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rad.live

rad.live

Weak AI visibility with 20 of 48 criteria passing. Biggest gap: q&a content format.

Developer Tools & InfrastructureCloud Infrastructure
38/100
4 since v1
F
Citation Avg
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
6/10

Verdict

Critical AEO gaps at 38/100 - rad.live is largely invisible to AI engines. Key strengths include llms.txt File, Sitemap Completeness, and Fact & Data Density. Priority gaps: Q&A Content Format, Comprehensive FAQ Section, and RSS/Atom Feed.

How to Improve

Current
38/100
Projected
74/100
39Total Fixes
10Quick Wins
~102hEst. Effort
Quick Wins
Fix HTML structure and meta tagsConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseImprove citation-ready writing qualityReduce extraction friction
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Reduce document weight
low|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

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 concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

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.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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.

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

rad.live/content/series/threads-HR4CW5F37
Threads | Rad TV
rad.live/contactF31
Contact Us | Rad TV - Get Support & Connect With Our Team | Rad TV
rad.liveF32
AI Video Upscaling & Creator Monetization Platform | Rad TV
rad.live/discoverF32
Rad TV | Discover | Rad TV
Changes since v1Last audited 70 days ago
34
38
+4
View full comparison →
Increase Content DepthAdd Original Data & Case StudiesAdd Structured Tables & ListsRestructure Content as Q&AAdd Direct Answer ParagraphsAdd Answer Capsule PatternsAdd Answer-First PlacementBuild Comprehensive FAQ SectionAdd Owned Data SignalsPackage Evidence for AI

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