AI VISIBILITY SCOREAS OF 2026-08-01 · ENGAGEMII INDEX
4.2/ 10

▼ 0.8 since Jun 2026

#1,686,680 OF 2,702,905 IN TECHNOLOGY

SCORED BY THE SAME PIPELINE AS 54M+ COMPANIES · SIX ON-PAGE SIGNALS + OFF-PAGE AUTHORITYCHECK ANOTHER SITE →THE INDEX →

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AI Visibility Scorecard

TechieCode

TechieCode

Unclaimed

techiecode.ai · Technology

Borderline visible. AI bots can crawl TechieCode, 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 2 times

Apple Intelligence · Claude

#1,686,680 of 2,702,905 in Technology for AI visibility

4

AEO Visibility

i

Borderline · 4.2/10

30

Muse Index Score

i

AI agent readiness

Basic · 30/100

14

AI Adoption

i

Basic · 14/100

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About TechieCode

from our crawl and measurement

TechieCode describes itself simply: "AI interview coaching, courses, and mock interviews for the North American market. 1-on-1 mentorship from FAANG engineers for ML, LLM & AI roles at top tech companies." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.2 out of 10.

On the page itself the strengths are clear: a clear heading structure and crawler access and the files AI engines look for. It is passable on some structured data, a partly stated business identity and partial sitemap and link coverage. What holds it back is credibility markers like credentials or reviews.

Off the page there is only faint evidence that only a handful of sites link to it. Beyond that, the domain does not yet read as established, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.

The site links to no social profiles, so there is nothing tying the brand to a wider presence.

Industry · Technology
Last scored · Aug 1, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Good

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Good

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.

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

Weak

No community discussion yet.

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 4.2/10, TechieCode is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

1. What does a case study interview assess?

Case interviews in data science vary widely in scope. For Data Analyst roles, these focus on statistical theory, A/B test design, SQL and product sense. For Data Scientist or ML Engineer roles, they cover ML model deep dive and end-to-end workflow design. 1.

Why TechieCode?

AI-powered practice sessions, expert mentorship from FAANG engineers, and a supportive community to help you land your dream role in AI and Machine Learning. © 2026 TechieCode. All rights reserved. Terms | Privacy

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Picked for TechieCode: How-To

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 1, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/techiecode-ai

Cite this score: Engagemii (2026). "AEO Score for TechieCode." Retrieved from https://engagemii.com/aeo/brands/techiecode-ai

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

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