SEO + GEO for HealthTech SaaS

Hospital CIOs ask ChatGPT before they ask your AE.

The SEO and GEO agency for HealthTech SaaS between $5M and $50M ARR. We make ChatGPT, Perplexity, Claude, and Gemini name your HIPAA posture, FDA classification, and EHR integrations correctly.

See How AI Represents You Book a Healthcare Category Teardown
9 to 18 mo
hospital and health system sales cycle, AI-influenced throughout
~50%
of AI answers misstate HIPAA or FDA classification for mid-market HealthTech
10x
AI citation weight of KLAS, peer-reviewed journals, and HIMSS
The Category Reality

Epic and Cerner own Google. They do not own the specialty AI shortlist.

The category head terms are locked. The AI shortlist still moves when buyers add specialty, size, and integration constraints. That is where mid-market HealthTech wins.

Google · "best EHR software"

The locked SERP

  • 1 Epic
  • 2 Oracle Health (Cerner)
  • 3 athenahealth
  • 4 eClinicalWorks
  • 5 Allscripts (Veradigm)
The Shift
ChatGPT · "5-location specialty, Epic-integrated"

The AI shortlist breathes

  • 1 Tebra
  • 2 NextGen
  • 3 DrChrono
  • 4 Greenway Health
  • 5 Practice Fusion
The HealthTech-Specific Problem

AI confuses HIPAA, FDA, and integration claims in the same answer.

One misstatement on a sales call is enough to trigger compliance review. By the time the buyer asks you to correct it, the next vendor is already in the room.

Before · ChatGPT today 3 claims flagged
Hospital CIO
Is [Your Platform] HIPAA compliant? Is it FDA cleared as a medical device? Does it integrate with Epic via FHIR?
HIPAA: "Their site mentions HIPAA but no BAA or HITRUST detail is published."
Partial
FDA: "Appears to be FDA approved as a Class II medical device."
Wrong
EHR: "Epic integration is unclear. Possibly via HL7v2 only."
Wrong
Sources: outdated homepage copy, 2023 press release
After · Post-engagement 3 claims verified
Hospital CIO
Is [Your Platform] HIPAA compliant? Is it FDA cleared as a medical device? Does it integrate with Epic via FHIR?
HIPAA: "Yes, BAA-ready, HITRUST CSF r2 v11.2 certified Q3 2025."
Verified
FDA: "Classified as clinical decision support, not SaMD. Exempt under 21st Century Cures."
Verified
EHR: "Epic FHIR R4 + SMART on FHIR. Cerner, Athena, MEDITECH live."
Verified
Sources: /llm-info/, HIMSS profile, JAMA Network Open
How Healthcare Buyers Actually Search

Specialty, size, and integration constraints come in one breath.

Google gets the head terms. AI gets the practice size, the EHR they run, the specialty, and the population they serve.

Google
~4 words avg
  • Epic vs Cerner
  • athenahealth alternatives
  • best EHR for small practice
  • best telehealth platforms
  • best RCM software
ChatGPT & Perplexity
~24 words avg
  • "Best EHR for a 5-location specialty clinic that needs Epic FHIR integration."
  • "Recommend a patient engagement platform that reaches Medicaid populations."
  • "Best AI clinical decision support tool for radiology, FDA cleared."
  • "Is [vendor] HITRUST certified? Any 2024-2026 audit issues?"
  • "Top 3 RCM platforms for a mid-size hospital that surfaces denial reasons clearly."
The Citation Stack That Moves the Shortlist

These five source types make or break your HealthTech AI representation.

In HealthTech, LLMs lean heavily on analyst firms, peer-reviewed journals, and clinical trade press. The hierarchy is unforgiving.

Tier 1 · 10x
KLAS & Black Book
Category analyst reports
Tier 1 · 9x
JAMA, NEJM, peer journals
Peer-reviewed clinical research
Tier 2 · 6x
HIMSS & Healthcare IT News
Industry trade press
Tier 2 · 5x
Becker's & Modern Healthcare
Hospital-leadership trade
Tier 3 · 4x
G2 & KLAS Peer Reviews
Verified buyer reviews
The HealthTech Playbook

What we publish, and why each one wins.

Pages cited by AI in HealthTech are clinically-reviewed, integration-anchored, and explicit about HIPAA, FDA, and HITRUST posture.

Clinically-reviewed content

Every clinical claim cleared by an MD or RN before publication. The credibility floor in HealthTech, and the citation accuracy ceiling.

/llm-info/ + Compliance posture page

One canonical page LLMs sample for HIPAA, BAA, HITRUST, FDA classification, and security questionnaire downloads.

EHR integration content

Epic, Cerner, athenahealth, MEDITECH, FHIR R4, SMART on FHIR. Highest-converting BOFU traffic in HealthTech.

Outcomes-based case studies

Real n=, p-values, and peer-reviewed citations where possible. Clinical buyers expect statistical rigor, not testimonials.

Specialty-specific clusters

Cardiology, behavioral health, radiology, primary care, ambulatory specialty. Each specialty has its own AI vocabulary and citations.

KLAS, HIMSS, Black Book amplification

Structured outreach to analyst firms and industry press. These citations carry 10x the AI weight of any owned channel.

First 90 Days

From misstated to clinically cited in one quarter.

Three phases. Clinical reviewer onboarded in week 1. AI citation accuracy live in week 8.

01
Weeks 1 to 4

Audit & clear compliance

AI claim audit across 4 LLMs. Clinical reviewer onboard. Pre-approved compliance framework signed.

AVS baseline Claim audit MD/RN onboard Compliance framework
02
Weeks 5 to 8

Ship the citation core

/llm-info/ live. EHR integration cluster ships. Compliance posture page indexed.

/llm-info/ page 3 EHR pages 2 specialty pages 1 outcomes case
03
Weeks 9 to 12

Amplify analyst-tier citations

Structured outreach to the sources HealthTech LLMs actually sample from.

KLAS brief HIMSS profile Becker's Journal pitch
Proof in regulated, committee-driven buying
Verito

Position 40 to AI's #1 pick for managed IT in tax and accounting firms.

Regulated buyer base. Long committee-driven sales cycles. Compliance-anchored buying criteria. Same wedge applies to HealthTech: clinically-reviewed content, compliance posture pages, citation engineering on the sources buyers triangulate against.

Read the full Verito case →
+159%
Organic clicks · 10 mo
+196%
Impressions
12
ChatGPT #1s
15.5%
Lead conversion
Free Clinical AI Accuracy Audit

Find out what AI tells hospital CIOs about you.

We run the prompts your hospital, health system, and payer buyers run, across 4 LLMs. You get a flagged report of every wrong FDA classification, missing HIPAA detail, hallucinated integration claim, and feature attributed to a competitor. 48-hour turnaround.

Get My Clinical Accuracy Report
Sample HealthTech AI Audit 6 Issues
HIPAA + BAA correctly described 2 / 4
HITRUST certification recognized 1 / 4
FDA classification correct 0 / 4
Company description accurate 4 / 4
Epic FHIR integration recognized 1 / 4
Feature attributed to competitor 3 instances
Honest Answers

Three questions every HealthTech CMO asks first.

The clinical buyer is the most credentialed buyer in B2B. The marketing has to match.

Our content has to clear compliance.
We meet your compliance, legal, and clinical teams in week 1 and build a pre-approved framework. Everything inside the framework ships fast. Structure is reviewed once, not every page.
AI hallucinates too much in healthcare to trust.
Precisely why HealthTech needs proactive AI representation management. If you do not shape the AI answer, the AI shapes it badly, and a buyer notices on a sales call.
Our sales cycles are too long for SEO to matter.
Long sales cycles mean buyers spend more time researching. AI search is now the dominant mid-cycle research surface. Hospital procurement reads your AI representation, not your homepage.
FAQ

HealthTech questions

Specific to the category. General FAQ lives on the main FAQ page.

How is HealthTech SEO different from generic B2B SaaS SEO?
HealthTech buying committees include compliance, legal, clinical, IT, and procurement. Every clinical claim has to clear a clinician. Every compliance posture has to clear legal. We pair with your MD/RN and compliance team, optimize for both Google rank and AI citation accuracy on HIPAA, FDA, and EHR integration claims.
Can you fix AI misstating our FDA, HIPAA, or HITRUST posture?
Yes. We build a canonical /llm-info/ and compliance posture page, optimize your Trust Center, and seed analyst-tier citations on KLAS, HIMSS, and peer-reviewed journals where applicable. LLMs sample these as authoritative source-of-truth. We also alert you when any model misstates your posture.
We compete with Epic, Cerner, athenahealth. Can we actually rank?
Not on category head terms. Yes on specialty-specific, integration-specific, and practice-size-specific long-tail queries. And yes on AI shortlist inclusion for prompts with stated specialty, EHR, and size constraints. That is where mid-market HealthTech wins.
Do you handle KLAS and Black Book citation strategy?
Yes. KLAS and Black Book citations carry the highest weight in HealthTech AI search. We help structure content that analyst firms pick up, prep briefing materials, and seed third-party validation that improves analyst visibility. We do not replace your AR or PR firm, we amplify them.
How fast do results show?
AI citation accuracy improvements show in 6 to 10 weeks once /llm-info/ and compliance posture pages ship. Google ranking improvements for specialty and integration queries follow in 4 to 8 months due to longer healthcare indexing cycles. Hallucination alerts work from week 2.
What about FDA SaMD classification content?
For AI-enabled HealthTech, the FDA SaMD vs clinical decision support distinction is the most-misstated claim in AI search. We build explicit classification content with regulatory citations (21st Century Cures, FDA guidance documents), reviewed by your regulatory team before publishing.
Do you work with specialty-specific HealthTech?
Yes. Behavioral health, telehealth, RCM, patient engagement, care coordination, and AI clinical decision support each have different vocabulary, citation sources, and buyer prompts. We adjust the playbook per specialty rather than running a single horizontal motion.
What kinds of HealthTech SaaS do you work with?
EHR and EMR, patient engagement, clinical workflow, telehealth, RCM, care coordination, behavioral health, digital therapeutics, and AI clinical decision support. Mid-market HealthTech SaaS between $5M and $50M ARR.
See What AI Is Saying

Find out how AI describes your HealthTech to hospital CIOs.

Free 30-min teardown. Your HIPAA, FDA, and integration claim accuracy across 4 LLMs, your top 5 buyer prompt clusters, and the gap vs the incumbents.

Book My Healthcare Category Teardown Get the Clinical Accuracy Report