AI Visibility Scorecard
mkcert.org
mkcert.org · Technology
Borderline visible. AI bots can crawl mkcert.org, 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
#1,746,342 of 2,705,025 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.2/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
About mkcert.org
from our crawl and measurement
mkcert.org is one of the businesses we track in the Technology space. When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
On the page it is passable on a workable page structure, a partly stated business identity and basic crawler access. What holds it back is credibility markers like credentials or reviews, structured data describing the business and sitemaps and entity links AI can follow.
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
Weak
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
Fair
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Fair
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
Fair
Forum and community discussion.
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 4.2/10, mkcert.org is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
Why mkcert.org?
TLS and SSL are vital for web security, but they're useless unless you have a trusted root certificates list. Root certificates identify who you trust unconditionally as well as who you trust to authenticate the legitimate owners of a website. Modern browsers are making it easier to evaluate your list of trusted root certificate authorities.
What is mkcert.org?
mkcert.org is the next step in letting you, not just Mozilla or other browser developers, decide who you trust. We focus on creating and maintaining methods for you to create your own custom list of root certificate authorities that you trust.
How do I use it?
Simple mkcert.org provides a simple, clear, wget-able API for you to download PEM files for use with any tool that uses OpenSSL.
How does it work?
Once a day, mkcert.org obtains the latest list of Mozilla's trusted root CA certificates. It parses the file, removes anything explicitly marked as untrusted, and then keeps the data in memory. You can then query the data, view all the certificates, and choose which ones you'd like to trust. You can then use our API calls to build your own customised PEM files, containing only the certificates you'd like to trust.
What if I don't trust you?
Your caution is commendable and understandable. The code that backs mkcert.org is totally open source, available to anyone. You can audit the code, and we invite you to do just that. If you still prefer, or your application requires, to limit trust to your organization, we encourage you to download the source, build it yourself, and run the service on your own hardware.
Is this your brand?
The exact fixes for mkcert.org
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.
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Source & Attribution
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/mkcert-org
Cite this score: Engagemii (2026). "AEO Score for mkcert.org." Retrieved from https://engagemii.com/aeo/brands/mkcert-org
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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