AI Visibility Scorecard
decentriq.com · Technology
Somewhat visible. AI bots can read Decentriq, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 41 times
Meta AI · Claude · Apple Intelligence · Perplexity
#62,957 of 2,705,506 in Technology for AI visibility
68
6
AEO Visibility
iBorderline · 5.5/10
40
Muse Index Score
iAI agent readiness
Agent-ready · 40/100
2
AI Adoption
iBasic · 2/100
from our crawl and measurement
Decentriq, based in Zürich, describes itself simply: "Decentriq is a clean-room-native platform for privacy-safe data collaboration, audience building, and activation across the media ecosystem. Find out more." Its AI visibility score is 5.5 out of 10: the engines can find it, but they do not have much to hold on to.
The site does the on-page work well, with structured data on the page (WebSite, WebPage, Organization), an llms.txt file for AI models, a sitemap.
Our monitoring has logged 4 AI crawler visits here: the engines come, the question is what they find.
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
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.
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 5.5/10, Decentriq has a working base to build on - fixable, and the signals above are where to start.
What is a data clean room solution?
A data clean room is a secure environment where multiple organizations can collaborate on sensitive data without compromising privacy. Decentriq's data clean room solution leverages technologies such as confidential computing and Homomorphic encryption to ensure that data remains encrypted and inaccessible during processing, allowing for compliant and secure data collaboration across various industries.
What is the difference between the Data Clean Room and the Collaborative Audience Platform?
Decentriq’s Data Clean Room is built for secure, privacy-first data collaboration. Organizations use it to analyze and combine sensitive datasets across company boundaries — without exposing raw data — for use cases like measurement, attribution, enrichment, and joint analytics.The Collaborative Audience Platform (CAP) builds on the same clean-room-native foundations to support ongoing audience use cases.
Do I need to be a data scientist to use Decentriq?
No. Decentriq is designed to be accessible for all types of users. Our no-code interface enables business users to unlock insights without writing a single line of code. On the other hand, data scientists can fully leverage the capabilities of our platform by using familiar tools like Python and R within the custom collaborations part of our platform.
Does Decentriq enable secure data sharing?
Decentriq lets organizations collaborate on sensitive data without exposing it — a concept we call “sharing without sharing.” Using advanced technologies like confidential computing, our platform allows multiple parties to run joint analyses while ensuring that the underlying data never leaves the control of its owner.
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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 August 10, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/decentriq
Cite this score: Engagemii (2026). "AEO Score for Decentriq." Retrieved from https://engagemii.com/aeo/brands/decentriq
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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