AI visibility score
3.5/ 10Weak

#1,871,325 of 2,704,227 in Technology

As of 2026-10-03 · Engagemii indexCheck another site →Live terminal →

AI Visibility Scorecard

jschmitz.dev Hugo v0.115.4

jschmitz.dev Hugo v0.115.4

Unclaimed

jschmitz.dev · Technology

Borderline visible. AI bots can crawl jschmitz.dev Hugo v0.115.4, 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

#1,871,325 of 2,704,227 in Technology for AI visibility

19

AI Naming Predictability

i

Rarely named · 19/100

Technology average 28

Top 49% of Technology

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3.5

AEO Visibility

i

Near-invisible · 3.5/10

Technology average 4.4

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-

Network Authority

i

Not connected yet

0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.

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25

Muse Index Score

i

AI agent readiness

Basic · 25/100

Technology average 17

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0

AI Adoption

i

None detected · 0/100

Technology average 2

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About jschmitz.dev Hugo v0.115.4

from our crawl and measurement

jschmitz.dev is a business whose own site puts it this way: "Toggle navigation jschmitz.dev About Imprint Privacy jschmitz.dev Exploring Spring Security's Authorization Mechanisms Posted on December 21, 2023 | Jan Schmitz In this blog post, we’ll." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 3.5 out of 10.

Our crawl found structured data on the page (WebSite, Organization), a sitemap and a readable heading structure. It is missing an llms.txt file.

Company ·
jschmitz.dev Hugo v0.115.4
Website ·
jschmitz.dev
Industry ·
Technology
Site status ·
Live (The website showed an active business site when last checked (Nov 1, 2026).)
Last scored ·
Oct 3, 2026

The 6 on-page signals AI reads

Strong · Good · Fair · Weak

Structured Data

Fair

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

Fair

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Good

Sitemaps and entity links AI can follow.

The 6 off-page signals AI reads

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 read your site and name it in answers. At 3.5/10, jschmitz.dev Hugo v0.115.4 is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

How to test FTP file exchanges with MockFtpServer?

Posted on November 18, 2022 | Jan Schmitz An application running in complete isolation is quite rare these days. Often, they integrate with other services to increase the value they deliver. When dealing with legacy applications, I often see the pattern of file transmission via FTP. Because the correct and stable integration of services can be an important part of business it should be tested properly.

How to test any HTTP Client of your Spring Boot Application with MockServer?

Posted on June 1, 2022 | Jan Schmitz In an integration test, we want to test the interaction of several components of our application. However, as soon as one of these components communicates with a 3rd party service via HTTP, this can present us with a challenge. To be independent of this service, we have to mock it. In this blog post, I will show you how to do that with the help of MockServer.

How To Improve JUnit DisplayNames With The New 'Named' API?

Posted on March 23, 2022 | Jan Schmitz With JUnit Jupiters @ParameterizedTest annotation, you can execute the same test multiple times, but with different parameters. This is useful if you want to test the same code with different data. For Example, to test for special cases or limits. The annotation is used in combination with ArgumentSources like the @MethodSource.

How to test the Web Services of your Spring Boot Application with @WebServiceServerTest?

Posted on January 12, 2022 | Jan Schmitz The idea of applications that provide their services over the web is anything but new. Chances are quite high that you already implemented such a service through a REST API. But before REST, there was a different approach to providing such services - SOAP. The release of Spring Boot 2.6.0 introduced a new test slice to test the components involved in providing these services.

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Picked for jschmitz.dev Hugo v0.115.4: How-To

How to Get Your Company Named by ChatGPT, Gemini, and Claude

When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.

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Source & Attribution

Scored by Engagemii on October 3, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/jschmitz-dev

Cite this score: Engagemii (2026). "AEO Score for jschmitz.dev Hugo v0.115.4." Retrieved from https://engagemii.com/aeo/brands/jschmitz-dev

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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