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sharpe.sh
SUMMER 2024

sharpe.sh

Weak AI visibility with 24 of 48 criteria passing. Biggest gap: q&a content format.

37/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
6/10

Verdict

Critical AEO gaps at 37/100 - sharpe.sh is largely invisible to AI engines. Key strengths include llms.txt File, robots.txt for AI Crawlers, and Canonical URL Strategy. Priority gaps: Q&A Content Format, Content Freshness Signals, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

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How to Improve

Current
37/100
Projected
75/100
40Total Fixes
13Quick Wins
~96hEst. Effort
Quick Wins
Fix HTML structure and meta tagsBuild FAQ sections with schemaLink orphan pages into site navigationImplement semantic HTML5 elementsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterAdd first-hand experience signalsMake content creators clearly visibleExplain how content was tested or reviewedAdd image context for AI engines
Fix HTML structure and meta tags
high|low
Add internationalization signals
critical|medium
Create complete sitemap.xml
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Reduce document weight
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.

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.

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.

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.

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%.

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

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.

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

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.

Fix It With AI43

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Site Pages

sharpe.shF34
Sharpe | AI Research Agent for Quants
sharpe.sh/docsF34
Sharpe | AI Research Agent for Traders
sharpe.sh/aboutF34
About | Sharpe
sharpe.sh/pricingF34
Pricing | Sharpe
sharpe.sh/careersF34
Careers | Sharpe
sharpe.sh/securityF34
Security | Sharpe
sharpe.sh/legalF34
Legal | Sharpe

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