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aragorn.ai

aragorn.ai

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
59/100
7 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 59/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Clean, Crawlable HTML, and Original Data & Expert Analysis. Priority gaps: llms.txt File, RSS/Atom Feed, and Speakable Schema.

How to Improve

Current
59/100
Projected
80/100
39Total Fixes
9Quick Wins
~89hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsMake pages solve the user task fasterReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Improve server response efficiency
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.

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.

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.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

The same paragraphs appear on multiple pages. AI engines may only index one version and ignore the rest. Rewrite shared content so each page offers a unique perspective.

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.

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Site Pages

www.aragorn.ai/articlesF34
Aragorn Articles
Changes since v1Last audited 76 days ago
52
59
+7
View full comparison →
Increase Content DepthAdd Direct Answer ParagraphsAdd Owned Data SignalsIncrease Fact & Data DensityPackage Evidence for AIRestructure Content as Q&AAdd Answer Capsule PatternsAdd First-Hand Experience SignalsEliminate Cross-Page Duplicate ContentImprove Citation-Ready Writing

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