AI Visibility Scorecard
BOOST Study
ucsfboost.org · Healthcare
Somewhat visible. AI bots can read BOOST Study, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Meta AI · Claude · Perplexity
#37,318 of 923,556 in Healthcare for AI visibility
6
AEO Visibility
iVisible · 6.2/10
10
Muse Index Score
iAI agent readiness
Basic · 10/100
0
AI Adoption
iNone detected · 0/100
About BOOST Study
from our crawl and measurement
"Elissa EpelElissa Epel, Ph.D., is a Professor at UCSF whose research focuses on healthy aging, psychological and social stress, and resilience." That is how BOOST Study introduces itself. Its AI visibility score is 6.2 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (WebSite), an llms.txt file for AI models and a sitemap.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
Off-page authority
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.
What this score means
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 6.2/10, BOOST Study has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What is BOOST Study?
The BOOST Study is assessing how vaccine response is influenced by factors such as age, immune cell age, sleep, mood, and stress. We will discover the best predictors of an optimal antibody response to vaccination and factors that promote long term antibody response 6-months later.
Who is conducting the study?
This is a research study led by Drs. Elissa S. Epel, PhD, & Aric A.
How is my info kept safe?
As researchers, we understand information about your life is personal. It’s our priority to keep the information you share for this study private. All information about you will be de-identified, meaning it’s kept separate from your name, phone number, or email, and no one outside of our study staff will have access to your records, including your employer.
Is this your brand?
The exact fixes for BOOST Study
Which AI engines already crawl you
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The AEO Checklist Every Small Business Owner Needs Right Now
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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Source & Attribution
Scored by Engagemii on August 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/ucsfboost-org
Cite this score: Engagemii (2026). "AEO Score for BOOST Study." Retrieved from https://engagemii.com/aeo/brands/ucsfboost-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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