AI Visibility Scorecard
alexandercowan.com · Technology
Somewhat visible. AI bots can read Alex Cowan, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 565 times
Meta AI · ChatGPT · Apple Intelligence · Claude
#10,578 of 2,705,505 in Technology for AI visibility
81
6
AEO Visibility
iVisible · 6.1/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"Want to build better products with Hypothesis-Driven Development?." That is how Alex Cowan introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.1 out of 10, readable in places and missing in others.
Our crawl found structured data on the page (WebPage, BreadcrumbList, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 565 times in our tracking, including GPTBot (ChatGPT), ClaudeBot (Anthropic) and Meta AI.
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Good
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
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
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
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 6.1/10, Alex Cowan has a working base to build on - fixable, and the signals above are where to start.
WHAT IS HYPOTHESIS-DRIVEN DEVELOPMENT?
Hypothesis Driven Development (HDD) is an emerging approach to digital product management for both business people and engineers. It emphasizes rigorous, continuous experimentation as a way to both minimize waste and focus teams’ creative capabilities in directions that drive growth. HDD leverages the best of what’s out there in modern practices like design thinking, Lean Startup, agile, and DevOps.
HOW DO YOU GET STARTED WITH HYPOTHESIS-DRIVEN DEVELOPMENT?
READ THE BOOK In this book, Alex Cowan delivers an actionable guide to applying Hypothesis-Driven Development. At the intersection of academic rigor and modern practice, it take the reader through applications from idea to design, design to code, code to release, as well as running experiments across your pipeline.
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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 October 23, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/alexandercowan
Cite this score: Engagemii (2026). "AEO Score for Alex Cowan." Retrieved from https://engagemii.com/aeo/brands/alexandercowan
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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