thegraph.com — AI Search Visibility Report
Overall score: 75/100
AI search visibility analysis for thegraph.com. LLMao scored thegraph.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: 90/100 — High clarity and good use of jargon definitions (e.g., explaining subgraphs). Sentence length is optimal.
- schema_markup: 0/100 — No JSON-LD blocks were detected in the provided HTML snippet, which is a significant missed opportunity for LLM SEO.
- authority_trust: 65/100 — Strong social proof with 1.27T queries and 75k projects, but lacks visible publication dates and clear trust pages on the homepage.
- citation_sources: 60/100 — Claims are technically specific but lack direct outbound citations to primary sources or external verification.
- content_freshness: 50/100 — Content mentions 2026 context (Amp) but lacks explicit date metadata or 'last updated' signals.
- content_structure: 85/100 — Excellent use of H1-H3 hierarchy and clear sectioning. Semantic HTML is present but could be more robust.
- entity_definition: 70/100 — Brand consistency is high, but lacks a dedicated About page and Person schema for authors.
- technical_accessibility: 95/100 — Excellent meta descriptions and social meta tags. Content is highly accessible.
Top recommendations
- Add JSON-LD Structured Data (Schema.org Markup): Implement comprehensive JSON-LD schema including Organization, SoftwareApplication, and FAQPage to help LLMs define the entity and its services.
- Surface Content Dates (Authority & Trust Signals): Add visible publication and 'last updated' dates to blog and documentation snippets on the homepage to signal content freshness to LLM crawlers.
- Strengthen Entity Definition (Entity Definition): Create a dedicated 'About' page with a clear mission statement and team/foundation details to strengthen the entity's knowledge graph presence.
- Improve Citation Quality (Citation & Source Quality): Include more outbound links to primary data sources (e.g., Etherscan, official network docs) to verify technical claims.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow LLM-specific crawlers (GPTBot, ClaudeBot) in robots.txt to ensure full indexing of documentation.