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cobbery.com
SUMMER 2022

cobbery.com

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
45/100
22 since v1
D
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 45/100 - cobbery.com is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Content Cannibalization, and Answer-First Placement. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

How to Improve

Current
45/100
Projected
78/100
39Total Fixes
11Quick Wins
~94hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationAdd direct answer paragraphsAdd ai.txt and content licensingIncrease fact and data densityImprove query-answer alignmentAdd visible date signalsIncrease content depth and structureExplain how content was tested or reviewed
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Create complete sitemap.xml
critical|medium
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low

Top Opportunities10

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.

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 specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

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.

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

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

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.

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

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Fix It With AI40

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Site Pages

cobbery.com/termsF31
Terms of Service | Cobbery
cobbery.com/privacyF37
Privacy Policy | Cobbery
cobbery.comD41
Cobbery
cobbery.com/faqD41
Cobbery
cobbery.com/aboutD41
Cobbery
cobbery.com/pricingD41
Cobbery
cobbery.com/servicesD41
Cobbery
cobbery.com/contactD41
Cobbery
cobbery.com/teamD41
Cobbery
cobbery.com/resourcesD41
Cobbery
cobbery.com/docsD41
Cobbery
cobbery.com/case-studiesD41
Cobbery
cobbery.com/matter-privacyF36
Matter Privacy | Cobbery
Changes since v1Last audited 76 days ago
23
45
+22
View full comparison →
Add Structured Tables & ListsAdd Original Data & Case StudiesIncrease Fact & Data DensityIncrease Content DepthRestructure Content as Q&AIncrease Entity DensityPackage Evidence for AIImprove Internal Linking ArchitectureAdd Direct Answer ParagraphsStrengthen Entity Authority (NAP)

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