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zeabur.com

zeabur.com

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

46/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include Clean, Crawlable HTML, robots.txt for AI Crawlers, and Direct Answer Paragraphs. Priority gaps: llms.txt File, Comprehensive FAQ Section, and RSS/Atom Feed.

#7883of 13363
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How to Improve

Current
46/100
Projected
78/100
40Total Fixes
11Quick Wins
~87hEst. Effort
Quick Wins
Create /llms.txt fileLink orphan pages into site navigationAdd definition-style contentAdd ai.txt and content licensingExtend schema to inner pagesAdd visible date signalsImprove citation-ready writing qualityAdd answer-first content placementPackage evidence for AI enginesReduce extraction frictionFix duplicate content blocks
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
medium|low
Reduce document weight
medium|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Add internationalization signals
low|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.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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

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.

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.

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 "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

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.

Fix It With AI41

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Site Pages

zeabur.com/es-ES/pricingF38
Pricing - Zeabur
zeabur.com/id-ID/pricingF38
Pricing - Zeabur
zeabur.com/docs/en-USF37
Introduction - Zeabur
Changes since v1Last audited 52 days ago
45
46
+1
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthImprove Question-Answer AlignmentRestructure Content as Q&AFocus Content on Core TopicsFix Duplicate Content BlocksBuild Comprehensive FAQ SectionAdd Owned Data SignalsAdd Answer Capsule PatternsIncrease Fact & Data Density

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