Relationships among diseases, treatments, and clinicians are unclear
Hospital AEO
Help AI understand your hospitaland cite it as a trusted answer
We structure disease, treatment, and clinician information so AI can understand it — then measure exposure across Google AI Mode, Gemini, and ChatGPT through official citations and booking conversion.
Medical content review · Schema design · Repeat AI engine measurement · Booking conversion analytics
Outcome flow
Structure medical info
AI answer exposure
Official citation
Hospital visit
Consult & book
Beyond AI visibility — connect trusted official citations to patient bookings.
Problem
Having information on your website does not mean AI understands it
Too little content that directly answers patient questions
Incomplete Schema, canonical tags, and internal links
Clinician credentials and evidence sources are insufficiently connected
AI exposure is measured, but booking contribution is unknown
AEO is not about producing more content — it is about connecting accurate information so AI can understand and cite it.
Check my hospital statusBenefits
Benefits that map to each stakeholder decision
We organize visibility, trust, traffic, bookings, and operations by role so budgets and priorities move faster.
Hospital leadership
- See AI search competitiveness by disease and center
- Build evidence for marketing budget allocation
- Measure how AI search influences bookings
- Manage medical misinformation and brand risk
Marketing teams
- See which questions mention your hospital
- Compare AI exposure rankings with competitors
- Analyze official website citation rates
- Discover high-performing content themes
Clinical & content teams
- Build content that answers patient questions directly
- Clarify clinician credentials, experience, and specialties
- Manage evidence and review history per claim
- Detect outdated or conflicting information
Engineering & data teams
- Automatically check Schema and indexing errors
- Automate repeat measurement by AI engine
- Separate crawl failures from true non-exposure
- Connect AI traffic events through booking completion
Metrics
We measure beyond exposure — through real patient actions
Track official citation rate, answer accuracy, and conversion together to confirm improvements lead to bookings.
MetricMeaning
Weighted AEO visibility
Composite of question importance and exposure by AI engine
Official citation rate
Share of AI answers citing the hospital’s official website
Accurate answer rate
Share of AI answers that pass medical review criteria
Top-3 mention rate
Share of recommendation answers where the hospital appears in the top 3
Entity coverage
Share of disease–treatment–clinician relationships reflected in content
Qualified AI visits
Engaged visits from AI recommendation or citation paths
Booking completion rate
Share of AI-attributed visits that complete a booking
We do not guarantee absolute figures such as 60% visibility. We measure improvement trends under fixed questions, AI engines, locales, and repeat counts.
Get a sample reportArchitecture
Connect hospital information to AI answers and booking conversion
Operate knowledge, content, measurement, and outcomes as one continuous loop.
Supporting technical stack
- Entity–relationship knowledge graph
- Medical evidence and review history management
- JSON-LD and technical SEO
- Repeat measurement across Google AI Mode, Gemini, and ChatGPT
- GSC, Bing, web analytics, and booking event connection
01
Hospital information source
Trusted source data for diseases, treatments, clinicians, centers, and booking events
02
Knowledge & quality layer
Connect entities, relationships, evidence, and review history so AI can infer context
03
Content publishing layer
Publish citable pages with Q&A, HTML, Schema, and internal links
04
AI measurement layer
Repeat-measure exposure, citation, ranking, and accuracy by engine and question
05
Outcomes layer
Connect AI traffic, consults, and bookings — then feed insights back into improvement
Services
From audit to content, Schema, and measurement
A staged scope built for healthcare AEO execution.
01
AEO baseline audit
- Site structure and technical SEO
- Content–intent alignment
- E-E-A-T
- Schema
- Mobile web performance
- Current exposure by AI engine
02
Medical knowledge modeling
- Define core disease and treatment entities
- Connect clinicians, centers, tests, and procedures
- Manage evidence sources and reviewers
- Identify content gaps
03
Content & Schema improvement
- Patient-question-centric Q&A
- Direct answers and summary snippets
- Disease and clinician Schema
- Canonical tags, internal links, and sitemaps
- Mobile performance improvements
04
Measurement & iteration
- Design 20+ questions
- Repeat 10–20 times per AI engine
- Analyze official citation, top exposure, and accuracy
- Connect AI traffic to booking outcomes
- Monthly improvement reporting
90-Day Roadmap
90-day roadmap
Clear phases and deliverables so execution stays visible.
| Period | Work | Deliverable |
|---|---|---|
Weeks 0–2 | Scope and question definition, data validation | Baseline report |
Weeks 3–4 | Entity–relationship and content gap analysis | Knowledge model & improvement list |
Weeks 5–8 | Content, Schema, and performance improvements | Improved pages & launch report |
Weeks 9–10 | Repeat AI engine measurement | Exposure, citation, and accuracy comparison |
Weeks 11–12 | Connect traffic and booking outcomes | Monthly dashboard & operating playbook |
Quality & Safety
For medical AEO, accuracy and trust come before exposure
We enforce medical review, evidence, and data quality as pre-publish gates.
Review our quality criteriaEvery medical claim linked to a source and reviewer
Manage authored, reviewed, and valid-until dates
Automatically validate analysis URLs and domains
Prevent mixing other customer or staging data
Expert review for high-risk medical questions
Restrict unfounded success-rate and superiority claims
Apply minimum personal-data collection and retention policies
FAQ
Frequently asked questions
How is AEO different from traditional SEO?
SEO optimizes for clicks in search results. AEO optimizes so AI can understand hospital information and use it in answers and citations. In practice, both are run together.
Can you guarantee AI search exposure?
AI answers vary with engine updates, phrasing, location, and personalization, so a specific exposure rate is hard to guarantee. We manage improvement in official citation rate and exposure trends under the same measurement conditions.
How long does it take?
An initial audit usually takes about 2 weeks. Core content and technical improvements plus repeat measurement typically take 8–12 weeks.
Do we need to rebuild the entire hospital website?
No. We prioritize core disease, center, and clinician pages and apply changes in stages.
How do you verify results?
We measure not only AI exposure and citation, but also AI-attributed visits, consult clicks, and booking start-to-completion.
How is your hospital described in AI search today?
We check whether core disease and clinician information is accurately reflected in AI answers, then diagnose the content and technical items to improve first.