alchemy.com — AI Search Visibility Report
Overall score: 78/100
AI search visibility analysis for alchemy.com. LLMao scored alchemy.com 78/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — High clarity and professional tone. Technical jargon is generally well-contextualized within the developer platform niche.
- schema_markup: 70/100 — Core Organization and WebSite schemas are present and valid, but missing content-specific schemas like FAQ or Service.
- authority_trust: 75/100 — Strong social proof with major brand logos and case studies, but lacks explicit editorial standards and visible publication dates for news items.
- citation_sources: 60/100 — Good internal linking and claim verification through case studies, but lacks external citations to primary blockchain research or whitepapers.
- content_freshness: 65/100 — Content mentions 2026 events (CNBC interview), but lacks machine-readable dateModified schema or visible 'last updated' timestamps.
- content_structure: 95/100 — Excellent use of H1-H3 hierarchy and semantic HTML sections. Content is logically organized for both humans and LLMs.
- entity_definition: 90/100 — Clear brand identity and dedicated about page. Organization schema is well-implemented.
- technical_accessibility: 90/100 — Excellent meta descriptions and social meta tags. Content is highly accessible.
Top recommendations
- Implement Visible Modification Dates (Content Freshness): Add explicit 'Last Updated' dates to the homepage and technical documentation to signal content recency to LLM crawlers.
- Establish Editorial Transparency (Authority & Trust Signals): Add a dedicated 'Editorial Standards' or 'Review Process' page to strengthen E-E-A-T signals for technical content.
- Expand Content-Specific Schema (Schema.org Markup): Implement FAQPage schema for the common questions addressed in the 'Solutions' and 'Developers' sections.
- Increase Primary Source Citations (Citation & Source Quality): Include more outbound links to primary technical documentation (e.g., Ethereum.org, Solana docs) when referencing specific chain capabilities.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow AI-specific crawlers (GPTBot, ClaudeBot) in robots.txt to ensure optimal indexing by LLMs.