lendingclub.com
Moderate AI visibility with 31 of 48 criteria passing. Biggest gap: llms.txt file.
Verdict
Below-average AEO readiness at 60/100 - multiple areas need attention. Key strengths include Q&A Content Format, Table & List Extractability, and Direct Answer Paragraphs. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.
How to Improve
Add a machine-readable llms.txt file at your domain root that describes your site, services, and key pages for AI engines.
Create a comprehensive llms-full.txt with detailed page descriptions, content summaries, and topic taxonomy.
Trim oversized HTML, excessive DOM nodes, and large inline payloads that slow AI crawlers.
Update robots.txt to explicitly allow AI crawlers and include sitemap directive.
Implement hreflang tags and lang attributes so AI engines serve the correct language version when answering queries.
Ensure clean, well-structured HTML with proper meta tags, HTTPS, and parseable content for AI crawlers.
Optimize compression, cache headers, redirect chains, and HTML payload size for faster AI crawler access.
Minimize blocking scripts and stylesheets in <head> to improve content availability for AI crawlers.
Generate a comprehensive sitemap with lastmod dates for all important pages.
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.
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.
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.
Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.
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.
Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.
Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.
Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.
Add a /llms.txt file that describes your site, core services, and key pages in markdown format. This helps AI engines like ChatGPT and Claude understand your site structure and content offerings.
Add Person schema for content authors with credentials, expertise, and sameAs links. Expert attribution strengthens E-E-A-T signals that AI engines use to evaluate source credibility.
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Score Breakdown
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Guides for the criteria with the most room for improvement