AI Visibility Scorecard
Tiny TPU
tinytpu.com · Technology
Somewhat visible. AI bots can read Tiny TPU, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Meta AI · Claude
#464,424 of 2,705,606 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.4/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
6
AI Adoption
iBasic · 6/100
About Tiny TPU
from our crawl and measurement
Tiny TPU describes itself simply: "An attempt to understand and build a TPU, by complete novices." Its AI visibility score is 5.4 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
The 6 signals AI reads
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
Strong
Sitemaps and entity links AI can follow.
Off-page authority
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
Good
Forum and community discussion.
Social Mentions
Weak
No social discussion found yet.
What this score means
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 5.4/10, Tiny TPU has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
Why did we start this project?
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to.
What is a TPU?
A TPU is an application specific integrated circuit (ASIC) - basically a custom chip - designed by Google to make inferencing (using) and training ML models faster and more efficient. Whereas a GPU can be used to render frames AND run ML workloads, a TPU can only perform math operations, allowing it to be better at what it's designed for.
How did we develop our "toy" TPU?
When we started this project, all we knew was that the equation y = mx + b is the foundational building block for neural networks. However, we needed to fully UNDERSTAND the math behind neural networks to build other modules in our TPU.
Is this your brand?
The exact fixes for Tiny TPU
Which AI engines already crawl you
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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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Source & Attribution
Scored by Engagemii on August 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/tinytpu
Cite this score: Engagemii (2026). "AEO Score for Tiny TPU." Retrieved from https://engagemii.com/aeo/brands/tinytpu
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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