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vir.bio

vir.bio

Moderate AI visibility with 23 of 48 criteria passing. Biggest gap: llms.txt file.

Biotech & PharmaceuticalsBiotechnology
50/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 50/100 - multiple areas need attention. Key strengths include Topic Coherence, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and Sitemap Completeness.

How to Improve

Current
50/100
Projected
80/100
41Total Fixes
9Quick Wins
~97hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsIncrease content depth and structureImprove citation-ready writing qualityPackage evidence for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Add internationalization signals
critical|medium
Fix canonical URL strategy
high|trivial
Reduce render-blocking resources
medium|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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

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.

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.

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.

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

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.

Fix It With AI43

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Site Pages

www.vir.bio/pipeline/focusF39
Our Therapeutic Focus | Vir Biotechnology
www.vir.bio/about/stories/breaking-the-silence-for-changeF36
Stories: Breaking the Silence for Change | Vir Biotechnology
www.vir.bio/about/stories/moving-together-to-create-impactF35
Moving together to create impact | Vir Biotechnology
www.vir.bio/pipelineF34
Our Development Pipeline | Vir Biotechnology

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