AI Visibility Scorecard
Double-aye
Borderline visible. AI bots can crawl Double-aye, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
Monitoring for AI engine activity
In the Engagemii AEO index
4
AEO Visibility
iBorderline · 4.4/10
10
Muse Index Score
iAI agent readiness
Basic · 10/100
2
AI Adoption
iBasic · 2/100
About Double-aye
from our crawl and measurement
"Karakter penjaga utara digambarkan dengan pakaian tebal khas eksplorasi kutub, menambah nuansa petualangan yang nyata." That is how Double-aye introduces itself. When AI engines look at it, they find little to work with. It scores 4.4 out of 10.
Our crawl found structured data on the page (CollectionPage, BreadcrumbList, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
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
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
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
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 4.4/10, Double-aye is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
Mengapa Pendekatan “Build, Test, and Launch” Penting?
1. Mengurangi Risiko Kegagalan Melalui pengujian menyeluruh, risiko kegagalan produk dapat diminimalkan. Umpan balik dari pengujian membantu Anda memahami kelemahan dan memperbaikinya sebelum peluncuran. 2. Meningkatkan Efisiensi Proses ini memungkinkan tim bekerja lebih fokus dan efisien. Dengan tahapan yang terstruktur, pengembangan produk menjadi lebih fokus dan menghemat waktu. 3.
Is this your brand?
The exact fixes for Double-aye
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for Double-aye.
Source & Attribution
Scored by Engagemii on September 25, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/double-aye
Cite this score: Engagemii (2026). "AEO Score for Double-aye." Retrieved from https://engagemii.com/aeo/brands/double-aye
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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