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Lambda Land

Lambda Land

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AEO Score: 5/10

Monitoring for AI engine activity

In the Engagemii AEO index

lambdaland.org

About Lambda Land

Ashton Wiersdorf # I am a PhD student at the University of Utah where I started in August 2022. My advisor is Ben Greenman. I graduated with my bachelor’s degree in computer science from Brigham Young University in April 2022. I am interested in researching and designing better programming languages. Programming languages are our interface to computation, and different programming languages shape how we think about solving problems with computation. My current work focuses on choreographic programming: in choreographic programming, you describe interactions in a distributed system from a bird’s-eye view, and then a choreography compiler produces code for each actor in that system that is deadlock-free by construction. Other areas of interest include metaprogramming, type systems,

Key Topics

Ashton Wiersdorf #

Details

Category: Technology

lambdaland.org

AI Visibility Breakdown

1

Structured Data

8

Content Structure

5

Entity Clarity

4

E-E-A-T Signals

7

Technical AEO

4

AI Discoverability

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Picked for Lambda Land: Tech & Electronics

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Source & Attribution

Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/lambdaland-org

Cite this score: Engagemii (2026). "AEO Score for Lambda Land." Retrieved from https://engagemii.com/aeo/brands/lambdaland-org

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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