$53,088 a post: FTC's rule, not AOTA's

Marketing is the use case a solo OT or SLT clinician avoids longest, and for a defensible reason: it sits furthest from clinical training and closest to the parts of the profession's ethics codes that actually threaten a license. That caution is correctly placed on the wrong rule. AOTA's Code of Ethics and ASHA's Code of Ethics both require marketing to be truthful, and both bodies can discipline a member who breaches that. But the rule that actually carries a dollar figure attached to AI marketing specifically comes from neither association. It comes from the Federal Trade Commission, and it applies whether or not you have ever paid AOTA or ASHA a membership fee.

1. Can occupational therapists use ChatGPT to write marketing content?

Yes. AOTA's 2025 Code of Ethics grounds its Principle of Veracity in "the virtues of truthfulness, candor, honesty, and respect owed to others," and states plainly that anyone entering a therapeutic relationship has a right to accurate information. ASHA's parallel rule, Principle III Rule F, requires that "individuals' statements to the public... shall not contain misrepresentations when advertising, announcing, and promoting their professional services." Neither document mentions AI, and neither needs to: both are written around the content of a claim, not the tool used to produce the sentence. A drafting tool that helps you write a social post about wrist splinting or articulation therapy is not the problem. A drafted sentence that overstates what therapy can deliver is the problem, and that was already true before AI existed.

So what for you: use AI to draft, but read every sentence against the same test your ethics code already applies to a human-written flyer, accurate, non-comparative, and free of outcome guarantees, before it goes out under your name.

2. Is AI-generated marketing content HIPAA compliant?

This is usually the wrong question, because HIPAA governs protected health information, not who or what wrote a sentence. A blog post, social caption, or ad an AI tool drafts about general OT or SLT topics, home exercises, insurance basics, what a first evaluation involves, contains no PHI, so HIPAA has nothing to say about it either way. The question that does matter is whether the content is patient-specific. A testimonial, a case story, a before-and-after description all require the patient's own explicit written authorization before publication, a rule that predates AI entirely and does not weaken because AI helped phrase the surrounding copy.

So what for you: stop asking whether an AI marketing tool is "HIPAA compliant" in the abstract. Ask instead whether any specific piece of content names or describes an identifiable patient, and if it does, get their signed authorization first, the same as you would for a handwritten testimonial.

3. Do I have to disclose that my ad was written by AI?

Yes, and this is the question with an actual penalty attached to it. The FTC's Endorsement Guides already require a clear and conspicuous disclosure whenever a connection between an endorser and a business could affect how the audience weighs the endorsement, and the FTC's 2024 update to those guides confirmed this covers computer-generated content, not only human endorsers. Where a fine can actually apply is the FTC's Trade Regulation Rule on Consumer Reviews and Testimonials (16 CFR Part 465, effective October 2024), which prohibits AI-generated fake or deceptive reviews and testimonials outright. Knowing violations of that rule, or of a prior FTC order, are subject to a civil penalty set at up to $53,088 per violation (the FTC's January 2025 inflation adjustment, confirmed unchanged for 2026 per the Federal Register), assessed per violation rather than per campaign. Neither AOTA's nor ASHA's code carries a comparable civil penalty; association ethics violations are addressed through membership discipline, not a federal fine.

So what for you: build a one-line AI disclosure into your content template now, before you scale up posting volume. It costs nothing to add, and it keeps you clear of a rule that, unlike your association's code, is enforced with a dollar figure attached.

4. Can I post a patient testimonial that AI wrote?

Not as written by AI on the patient's behalf without their review. The FTC's Consumer Reviews and Testimonials Rule specifically prohibits AI-generated endorsements that misrepresent a reviewer's identity or actual experience, so an AI tool polishing or inventing language attributed to a real patient, even where the underlying sentiment is genuine, risks exactly the misrepresentation the rule targets unless the patient reviews and approves the exact final wording. Layer HIPAA's separate authorization requirement on top of that, and the safest workflow is: collect the patient's own words first, use AI only to help you ask better questions or format the result, and get sign-off on the final text before anything is published.

So what for you: never let an AI tool generate testimonial language from scratch and attribute it to a named patient. Collect real words, get written authorization, and use AI for formatting rather than authorship on anything carrying a patient's name.

5. How much does AI marketing cost for a solo therapy practice?

Far less than the tools built for a group practice or DSO. Sprout Social, a common enterprise social-media platform, runs $199 to $399 per user per month, and a marketing agency retainer typically runs $18,000 to $96,000 a year (both figures confirmed via vendor pricing pages and industry retainer surveys, 2026), pricing built for a multi-location marketing team, not a solo caseload. A realistic solo-practice AI marketing stack, based on current published pricing as of September 2026, looks closer to Canva Pro at $15 a month for design, Buffer at $5 per connected channel a month for scheduling (its AI assistant is included free on every plan, including the free tier), and ChatGPT Plus at $20 a month for drafting, roughly $30 to $50 a month total. Treat all of these as current snapshots rather than fixed prices; vendor tiers change often.

So what for you: if a marketing vendor's first pitch is a platform priced per seat in the hundreds of dollars a month, you are being shown a tool built for a group practice's marketing department, not what a solo OT or SLT practice actually needs to get started.

6. How do I get my practice to show up when someone asks ChatGPT for a therapist?

This is a genuinely different skill from traditional search engine optimization, now commonly called answer engine optimization, and it rewards structure over volume. Traditional SEO competes for a clicked position on a results page; answer engine optimization competes to be the source an AI model actually cites inside the answer it writes before the user sees any links at all. The practical levers that consistently predict whether a page gets cited: a short, direct answer near the top of each key page (40 to 60 words), FAQ content marked up so a model can parse question and answer pairs directly, and specific, named details, your credentials, your services, your location, rather than generic marketing language. None of this requires an enterprise tool. It requires structuring the website you already have.

So what for you: before buying any AI marketing tool, check whether your own site's service pages actually answer a direct question in the first few sentences. That structural fix is free and it is the one AI search platforms are already rewarding.

The bottom line

The compliance risk most solo OT and SLT clinicians worry about, an association ethics complaint, is real but manageable: keep marketing content accurate, keep testimonials authorized, and AOTA's and ASHA's codes are satisfied whether AI drafted the sentence or you did. The compliance risk most clinicians have not priced in, a federal disclosure requirement with a per-post penalty, is the one that actually has a dollar figure attached in 2026. Add a one-line AI disclosure to anything an AI tool substantially wrote, get real patient sign-off before any testimonial goes out, and spend the $30 to $50 a month a solo stack actually costs rather than the hundreds a vendor demo built for a group practice will quote you. For how this same enterprise-versus-affordable pricing gap plays out in dentistry, see $39, not $249: the dental AI marketing myth. For the other administrative AI question OT and SLT clinicians are asking this quarter, see EEOC pulled its AI hiring guidance. The law didn't move.

Related: $39, not $249: the dental AI marketing myth  ·  EEOC pulled its AI hiring guidance. The law didn't move.  ·  HIPAA's 6 years isn't your state's clock.

This article is for informational purposes only and does not constitute legal advice. Federal, state, and association rules change frequently; confirm current requirements with legal counsel and your professional association before relying on anything above.