AI Visibility Scorecard
mmatscore.com · Pet Care
At 0.40/10, Myofascial Mass And is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, E-E-A-T Signals and Backlinks. That is fixable, and the signals below show where to start.
Monitoring for AI engine activity
In the Engagemii AEO index
7
AI Naming Predictability
iRarely named · 7/100
Pet Care average 14
Top 71% of Pet Care
See what's behind this score →0.40
-
Network Authority
iNot connected yet
0 relationships on record. Businesses average 3. Claim your page and Engagemii is your first.
See what's behind this score →0
0
from our crawl and measurement
Myofascial Mass And is a business whose own site puts it this way: "Although both the BCS and the MCS evaluate uniform muscle wasting due to disease or malnutrition, neither system evaluates whether or not patients have increased muscle mass, or when." When AI engines look at it, they find little to work with. It scores 0.40 out of 10.
Our crawl found structured data on the page (WebSite) and a readable heading structure. It is missing an llms.txt file and a sitemap.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
Clear headings and answer-style content.
Entity Clarity
Fair
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
-
Not yet measured.
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 0.40/10, Myofascial Mass And is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
How does the MMAT score work?
The MMAT score is divided into 3 parts, one for each the forelimbs, the vertebral column, and the hindlimbs, and each region is assigned its own score. Scores range from emaciation at one end, to debilitating excess of either mass or tone at the other.
How to palpate for the MMAT score?
To assess muscle mass, have the patient stand squarely and facing forward. Palpate the shoulder blade musculature, along the top of the back as well as the abdominal wall, and the hindlimb musculature over the pelvis and thighs. Muscle tone can be assessed at the same time, noting any changes from when the patient is standing, compared to lying down.
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mmatscore
Cite this score: Engagemii (2026). "AEO Score for Myofascial Mass And." Retrieved from https://engagemii.com/aeo/brands/mmatscore
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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