AI Visibility Scorecard
brokencloudstorage.info · Technology
Somewhat visible. AI bots can read End, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 8 times
Claude · Apple Intelligence · Meta AI
#226,639 of 2,707,329 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.8/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
End describes itself simply: "However, these services do not provide end-to-end encryption (E2EE), meaning that the provider has access to the data stored on their servers." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.8 out of 10, readable in places and missing in others.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
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
Weak
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
Sitemaps and entity links AI can follow.
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
Good
Forum and community discussion.
Social Mentions
Weak
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 5.8/10, End has a working base to build on - fixable, and the signals above are where to start.
What is your threat model?
All of our vulnerabilities are in the setting of a malicious server. This means that the server is controlled by an adversary, who can read, modify, and inject data at will. This may seem like a strong adversary model, but it is the most realistic for E2EE cloud storage. This model is also consistent with the security claims made by the providers we analyzed.
What are the takeaways of your analysis?
First, there is a gap between what is marketed by some providers and the reasonable expectations users have of their products. Confidentiality is a baseline requirement which we break for some providers. We violate integrity for files and metadata in many other providers, injecting (possibly incriminating) files in the storage of users. Metadata is leaked in many cases, which can be a privacy concern.
What must be done to improve this field?
The effort should be two-fold. On the one hand, more analyses of E2EE cloud storage systems "in the wild" need to be conducted. This is crucial to understand the current state of deployed protocols and what the challenges are. On the other hand, more theoretical work is required to provide a solid foundation for the design of secure E2EE cloud storage systems.
How did you choose which products to analyze? Why have you not analyzed X?
We have chosen the products based on their popularity, especially when using queries such as "most secure end-to-end encrypted cloud storage" on search engines. While clearly there are many more providers, some of which might be secure, we have decided to leave those as future work. We did not omit any provider on purpose, and we are open to analyzing more providers in the future.
Is this your brand?
The exact fixes for End
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/brokencloudstorage-info
Cite this score: Engagemii (2026). "AEO Score for End." Retrieved from https://engagemii.com/aeo/brands/brokencloudstorage-info
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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