AI Visibility Scorecard
dockinghero.com · Healthcare
Borderline visible. AI bots can crawl Docking Hero, 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 3 times
Claude
#337,203 of 925,361 in Healthcare for AI visibility
27
AI Naming Predictability
iRarely named · 27/100
Healthcare average 11
Top 10% of Healthcare
See what's behind this score →4
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Healthcare average 3. Claim your page and Engagemii is your first.
See what's behind this score →5
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from dockinghero.com
Docking Hero is a citizen science project by Thera Bytes, the University Hospital Erlangen, and the University of Rostock. We want to find a cure for rare diseases by using the power of games.
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
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 read your site and name it in answers. At 4/10, Docking Hero is crawlable but under-signaled - fixable, and the signals above are where to start.
Why does the university need a superhero like you?
Developing a cure takes years of analyzing data and huge amounts of money. Therefore, universities concentrate their resources and computing power on more frequently occurring diseases. We want to improve this process in two ways: By handing over calculations to you, the players, and by looking for a cure in existing drugs.
What is Drug Repurposing?
Finding a cure often means developing a new drug. However, the approval of new drugs can require 10 to 15 years of clinical trials and can cost up to 2 billion dollars. That's why we are looking for new areas of application for existing drugs. This process is called Drug repurposing.
Where are the data sets coming from?
The universities combine and process data from various databases and send us datasets suitable for calculation. These calculations are quite tricky to get right, so we use the industry-proven program AutoDock Vina to crunch the numbers. The amount of drugs and substances in databases like ZINC is staggering and there are millions of potential combinations that we want to examine.
What exactly is the app calculating?
The app calculates how well various drugs fit to receptors in the human body. The term for this is protein-ligand docking. Imagine a key and a lock: The protein is the lock and the ligands are the keys. Only certain keys fit into the lock. As an example, you may have heard how caffeine works in the human brain. Your body produces Adenosine to prevent your brain from being overworked.
How will my calculations contribute to science?
Your calculations could be the important first hint towards which drugs might fit with certain receptors. This helps to find the most promising candidates for rigorous real world testing. Your discoveries will not only be useful for Uveal Melanoma, but they will also be helpful for researchers to understand interactions of many different drugs and the human body.
Is this your brand?
The exact fixes for Docking Hero
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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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Scored by Engagemii on September 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/dockinghero
Cite this score: Engagemii (2026). "AEO Score for Docking Hero." Retrieved from https://engagemii.com/aeo/brands/dockinghero
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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