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eva.xyz

eva.xyz

Weak AI visibility with 23 of 48 criteria passing. Biggest gap: comprehensive faq section.

Developer Tools & InfrastructureCloud Infrastructure
49/100
F
Citation Avg
Coherence gate active - score capped at 55
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include llms.txt File, Internal Linking Structure, and RSS/Atom Feed. Priority gaps: Comprehensive FAQ Section, Speakable Schema, and Entity Disambiguation. Topic coherence is 4/10, which caps the overall score at 55. Focusing content on core expertise areas is the single highest-impact improvement.

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How to Improve

Current
49/100
Projected
80/100
37Total Fixes
15Quick Wins
~72hEst. Effort
Quick Wins
Configure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd content freshness signalsAdd structured tables and listsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterMake content creators clearly visibleAdd answer-first content placementPackage evidence for AI enginesReduce extraction friction
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Reduce render-blocking resources
critical|medium
Reduce document weight
critical|medium
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low

Top Opportunities10

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.

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.

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.

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

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.

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.

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.

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Site Pages

eva.xyz/blogF34
Blog - EVA
eva.xyz/services/healthcareF35
Healthcare - EVA
eva.xyz/eva-and-rdmc-announce-their-partnership-to-build-...F38
EVA and RDMC Announce their partnership to build-up the cybersecurity of the Low Altitude Economy - EVA
eva.xyz/services/dshD41
Drone Super Highways - EVA

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