tudigo.co — AI Search Visibility Report
Overall score: 68/100
AI search visibility analysis for tudigo.co. LLMao scored tudigo.co 68/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — Financial concepts are explained clearly, though some sentences are long. Target audience is well-served.
- schema_markup: 0/100 — No JSON-LD blocks found in the provided HTML. This is a major missed opportunity for LLM SEO.
- authority_trust: 70/100 — Strong regulatory transparency (AMF PSFP) but weak individual author attribution.
- citation_sources: 80/100 — Good use of external regulatory sources (AMF, service-public.fr) to back financial claims.
- content_freshness: 75/100 — Content is current for 2026, but lacks specific 'last modified' timestamps in metadata.
- content_structure: 55/100 — Heavy use of Framer results in non-standard heading usage (skipping levels) and excessive H6 tags.
- entity_definition: 60/100 — Brand identity is clear, but lacks Organization schema to anchor the entity in LLM knowledge graphs.
- technical_accessibility: 75/100 — Good meta descriptions and social tags, but no specific AI crawler directives.
Top recommendations
- Add Structured Data (JSON-LD) (Schema Markup): Implement comprehensive JSON-LD schema including Organization, FAQPage, and InvestmentProduct schemas. Currently, the site lacks structured data that LLMs use to build knowledge graphs.
- Enhance Author E-E-A-T Signals (Authority & Trust): Create dedicated author pages for investment analysts and leadership with Person schema and links to professional credentials (LinkedIn, certifications).
- Optimize Heading Hierarchy (Content Structure): Fix the heading hierarchy. The page uses H5 and H6 tags for primary content sections while skipping H2 and H3 levels in several areas. Use a logical H1-H2-H3 flow.
- Explicitly Allow AI Crawlers (Technical Accessibility): Update robots.txt to explicitly allow AI crawlers like GPTBot, ClaudeBot, and PerplexityBot to ensure full indexing for LLM training and RAG.
- Formalize Fact-Checking Citations (Citation Quality): While external sources are mentioned (AMF, France Invest), use formal inline citations or a reference section to make these claims more 'verifiable' for LLM fact-checking algorithms.