repubblica.it — AI Search Visibility Report
Overall score: 75/100
AI search visibility analysis for repubblica.it. LLMao scored repubblica.it 75/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 75/100 — Professional journalistic tone, though some sentences are long and complex.
- schema_markup: 60/100 — Basic metadata present, but lacks advanced JSON-LD for news entities and authors.
- authority_trust: 75/100 — Strong brand trust and clear contact info, but lacks detailed author credentials on the homepage.
- citation_sources: 60/100 — High internal linking but limited outbound citations to primary data sources.
- content_freshness: 95/100 — Excellent real-time updates with clear timestamps and modified dates.
- content_structure: 70/100 — Good use of semantic HTML, but heading hierarchy is slightly flat.
- entity_definition: 65/100 — Strong brand identity, but individual author entities are not deeply defined on the landing page.
- technical_accessibility: 80/100 — Good meta descriptions and social tags, but AI crawler directives are not explicit.
Top recommendations
- Enhance NewsArticle Schema (Schema Markup): Implement NewsArticle and Person schema for all homepage stories to help LLMs identify authors and specific news entities.
- Strengthen Author Entity Links (Authority & Trust): Add explicit author bios or links to author profiles directly on the homepage snippets to strengthen E-E-A-T.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow AI crawlers like GPTBot and ClaudeBot in robots.txt to ensure full indexing of premium content.
- Fix Heading Hierarchy (Content Structure): Ensure a strict H1-H2-H3 hierarchy; currently, the homepage skips from H1 to multiple H2s without clear thematic nesting.
- Improve Primary Source Attribution (Citation & Source Quality): Increase the use of outbound links to primary sources (government docs, original reports) to improve factual grounding for LLMs.