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AI Visibility Scorecard
Estrich
esb-platten.com · Other
At 3/10, Estrich 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
3
/10
AEO Score
About Estrich
from our crawl and measurement
Estrich operates out of Mountain View, CA. As far as answer engines are concerned it may as well not exist yet: 2.8 out of 10.
The site is missing structured data describing the business, an llms.txt file and a sitemap.
The 6 signals AI reads
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
5
Clear headings and answer-style content.
Entity Clarity
4
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
0
Experience, Expertise, Authority, Trust markers.
Technical AEO
6
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
5
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Trust
0
Little domain authority yet.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions 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 3/10, Estrich is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for Estrich
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Why your brand doesn't show up in ChatGPT answers (and how to fix it)
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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Source & Attribution
Scored by Engagemii on August 4, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/esb-platten
Cite this score: Engagemii (2026). "AEO Score for Estrich." Retrieved from https://engagemii.com/aeo/brands/esb-platten
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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