The 40 AI Search Plays for Functional Medicine Practices

How to make ChatGPT, Perplexity, Claude, and Google AI recommend your practice first.

Published on healthbiz.io — The Authority on Cash-Pay Practice Marketing By Mike Kohl, Editor-in-Chief

Introduction

Something shifted in how patients find functional medicine practices, and most doctors missed it.

Before a patient books a functional medicine appointment — or even asks a friend for a referral — a significant portion of them are now asking ChatGPT, Perplexity, or Google's AI overview a question like: "best functional medicine doctor for Lyme in Denver" or "does functional medicine actually work for Hashimoto's." The AI answers them. It names specific practices, cites specific sources, and points patients toward whoever it has the most extractable, credible information about.

If that's not your practice, you don't exist in that conversation.

This isn't a future problem. Patients in cash-pay functional medicine are exactly the type of informed, research-oriented people who use AI for health decisions. They're cross-referencing your website against what ChatGPT tells them before they ever call your front desk.

This playbook covers 40 specific plays organized into three categories — Content, Technical, and Earned — to make your practice the one AI cites. These plays work together as a system, but they're also modular. If you're a solo practitioner with two hours a week for marketing, pick the 10 most relevant to your current situation and start there. They're ordered within each category from highest leverage to longest runway.

Use this as a working checklist, not a reading assignment.

CONTENT PLAYS

Build the extractable record AI reaches for.

Play 01 — The Clinical Authority Play CONTENT Difficulty: Medium

Your practice contains years of real-world clinical observation that no academic journal has published and no health website has captured — because it's yours. When a patient asks ChatGPT "what does Lyme treatment actually look like at a functional medicine practice," AI has to pull from somewhere. Right now it's pulling from Healthline, WebMD, and generic integrative medicine sites. This play changes that by turning your clinical protocols, your observed outcome patterns, and your condition-specific expertise into the citation source AI reaches for. Functional medicine practices have a unique advantage here: the depth of your clinical approach — the testing stacks, the protocol logic, the "why we do this in this order" — is genuinely original content that doesn't exist elsewhere. HIPAA compliance is straightforward when you're documenting protocols and patterns rather than individual patients.

Tactical steps:

1. Write a "How We Treat [Condition]" page for each of your top 5 conditions, describing your protocol logic, the labs you run, the order of interventions, and what patterns you commonly observe — no patient identifiers, just clinical method.
2. Publish aggregate outcome observations in a clearly labeled "What We See Clinically" section, using language like "in patients presenting with X, we commonly observe Y" — accurate, HIPAA-compliant, and genuinely original.
3. Add your name and credentials as the author on every clinical page with a byline, credentials list, and a note on your years of clinical experience treating that condition specifically.

Play 02 — The Patient Question Map CONTENT Difficulty: Low

Before your patients ever found your practice, they typed questions into search boxes and AI chat interfaces. "Does functional medicine help with Hashimoto's?" "How long does functional medicine treatment take?" "Is functional medicine covered by insurance?" "What's the difference between functional medicine and integrative medicine?" These questions exist in a specific natural language that your patients actually use — not the clinical terminology you'd use with a colleague. AI answers these queries by pulling from whatever source has the clearest, most direct answer to the exact phrasing. Right now, most functional medicine practice websites don't contain direct answers to the questions patients actually ask. They contain practice descriptions, which is not the same thing.

Tactical steps:

1. Pull 20 real questions from your intake forms, new patient emails, and consultation notes — the questions patients ask before they feel comfortable asking you directly — and build each one into a dedicated Q&A section on your site.
2. Search Reddit's r/FunctionalMedicine, r/Hashimotos, r/Lyme, and condition-specific subreddits for the exact phrasing patients use when asking about practices like yours, then write content that matches those exact phrasings.
3. Structure every answer in two parts: a direct one-sentence answer first (the part AI extracts), followed by the expanded explanation — never bury the answer in paragraph three.

Play 03 — The Condition Expertise Stack CONTENT Difficulty: High

WebMD and Healthline win AI citations for general condition information because they have thousands of articles and massive domain authority. You can't beat them at breadth. You can beat them at depth — specifically, depth about how your practice treats those conditions in your market. A patient asking "best functional medicine for thyroid in Austin" is not getting answered by WebMD. They're getting answered by whoever AI has the most specific, locally-relevant, clinically-detailed content about thyroid care in Austin. The goal of the condition expertise stack is to build unmatched topical depth across the 5–8 conditions your practice specializes in, so AI treats your site as the definitive source for those conditions in your geography.

Tactical steps:

1. Choose your top 5 conditions and build a pillar page for each (2,000+ words covering: what it is, why conventional medicine often misses it, how functional medicine approaches it, what testing involves, what treatment looks like, and what realistic outcomes are).
2. Build 8–12 cluster articles per condition covering specific subtopics: "[Condition] and [co-morbidity]," "[Condition] in [demographic]," "labs for [condition]," "[Condition] triggers," "diet and [condition]" — each linking back to the pillar.
3. Use your actual clinical depth to differentiate these pages from generic content: where generic sites say "some practitioners recommend X," your pages say "here's specifically what we test for, why, and what we do with those results."

Play 04 — The Treatment Comparison Play CONTENT Difficulty: Medium

"What's the difference between functional medicine and conventional medicine for [condition]?" is one of the most-asked patient questions, and AI currently answers it using third-party sources — often sources that portray functional medicine skeptically or inaccurately. When your practice publishes a fair, factual comparison of approaches for your top conditions, you insert yourself into that citation graph. This play is the highest-stakes piece of content you'll write because it triggers YMYL (Your Money or Your Life) scrutiny from search algorithms and requires absolute accuracy and balanced framing. Done well, it becomes the most-cited content you have. Done poorly, it looks promotional and gets ignored.

Tactical steps:

1. Write a "Functional Medicine vs. Conventional Medicine for [Condition]" page for each top condition — present both approaches accurately, acknowledge what conventional medicine does well, and be specific about where functional medicine approaches differently without disparaging conventional care.
2. Ground every comparison claim in mechanism or evidence: "functional medicine testing for thyroid typically includes TSH, Free T3, Free T4, and reverse T3, whereas standard care typically tests TSH alone" is factual and specific — that's the level of precision that gets cited.
3. Add a clear "Is Functional Medicine Right for You?" decision section at the end that helps patients self-qualify without overpromising outcomes — this is the conversion piece, and it also demonstrates the clinical honesty AI systems reward.

Play 05 — The Patient Decision Guide CONTENT Difficulty: Low

Most functional medicine no-shows and ghost-bookings happen because a patient got enthusiastic, scheduled a consult, and then talked themselves out of it between booking and appointment day. They had unanswered questions about cost, time commitment, what testing involves, and whether it actually works for their specific situation. AI is where they go to answer those questions — and if your practice doesn't have structured answers to those questions on your site, AI pulls from somewhere else. This play builds structured decision-support content that walks patients from "I have this problem" to "here's whether this is right for me and exactly what to expect."

Tactical steps:

1. Publish a "Is Functional Medicine Right for Me?" decision guide that covers the four major patient decision points: cost range and what drives it up or down, time commitment over the first 6 months, what initial testing involves and why, and honest condition-specific expectations.
2. Structure it as an if-then decision tree: "If you have [condition] and have already tried [conventional treatment] without resolution, here's what functional medicine typically offers and what timeline to expect" — this if-then logic is exactly what AI extracts for patient decision queries.
3. Reference this page internally from every condition page and every service page so AI can traverse the logical pathway from condition interest to patient readiness.

Play 06 — The Functional Medicine Evidence Hub CONTENT Difficulty: High

Functional medicine practices face a credibility problem that conventional medicine doesn't: AI and search algorithms treat functional medicine content with YMYL (Your Money or Your Life) scrutiny, which means unsubstantiated claims get suppressed and well-evidenced claims get cited. The solution is an evidence hub — a dedicated section of your site that documents the scientific grounding for your clinical approach. This isn't about defending functional medicine to skeptics. It's about giving AI systems the E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) they look for before citing a medical source. Practices that do this move from "alternative" to "evidence-informed" in AI's understanding.

Tactical steps:

1. Build a "Research & Evidence" section on your site with one page per major condition you treat, citing the peer-reviewed mechanisms behind your approach — link to PubMed abstracts, not news articles, and note your doctor's credentials alongside each citation.
2. Add dateModified metadata and a "Last reviewed by [Doctor Name, Credentials] on [Date]" note to every evidence page — this freshness signal is a key E-E-A-T marker for medical content.
3. Write a clear "About Our Clinical Approach" page that describes your doctor's training, the evidence frameworks they use to evaluate new treatments, and how they stay current — this is the author credibility page AI systems use to evaluate source reliability.

Play 07 — The Service Page Architecture CONTENT Difficulty: Low

Most functional medicine practice service pages are marketing copy: "We offer comprehensive functional medicine care for the whole family." That tells AI nothing extractable. When a patient asks "what does a functional medicine initial consultation involve," AI needs a source that answers that question specifically — what happens, how long it takes, what it costs, what comes out of it. Functional medicine service pages consistently underperform because they describe services in positioning language rather than patient-relevant specifics. This play rebuilds every service page with a consistent, AI-extractable structure that answers the questions patients are actually asking.

Tactical steps:

1. Rebuild every service page with these six sections in order: What This Service Is (one clear sentence), Who It's For (specific patient profile), What's Involved (step-by-step description of what happens), Investment (actual price range, not "contact us for pricing"), What Results Look Like (realistic outcome framing), and How to Start (one clear next step).
2. Add Service schema markup to every service page so AI can read your service data in structured form — name, description, provider, area served, and how to book.
3. Remove all marketing language that doesn't answer a patient question ("comprehensive," "holistic," "transformative") and replace it with specific clinical descriptions — the specificity is what AI extracts.

Play 08 — The Condition-Patient Matrix CONTENT Difficulty: Medium

"Functional medicine for Hashimoto's in Denver" is a different query than "functional medicine near me" — and both deserve different content. Cash-pay functional medicine patients are highly specific in their search behavior because they're often deep into a health journey and know exactly what they need. They're searching condition-first, then geography. AI answers these queries by pulling from whatever source has the clearest condition-specific, location-specific content. This play builds structured landing pages for every high-value condition + location combination relevant to your practice.

Tactical steps:

1. Build a dedicated "Functional Medicine for [Condition] in [City/Region]" page for each of your top 5 conditions, with locally-specific content (referencing local health context where relevant) rather than just swapping city names into a template.
2. Include a "Patients We See from [Neighborhood/Area]" section that names the specific communities you serve — this geographic specificity helps AI match your content to local queries without triggering duplicate content issues across pages.
3. Interlink these condition+location pages to your pillar condition pages and your doctor authority page so AI can traverse from local query to full clinical depth.

Play 09 — The Protocol Glossary CONTENT Difficulty: Low

Your patients show up to consultations having already researched terms they half-understand: "leaky gut," "adrenal fatigue," "HPA axis dysfunction," "methylation," "the 5R protocol." They read about these terms on functional medicine forums and influencer posts that often have the definitions partially wrong. AI currently defines these terms by pulling from whatever sources rank for them — often consumer health blogs with no clinical author. When your practice publishes accurate, clinically-grounded definitions with your doctor's credentials attached, you insert your practice into the citation graph for every patient who researches these terms before booking.

Tactical steps:

1. Build a "Functional Medicine Glossary" page with 30–50 terms your patients commonly bring up — write each definition in plain language first, then add the clinical precision underneath, with your doctor's name on the glossary page as the clinical author.
2. Implement DefinedTerm schema markup for every glossary entry so AI can extract structured definitions directly from your page.
3. Link from every glossary term back to the relevant condition or treatment page on your site — the glossary should serve as a topical web, not a dead end.

Play 10 — The Doctor Authority Play CONTENT Difficulty: Medium

When a patient asks ChatGPT "who is the best functional medicine doctor for Lyme in Colorado," AI searches its training data and retrieval index for physician authority signals: credentials, publications, media appearances, speaking history, and patient outcomes. Functional medicine doctor authority matters more than in almost any other specialty because patients are often making a major financial and health commitment to an approach that's outside mainstream medicine — they want to know the doctor is exceptional, not just available. Most functional medicine physician profile pages are two paragraphs of bio. This play builds a structured authority profile that becomes the reference AI uses when patients ask about your doctor.

Tactical steps:

1. Build a standalone physician authority page with these elements in structured sections: full credential stack (medical degree, functional medicine certifications, IFM membership, specialty training), clinical focus with specific conditions listed, media appearances and speaking engagements linked directly, published writing or interviews linked, clinical philosophy in the doctor's own words, and Person schema markup throughout.
2. Add your doctor's photo with detailed alt text including name, credentials, and specialty — multimodal AI systems use image metadata as an authority signal.
3. Cross-link this page from every condition page, service page, and the homepage — it should be the hub the entire site radiates from, because physician authority is what makes functional medicine credible for cash-pay patients.

Play 11 — The Patient FAQ Engine CONTENT Difficulty: Low

FAQPage schema is one of the most reliable AI citation mechanisms available to practice websites. When you mark up Q&A content with FAQPage schema, you give AI a structured, machine-readable signal that says "here is a question and here is the direct answer." AI systems that use retrieval to ground their responses pull from structured data sources because they're more reliable than extracting meaning from flowing prose. The challenge is that most FAQ pages are built with the questions the practice wishes patients asked, not the ones they actually ask. This play builds a FAQ engine from real patient questions deployed across every page of your site.

Tactical steps:

1. Audit your intake forms, new patient emails, and post-consultation surveys for the 50 most common questions patients have asked — these are your FAQ source material, not questions you invent.
2. Add a 3–5 question FAQ block at the bottom of every condition page, service page, and doctor page with questions specific to that page's content — not a generic FAQ but page-specific Q&A relevant to what a patient reading that page would ask.
3. Implement FAQPage schema on every FAQ block — most WordPress SEO plugins (Rank Math, Yoast) do this with a toggle; if you're on another platform, add it in JSON-LD in the page's <head>.

Play 12 — The Clinical Outcomes Codex CONTENT Difficulty: High

When a patient asks "does functional medicine actually work for autoimmune conditions," AI needs something specific to cite. Generic "functional medicine is effective" claims don't get cited because they're not verifiable. What does get cited is specific: documented outcome patterns tied to specific conditions, specific protocols, and realistic timeframes. Functional medicine practices have real outcome data that they're not publishing — not because it doesn't exist, but because no one has built the system to document and publish it. This play builds that system. The distinction from patient testimonials is important: testimonials are individual stories; outcomes documentation describes patterns across your patient population.

Tactical steps:

1. Create a "Clinical Outcomes" section on your site with a page per major condition, documenting the typical patient journey in aggregate: what presenting symptoms look like, what lab markers shift and when, what patients report at 3, 6, and 12 months — all framed as "what we commonly observe" without specific patient identifiers.
2. Have your doctor review and sign off on every outcomes page before publishing — the physician attestation is what separates outcomes documentation from testimonial content legally and from an E-E-A-T standpoint.
3. Add dateModified timestamps and a "Last updated" note to outcomes pages so AI systems recognize this as current clinical data, not stale marketing copy.

Play 13 — The Condition Journey Codex CONTENT Difficulty: High

Your patients arrive at your practice after a journey: years of conventional care that didn't resolve their problem, their own research, and finally the decision to try functional medicine. AI-referred patients are at an earlier stage of that journey — they're asking AI to help them understand their condition and their options. The practice that owns the condition journey in AI's training data owns the patient before they've even decided to book. This play builds comprehensive pillar pages that document the full patient journey for each major condition you treat — not just your approach, but the entire arc from initial symptoms to functional medicine resolution.

Tactical steps:

1. Write a "Complete Guide to [Condition] and Functional Medicine" for each of your top conditions — structured with these sections: what the condition is and how it presents, why conventional approaches often fall short for this specific condition (factual, not polemical), how functional medicine's root-cause approach differs, what functional medicine testing involves for this condition, what treatment typically looks like and in what sequence, and what realistic outcomes are.
2. Make each guide genuinely comprehensive — 3,000–5,000 words — because AI citation research shows longer, more thorough content on medical topics gets cited more reliably than shorter content that covers the same ground superficially.
3. Link internally from the condition journey page to your specific service pages, lab testing pages, and patient FAQ sections — the pillar page should be the entry point that funnels a curious patient into your practice's ecosystem.

Play 14 — The Seasonal Health Calendar CONTENT Difficulty: Low

Functional medicine patient search behavior follows predictable seasonal patterns. January: detox, gut reset, thyroid and metabolic concerns tied to resolution energy. Spring: allergies, histamine, mold sensitivity. Summer: energy, thyroid, heat intolerance. Back-to-school: pediatric immune support, sleep, ADHD alternatives. Fall: adrenal fatigue, stress, cortisol, seasonal depression. Holiday season: gut health, inflammation, blood sugar. AI-referred patients search for seasonal health content in the weeks before the season peaks — which means the practice that publishes ahead of the surge (not during it) gets indexed and cited before the demand hits.

Tactical steps:

1. Map your patient intake patterns by month and identify the 4–6 seasonal health moments that reliably drive new inquiries at your practice — these are your content calendar anchors for the year.
2. Publish seasonal condition or protocol content 6–8 weeks before each seasonal peak: a January thyroid and metabolism piece should publish in late November; a spring allergy/histamine piece should publish in February — before the search surge, not during it.
3. Update seasonal content each year with a new dateModified timestamp and any updated clinical observations — this keeps the content fresh for AI crawlers without requiring a full rewrite.

TECHNICAL PLAYS

Build the infrastructure AI reads correctly.

Play 15 — The Medical Schema Foundation TECHNICAL Difficulty: Medium

This is the single highest-leverage technical play, and it should happen before anything else on this list. Schema markup is structured data that tells AI systems and search engines exactly what your practice is, who the doctor is, what conditions you treat, and what services you offer — in machine-readable format, not prose they have to interpret. Without schema, AI makes its best guess about your practice from your content. With schema, you tell it directly. Functional medicine practices specifically benefit from medical schema because AI conflates functional medicine with naturopathic medicine, integrative medicine, and holistic wellness — schema is how you clarify that distinction at the machine level.

Tactical steps:

1. Deploy MedicalBusiness and MedicalClinic schema on your homepage and contact page with complete fields: name, address, telephone, url, openingHours, medicalSpecialty (use "Functional Medicine"), and priceRange.
2. Deploy Person and Physician schema on your doctor's authority page with these fields at minimum: name, honorificPrefix, honorificSuffix, jobTitle, affiliation, medicalSpecialty, and url — and add knowsAbout fields listing the specific conditions your doctor treats.
3. Deploy MedicalCondition schema on every condition page and MedicalTherapy schema on every treatment/service page — these two schema types are the ones AI uses to build its understanding of what your practice knows and does.

Play 16 — The Content Freshness Protocol TECHNICAL Difficulty: Low

AI systems doing retrieval-based responses weight recent content more heavily than stale content, particularly for medical topics where information changes. A page about your functional medicine approach that was last modified in 2022 looks dated to an AI system checking dateModified markup — which means it gets deprioritized as a citation source even if the content itself is still accurate. Functional medicine practice websites are particularly prone to staleness because they're often built and then left untouched while the practice focuses on clinical work. This play builds freshness maintenance into your quarterly operations, not as a major project but as a 30-minute review cycle.

Tactical steps:

1. Implement dateModified schema on every page using your CMS's native functionality — most WordPress SEO plugins handle this automatically based on post edit dates; verify it's outputting correctly in your page source.
2. Create a quarterly content calendar with four pages to review per month (48 pages per year) — prioritize service pages, pricing language, team bios, and any pages that reference current availability or offerings.
3. When reviewing a page, make at least one substantive edit (a clinical observation added, a new FAQ, an updated outcome note) rather than just re-saving — this registers as a genuine content update rather than a metadata-only change.

Play 17 — The Specialty Disambiguation Play TECHNICAL Difficulty: Low

AI gets functional medicine wrong constantly. It conflates it with naturopathic medicine. It conflates it with general integrative medicine. It assumes functional medicine doctors are not MDs. It conflates "functional medicine" with "functional movement." When a patient asks AI "what is functional medicine," the answer they get may be partially accurate but almost certainly blurs the lines between your specialty and adjacent approaches. This costs functional medicine practices patients who self-screen out because they got inaccurate AI guidance. This play makes your website an explicit disambiguation source AI can cite when patients ask about specialty differences.

Tactical steps:

1. Write a "What Is Functional Medicine (And How It Differs from Other Approaches)" page that explicitly addresses the five most common confusions: functional medicine vs. conventional primary care, vs. naturopathic medicine, vs. integrative medicine, vs. holistic wellness, and vs. concierge medicine — one clear paragraph per comparison.
2. Add MedicalSpecialty schema referencing the specific specialty definitions from Schema.org and link to the IFM's definition of functional medicine as an authoritative external source.
3. Place a one-paragraph specialty definition with disambiguation language in the footer of your website so it appears on every page — AI crawlers index the full page including footer content.

Play 18 — The AI Crawler Welcome TECHNICAL Difficulty: Low

Several AI companies have deployed named crawlers that retrieve content for their systems: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, OAI-SearchBot, and Google-Extended (for AI Overviews). These crawlers check your robots.txt before accessing your content. Many functional medicine practice websites — particularly those running aggressive WordPress security plugins — are inadvertently blocking these crawlers with overly broad disallow rules. If you're blocking AI crawlers, you don't exist in those AI systems' retrieval corpus. An llms.txt file (similar to robots.txt, designed specifically for AI agents) lets you go further and point AI systems to your most important pages.

Tactical steps:

1. Review your robots.txt file (accessible at yourdomain.com/robots.txt) and ensure GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and Google-Extended are either explicitly allowed or not explicitly blocked — the default (no mention) typically allows access, but confirm this.
2. Create a basic llms.txt file at yourdomain.com/llms.txt that lists your most important pages with one-line descriptions: your homepage, your condition pages, your doctor authority page, your evidence hub, and your patient FAQ — this is a simple text file, not a complex technical implementation.
3. Audit your WordPress security plugin settings (if applicable) if you're running Wordfence, Sucuri, or similar — these sometimes block unfamiliar user agents aggressively; whitelist the specific AI crawler user agent strings rather than using blanket bot-blocking rules.

Play 19 — The WordPress Render Audit TECHNICAL Difficulty: Medium

Most functional medicine practice websites are built on WordPress, and many of them render their most important content via JavaScript — which means the HTML that an AI crawler downloads contains only a shell, not the actual content. Crawlers that don't execute JavaScript (which includes several AI retrieval systems) see an empty or near-empty page. This is a silent visibility killer: your pages look fine to you in a browser, look fine to Google's full crawler, but are invisible to AI retrieval systems that rely on the initial HTML response. The fix is usually straightforward, but you have to know to look for it first.

Tactical steps:

1. Run the "view source" test on your most important pages: right-click → View Page Source in your browser, then search for a phrase you know appears in your main content — if you can't find it in the source HTML, that content is being rendered by JavaScript and may be invisible to AI crawlers.
2. If JavaScript rendering is the problem, switch to a server-side-rendering WordPress theme or enable static HTML output through your caching plugin — most modern WordPress caching plugins (WP Rocket, W3 Total Cache) can serve pre-rendered HTML that any crawler can read.
3. Avoid page builders that rely heavily on client-side rendering for content blocks — Elementor and Divi in particular have configuration options that affect whether content appears in the initial HTML response; check your specific configuration.

Play 20 — The Practice Sitemap System TECHNICAL Difficulty: Low

Your XML sitemap is one of the first things AI crawlers and search engines check when they visit your site. A poorly structured sitemap — one that includes every WordPress archive, tag page, and date archive alongside your actual content — dilutes crawler attention across hundreds of low-value URLs. A well-structured sitemap system guides crawlers directly to your highest-value content and signals priority through accurate lastmod timestamps. For a functional medicine practice, your most important pages are your condition pages, service pages, doctor page, and location pages — these should be easy for any crawler to find.

Tactical steps:

1. Configure your SEO plugin to generate separate sitemaps by content type: one for core pages (services, conditions, doctor, location), one for blog/content, and one for any testimonial or case study content — most WordPress SEO plugins (Rank Math, Yoast) support sitemap indexing with separate sub-sitemaps.
2. Ensure lastmod timestamps in your sitemap reflect the actual last-modified date of each page's content — inaccurate timestamps (WordPress sometimes outputs the same date for all pages) train crawlers to ignore your freshness signals.
3. Submit your sitemap to both Google Search Console and Bing Webmaster Tools — Bing's index feeds several AI retrieval systems including parts of Perplexity's retrieval, so submitting there has direct AI visibility value.

Play 21 — The Site Speed Sprint TECHNICAL Difficulty: Medium

Site speed affects AI search visibility through two mechanisms. First, slow sites get crawled less frequently — crawl budget is real, and a practice website that takes 8 seconds to load gets visited by crawlers less often than one that loads in under 2 seconds, which means your content updates take longer to reach AI retrieval systems. Second, AI-referred patients are converting on your site after being sent there — and a slow site kills that conversion. Cash-pay functional medicine patients are evaluating your digital presence as a proxy for your clinical competence. A site that loads poorly signals operational carelessness.

Tactical steps:

1. Run your site through Google PageSpeed Insights (pagespeed.web.dev) and identify your Largest Contentful Paint (LCP) score — if it's above 2.5 seconds on mobile, start by converting all images to WebP format and enabling lazy loading, which typically delivers the biggest LCP improvement for WordPress sites.
2. Install a caching plugin if you don't have one (WP Rocket is the most reliable for WordPress practice sites) and enable page caching, browser caching, and GZIP compression — these three settings alone typically cut load time in half.
3. If you're on shared hosting and your server response time (Time to First Byte, or TTFB) is above 800ms, upgrade to managed WordPress hosting — SiteGround, Kinsta, or WP Engine are reliable options that dramatically reduce TTFB for practice-scale sites.

Play 22 — The Local Business Markup Play TECHNICAL Difficulty: Low

When a patient asks an AI assistant "find me a functional medicine doctor near me" or "best functional medicine practice in [city]," AI needs structured local business data to give a useful answer. Without LocalBusiness schema on your site, AI is guessing at your address, hours, service area, and contact information from unstructured text — which means it often gets them wrong or omits your practice entirely. This play deploys complete local business markup so AI-powered local recommendation systems have accurate, structured data about your practice to cite.

Tactical steps:

1. Deploy LocalBusiness schema on your homepage and contact page with these fields fully completed: name (exact legal practice name), address (streetAddress, addressLocality, addressRegion, postalCode), telephone (in +1 format), openingHoursSpecification for each day you're open, url, and geo coordinates (latitude/longitude).
2. Add areaServed fields listing the cities, counties, or regions your practice serves — especially important for practices that draw patients from a broad geographic area, which is common in functional medicine where patients travel for the right practitioner.
3. Ensure your NAP (Name, Address, Phone) on your website matches exactly — character by character — the NAP you use on Google Business Profile, Bing Places, and every directory listing: "Suite 200" vs. "Ste 200" creates NAP inconsistency that confuses AI aggregation systems.

Play 23 — The Practice Entity Foundation TECHNICAL Difficulty: Medium

In AI systems, your practice exists as an "entity" — a node in a knowledge graph connected to your doctor, your location, your specialty, and your services. AI systems reason about entities using data from verified, authoritative sources: Google's Knowledge Graph, Wikidata, Bing's entity index, and major health directories. A practice that doesn't have a claimed, completed entity in these systems is poorly defined in AI's understanding — which means AI fills the gaps with whatever it can find, often inaccurately. This play claims and curates your practice entity so AI is working from verified data, not inference.

Tactical steps:

1. Claim your Google Business Profile (if not already done), complete every field — especially Services, Attributes, Products, and your practice description which should include the phrase "functional medicine" in the first sentence — and post at least once per month to keep the listing active.
2. Claim or create your Bing Places listing (different from Google — a separate submission) and complete it fully, as Bing's entity data feeds multiple AI systems including parts of Perplexity.
3. Verify your practice is listed in the Institute for Functional Medicine's provider directory (ifm.org) and that your specialty listing matches your Google Business Profile description — sameAs schema on your website linking to your IFM profile connects these entities in the knowledge graph.

Play 24 — The Health Directory Pipeline TECHNICAL Difficulty: Medium

AI systems that make local health recommendations don't only pull from your website — they pull from the directories that AI training data weighted heavily when building their health knowledge. Healthgrades, Zocdoc, Vitals, WebMD Physician Finder, and the IFM provider directory are all sources AI systems were trained on and continue to retrieve from. A functional medicine practice that is absent from or poorly represented in these directories is invisible in a significant portion of AI health recommendations. This play pushes accurate, complete practice data across every AI-relevant health directory.

Tactical steps:

1. Audit your current directory presence by searching your doctor's full name on Healthgrades, Vitals, WebMD Physician Finder, Zocdoc, and Psychology Today — claim any unclaimed profiles and update any with incorrect or incomplete information.
2. For each directory you claim, complete 100% of available fields — specialty, conditions treated, languages, insurance (or clearly note cash-pay/self-pay), education, certifications, practice philosophy, and a professional photo — incomplete profiles signal neglect and get weighted lower.
3. Add sameAs schema to your website's homepage linking to each claimed directory profile — this wires your profiles together as a single entity in the knowledge graph rather than leaving them as unconnected data points.

Play 25 — The Patient Journey Link Architecture TECHNICAL Difficulty: Medium

AI crawlers understand your practice's expertise not just from individual pages but from how those pages connect to each other. A site where your thyroid condition page links to your lab testing service page, which links to your thyroid treatment approach page, which links to your doctor's authority page, which links to your patient FAQ — that site is telling AI a coherent story about how a thyroid patient moves through your practice. A site where these pages exist but don't connect reads as a collection of disconnected documents rather than an authoritative practice resource. This play rebuilds your internal linking to mirror the actual patient journey.

Tactical steps:

1. Map the five-step patient journey for your practice: Symptom Awareness → Condition Understanding → Treatment Research → Doctor Evaluation → Booking — and ensure you have content addressing each step, linked in sequence.
2. Audit every condition page and service page for orphaned status (no incoming links from other pages) — any page with zero internal links is invisible to AI crawlers traversing your site structure; add at least three contextual internal links to every orphaned page.
3. Use descriptive anchor text on every internal link that names the destination content accurately — "our thyroid testing approach" is better than "click here" or "learn more" because descriptive anchors tell AI what the linked page is about before it visits.

Play 26 — The Medical Media Schema TECHNICAL Difficulty: Low

AI systems are increasingly multimodal — they process images and video alongside text, and they use structured metadata to understand what visual content depicts. Your practice videos, doctor introduction footage, and educational graphics are invisible to AI without structured markup telling those systems what they show. For functional medicine practices that have invested in video content (doctor introductions, patient education videos, condition explainers), this play ensures that content enters the AI citation graph rather than sitting as unindexed media files.

Tactical steps:

1. Add VideoObject schema to every video on your website (embedded YouTube or Vimeo videos and self-hosted videos): include name, description, thumbnailUrl, uploadDate, duration, and embedUrl — YouTube videos can be wrapped in VideoObject on the page embedding them.
2. Add descriptive alt text to every practice photo and doctor image that includes the doctor's name, credentials, specialty, and what the image depicts — "Dr. [Name], MD, IFMCP, functional medicine physician, [City], reviewing patient labs" is the level of specificity that functions as an AI retrieval signal.
3. For patient education images (infographics, protocol diagrams), add alt text that describes the content of the visual — AI systems use this text to understand and potentially cite the information depicted.

Play 27 — The Patient Education Schema TECHNICAL Difficulty: Low

When a new patient asks "what should I expect at my first functional medicine appointment," they're asking a process question — and HowTo schema is the structured markup built specifically to answer process questions in an AI-extractable format. Functional medicine practices have process content that performs well with this schema: how to prepare for initial bloodwork, what to expect from a comprehensive intake form, how to interpret your functional medicine lab results, how to implement an elimination diet. These guides exist as blog posts on most practice websites — they just aren't marked up in a way that signals their processual nature to AI.

Tactical steps:

1. Identify your top five "how to" or "what to expect" guides — the ones that answer process questions patients have before and during their care — and implement HowTo schema on each one with each step as a separate HowToStep object.
2. Structure HowTo content so each step is a single, actionable instruction followed by a brief explanation — AI systems extract HowTo content most reliably when steps are discrete and clearly bounded.
3. Add these HowTo-marked pages to your sitemap with accurate lastmod dates so AI crawlers can find and retrieve them efficiently.

EARNED PLAYS

Build the citation network AI triangulates against.

Play 28 — The Multi-Surface Authority Blitz EARNED Difficulty: Medium

AI systems determine authority partly by triangulating across multiple independent sources. A functional medicine practice that exists only on its own website is a single data point. A practice with a complete website, an active Google Business Profile, a YouTube channel with patient education videos, two podcast appearances, and a Healthgrades profile with 40 detailed reviews is a network of corroborating data points — and AI weights networks much more heavily than single sources. This play coordinates your minimum viable authority footprint across the platforms AI actually checks.

Tactical steps:

1. Map your current surface footprint: where does your practice exist online with accurate, complete information? — your minimum target is website + Google Business Profile + Healthgrades/Vitals profile + one additional external source (YouTube, podcast, or press mention).
2. Post to your Google Business Profile at least once per week (a patient question answered, a seasonal health tip, a new service note) — GBP activity signals current operation and keeps your entity fresh in Google's knowledge graph.
3. Create a YouTube channel (even if you start with one video) and upload your doctor's introduction video with a full transcript in the description — YouTube is one of the platforms AI systems retrieve from when building health authority profiles, and a single well-described video is better than no presence.

Play 29 — The Medical Trust Network EARNED Difficulty: Low

AI systems that answer health questions weight information from medically-adjacent third-party sources — Healthgrades, the IFM directory, Vitals, WebMD Physician Finder — differently than they weight your own website. Third-party sources are independent validators: if Healthgrades says you treat Hashimoto's and your website says you treat Hashimoto's, AI's confidence in that claim increases. The challenge is that most functional medicine practices have either unclaimed profiles on these platforms or profiles that are technically claimed but incomplete. This play builds out a trust network of third-party validator sources AI uses when assessing medical authority.

Tactical steps:

1. Prioritize narrative review collection on Healthgrades and Google Business Profile over star rating accumulation — a 200-word review from a patient describing their Lyme recovery journey is infinitely more AI-extractable than ten 5-star ratings with no text.
2. Send a post-appointment email to patients who express satisfaction asking them to share their experience on Healthgrades specifically, with a direct link to your Healthgrades review page — Healthgrades is weighted more heavily for healthcare authority than general review platforms.
3. Add links from your website footer to your Healthgrades profile, IFM directory listing, and Google Business Profile using sameAs schema — these aren't just usability links, they're entity connection signals in the knowledge graph.

Play 30 — The Patient Community Play EARNED Difficulty: High

Reddit is one of the most heavily-weighted sources in AI training data and retrieval. When AI answers a patient question about functional medicine for Lyme, it often pulls from r/Lyme, r/Hashimotos, r/FunctionalMedicine, and condition-specific communities where real patients share real experiences. A functional medicine physician who has been genuinely helpful in these communities — with full professional disclosure — has their practice and clinical perspective embedded in threads that AI retrieves year after year. This play requires patience and genuine helpfulness; promotional behavior gets flagged by subreddit moderators and creates the opposite effect.

Tactical steps:

1. Identify the 3–5 subreddits where your ideal patients are active (r/Lyme, r/Hypothyroidism, r/Hashimotos, r/AutoimmuneProtocol, r/PCOS are common starting points) and spend two weeks reading threads before posting anything — understand the culture and what kinds of responses the community values before contributing.
2. When answering patient questions, disclose your professional identity in every response ("As a functional medicine physician specializing in [condition]...") and avoid promoting your practice directly — link to your website only when it directly answers the question being asked and is permitted by subreddit rules.
3. Target questions with high upvote counts and active engagement that your clinical expertise allows you to answer definitively — these high-engagement threads become durable AI citation sources because they remain indexed and retrieved long after the original conversation ends.

Play 31 — The Clinical Evidence Play EARNED Difficulty: High

Wikipedia is the single most-cited source in AI training data — and you cannot edit your own Wikipedia page or your practice's Wikipedia page without violating their conflict of interest policy. What you can do is publish the kind of independently verifiable, neutrally-framed clinical reference content that Wikipedia editors and AI systems ground against when evaluating medical claims. Functional medicine has a significant opportunity here: much of what practitioners know about mechanisms, protocols, and clinical patterns exists only in peer-reviewed journals that patients can't access and in practitioner experience that's never been published. Publishing well-structured clinical reference content creates the citation infrastructure that makes AI more likely to treat your practice as a serious clinical authority.

Tactical steps:

1. Publish one clinical reference article per month that follows Wikipedia's structure of neutrally-framed, verifiable claims with peer-reviewed citations — the goal is not to be promotional but to be the most accurate, well-sourced explainer of your specialty topic on the open web.
2. Avoid any language in these articles that reads as marketing ("our unique approach," "we believe") — these should read like clinical review articles: mechanisms explained, evidence cited, multiple perspectives acknowledged.
3. Build inbound links from your condition pages and service pages to these clinical reference articles so they're integrated into your site's topical authority rather than orphaned long-form pieces.

Play 32 — The Health Media Placement Play EARNED Difficulty: High

Publications like MindBodyGreen, Well+Good, Healthline (in their expert quotes sections), local news health sections, and functional medicine trade publications are woven into AI training data as credible health information sources. When your doctor is quoted in these publications as a functional medicine expert, two things happen: AI systems encounter your doctor's name associated with functional authority in their training corpus, and you earn a backlink from a high-authority domain that signals your practice's credibility to AI retrieval systems. Getting placed requires pitching as a clinical expert, not as a practice trying to get free press.

Tactical steps:

1. Create a one-page expert media profile for your doctor: specialty areas (specific conditions, not "functional medicine generally"), perspective angles that are timely and interesting to health journalists (e.g., "functional medicine approach to long-haul COVID symptoms," "why thyroid patients feel undertreated on standard care"), and contact information — use this as your pitching foundation.
2. Monitor HARO (Help a Reporter Out) / Connectively and Qwoted daily for health-related queries relevant to your conditions — respond to relevant queries within 90 minutes with a 150-word concise expert quote, your credentials, and your practice URL.
3. Pitch your local news health desk directly with a seasonal health story angle two months before it would be relevant — local health journalists want local expert sources and your functional medicine perspective is genuinely differentiated from the conventional medicine experts they typically call.

Play 33 — The Patient Success Story Play EARNED Difficulty: Medium

Testimonials tell AI "this patient had a good experience." Patient success stories — properly consented, specifically documented, outcome-focused case studies — tell AI "here is a specific patient profile, here is the clinical approach, here is the measured result." The difference in citation value is significant. AI systems evaluating whether functional medicine works for a specific condition want specific data, not generalized endorsements. Functional medicine practices have the outcome data — they just need a consent and documentation process to publish it ethically.

Tactical steps:

1. Create a patient outcome consent form that specifically authorizes sharing their case details in anonymized form for educational purposes — have your attorney review it, but the core elements are: description of condition, treatment approach, and measurable results, all without identifying information.
2. Publish consented patient success stories in a structured format: "Patient Profile" (age range, condition, how long they'd struggled before functional medicine), "Approach" (what you tested, what you found, what you addressed), "Outcomes" (specific measurable changes at 3, 6, 12 months) — no before/after photos, no claims of "cure," specific measurable results only.
3. Implement Review schema on success story pages with your doctor listed as the reviewer/author and include a disclaimer that individual results vary — this separates outcome documentation from testimonials legally and from an E-E-A-T standpoint.

Play 34 — The Clinical Forum Authority Play EARNED Difficulty: Medium

Quora, HealthUnlocked, and condition-specific patient forums are lighter-lift versions of the Reddit play — they often have less restrictive rules around professional participation and their content gets retrieved by AI systems regularly. A functional medicine physician who has answered 50 detailed clinical questions on Quora with full professional disclosure has built a durable citation corpus that AI can retrieve for years. The key is clinical substance over promotional mention — a 400-word explanation of why reverse T3 matters in thyroid evaluation is infinitely more valuable (and more AI-retrievable) than "visit our practice for comprehensive thyroid care."

Tactical steps:

1. Create a verified professional profile on Quora with your full credentials, specialty, and practice website — Quora allows professional credential verification which increases the authority weight of your answers.
2. Identify the 10 highest-traffic questions in your specialty areas on Quora using their search function — answer each one with a thorough clinical response (300–600 words), include your professional disclosure at the top, and link to a relevant page on your practice website only if it directly extends the answer.
3. When you publish a detailed Quora answer on a topic, write a corresponding deeper-dive article on your practice website and link to it from the Quora answer — this creates a citation path from the forum (which AI retrieves) to your practice website (which AI can then traverse).

Play 35 — The Referral Partner Content Play EARNED Difficulty: Medium

Your referral partners — the PCPs, OBGYNs, chiropractors, acupuncturists, and specialty labs that send you patients — have domains with their own authority. When a referring PCP's website mentions your practice by name and links to your condition pages, that creates an external citation from an independent domain that AI systems interpret as a trust signal. Most referral partnerships in functional medicine are oral — a conversation, a handshake, a reciprocal sending of patients. This play turns those relationships into documented, digital connections that AI can traverse.

Tactical steps:

1. Approach your top three referral partners with a co-content proposal: a shared patient education resource about when to refer to functional medicine vs. when to continue with standard care — publish it on both sites with mutual links.
2. Ask referral partners who have established practice websites to add a "We refer to" or "Specialist network" page that includes your practice name, specialty, and a link — explain that this helps mutual patients find the referral easily online.
3. Create a "For Referring Providers" page on your practice website with clear information about what you treat, what you don't, how to refer, and what the referral experience looks like for their patients — link to this from your referral partnership communications and ask partners to link to it from their sites.

Play 36 — The Health Creator Strategy EARNED Difficulty: High

Health YouTubers, podcasters, and Instagram educators with large audiences are AI-cited frequently because their content is voluminous, regularly updated, and reflects real patient-facing health conversations. When a functional medicine physician is featured on a health creator's channel — not as a sponsor but as a clinical authority — that content enters the AI citation graph in two ways: the video/podcast transcript becomes AI-retrievable content attributing clinical authority to your doctor, and you earn potential backlinks from the creator's website. The challenge is approaching creators in a way that's useful to them.

Tactical steps:

1. Identify 5 health creators whose audiences match your ideal patient profile — search YouTube for your top conditions ("Hashimoto's treatment," "functional medicine for Lyme") and identify who appears regularly in those search results; these are the creators whose audiences are your patients.
2. Pitch a specific, audience-relevant topic that gives their viewers actionable clinical insight — "Why Most Thyroid Patients Feel Undertreated and What the Labs Miss" is more compelling than "functional medicine overview" — and offer to include Q&A so viewers get something directly useful.
3. After any appearance, request that the creator post a transcript or show notes on their website with a link to your practice site — transcripts are what makes podcast and video content AI-retrievable as text, and the backlink from their site is the earned authority signal.

Play 37 — The Clinical Outcomes Publishing Play EARNED Difficulty: High

Play 12 (Clinical Outcomes Codex) covers publishing outcomes on your own site. This play extends that effort externally — getting your clinical outcomes documented in third-party contexts where AI retrieves them independently. Functional medicine practices have real-world outcome data that is genuinely interesting to health journalists, podcasters, and even academic observers. Practices that figure out how to get this data into external publications — case reports in integrative medicine journals, contributed pieces in functional medicine trade publications, presentations at IFM conferences — create external citation trails that dramatically increase AI's confidence in citing your practice as an authority.

Tactical steps:

1. Submit a patient case study (fully anonymized, consented, written in case report format) to a peer-reviewed integrative or functional medicine journal — the AIHM journal, Integrative Medicine: A Clinician's Journal, and Global Advances in Integrative Medicine and Health all publish practitioner case reports.
2. Write a contributed column for a functional medicine or integrative health trade publication documenting outcomes patterns you observe for a specific condition — pitch this as a "from the clinic" practitioner perspective, not a research paper.
3. Present outcomes data at an IFM conference or regional functional medicine symposium and ensure the presentation abstract is published online — conference abstracts are frequently indexed by AI systems and create durable citation sources.

Play 38 — The Medical Podcast Play EARNED Difficulty: Medium

Podcast appearances create AI-retrievable citation sources in two forms: the audio content itself (which AI can process when transcripts or show notes are available) and the web page hosting the episode (which AI crawlers index like any other web page). For functional medicine physician authority specifically, the podcast categories that matter most are condition-specific shows (Lyme disease podcasts, thyroid-focused shows, autoimmune content), health optimization shows with educated audiences, and local wellness podcasts that signal geographic authority. A single well-placed podcast appearance with a full transcript creates a citation source that persists and gets retrieved for years.

Tactical steps:

1. Search Spotify and Apple Podcasts for shows specifically about your top conditions — a Lyme disease podcast, a Hashimoto's podcast, a chronic illness podcast — and pitch to appear as the "functional medicine approach" expert, which is an underrepresented clinical voice in these communities.
2. After each appearance, ask the host to post a full written transcript or detailed show notes with your name, credentials, and practice website link on the episode page — without text content on the episode page, the audio provides no AI citation value.
3. Repurpose every podcast appearance into a written article for your practice website: "What I Discussed on [Show Name]: [Topic]" — this creates a second, practice-owned citation source from the same appearance and links the external appearance to your own domain.

Play 39 — The Patient Voice Activation EARNED Difficulty: Low

Patient reviews are not just a social proof mechanism — they're AI citation sources. When AI systems research a local healthcare provider, they retrieve and synthesize review content from Google Business Profile, Healthgrades, and Vitals. Star ratings with no text content are nearly useless to AI — they signal satisfaction level but provide nothing extractable about what the practice actually does, what conditions it treats well, or what the patient experience involves. Narrative reviews that mention specific conditions, protocols, or outcomes are exactly what AI extracts to characterize your practice. This play builds a review strategy that generates AI-useful content, not just star counts.

Tactical steps:

1. After each successful patient milestone (lab results showing improvement, symptom resolution, reaching a health goal), ask the patient verbally in the appointment if they'd be willing to share their experience online — provide a direct link via your follow-up email with a reminder of what the experience involved ("You might mention what brought you in, what we found, and what's changed for you").
2. Respond to every review you receive — responses appear in AI retrieval alongside the reviews themselves, and a physician's thoughtful response to a patient review signals clinical engagement and professionalism.
3. Implement AggregateRating schema on your homepage pulling from your Google and Healthgrades review totals — structured aggregate rating data gives AI a single, clean data point about your practice's reputation without requiring it to traverse multiple review platforms.

Play 40 — The Practice Newsroom EARNED Difficulty: Medium

Every significant development at your practice — a new doctor joining, a new service added, a press mention, a speaking appearance, a certification earned — is a potential AI citation source on the day it publishes. Practices without a structured, machine-readable way to publish announcements miss every one of these citation opportunities. When a patient asks AI "what's new at [practice name]" or "is [practice] still treating Lyme," AI pulls from whatever structured news or announcement content it can find. This play builds a lightweight practice newsroom that makes every announcement an immediate AI citation source.

Tactical steps:

1. Create a "News & Updates" or "Practice Updates" section on your website — simple blog post format is fine, but name it something clearly news-oriented so AI systems treat it as announcement content rather than general blog posts.
2. Implement NewsArticle schema on every announcement with these fields: headline, datePublished, author (your doctor's name), description, and publisher (your practice name and logo) — this is the schema type that tells AI systems "this is current information about this practice."
3. Publish at least one update per quarter — a new service description, a seasonal reminder, a certification achieved, a press mention received — and link from the announcement page to the relevant service or condition page it references; this keeps your newsroom from looking abandoned and keeps AI's understanding of your practice current.

How to Prioritize These 40 Plays

If you try to execute all 40 simultaneously, you'll execute none of them well. Here's how to sequence this as a working practitioner with limited marketing bandwidth.

Start with Technical (Plays 15–27). These are infrastructure plays — they determine whether your content and earned signals can even be read correctly by AI systems. Deploy medical schema (Play 15) and the AI crawler welcome (Play 18) in your first week. Add local business markup (Play 22) and submit your sitemaps (Play 20). Run the WordPress render audit (Play 19) to check for invisible content. These plays require time upfront but minimal ongoing maintenance. You cannot build a content or earned strategy on a technically broken foundation.

Then build Content (Plays 1–14). Once AI can read your site correctly, give it something worth reading. Start with your service page architecture (Play 07) and your doctor authority page (Play 10) — these two pages are the foundation your entire content strategy links to. Then build your condition expertise stacks (Play 03) and your patient FAQ engine (Play 11). Content takes time to accumulate authority, which is why you start here as soon as the technical foundation is solid.

Earned plays (Plays 28–40) compound over time. Start with what requires the least new effort: claiming and completing directory profiles (Play 24), building out your Google Business Profile (Play 22/28), and activating patient reviews (Play 39). The higher-effort earned plays — podcast appearances (Play 38), health media placements (Play 32), patient communities (Play 30) — belong in your 6–12 month horizon once your technical foundation and content core are in place.

If you want a personalized version of this playbook — showing which 10 plays will move the needle fastest for your specific practice and market — that's what we build at healthbizplaybook.com.

Health Biz Scale builds and executes these plays for functional medicine practices running cash-pay models. We handle the technical infrastructure, the content system, and the earned authority strategy so your doctor can stay focused on patients. If you'd like to see what this looks like for a practice at your stage, start at healthbizplaybook.com.

Mike Kohl is a software engineer and functional medicine patient who founded Health Biz Scale to help functional medicine practices build the digital authority their clinical work deserves. healthbizscale.com