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storyboard.com
SUMMER 2017

storyboard.com

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

49/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Internal Linking Structure, Fact & Data Density, and Canonical URL Strategy. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#5968of 13363
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How to Improve

Current
49/100
Projected
80/100
39Total Fixes
10Quick Wins
~82hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseIncrease content depth and structureImprove citation-ready writing quality
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Create complete sitemap.xml
low|low
Improve server response efficiency
medium|low
Reduce document weight
low|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.

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

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.

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

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

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

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.

Fix It With AI41

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Site Pages

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storyboard.com/transcription-translation-policyF35
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storyboard.com/ai-workersF36
AI Workers| Automate Driver Updates & Reduce Manual Work
Changes since v1Last audited 52 days ago
50
49
-1
View full comparison →
Focus Content on Core TopicsIncrease Content DepthImprove Question-Answer AlignmentAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionAdd Direct Answer ParagraphsPackage Evidence for AIRestructure Content as Q&AAdd Content Freshness SignalsAdd Entity Disambiguation

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