of voice for the client, where competitors are named and the client isn't, what AI gets wrong about the practice, and the visits and bookings AI answers bring.
How often do clients get an update?
Every week you get a plain-language summary of what changed, and a one-page report to share. With the managed service, Curve's team also walks you through the results on a call each month.
Which AI assistants does AI Visibility cover?
ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Claude and Gemini.
Does AI Visibility send patient data to AI assistants?
No patient data is sent. It's built for healthcare: only the marketing question you track is sent to AI assistants, screened for PHI first, and never anything about a patient. Curve is SOC 2 Type II and signs a BAA on every plan.
Is AI Visibility a feature or a managed service?
Both. Curve Compliance includes AI Visibility as a feature, and Curve's team can also run it for you as a managed service. AI Visibility is available on request: book a call to get started. See the managed service page.
Talk to Curve Compliance
Want an AI answer report for every healthcare client? Book a call to see AI Visibility on your own questions, or to talk about the managed service.