OpenAI has entered the digital advertising market—and ChatGPT Ads could become an important new channel for healthcare organizations trying to reach patients, caregivers, clinicians and healthcare decision-makers.

The opportunity is fundamentally different from traditional search or social media advertising. A Google user may enter a brief query such as “private psychiatrist near me.” A ChatGPT user is more likely to explain what they need, what they have already tried, their location, preferences, concerns and the factors influencing their decision.

That richer context may eventually give advertisers a better opportunity to appear during complex healthcare research and decision-making journeys. However, healthcare is also one of the most carefully regulated categories on the platform. Not every healthcare business will be eligible, and ads are not permitted near sensitive personal-health conversations.

M.Ad was given early access to OpenAI Ads Manager and launched an initial campaign in August 2026. Here is what healthcare advertisers should know about the available formats, placements, costs and early performance—and our answer to the larger question: which healthcare businesses should use OpenAI Ads?

What Are ChatGPT Ads?

ChatGPT Ads are sponsored placements that can appear beneath a ChatGPT response. They are visually separated from the organic answer and clearly identified as advertising.

OpenAI states that advertisers cannot influence, rank or alter ChatGPT’s answers. An advertisement appearing below a response should not be interpreted as an endorsement or recommendation from ChatGPT.

The standard ad format currently includes:

  • The advertiser’s name
  • A favicon or company logo
  • A headline
  • Descriptive copy
  • A landing-page URL
  • An image or creative asset

The result is a relatively compact, image-based sponsored card designed to complement the conversation without becoming part of the generated answer. OpenAI Help Center: Ads in ChatGPT—The Basics

How Does OpenAI Decide Which Ads Appear?

ChatGPT advertising is not based exclusively on conventional keyword targeting.

OpenAI’s ad-delivery system considers signals that may include:

  • The context and apparent intent of the current conversation
  • The advertiser’s landing page
  • The ad headline and description
  • Context hints supplied by the advertiser
  • Geographic targeting
  • The advertiser’s bid
  • Selected personalization signals, where enabled by the user

Advertisers can provide context hints describing the conversations, topics or keywords in which their product or service may be relevant. These hints help OpenAI understand the desired audience, but they do not function like exact-match Google Ads keywords and do not guarantee placement in a particular type of conversation.

This makes ChatGPT Ads a hybrid of paid search and contextual advertising. The advertiser communicates where the service may be relevant, while OpenAI determines whether the advertisement is appropriate for the conversation and likely to produce a useful outcome. OpenAI Help Center: Ads in ChatGPT—The Basics

Where Do ChatGPT Ads Appear?

The principal placement is a sponsored card shown below the end of a ChatGPT response.

For example, OpenAI has demonstrated how a conversation about building a backyard fence could be followed by an advertisement for cedar privacy panels. Someone discussing recipes may see an advertisement for a meal-kit company or grocery-delivery service. OpenAI Ads, OpenAI: Testing Ads in ChatGPT

A healthcare-related application could theoretically involve a sponsored card appearing beneath an eligible, non-sensitive conversation about:

  • Comparing employee wellness platforms
  • Finding professional education for clinicians
  • Evaluating healthcare software
  • Choosing ergonomic or accessibility products
  • Planning general fitness or healthy-lifestyle activities
  • Researching non-clinical services for older adults
  • Comparing elective services where the advertiser and context are approved

However, healthcare advertisers should not assume their ads will appear next to discussions of medical symptoms, diagnoses or mental-health concerns. OpenAI specifically states that ads are not eligible to appear near sensitive or regulated topics, including personal health and mental health conversations. OpenAI Help Center: Ads in ChatGPT

This is one of the most important limitations for healthcare marketers. ChatGPT may contain enormous volumes of health-related research, but many of those conversations will not represent available advertising inventory.

Who Can See ChatGPT Ads?

OpenAI says ads are not shown to users on Plus, Pro or Business plans or to accounts identified as belonging to users under 18. Advertising availability also varies by country and is still evolving. OpenAI Help Center: Ads in ChatGPT—The Basics

For healthcare advertisers, this means the potential audience is narrower than ChatGPT’s total user base. A substantial portion of business and professional users may be on ad-free subscriptions.

Advertisers should evaluate the channel based on its addressable advertising audience—not ChatGPT’s overall number of users.

What Ad Formats Are Available?

OpenAI currently supports two practical creative categories.

Chat cards

Chat cards are individually created advertisements containing an image, advertiser name, headline, description and destination URL.

This is the most relevant format for healthcare service providers, medical-software companies, healthcare recruitment firms, professional training organizations and other advertisers promoting a specific service or landing page.

A healthcare chat card might promote:

  • A physician continuing-education program
  • Practice-management software
  • Healthcare recruitment services
  • A general wellness program
  • An elective healthcare consultation
  • A non-clinical caregiver resource

Healthcare ad copy must remain factual and carefully qualified. Strong clinical claims, guaranteed outcomes, fear-based messaging and copy implying knowledge of a user’s health condition are unlikely to be appropriate.

Product-feed ads

OpenAI also supports campaigns connected to product catalogues. Product feeds can contain titles, descriptions, prices, availability, images and landing-page URLs. OpenAI then selects an eligible product when the advertisement is served. OpenAI Developers: Product Feeds

This format may be useful for eligible health-adjacent ecommerce businesses offering products such as:

  • General wellness products
  • Mobility or accessibility equipment
  • Medical-office supplies
  • Approved consumer health devices
  • Books and educational materials
  • Fitness and recovery equipment

Eligibility should always be confirmed before campaign development, particularly when a product makes health claims or falls into a regulated category.

What Does It Cost to Advertise on ChatGPT?

OpenAI Ads supports two main buying options:

  • CPM bidding: The advertiser selects a Reach objective and pays for every 1,000 impressions.
  • CPC bidding: The advertiser selects a Clicks objective and pays for each valid click.

Advertisers establish a maximum bid at the ad-group level. OpenAI currently recommends beginning CPC campaigns with a maximum bid of approximately US$3–$5 per click. Ads are selected through a relevance-weighted, second-price auction. OpenAI Help Center: Ads in ChatGPT—The Basics

OpenAI began with CPM buying and subsequently introduced CPC bidding. CPC buying is generally the more practical starting point for healthcare performance campaigns because it connects spending to an identifiable action rather than exposure alone. OpenAI: New Ways to Buy ChatGPT Ads

M.Ad’s Early OpenAI Ads Performance

M.Ad ran an early campaign in OpenAI Ads Manager between August 25 and September 7, 2026.

The campaign promoted M.Ad’s own healthcare advertising services rather than a patient-treatment program. The results should therefore be understood as an early B2B healthcare marketing case study—not as a benchmark for patient acquisition.

Across three advertisements, the campaign generated:

Metric Early result
Impressions 2,100
Clicks 17
Spend CA$66.75
Overall CTR 0.81%
Average CPC CA$3.93
Effective overall CPM CA$31.79
Recorded conversions 5

Source: M.Ad OpenAI Ads Manager account, August 25–September 7, 2026. Figures calculated from the supplied ad-level campaign data.

The two advertisements that incurred spend performed quite differently:

Ad Impressions Clicks CTR Spend Avg. CPC Avg. CPM
ROI 538 4 0.74% CA$27.78 CA$6.94 CA$51.63
Lead Generation 1,533 13 0.85% CA$38.97 CA$3.00 CA$25.42

What Do These Early Results Tell Us?

The most notable metric is the CPM.

The overall effective CPM was approximately CA$31.79. At that rate, a CA$1,000 budget would generate approximately 31,500 impressions if performance remained consistent.

Individual creative performance varied substantially:

  • At a CA$51.63 CPM, CA$1,000 would purchase approximately 19,400 impressions.
  • At a CA$25.42 CPM, CA$1,000 would purchase approximately 39,300 impressions.

The Lead Generation advertisement therefore delivered more than twice as many impressions per dollar as the ROI advertisement. It also produced the stronger CTR and a much lower CPC.

This is an important early lesson for healthcare advertisers. OpenAI Ads should not be approached as a single-ad experiment. Creative positioning can materially affect both cost and delivery.

A message about generating more leads performed better than a message about return on investment. That may indicate that direct, immediately recognizable benefits are easier for OpenAI’s system to match with relevant conversations. More data would be required to determine whether that pattern persists.

Is the CPM Too Expensive?

A CA$31.79 average CPM is expensive enough to require scrutiny.

That does not automatically make the channel unprofitable. CPM measures the cost of an impression but says nothing about the commercial value or intent behind that impression.

A healthcare executive comparing practice-growth options may be more valuable than a passive social-media user. Similarly, someone actively researching an elective service could be more likely to convert than a person exposed to a generic display advertisement.

The question is whether the contextual quality of ChatGPT traffic compensates for the higher cost of reaching it.

Our early test did not record any conversions, but only 17 clicks were generated. That is not enough traffic to draw a meaningful conclusion about lead-generation potential.

At the campaign’s CA$3.93 average CPC:

  • A 5% landing-page conversion rate would produce a theoretical CA$78.60 cost per lead.
  • A 3% conversion rate would produce a theoretical CA$131 cost per lead.
  • A 2% conversion rate would produce a theoretical CA$196.50 cost per lead.

Those figures are scenarios, not forecasts. They demonstrate why OpenAI Ads may make more sense for high-value healthcare services and B2B healthcare companies than for low-margin services with modest customer values.

What Kinds of Healthcare Businesses Should Use OpenAI Ads?

Our answer is: OpenAI Ads is most appropriate for healthcare businesses with high customer values, education-heavy buying journeys and offers that can be promoted without relying on sensitive personal-health targeting.

The strongest initial candidates fall into several categories.

1. B2B healthcare companies

B2B healthcare may be the clearest opportunity because the advertising message can focus on an organization’s operational or commercial needs rather than an individual’s medical condition.

Potential candidates include:

  • Electronic health record and practice-management platforms
  • Healthcare analytics companies
  • Medical billing and revenue-cycle services
  • Healthcare recruitment agencies
  • Medical advertising and patient-acquisition firms
  • Call tracking and CRM platforms for healthcare
  • Telehealth infrastructure providers
  • Clinical-trial recruitment technology
  • Medical equipment suppliers
  • Compliance and professional-services firms

These companies often have high contract values and longer research cycles. Prospective customers may use ChatGPT to compare platforms, prepare vendor shortlists, understand implementation requirements or research strategies for improving their organizations.

2. Medical education and professional training providers

ChatGPT is frequently used for research and professional development, making it a potentially natural environment for:

  • Continuing medical education
  • Certification and recertification programs
  • Healthcare leadership training
  • Nursing education
  • Medical conference promotion
  • Clinician career-development programs
  • Healthcare administration courses

These advertisers can often promote their programs without targeting a personal medical condition, reducing some of the sensitivity associated with patient-acquisition advertising.

3. High-value elective healthcare services

Some approved elective providers may be worth testing where the decision-making process is lengthy and the value of a new patient is substantial.

Possible examples include:

  • Cosmetic dentistry
  • Dental implants
  • Orthodontics
  • LASIK and elective vision correction
  • Plastic surgery
  • Fertility-related services, subject to eligibility and placement restrictions
  • Private-pay medical assessments
  • Executive health programs
  • Certain wellness or longevity services with compliant claims

These services tend to involve research, comparison and consideration before a consultation is booked. That behaviour aligns with ChatGPT’s conversational format.

However, advertisers must first confirm eligibility. They must also avoid misleading claims, guaranteed outcomes, before-and-after implications that violate policy, or messaging that suggests ChatGPT has identified a health condition.

4. General wellness and health-adjacent brands

Businesses positioned around non-sensitive lifestyle improvement may have broader opportunities than providers advertising the treatment of a condition.

Examples may include:

  • Fitness and movement programs
  • General nutrition education
  • Sleep-environment products
  • Ergonomic products
  • Healthy-aging resources
  • Mobility products
  • Caregiver-support services
  • General wellness memberships
  • Health-focused books and educational products

The distinction between general wellness and medical claims matters. A product marketed as supporting everyday wellbeing may be treated differently from one claiming to diagnose, prevent, cure or treat a disease.

5. Senior living and non-clinical care services

Certain senior-focused businesses may be appropriate when their advertising can be placed around planning, housing or caregiver-resource conversations rather than a person’s sensitive medical history.

Potential candidates include:

  • Independent living communities
  • Retirement residences
  • Non-medical home care
  • Caregiver-support platforms
  • Accessibility and mobility services
  • Aging-in-place renovation companies

These decisions often involve extensive family research and a relatively high lifetime customer value. Nevertheless, placement and copy require careful review because discussions involving illness, vulnerability or personal health may not be eligible for advertising.

Which Healthcare Businesses Should Be Cautious?

Some healthcare businesses may technically qualify but face substantial restrictions or limited available inventory.

These include:

  • Psychiatry and mental-health practices
  • TMS and ketamine clinics
  • Addiction-treatment centres
  • Eating-disorder programs
  • Trauma-treatment providers
  • Chronic-pain clinics
  • Pharmaceutical advertisers
  • Businesses making disease-treatment claims
  • Services aimed at people in crisis or otherwise vulnerable situations

OpenAI does not place ads near personal-health or mental-health conversations. Consequently, a mental-health advertiser should not expect to reach someone while that person is discussing depression, suicidal thoughts, trauma or another sensitive concern with ChatGPT.

An eligible mental-health organization might still find safe, approved opportunities in broader educational or professional contexts, but that is very different from conventional high-intent patient search advertising.

For these businesses, Google Ads may remain the more direct patient-acquisition channel because it permits carefully controlled bidding on eligible treatment-related searches. OpenAI Ads should be considered an experimental supplemental channel, not a replacement.

Which Healthcare Businesses Should Avoid OpenAI Ads for Now?

We would not currently recommend OpenAI Ads as a primary acquisition channel for:

  • Emergency or crisis services
  • Businesses requiring highly precise symptom-based targeting
  • Low-value services that cannot support a potentially high CPL
  • Providers without compliant healthcare landing pages
  • Organizations without end-to-end conversion tracking
  • Advertisers relying on aggressive clinical claims
  • Small practices that cannot afford a structured testing period
  • Any advertiser that has not confirmed its eligibility with OpenAI

If a campaign must reach people specifically while they are discussing a diagnosis, symptom, mental-health concern or personal medical situation, ChatGPT Ads is unlikely to provide the necessary placement.

How Should a Healthcare Business Test OpenAI Ads?

Healthcare advertisers should approach the platform as a controlled pilot.

M.Ad recommends:

  1. Confirm eligibility before developing the campaign. Healthcare and medicine are regulated categories and may require case-by-case approval.
  2. Begin with CPC bidding. Paying for valid clicks generally provides a clearer initial performance signal than buying reach.
  3. Create at least three distinct messages. Test different benefits rather than minor headline variations.
  4. Use educational, non-alarmist creative. Explain the service without implying knowledge of the user’s health.
  5. Send traffic to a dedicated landing page. The page should clearly explain the service, qualifications, location, process and next step.
  6. Install complete conversion tracking. Do not launch with click reporting alone.
  7. Evaluate lead quality in the CRM. A form submission is not necessarily a qualified patient or viable sales opportunity.
  8. Set a predetermined testing budget. Avoid making decisions after a handful of clicks.
  9. Keep Google Ads and other proven channels active. OpenAI Ads should initially add to the media mix rather than replace established acquisition sources.
  10. Review policy compliance continuously. Healthcare eligibility, available markets and supported categories may change as the platform develops.

Measurement Is Essential

OpenAI Ads Manager reports impressions, clicks, spend, CTR, average CPC, average CPM and conversions. Advertisers can also add UTM parameters to destination URLs so ChatGPT traffic can be identified in GA4, a CRM or another analytics platform. OpenAI Help Center: Ads in ChatGPT—The Basics

OpenAI provides a browser-based Measurement Pixel and a server-side Conversions API. OpenAI recommends the Conversions API where possible because server-side tracking can provide more reliable conversion reporting than relying on a browser pixel alone. OpenAI Developers: Conversions API

A healthcare campaign should ideally include:

  • OpenAI Measurement Pixel tracking
  • Server-side conversion reporting
  • Consistent UTM parameters
  • GA4 measurement
  • Call tracking where phone leads are important
  • CRM source attribution
  • Lead-quality reporting
  • Revenue or patient-value reporting where permitted
  • Deduplication between browser and server events

Healthcare advertisers should never send protected health information, diagnoses, treatment details or other unnecessary patient information through advertising pixels or conversion parameters.

The meaningful question is not simply how many people clicked. It is how many qualified inquiries, booked consultations, admitted patients or closed contracts the campaign produced—and at what cost.

OpenAI Ads and GEO: Healthcare Brands Need Both

Paid advertising is only one way for a healthcare organization to become visible in ChatGPT.

Generative Engine Optimization, or GEO, is the process of making a healthcare organization’s content, expertise and supporting evidence easier for AI systems to find, understand and potentially cite.

OpenAI states that websites must allow OAI-Searchbot to crawl their content to be eligible for inclusion in ChatGPT search results, although inclusion and placement are not guaranteed. OpenAI Help Center: ChatGPT Search

For healthcare organizations, the distinction is important:

  • OpenAI Ads provides paid, clearly labelled visibility beneath eligible conversations.
  • GEO improves the organization’s ability to appear organically when an AI system researches and summarizes a relevant subject.
  • SEO continues to support search visibility, crawlability, authority and the source material used throughout the online information ecosystem.

A strong healthcare strategy should include all three.

Ads can provide immediate access to available commercial inventory. GEO can help establish the organization as a useful and trustworthy source. SEO continues to capture direct search demand and strengthens the content foundation on which generative visibility depends.

This is particularly important in healthcare because paid placements will remain restricted around sensitive conversations. A provider may not be able to advertise beside a personal-health discussion, but its accurate, authoritative and well-structured educational content may still contribute to the broader information environment in which patients conduct research.

The M.Ad Recommendation

OpenAI Ads is worth testing for selected healthcare advertisers—but it is not yet a universal healthcare acquisition channel.

The strongest candidates are B2B healthcare companies, professional education providers, approved elective healthcare services, general wellness brands and high-value health-adjacent businesses. These organizations can benefit from research-driven conversations without depending entirely on sensitive health targeting.

Mental-health, addiction-treatment and other highly sensitive providers should proceed much more cautiously. Even when the advertiser is approved, the conversations most closely associated with their services may not be eligible to carry ads.

Early M.Ad performance also indicates that OpenAI impressions can be expensive. A high CPM may be justified if conversational context produces better prospects, but that value must be demonstrated through qualified leads, booked appointments and revenue.

For now, we recommend treating OpenAI Ads as a measured test alongside Google Ads, SEO and GEO—not as a replacement for them.

The future of healthcare discovery will likely include both paid and organic AI visibility. Healthcare organizations should prepare to earn their place in generated answers while selectively purchasing visibility in the eligible conversations surrounding them.

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