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kastle.ai
SUMMER 2024

kastle.ai

Weak AI visibility with 20 of 48 criteria passing. Biggest gap: llms.txt file.

Finance & PaymentsCorporate Finance Platforms
33/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
2/10
Trust & Authority
~15% weight
1/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 33/100 - kastle.ai is largely invisible to AI engines. Key strengths include Canonical URL Strategy, Duplicate Content Blocks, and Page Speed: Load Blockers. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#21715of 26585
#1187of 1391 in Finance & Payments
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How to Improve

Current
33/100
Projected
73/100
42Total Fixes
14Quick Wins
~104hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersCreate complete sitemap.xmlAdd ai.txt and content licensingImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterAdd first-hand experience signalsImprove citation-ready writing qualityAdd image context for AI enginesEliminate cross-page duplicate contentImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
high|trivial
Create complete sitemap.xml
high|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce document weight
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.

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.

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.

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.

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.

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

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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Site Pages

www.kastle.aiF31
Kastle - AI agents for consumer lending

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