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s2.dev
FALL 2025

s2.dev

Moderate AI visibility with 38 of 48 criteria passing. Biggest gap: comprehensive faq section.

Developer Tools & InfrastructureDeveloper Platforms
52/100
4 since v1
D
Citation Avg
Coherence gate active - score capped at 55
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
7/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 52/100 - multiple areas need attention. Key strengths include llms.txt File, Semantic HTML5 & Accessibility, and Content Freshness Signals. Priority gaps: Comprehensive FAQ Section, RSS/Atom Feed, and Content Licensing & AI Permissions. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.

How to Improve

Current
52/100
Projected
81/100
37Total Fixes
9Quick Wins
~57hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingImprove query-answer alignmentFocus blog content on core expertiseAdd first-hand experience signalsReduce 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
Add internationalization signals
critical|medium
Reduce render-blocking resources
low|low
Create complete sitemap.xml
low|low
Improve server response efficiency
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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Site Pages

s2.dev/docs/introF34
Introduction - S2
Changes since v1Last audited 70 days ago
56
52
-4
View full comparison →
Focus Content on Core TopicsAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionIncrease Entity DensityIncrease Content DepthFix Duplicate Content BlocksRestructure Content as Q&AAdd First-Hand Experience SignalsStrengthen Entity Authority (NAP)Add Answer-First Placement

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