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AI Visibility Scorecard
materialmurmur.com · Other
At 1.8/10, material murmur is close to invisible in AI search today. Most assistants will not cite it when asked about your category - fixable, and the signals below show exactly where to start.
Monitoring for AI engine activity
In the Engagemii AEO index
1.8
/10
AEO Score
from our crawl and measurement
material murmur is a business whose own site puts it this way: "i works about contact 송민섭 Song Minsub Architect 한국예술종합학교 건축과를 졸업하고 착착건축사사무소에서 실무를 익혔습니다." As far as answer engines are concerned it may as well not exist yet: 1.8 out of 10.
The site is missing structured data describing the business, an llms.txt file and a sitemap.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
2
Clear headings and answer-style content.
Entity Clarity
2
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
3
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
3
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Authority
0
Little domain authority yet.
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 1.8/10, material murmur is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for material murmur
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
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 August 30, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/materialmurmur
Cite this score: Engagemii (2026). "AEO Score for material murmur." Retrieved from https://engagemii.com/aeo/brands/materialmurmur
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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