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fyodorbio.com

fyodorbio.com

Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.

47/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Fact & Data Density, Content Cannibalization, and Duplicate Content Blocks. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#6848of 13363
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How to Improve

Current
47/100
Projected
79/100
42Total Fixes
14Quick Wins
~95hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd direct answer paragraphsAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseMake content creators clearly visibleAdd answer-first content placementReduce document weight
Fix HTML structure and meta tags
high|low
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce render-blocking resources
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce document weight
high|low
Create complete sitemap.xml
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.

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.

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.

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

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Fix It With AI42

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Site Pages

fyodorbio.com/terms-of-useF34
Terms of Use - Fyodor
fyodorbio.com/teamF34
Team - Fyodor
fyodorbio.com/faqF39
FAQ - Fyodor
fyodorbio.comF31
Home - Fyodor
fyodorbio.com/contactF34
Contact - Fyodor

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