chase.com — AI Search Visibility Report
Overall score: 75/100
AI search visibility analysis for chase.com. LLMao scored chase.com 75/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — Content is clear and professional, though some financial jargon is present without immediate definitions.
- schema_markup: 20/100 — No JSON-LD blocks found in the provided HTML. Relies on standard meta tags.
- authority_trust: 80/100 — Strong trust signals through contact info and legal pages, but lacks clear publication/review dates on the homepage.
- citation_sources: 40/100 — Claims are generally unsubstantiated by external primary sources or inline citations on the homepage.
- content_freshness: 70/100 — Copyright and promotional images are current (2026), but specific 'last modified' metadata is missing.
- content_structure: 90/100 — Excellent use of H1-H3 hierarchy and semantic sections. Clear organization of financial products.
- entity_definition: 75/100 — Brand consistency is high, but lacks a dedicated About section with Organization schema on the analyzed page.
- technical_accessibility: 90/100 — Strong meta descriptions and social meta tags present. Content is accessible.
Top recommendations
- Implement Structured Data (JSON-LD) (Schema Markup): Implement comprehensive JSON-LD schema for Organization, FinancialProduct, and FAQPage. Currently, the site relies on basic metadata which is less effective for LLM entity extraction.
- Enhance Content Freshness Signals (Authority & Trust): Add explicit 'Last Updated' or 'Reviewed on' dates to product pages and educational content to signal freshness to LLMs.
- Strengthen Entity Relationships (Entity Definition): Create or optimize a dedicated 'About' page that clearly defines the relationship between Chase and J.P. Morgan using Organization schema.
- Optimize AI Crawler Access (Technical Accessibility): Ensure robots.txt explicitly allows AI crawlers like GPTBot and ClaudeBot to ensure full indexing of educational resources.
- Improve Fact Verification Signals (Citation & Source Quality): Include more outbound links to regulatory bodies (FDIC, CFPB) or primary financial data sources to verify claims.