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sanova.at

sanova.at

Moderate AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

Biotech & PharmaceuticalsPharmaceuticals
50/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 50/100 - multiple areas need attention. Key strengths include Sitemap Completeness, Canonical URL Strategy, and Content Publishing Velocity. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.

How to Improve

Current
50/100
Projected
82/100
38Total Fixes
12Quick Wins
~74hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaImplement semantic HTML5 elementsAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingAdd visible date signalsIncrease content depth and structureMake pages solve the user task fasterReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Reduce render-blocking resources
high|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|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 inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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.

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 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.

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 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.

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Site Pages

sanova.at/enD41
About Sanova | SANOVA®
Changes since v1Last audited 46 days ago
49
50
+1
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthPackage Evidence for AIAdd Direct Answer ParagraphsAdd Owned Data SignalsAdd Structured Tables & ListsAdd Answer Capsule PatternsImprove Citation-Ready WritingRestructure Content as Q&AAdd First-Hand Experience Signals

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