AI Visibility Scorecard
consequencedesign.com · Technology
Borderline visible. AI bots can crawl Consequence Design, 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 4 times
Claude · Meta AI
#2,120,373 of 2,707,329 in Technology for AI visibility
71
AI Naming Predictability
iLikely to be named · 71/100
4
AEO Visibility
iNear-invisible · 3.5/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"Consequence Design A field guide to systemic effects, hidden logics, and institutional erosion in mediated life." That is how Consequence Design introduces itself. When AI engines look at it, they find little to work with. It scores 3.5 out of 10.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
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.
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 actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 3.5/10, Consequence Design is crawlable but under-signaled - fixable, and the signals above are where to start.
What is Consequence Design?
Consequence Design is a framework for examining how technology affects real lives post-deployment. It focuses on the tangible impacts of platforms and tools—the harm they produce once released into the world and how those harms ripple through communities and systems. This isn't about theoretical ethics or design aesthetics.
Is this your brand?
The exact fixes for Consequence Design
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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 7, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/consequencedesign
Cite this score: Engagemii (2026). "AEO Score for Consequence Design." Retrieved from https://engagemii.com/aeo/brands/consequencedesign
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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