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cobalt.pe

cobalt.pe

Moderate AI visibility with 33 of 48 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureAI & ML Platforms
58/100
1 since v1
D
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
7/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
6/10

Verdict

Below-average AEO readiness at 58/100 - multiple areas need attention. Key strengths include Internal Linking Structure, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Speakable Schema, and Query-Answer Alignment.

How to Improve

Current
58/100
Projected
84/100
35Total Fixes
8Quick Wins
~67hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd ai.txt and content licensingIncrease content depth and structureImprove citation-ready writing qualityPackage evidence for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
medium|low
Reduce document weight
low|low

Top Opportunities10

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

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.

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.

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.

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

Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

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

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Site Pages

www.cobalt.pe/subscription-termsF38
Terms of Service | Cobalt, a FactSet Company
www.cobalt.pe/eu-privacy-policyD47
EU Privacy Policy Copy | Cobalt, a FactSet Company
www.cobalt.pe/portfolio-monitoringD44
Leading PE and VC Portfolio Monitoring Technology | Cobalt, a FactSet Company
www.cobalt.pe/blogD46
Blog: Private Capital Tech and Data Management | Cobalt, a FactSet Company
www.cobalt.pe/newsD40
News and Announcements| Cobalt, a FactSet Company
Changes since v1Last audited 76 days ago
59
58
-1
View full comparison →
Improve Question-Answer AlignmentIncrease Content DepthAdd Structured Tables & ListsRestructure Content as Q&AAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionPackage Evidence for AIAdd First-Hand Experience SignalsImprove Citation-Ready WritingStrengthen Entity Authority (NAP)

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