Using AI Agents, Building Systems, and Engineering Leadership | WhatWorked.io
https://www.whatworked.io/ AI summary
# AEO Audit Summary
WhatWorked.io is a personal blog where the author shares practical insights about AI agents, engineering leadership, and software systems based on real-world experience. The single biggest AEO weakness is the complete absence of byline/author information on the homepage—LLMs cannot attribute or cite content without knowing who wrote it, and adding a clear author name, credentials, and publication dates in the header would dramatically improve citability across all articles.
Live AI Citation Test
Real prompts run against Claude. Is Using AI Agents, Building Systems, and Engineering Leadership being cited?
| Prompt | Claude |
|---|---|
| "What is Using AI Agents, Building Systems, and Engineering Leadership?" | |
| "Best alternatives to Using AI Agents, Building Systems, and Engineering Leadership" | |
| "Is Using AI Agents, Building Systems, and Engineering Leadership worth it?" | |
| "How to build scalable software systems effectively" | |
| "Best practices for engineering leadership and team management" |
AEO Content
Only 13 words before the first subheading — too thin for AI to extract a self-contained answer.
Good structure: 1 H1, 20 H2s, 0 H3s.
2 of 20 headings are in question form (10%). — LLMs rarely cite pages with no question-format headings.
Found schema types: WebSite.
Found 45 specific facts (numbers, dollar amounts, years, percentages) across 530 words.
Page is 530 words across 20 subsections.
AI Bot Access
GPTBot is allowed to crawl.
ClaudeBot is allowed to crawl.
PerplexityBot is allowed to crawl.
llms.txt detected — you provide AI-friendly site navigation.
Schema Completeness
No Organization schema detected.
Not applicable for homepage pages — Article schema is for editorial content only.
Not applicable for homepage — it is the root of the hierarchy.
Not applicable for homepage pages — Author/Person schema is for editorial content.
Technical Foundation
Title is 77 characters: "Using AI Agents, Building Systems, and Engineering Leadership | WhatWorked.io"
Meta description is 124 characters.
3 of 3 core Open Graph tags (og:title, og:description, og:image) present.
Canonical URL matches page URL.
Responsive viewport meta tag present.
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