When patients ask AI about a condition,
make yours the cited answer.
Healthcare consumers and clinicians now use ChatGPT, Claude, and Perplexity as first-line research. GeoGenie helps healthcare brands, providers, and medtech companies appear in those answers - accurately, safely, and compliantly.
Built for health systems, medtech, pharmaceutical brands (within regulatory scope), and digital health platforms.
Patients and clinicians have switched
first-line research.
Healthcare may be the highest-stakes vertical in AI search. Patients are using ChatGPT to research symptoms before booking an appointment. Caregivers are using Perplexity to compare specialist options. Clinicians are using LLMs as a daily reference. Procurement teams at hospitals are using AI to shortlist medtech vendors.
In every case, what AI says first carries enormous downstream weight - on the appointment booked, the treatment researched, the provider chosen, the device evaluated. Healthcare brands that don't show up in those answers don't just lose share of voice; they cede authority on the conditions and topics they should own.
Healthcare also has constraints no other vertical shares: regulatory boundaries (FDA promotional rules, EMA scope, advertising restrictions on prescription drugs), patient privacy (HIPAA, GDPR special categories), and accuracy obligations that make any "growth at all costs" framing unworkable.
GeoGenie is built for healthcare with these constraints as first-class citizens, not afterthoughts.
How the 3-Pillar framework
applies to healthcare.
Trust Layer - clinical-grade content, retrieval-ready
We audit your owned content - condition pages, treatment pages, provider directories, payer information, patient education - against retrieval signals AI engines weight heavily in medical queries: source citations, author credentials, medical reviewer attribution, schema.org MedicalEntity markup, evidence linking. Healthcare AI search uniquely rewards properly attributed, expert-reviewed content over volume.
Scale Layer - one page per patient question, mapped to clinical accuracy
Patients ask in their own language: "Is X covered by insurance for type 2 diabetes." "Recovery time after Y surgery." "Best children's hospital for cardiology in [region]." GeoGenie maps every priority patient-intent prompt to a specific page on your site - with clinical accuracy and medical reviewer sign-off built into the workflow. The Scale Layer is what makes a health system genuinely competitive against WebMD and Mayo Clinic in AI answers for its own catchment area.
Signal Layer - the medical citation supply chain
AI models pull medical authority from a tight set of sources: peer-reviewed journals (where surfaceable), expert clinical commentary, patient advocacy organizations, regulatory bodies, established medical publications. We map the citation landscape for your therapeutic area, condition catalog, or specialty - and run a clinical-grade outreach program through our Publisher Network that respects every promotional boundary your compliance team requires.
The 8-step framework,
with compliance baked in.
- 1
AI Visibility Health Check - including a compliance-safe content audit alongside marketing visibility.
- 2
Topic Selection - therapeutic areas and conditions mapped to clinical service lines.
- 3
Prompt Identification - patient and clinician intent prompts, with promotional-boundary tagging.
- 4
Target Prompts and Pages Mapping - page-level architecture with medical reviewer flags.
- 5
Citation Landscape Analysis - your therapeutic area's specific authority map.
- 6
On-site Content and Technical Execution - schema, attribution, medical reviewer workflow.
- 7
Off-site Content Strategies - compliant medical and patient-advocacy placements.
- 8
Measurement and Impact - mention accuracy, sentiment, and post-answer appointment booking attribution.
Healthcare-specific
safeguards.
HIPAA-safe analytics: visitor data and AI exposure data segmented, anonymized, and never combined with PHI surfaces.
Promotional boundary tagging: on every page in scope - prescription drug brands, medical device brands, and regulated services can run GeoGenie within FDA and EMA scope without policy violations.
Medical reviewer workflow: every content brief includes reviewer fields that align with your existing clinical sign-off process.
Accuracy monitoring: when an AI engine misrepresents a condition or treatment associated with your brand, you see it in your dashboard and can dispute it through the appropriate channel.
GDPR special category compliance: for European operations.
SOC 2 Type II and ISO 27001: alongside the healthcare-specific posture.
Use cases across
healthcare sub-segments.
Health systems and hospitals: service line visibility per specialty, geographic comp-set tracking, appointment booking attribution.
Digital health and telehealth platforms: condition-level intent surfaces, payer and coverage education, member acquisition attribution.
Medtech and medical device: physician-facing content surfaces (within scope), procurement-surface authority for hospital RFPs.
Pharma and biotech (within promotional scope): disease-state education, HCP and patient education separately governed.
Patient advocacy and rare disease: authority building for under-served conditions, expert citation programs.
What healthcare teams
measure with GeoGenie.
AI mention accuracy - when your service or product is named, is the description correct.
Share of voice in disease-state and condition prompts vs. peer institutions and competing brands.
Appointment booking and member acquisition attribution from AI exposure.
Authority growth on long-tail clinical topics - the conditions where you should be the cited source.
How GeoGenie works
for healthcare brands.
Seven products. One goal: make AI engines cite your brand accurately when patients and clinicians ask.
50%
of consumers already use AI-powered search today
McKinsey AI Discovery Survey, n=1,927
$750B
of consumer spend will flow through AI search by 2028
McKinsey
ContextGenie - map who's asking AI about your health category
Our multi-agent research system maps the patient and consumer personas, health topics, and discovery contexts where your brand should appear in AI answers. It identifies which competitor brands and providers appear alongside you in AI health responses, which patient types are researching your category, and what health contexts trigger AI to recommend (or omit) your brand. Every other GeoGenie product depends on ContextGenie's output - it's the foundation. The Content Guidelines you set here teach GeoGenie your tone, vocabulary and brand rules once, and shape everything it writes afterwards.
PromptsGenie - predict the health queries patients use
See the prompts driving health discovery in your category - like "best probiotic supplements for IBS" or "top telehealth platforms for mental health support." PromptsGenie predicts both broad Coverage prompts (your head-term category) and commercial Depth prompts (high-intent queries where AI gives specific brand or provider recommendations). Win the depth prompts, and you'll start winning the broader category answers too.
MonitoringGenie - track your AI visibility in real time
Monitor your brand's Visibility %, Share of Voice, and Citation Rate across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. See exactly when competitor brands or providers get recommended instead of yours. Prompts are organized by health topic so you can track performance at the category and individual query level, and every prompt carries Action Suggestions - the on-site, off-site and UGC/social sources behind that answer, each with a recommended next action.
CitationsGenie - understand why AI cites other health sources, not you
Analyze the citation supply chain for your health topics. See which domains AI engines pull from when answering questions about your category - whether that's medical journals, health editorial sites, competitor blogs, or patient communities. If other brands' content is being cited but yours isn't, CitationsGenie shows you whether the gap is about content authority, structure, or freshness. Cited domains that accept placements surface as publisher-network offers, so you can earn a citation on a domain the AI already trusts.
ActionsGenie - get content briefs that establish your health authority
Turn visibility insights into action. ActionsGenie generates GEO-optimized content briefs - and turns them into full article drafts - across three tiers: on-site (educational health content, product or service pages, clinical FAQ content), off-site (health press coverage, third-party review platforms, medical directory listings), and social. Specialised agents cover Reddit engagement, earned-media articles, and YouTube metadata. GeoGenie's integrated publisher network turns briefs into published placements at exclusive partner rates - without sourcing publishers yourself.
SiteGenie - make your health content AI-ready
Audit your website for AI crawlability. Get structured data and schema recommendations (MedicalOrganization schema, Product schema, FAQ schema, Review schema) so generative engines can correctly parse your content and recommend your services or products. If AI can't properly understand your brand's health authority, it won't recommend you. SiteGenie also surfaces internal-linking opportunities and audits how clearly your site establishes your brand as an entity AI engines recognise.
BotsGenie - see when AI is actively citing your health content
GA4 can't see AI agent traffic - bots don't run JavaScript. BotsGenie reads your CDN logs to classify every AI bot visit: Citation (your health content is answering a live patient query right now), Indexing (AI is cataloging your content for future reference), or Training (AI is learning from your expertise). Overlaid with GA4, the Overview connects the whole chain: bots crawl, AI cites, those answers send patients back, and those sessions convert.
Three scenarios where
healthcare brands use GeoGenie.
Brand authority
Your brand has deep clinical expertise, but AI keeps citing generic health sites instead of your content. ContextGenie maps the topics and personas where you should be the authority. PromptsGenie identifies the queries where expert content wins. ActionsGenie builds the briefs that position your brand as the source AI relies on.
New product or service launch
You've launched a new supplement, treatment, or telehealth service, but AI still recommends your established competitors. Use ContextGenie and PromptsGenie to find the queries your launch must win, then ActionsGenie to create the authoritative content that gets your new offering into AI answers immediately.
Competitive visibility
A competitor is being cited every time someone asks AI about your health category. MonitoringGenie shows you exactly which health queries you're losing. CitationsGenie reveals why their content gets cited as authoritative and yours doesn't. ActionsGenie gives you the content plan to close the gap.
Why healthcare teams
pick GeoGenie.
Compliance posture that survives medical and legal review.
Medical reviewer workflow that fits your existing clinical sign-off process.
Authority-first methodology - we don't optimize for volume in healthcare, we optimize for cited accuracy.
Therapeutic-area-specific Publisher Network - relationships in medical publishing and patient advocacy that take a decade to build.
Find out what AI says about your condition, service, or product today.
Request a healthcare-specific compliance briefing and AI visibility audit. We'll walk your marketing, medical, and legal teams through the scope before any data leaves a sandbox.