AI Visibility Scorecard
us2.ai · Healthcare
Borderline visible. AI bots can crawl Us2.ai, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 4 times
Claude · Apple Intelligence
#32,048 of 925,306 in Healthcare for AI visibility
30
AI Naming Predictability
iRarely named · 30/100
Healthcare average 11
Top 6% of Healthcare
See what's behind this score →5
-
Network Authority
iNot connected yet
Healthcare average 0.0
0 relationships on record. Businesses in Healthcare average 3. Claim your page and Engagemii is your first.
See what's behind this score →50
Muse Index Score
iAI agent readiness
Agent-ready · 50/100
Healthcare average 18
See what's behind this score →10
from our crawl and measurement
"Us2.ai is FDA-cleared AI echocardiography reporting software: fully automated analysis and structured echo reports from DICOM in seconds. Book a demo." That is how Us2.ai of Singapore introduces itself. When AI engines look at it, they find little to work with. It scores 4.6 out of 10.
The gap is on the page itself: the site is missing structured data describing the business, an llms.txt file, a sitemap, which are the first things an answer engine looks for.
Our monitoring has logged 3 AI crawler visits here: the engines come, the question is what they find.
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 4.6/10, Us2.ai is crawlable but under-signaled - fixable, and the signals above are where to start.
What does Us2.ai do?
Us2.ai is an FDA-cleared AI platform that fully automates echocardiogram analysis — measurements, disease detection, and a structured report generated in seconds from a single DICOM upload. It plugs into existing PACS, CVIS, and reporting systems without changing how studies are acquired.
How is Us2.ai different from other AI echocardiography tools?
Most tools assist with a single task — strain, ejection fraction, or view classification. Us2.ai delivers an end-to-end report covering guideline measurements, diastolic and valvular assessment, and disease screening (cardiac amyloidosis, heart failure, aortic stenosis, pulmonary hypertension) in one zero-click pass. It is vendor-neutral across GE, Philips, Siemens, Canon, and handheld POCUS.
Where is Us2.ai cleared for clinical use?
Us2.ai holds regulatory clearance in 28+ markets including FDA (US), CE MDR (EU), MHRA (UK), TGA (Australia), Health Canada, PMDA (Japan), and HSA (Singapore). See the Regulatory Status page for the full market-by-market list with certificate identifiers.
How long does it take to deploy Us2.ai?
Typical go-live is about one month from kickoff: scoping, install, clinical validation, and production. Cloud deployments are fastest; on-premise installations follow the same four milestones with hospital-IT involvement during install.
Is AI echocardiography reimbursable?
In the US, echocardiography procedures are billed under established Category I CPT codes (e.g. 93306 for complete TTE, 93350 for stress echo). For specific AI-enabled coded indications, CMS has established dedicated codes — for example, Category III code 0932T for AI-derived heart failure with preserved ejection fraction (HFpEF) detection, effective January 1, 2025. See US Reimbursement for codes, Medicare payment methodologies, and OPPS / NTAP detail. Per-country coding and coverage for the UK, Germany, France, Switzerland, Canada, Brazil, Australia, Japan, India, Taiwan, Thailand, Philippine
How accurate is Us2.ai?
Us2.ai's automated measurements have been validated in peer-reviewed studies against expert readers, with agreement at or above inter-reader variability for ejection fraction, GLS, diastolic function, and disease detection endpoints. See Clinical Evidence for the full publication record.
Is patient data safe with Us2.ai?
Yes. Us2.ai is HIPAA and GDPR compliant, ISO 27001:2022 certified, SOC 2 Type II audited, and MDSAP certified. On-premise deployment is available where data must remain inside the hospital network.
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When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/us2-ai
Cite this score: Engagemii (2026). "AEO Score for Us2.ai." Retrieved from https://engagemii.com/aeo/brands/us2-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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