#1,787,116 OF 2,702,035 IN TECHNOLOGY
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AI Visibility Scorecard
liabilityindex.com · Technology
Borderline visible. AI bots can crawl Liability Index, 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.
AI engines read this profile 1 times
Claude
#1,787,116 of 2,702,035 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from liabilityindex.com
The Liability Index is a single metric that determines how much security liability exists in an application.
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
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
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
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.
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 4/10, Liability Index is crawlable but under-signaled - fixable, and the signals above are where to start.
What is the Liability Index? #?
The Liability Index is a single value that determines how much security liability exists in an application. Measuring this metric will help your team keep your software systems safe by ensuring that known vulnerabilities are fixed quickly. Technically speaking, the Liability Index is a dependency freshness measurement that computes how long your dependencies have had published, yet patchable, security vulnerabilities.
Why does the Liability Index matter? #?
Most modern software systems depend on many different libraries. These libraries provide a ton of useful functionality that a software development team does not have to build themselves. However, this functionality does come at a cost: commonly used libraries are an attack vector for people looking to exploit security vulnerabilities.
How do you compute the Liability Index? #?
The Liability Index can be computed for either an entire project or for just a single dependency. Single Dependency # To compute the value for a single dependency, first determine the date that the current version was published, we’ll call this the published date. Next determine whether or not this version has a known security vulnerability.
Is this your brand?
The exact fixes for Liability Index
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/liabilityindex
Cite this score: Engagemii (2026). "AEO Score for Liability Index." Retrieved from https://engagemii.com/aeo/brands/liabilityindex
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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