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rejot.dev
WINTER 2025

rejot.dev

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
44/100
6 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 44/100 - rejot.dev is largely invisible to AI engines. Key strengths include Semantic HTML5 & Accessibility, Content Cannibalization, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

How to Improve

Current
44/100
Projected
80/100
37Total Fixes
11Quick Wins
~63hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd content freshness signalsAdd definition-style contentAdd ai.txt and content licensingExtend schema to inner pagesImprove query-answer alignmentFocus blog content on core expertisePackage evidence for AI enginesReduce extraction friction
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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

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

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.

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

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.

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

Fix It With AI41

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Site Pages

rejot.dev/use-casesF38
Use Cases | ReJot
rejot.dev/productF31
Product | ReJot
rejot.dev/case-studies/lendingF36
Lending Case Study | ReJot
Changes since v1Last audited 70 days ago
50
44
-6
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthIncrease Fact & Data DensityAdd Direct Answer ParagraphsImprove Question-Answer AlignmentAdd Structured Tables & ListsFocus Content on Core TopicsBuild Comprehensive FAQ SectionAdd Owned Data SignalsRestructure Content as Q&A

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