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AI Visibility Scorecard
getreferralmd.com · Technology
Somewhat visible. AI bots can read ReferralMD, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 7 times
Meta AI · Amazon Alexa · Claude · Apple Intelligence
#56,068 of 2,655,535 in Technology for AI visibility
6.7
/10
AEO Score
from our crawl and measurement
"Close every referral loop. ReferralMD connects PCPs, specialists, and health systems on one platform. Request a demo." That is how ReferralMD of Mt. Pleasant, SC introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (SoftwareApplication, SiteNavigationElement, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and AmazonBot (Alexa AI).
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
8
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
5
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
10
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Authority
4
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
No social discussion found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.7/10, ReferralMD has a working base to build on - fixable, and the signals above are where to start.
When should I use an API to connect with ReferralMD?
Application Programming Interfaces (APIs) are best suited when ReferralMD needs to query the third-party system to receive up-to-date information, such as a provider’s appointment availability or to request Continuity of Care Documents (CCD or CCDA) for a patient.
How do I find the right provider to send my referral to?
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Can I use ReferralMD to find new referral partners?
Research potential referral partners using our Provider Directory which includes over 5 million providers (any provider in the US with an NPI number) and updated monthly based on CMS data
Can ReferralMD tell me how long each referral takes?
Service Level report shows the average time referrals stay in each phase of the workflow and calculates the following metrics for the practice and per provider: Process Time: the time between referral receipt and when staff schedules appointment with the patient Wait Time: the time between referral receipt and patient’s appointment date Report Time: the time between appointment date and when consult report is sent to the referring provider
What are the benefits for ACO’s, payers, primary and specialty care?
For ACOs and other payer-provider networks • Better management of in- and out-of-network referrals • Better coordination; fewer unnecessary or duplicate services • Reduce referral leakage For patient-centered medical homes and other primary care settings • More efficient referral process, with less phone, fax, and manual tracking • Fewer gaps in care, better access to specialist findings • Reduce administration processing time and errors • Better patient experience • Reduce communication errors due to inaccurate referral data, lower chances of a malpractice lawsuit. For specialty care settings
Is this your brand?
The exact fixes for ReferralMD
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/getreferralmd
Cite this score: Engagemii (2026). "AEO Score for ReferralMD." Retrieved from https://engagemii.com/aeo/brands/getreferralmd
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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