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minusx.ai
SUMMER 2024

minusx.ai

Moderate AI visibility with 27 of 48 criteria passing. Biggest gap: schema.org structured data.

Developer Tools & InfrastructureAI & ML Platforms
51/100
5 since v1
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
5/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 51/100 - multiple areas need attention. Key strengths include llms.txt File, Fact & Data Density, and Canonical URL Strategy. Priority gaps: Schema.org Structured Data, Comprehensive FAQ Section, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
51/100
Projected
78/100
39Total Fixes
10Quick Wins
~78hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsIncrease content depth and structureImprove citation-ready writing qualityPackage evidence for AI engines
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Reduce document weight
medium|low
Create complete sitemap.xml
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
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 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.

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.

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.

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

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

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Site Pages

minusx.ai/playgroundF30
Minusx | Playground
minusx.ai/monitoring-dashboardsD40
Minusx | AI Agents for Dashboard Monitoring
minusx.ai/metabase-aiF39
Minusx | Metabase AI - AI Data Engineer + Analyst Chrome Extension
Changes since v1Last audited 76 days ago
46
51
+5
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthFocus Content on Core TopicsBuild Comprehensive FAQ SectionAdd Owned Data SignalsAdd Answer Capsule PatternsImprove Question-Answer AlignmentRestructure Content as Q&AAdd Schema.org Structured DataPackage Evidence for AI

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