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narratordata.com
SUMMER 2019

narratordata.com

Weak AI visibility with 25 of 48 criteria passing. Biggest gap: llms.txt file.

49/100
1 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Sitemap Completeness, Fact & Data Density, and Content Cannibalization. Priority gaps: llms.txt File, Comprehensive FAQ Section, and Content Licensing & AI Permissions.

#5833of 13363
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How to Improve

Current
49/100
Projected
80/100
38Total Fixes
15Quick Wins
~67hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersAdd content freshness signalsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsMake content creators clearly visibleImprove citation-ready writing qualityPackage evidence for AI enginesClarify entity boundariesReduce extraction friction
Fix HTML structure and meta tags
high|low
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
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.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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

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.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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Site Pages

Changes since v1Last audited 52 days ago
50
49
-1
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Increase Content DepthAdd Original Data & Case StudiesIncrease Entity DensityRestructure Content as Q&AAdd Structured Tables & ListsAdd Answer Capsule PatternsBuild Comprehensive FAQ SectionAdd Direct Answer ParagraphsAdd Owned Data SignalsImprove Internal Linking Architecture

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