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capture.so
WINTER 2019

capture.so

Weak AI visibility with 21 of 48 criteria passing. Biggest gap: llms.txt file.

41/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
6/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
2/10

Verdict

Critical AEO gaps at 41/100 - capture.so is largely invisible to AI engines. Key strengths include Cross-Page Duplicate Content, Page Speed: Page Size, and Q&A Content Format. Priority gaps: llms.txt File, Schema.org Structured Data, and Sitemap Completeness. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#9812of 13363
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How to Improve

Current
41/100
Projected
76/100
43Total Fixes
10Quick Wins
~105hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersAdd definition-style contentAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseImprove citation-ready writing qualityAdd answer-first content placement
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Reduce render-blocking resources
low|low
Improve server response efficiency
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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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.

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%.

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.

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.

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.

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

Fix It With AI46

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