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cmux.dev
SUMMER 2024

cmux.dev

Moderate AI visibility with 28 of 48 criteria passing. Biggest gap: rss/atom feed.

51/100
1 since v1
D
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Semantic HTML5 & Accessibility, and Duplicate Content Blocks. Priority gaps: RSS/Atom Feed, Speakable Schema, and Content Depth.

#4499of 13363
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How to Improve

Current
51/100
Projected
80/100
41Total Fixes
7Quick Wins
~94hEst. Effort
Quick Wins
Configure robots.txt for AI crawlersAdd direct answer paragraphsAdd ai.txt and content licensingIncrease fact and data densityImprove query-answer alignmentMake pages solve the user task fasterReduce extraction friction
Configure robots.txt for AI crawlers
high|trivial
Reduce document weight
medium|low
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Create complete sitemap.xml
low|low
Fix canonical URL strategy
medium|trivial
Add internationalization signals
low|low
Reduce render-blocking resources
low|low

Top Opportunities10

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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Site Pages

cmux.com/no/blog/show-hn-launchD40
Lansering av cmux på Show HN — cmux blog
Changes since v1Last audited 52 days ago
50
51
+1
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Increase Content DepthIncrease Fact & Data DensityAdd Original Data & Case StudiesRestructure Content as Q&AAdd Structured Tables & ListsAdd Direct Answer ParagraphsAdd Owned Data SignalsImprove Citation-Ready WritingBuild Comprehensive FAQ SectionImprove Question-Answer Alignment

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