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AI Visibility Scorecard
zenml.io · Technology
Somewhat visible. AI bots can read ZenML — The AI Control Plane, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 5 times
ChatGPT · Claude · Apple Intelligence · Meta AI
#25,097 of 2,641,478 in Technology for AI visibility
7
/10
AEO Score
from our crawl and measurement
ZenML The AI Control Plane is a Munich business whose own site puts it this way: "Reproducible ML pipelines with ZenML. Replayable agent evals with Kitaru. One platform, on the infrastructure you already use." Measured against the twelve signals AI engines rely on, it scores 7.0 out of 10, a strong showing.
Our crawl found structured data on the page (Organization, WebPage, BreadcrumbList), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 5 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) and GPTBot (ChatGPT).
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
10
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
6
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
10
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Authority
4
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
6
Forum and community discussion.
Social Mentions
7
Social discussion and mentions.
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 7/10, ZenML — The AI Control Plane has a working base to build on - fixable, and the signals above are where to start.
What is the difference between ZenML and other machine learning orchestrators?
ZenML doesn't take an opinion on the orchestration layer. Start writing locally, deploy on any orchestrator. We support many orchestrators natively and can be extended to work with custom orchestrators. Read more about how ZenML compares to orchestrators.
Does ZenML integrate with my MLOps stack?
Yes! ZenML supports Kubernetes, AWS, GCP Vertex AI, Kubeflow, Apache Airflow, and many more. Artifact, secrets, and container storage for all major cloud providers.
Does ZenML help in GenAI / LLMOps use-cases?
Yes, ZenML is fully compatible and intended for productionalizing LLM applications. We have examples with LlamaIndex, OpenAI, LangChain, and more. Check out our projects for real-world examples.
How can I build my MLOps/LLMOps platform using ZenML?
Start simple with our user guides, then extend with experiment trackers, model deployers, model registries and more from the stack components library.
What is the difference between the open source and Pro product?
The core framework is Apache 2.0 on GitHub. Pro offers a managed version plus Pro-only features for scaling teams. Learn more on the comparison page.
Is this your brand?
The exact fixes for ZenML — The AI Control Plane
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/zenml-io
Cite this score: Engagemii (2026). "AEO Score for ZenML — The AI Control Plane." Retrieved from https://engagemii.com/aeo/brands/zenml-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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