AI Visibility Scorecard
hackwrite.com · Other
Borderline visible. AI bots can crawl hack.write(), 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 1 times
Claude
5
AEO Visibility
iBorderline · 4.6/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
2
AI Adoption
iBasic · 2/100
from our crawl and measurement
"Skip to main content hack.write() Archive Tags RSS feed Repo Learn About Python Decorators by Writing a Function Dispatcher Adam Michael Wood 2018-09-07 18:39 Comments Python decorators." That is how hack.write() introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.6 out of 10.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
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
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
Strong
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 4.6/10, hack.write() is crawlable but under-signaled - fixable, and the signals above are where to start.
Where to Go From Here¶?
The quick functional implementation demonstrated here doesn't include all the things that the OO approach currently has. Foremost, this version needs to include modulo arithmetic. In [37]: augment((7,11),(1,1)) # Should be (0,0), in musical logic. Out[37]: (8, 12) In [38]: # This result is meaningless.
What if we went deeper?
Once you realize this is a good idea, the next thing you realize is....
Why would you ever do this?
The generalized problem From a pool of items, there are three attributes to select for. Specifying any two of them should produce one and only one result. More specifically... Musical intervals. A musical interval has: a quality (Major, Minor, Perfect, Augment, or Diminished) a number (Unison (1), Second (2), Third (3) ...
So... what's the point?
This post looks like a tutorial on list comprehension. Or maybe set operations. But really this post is about problem solving while writing code. The code solution to this problem is really easy... but only if you've figured out the problem you need to solve. I started with the following problem: Find the intersection of all non-empty sets, from an arbitrary pool of sets, not knowing which ones would be empty.
Is this your brand?
The exact fixes for hack.write()
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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 20, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/hackwrite
Cite this score: Engagemii (2026). "AEO Score for hack.write()." Retrieved from https://engagemii.com/aeo/brands/hackwrite
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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