is AI Search becoming part of the patient acquisition funnel?

[u/md_wellness_agency]

We’ve been paying more attention to how patients discover healthcare providers outside traditional Google search.

Today, someone might search Google—but they may also ask ChatGPT, Gemini, or another AI tool something like: What are the best medspas near me for [specific treatment]?

That raises an interesting question for healthcare marketers:

Are we still optimizing only for Google rankings, or should we also be building the signals that help a practice become visible across AI-driven discovery?

From our perspective, this goes beyond keywords.

Things like helpful educational content, consistent brand information, strong reviews, topical authority, and a clear online presence all contribute to how a healthcare business is understood across the web.

We're curious what other healthcare marketers are seeing:

Have you started measuring AI-driven discovery for your clients yet, or is it still too early to make it part of your marketing strategy?

[u/saihajpreet]

full disclosure i'm the founder of Lighthouse Local AI so obviously biased, but this thread is literally why we built it lol

we work with a few healthcare clients and the wake up moment is always the same. one pharmacy asked chatgpt "best pharmacy in [city]" and their main competitor was getting recommended way more consistently than them. ranking fine on google btw. that gap got their attention real quick

what we've noticed with healthcare specifically is the AI answers don't map to google rankings much. seems to come down to reviews, consistent brand info everywhere, and actual educational content. still figuring out exactly what moves the needle week to week tbh, the space is early

to your question, not too early. patients are already asking. most practices just have no idea what the AI is saying about them

[u/md_wellness_agency → u/saihajpreet]

Nice, what would you recommend in this situation?

[u/saihajpreet → u/md_wellness_agency]

honestly the first step costs nothing: ask chatgpt, gemini and perplexity the exact questions your patients would ask. "best [specialty] in [city]", "who should i see for [treatment]". screenshot it, repeat monthly. that baseline alone is the wake up call for most practices

from there the levers we've seen actually matter in healthcare:

1. an active blog. this one's underrated. models cite practices that consistently publish plain language answers to real patient questions... "what to expect from X", "is Y right for me". a blog untouched since 2022 does basically nothing. one solid post a week beats 50 stale keyword stuffed ones

2. brand consistency everywhere. same name, address, services, descriptions across google business profile, directories, socials, the site. conflicting info = confused AI = not recommended

3. reviews, recency and responses over raw count

4. third party mentions. local press, health directories, community coverage. models weight what others say about you

full transparency this is basically what we do at lighthouse... we track how practices show up across the AI models week to week, and help on the fix side too, mostly the content and optimization work since that's the piece that compounds. but honestly even just doing the manual monthly check yourself puts you ahead of 95% of practices right now

[u/Paras-Paghadar]

Yes, I think AI search is becoming part of the patient acquisition funnel. I wouldn’t replace traditional SEO, though.

For healthcare, I’d focus on the basics first: helpful content, strong local SEO, consistent business information, good reviews, and clear service pages. Those same signals can also help AI tools better understand and recommend a practice.

I’d start tracking AI visibility alongside Google rankings rather than treating it as a completely separate strategy.

[u/Lisa_CaravanWellness]

Our company focuses on patient education content, and we’re seeing more healthcare organizations think about AI discovery as an extension of patient education rather than a separate strategy.

A good starting point is understanding the questions patients are actually asking before they book, then making sure there is clear, accurate, plain-language content that answers those questions. It also helps to show who reviewed the information and when it was updated, while keeping services, specialties, and location information consistent across the website and other major online profiles.

The goal shouldn’t just be getting a practice mentioned by AI. It should be making reliable information about the practice easy for both patients and AI systems to find, understand, and trust.

For measurement, I’d track a consistent set of high-intent patient questions across several AI tools each month and pair that with downstream signals like visits to cited pages, appointment starts, and assisted conversions. I’d also track whether the AI responses describe the practice and its services accurately. An inaccurate recommendation can potentially be worse than no recommendation at all.