The way patients find holistic and integrative practitioners has changed more in the past two years than in the previous twenty. What used to be a relatively predictable process — rank well in Google, appear in local search, get found — has become a multi-layered landscape where AI systems are increasingly deciding which practitioners patients even consider.

Google AI Overviews now appear at the top of search results for the majority of health-related queries, synthesizing information and recommending sources before patients ever scroll to traditional results. ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot are answering patient questions about which type of practitioner to see, what conditions can be treated, and sometimes which specific practices are worth contacting. And the local search layer — Google Maps and the local pack — remains the primary way patients find practitioners in their area, with Google deliberately keeping AI out of these local acquisition searches for now.

Understanding how each of these systems actually works — what they evaluate, what they reward, and what disqualifies practices from appearing — is now a fundamental part of building a practice that grows consistently. This article breaks down the mechanics of each layer and what holistic and integrative practitioners need to build to be found reliably across all of them.

The Landscape Has Changed — Here’s What’s Actually Happening

A few data points help frame the scale of the shift:

Google AI Overviews grew by 115% between March 2025 and late 2025, meaning they now appear for the vast majority of health-related informational searches. When a patient types “what can help with chronic fatigue” or “is acupuncture effective for anxiety,” they’re increasingly getting an AI-synthesized answer at the top of the page — before they see any traditional search results.

Approximately 65-70% of Google searches now end without a click — the patient gets their answer from the AI Overview and never visits a website. For practices whose online presence consists mainly of a homepage and a services page, this means they’re becoming invisible to a growing portion of their potential patients.

Perhaps most significantly for practitioners thinking about how to compete: approximately 62% of AI Overview citations go to sources that are not ranking on page one of traditional search results. AI systems evaluate content authority, specificity, and structure independently of traditional ranking signals. A well-structured, authoritative page on a specific condition can appear in AI recommendations without ever reaching the top of traditional search — which means the opportunity to be visible is broader than most practitioners realize, and the path there is different from what worked five years ago.

At the same time, local search for patient acquisition remains a traditional SEO environment. Research from BrightEdge shows that Google has deliberately kept AI out of local healthcare provider searches — queries like “chiropractor near me” or “acupuncturist for hormone issues Portland” still return traditional Maps and local pack results. This is good news for practitioners who optimize their local presence correctly, because it means local patient acquisition remains achievable without competing against AI-generated summaries.

Layer One — Local Search: Where Patient Acquisition Actually Happens

For most holistic and integrative practices, the majority of new patient inquiries come from local search — patients in your area looking for a specific type of practitioner or a specific type of help. This layer is governed by traditional local SEO signals, and Google has kept it deliberately separate from AI Overviews.

The primary signals that determine your local visibility are:

Google Business Profile

Your Google Business Profile is the single most impactful asset for local patient acquisition and one of the most underoptimized elements in most holistic practices. A complete, accurate, regularly updated profile signals to Google that your practice is active and relevant. The specific elements that matter most are your practice category (be as specific as possible — “Acupuncturist” rather than just “Health and Wellness”), your services list (name the specific conditions and approaches you address), your description (written with the specific language your patients search for, not generic wellness language), and your reviews (both volume and recency matter, and your responses to reviews are also read by AI systems).

AI systems have been observed reading the texture of review responses — not just the star rating — when assessing whether a practice is trustworthy and patient-focused. A practice that responds thoughtfully and professionally to every review sends a different signal than one that ignores them.

NAP consistency

Your practice Name, Address, and Phone number need to be identical across every directory, profile, and website where your practice appears — Google Business Profile, Healthgrades, Yelp, Zocdoc, your own website, and any other listings. Inconsistency across these sources confuses both Google and AI systems about which information is accurate, which reduces your local authority and can actively harm your visibility.

Local keyword specificity

Local searches that drive patient acquisition combine your modality or service with location — “naturopath for thyroid issues Seattle” or “chiropractor for disc problems near me.” Your website needs to include this type of specific, location-aware language naturally throughout your content, particularly on your homepage, about page, and condition-specific pages. Generic wellness language that could apply to any practice anywhere performs poorly for local search.

Layer Two — Google AI Overviews: The New Top of Search

Google AI Overviews appear above traditional search results for the majority of informational health queries — the kind of questions patients ask when they’re trying to understand a condition, evaluate treatment options, or figure out what kind of practitioner they need. Being included in these summaries is increasingly important because patients often form their initial impressions and decision frameworks from the AI Overview before they ever visit a specific website.

Google’s AI systems don’t randomly select content for Overviews. They evaluate websites based on a specific framework called E-E-A-T.

Understanding E-E-A-T for holistic practitioners

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness. Google applies this framework to all content, but holds health-related content to a particularly high standard because it falls under what Google calls “Your Money or Your Life” — categories where inaccurate or low-quality information could cause real harm.

Experience means demonstrated, first-hand knowledge of what you’re writing about. For holistic practitioners, this means content that reflects genuine clinical experience — not generic explanations that could have been written by anyone, but content that reflects how conditions actually present, how treatment unfolds over time, and what patients typically experience. This is where practitioners have a genuine advantage over generic health websites: you have real clinical experience that most content creators don’t.

Expertise means specialized knowledge in your specific area. Content that goes deep on specific conditions, treatment approaches, and clinical considerations signals expertise to Google’s systems. A comprehensive page on how acupuncture addresses a specific hormonal condition — written with real clinical depth — signals expertise in a way that a general “benefits of acupuncture” page never can.

Authoritativeness means being recognized as a credible source — by other websites linking to yours, by directories listing your credentials, by your Google Business Profile showing a consistent and complete picture of your practice, and by your website itself presenting your qualifications, training, and clinical background clearly.

Trustworthiness means the signals that tell Google your content is accurate, your practice is legitimate, and your website is secure. This includes HTTPS security, consistent and accurate information across all online touchpoints, credentials displayed clearly, and review signals that suggest patients have had positive experiences with your care.

What makes content eligible for AI Overview inclusion

Beyond E-E-A-T, several specific content characteristics make pages more likely to be cited in AI Overviews:

Content that directly answers specific patient questions. AI systems are built to answer questions, and they prefer to cite content that does the same. Writing that anticipates the questions patients are asking — “what does acupuncture actually do for anxiety?” “how long does it take to see results from chiropractic care for disc problems?” — and answers them clearly and specifically is more likely to be included in AI summaries than content that describes your services in general terms.

Structured, well-organized content with clear headings. AI systems parse content by its structure — headings, subheadings, and logical organization tell the system what each section is about and how it relates to the overall topic. The hub-and-spoke content architecture that underpins effective holistic practice SEO is also the architecture that makes content most readable by AI systems.

Schema markup. Adding schema markup to your pages — particularly FAQPage schema for FAQ sections and Article schema for blog posts and educational content — significantly improves AI systems’ ability to accurately interpret and cite your content. Without schema, AI systems have to infer the structure of your content, which reduces the accuracy and reliability of any citations.

Content depth and specificity. Thin content — short pages with generic information — is rarely cited in AI Overviews. Comprehensive, specific content that demonstrates genuine expertise consistently outperforms generic content, regardless of traditional ranking position. This is why the article length and depth approach used throughout this content architecture is specifically designed for AI visibility, not just human readability.

Layer Three — Conversational AI: ChatGPT, Perplexity, and the Recommendation Layer

Separate from Google’s search ecosystem, a growing number of patients are using large language model tools — ChatGPT, Perplexity, Google Gemini, Microsoft Copilot — to get recommendations about their health. They’re asking questions like “what kind of practitioner should I see for perimenopause symptoms that aren’t responding to HRT” or “what’s the difference between a naturopath and a functional medicine doctor for gut issues.”

These systems don’t return a list of ten results. They synthesize available information and provide a direct answer — often naming two or three types of practitioners, approaches, or in some cases specific practices. Being included in those recommendations requires the same foundational elements as Google AI Overviews — clear positioning, structured content, demonstrated expertise, consistent signals — but with some additional considerations.

How LLMs decide what to recommend

Large language models are trained on publicly available content and updated through ongoing indexing. They prioritize content that is clear, specific, well-structured, ungated (freely accessible without a login), and consistent with other available information on the same topic. Practices with sparse, generic websites are rarely recommended because the AI can’t confidently match them to a specific patient need. Practices with structured, authoritative content in a specific area get recommended because the AI can confidently say “this type of practitioner specializes in exactly what you’re describing.”

This is where precise positioning becomes directly connected to AI visibility. A vaguely positioned practice — “I help people achieve optimal health naturally” — gives AI systems nothing to work with when a patient asks a specific question. A precisely positioned practice — one whose content clearly demonstrates expertise in a specific condition or patient population — gives AI systems a clear, confident match to make.

The entity-building approach

A concept gaining traction in healthcare SEO circles is “entity building” — the deliberate process of making your practice a clearly defined, consistent entity that AI systems can identify, understand, and recommend with confidence. This involves consistent information across all online touchpoints (website, directories, social profiles, reviews), clear authorship signals (your name, credentials, and areas of expertise consistently stated), and structured content that makes your expertise in a specific area unambiguous.

Practices that have built themselves as clear entities in a specific space — the acupuncturist for women’s hormonal health, the chiropractor for athletes recovering from injury, the naturopath for autoimmune conditions — are increasingly showing up in conversational AI recommendations. Practices that present themselves as generalists rarely do.

What This Means Practically — The Building Blocks

Understanding the three layers of AI and search visibility is useful. Knowing what to actually build in response to them is what matters. Here’s the specific work that creates visibility across all three layers.

Build a Google Business Profile that works

This is the highest-impact, lowest-cost action most holistic practitioners can take right now. A complete, accurate, specifically described Google Business Profile directly drives local patient acquisition searches — the queries most likely to result in a new patient calling your practice. Fill in every field. Use your actual primary category. Write a description that includes the specific conditions you treat and the specific type of patient you work best with. Upload photos regularly. Respond to every review. Answer the Q&A section with real information about your practice.

Build condition-specific content with real depth

Generic content about your modality — “the benefits of acupuncture” or “what chiropractic care treats” — competes against thousands of other websites and rarely appears in AI Overviews. Condition-specific content that goes deep on a particular problem — how your approach addresses it, what patients typically experience, what to expect over the course of treatment, how it differs from conventional approaches — is what gets cited. This is the core of the hub-and-spoke content architecture that drives both traditional and AI search visibility.

Add schema markup to every page

FAQPage schema on pages with FAQ sections, Article schema on educational content, and LocalBusiness or MedicalBusiness schema on your homepage and contact page. These are the technical signals that tell AI systems how to accurately interpret and cite your content. The articles in this content architecture all include FAQPage and Article schema — this is a deliberate choice, not decoration.

Make your credentials and experience visible

E-E-A-T requires that your expertise is visible, not just assumed. Your about page, your author bio on articles, your Google Business Profile, and your directory listings should all clearly state your credentials, your years of experience, your specific training relevant to the conditions you treat, and the specific patient populations you’ve worked with. This isn’t about boasting — it’s about giving AI systems the signals they need to confidently recommend you as a legitimate, credible source.

Build NAP consistency across all directories

Check every directory where your practice appears — Healthgrades, Yelp, Zocdoc, Psychology Today if applicable, any local business directories — and make sure your name, address, and phone number are identical everywhere. Inconsistencies are a small but persistent drag on both local SEO and AI entity recognition. Fix them once and they stay fixed.

Write in the language patients use

AI systems are trained on natural language and respond to natural language queries. Content written in clinical terminology — “dysautonomia,” “neuromusculoskeletal dysfunction,” “somato-visceral interactions” — is less likely to be matched to the natural language questions patients ask than content written in the language patients actually use to describe their problems. Both languages have a place, but patient-facing content should lead with patient language and introduce clinical terminology with context.

The Opportunity for Holistic and Integrative Practitioners Specifically

There’s a specific opportunity in this landscape for holistic and integrative practitioners that’s worth naming directly.

The large healthcare systems, hospital networks, and insurance-based practices that dominate traditional search rankings for broad healthcare terms have spent years optimizing for those rankings. They have teams of SEO specialists, large content budgets, and domain authority built over decades. Competing with them for broad, high-volume search terms is genuinely difficult for an independent holistic practice.

But the AI recommendation layer doesn’t work the same way. It rewards specificity, depth, and genuine expertise in a defined area — not scale and budget. A solo acupuncturist who has built genuinely authoritative content around a specific hormonal condition, with clear positioning and well-structured pages, can appear in AI recommendations for relevant patient queries even without the domain authority of a large health system. The 62% of AI citations going to non-page-one sources confirms this empirically — the playing field is more level in the AI recommendation layer than in traditional search.

The practitioners who recognize this opportunity early and build the right foundation now — clear positioning, condition-specific content, technical structure, entity consistency — will have a compounding advantage as AI search continues to expand. The practitioners who wait until their competitors have already established AI visibility will face a much harder path.

Putting It Together — The Full Visibility Stack

Visibility across all three layers — local search, Google AI Overviews, and conversational AI recommendations — doesn’t require three separate strategies. It requires one foundational approach executed consistently:

Start with precise positioning that defines who you help and what you’re specifically expert in. Build condition-specific content organized in a hub-and-spoke structure that demonstrates genuine depth in your area of focus. Add technical signals — schema markup, credentials, NAP consistency — that help machines accurately interpret your expertise. Maintain a complete and active Google Business Profile that drives local acquisition. Let the whole system compound over time as content deepens, authority builds, and AI systems develop a clear, consistent picture of who you are and what you do best.

This is how consistent patient flow gets built in the current search environment — not by chasing algorithm changes or gaming ranking factors, but by building a presence that genuinely communicates your expertise clearly enough that both people and machines can confidently recommend you.

The AI Discovery Framework gives you a concrete picture of how your practice is currently showing up across these layers — and where the gaps are that most limit your visibility right now.

→ Access the AI Discovery Framework here

Common Questions

How do AI systems like ChatGPT decide which practitioners to recommend?

AI systems recommend practitioners based on the clarity, depth, and structure of their online presence — not just their search ranking. They look for practices with specific, well-organized content that clearly demonstrates expertise in particular conditions or patient populations, consistent signals of credibility across multiple sources, and schema markup that helps machines parse the content accurately. Practices with vague, generic websites are rarely recommended regardless of how skilled the practitioner is clinically.

What is Google E-E-A-T and why does it matter for holistic practitioners?

E-E-A-T stands for Experience, Expertise, Authoritativeness, and Trustworthiness — the framework Google uses to evaluate whether a website deserves to rank highly for health-related searches. For holistic practitioners, E-E-A-T means demonstrating real clinical experience through detailed content, establishing expertise in specific conditions, building authority through structured content and external signals, and establishing trust through consistent information, credentials, and reviews. Healthcare content is held to a higher standard because it falls under Google’s “Your Money or Your Life” category.

Do I need to rank on page one of Google to appear in AI recommendations?

No — and this is one of the most important things to understand about AI search. Research shows that approximately 62% of AI Overview citations go to sources that are not ranking on page one of traditional search results. AI systems evaluate content authority, specificity, and structure independently of traditional ranking signals. A well-structured, authoritative page on a specific condition can appear in AI recommendations without ever reaching the top of traditional search results.

How important is Google Business Profile for holistic practitioners?

Extremely important — and one of the highest-impact things you can optimize. Google has deliberately maintained traditional local search results for patient acquisition searches, meaning your Google Business Profile directly influences whether you appear when patients in your area search for a practitioner. A complete, accurate, specifically described profile with regular updates and consistent review responses is the foundation of local patient acquisition in the current search environment.

What is schema markup and do I need it as a holistic practitioner?

Schema markup is invisible code added to your website that helps search engines and AI systems accurately interpret your content. For holistic practitioners, the most important schema types are Article schema, FAQPage schema, and LocalBusiness or MedicalBusiness schema. Without schema, AI systems have to guess at the structure of your content — and often get it wrong, reducing the accuracy and frequency of citations. All articles in this content architecture include schema as a standard element.

How is AI search different from traditional SEO for holistic practices?

Traditional SEO optimized for ranking in a list of ten results. AI search optimizes for inclusion in a synthesized answer — being one of two or three sources cited when a patient asks a specific question. The strategies overlap significantly but AI search places more emphasis on specificity, conversational content, clear authorship, and the ability of machines to accurately parse your expertise. See our full guide to content architecture for holistic practices for how to build the structure that supports both.

About Kevin Doherty

Kevin Doherty is a practice growth strategist with more than 20 years in the health and wellness space. He has worked with practitioners across chiropractic, acupuncture, naturopathic medicine, functional medicine, and integrative therapy — and built his own cash-based practice from the ground up before turning his focus entirely to helping others do the same.

His work through Modern Practice Method focuses on building the full structural foundation — positioning, authority-based visibility, messaging, retention, and referral systems — as a connected system rather than isolated tactics. He works with independent holistic and integrative practitioners who are doing strong clinical work and want a practice that finally reflects it.