iata.org — AI Search Visibility Report
Overall score: 69/100
AI search visibility analysis for iata.org. LLMao scored iata.org 69/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 80/100 — Professional and clear, though some industry jargon is used without immediate definitions.
- schema_markup: 30/100 — Major gap: No JSON-LD found in the provided HTML. Relies on Open Graph and Twitter cards.
- authority_trust: 70/100 — Strong institutional trust, but lacks granular author credentials and Person schema for experts.
- citation_sources: 65/100 — High-quality primary data, but lacks formal inline citations or structured references for factual claims.
- content_freshness: 75/100 — Content is very recent (2026 dates found), but lacks structured 'dateModified' metadata.
- content_structure: 70/100 — Clear navigation and sections, but uses multiple H1 tags and lacks a semantic <main> wrapper.
- entity_definition: 75/100 — Strong brand consistency and 'About' presence, but lacks structured Organization schema.
- technical_accessibility: 80/100 — Good meta descriptions and social tags, but AI crawler directives are not explicitly optimized.
Top recommendations
- Implement JSON-LD Schema Markup (Schema Markup): Implement comprehensive JSON-LD schema. Currently, the site relies on basic Meta tags. Adding Organization, Event, and Article schema will help LLMs better index IATA's vast industry data.
- Enhance Author E-E-A-T Signals (Authority & Trust): Add explicit author bylines and Person schema for the Director General and subject matter experts. LLMs prioritize content with clear, verifiable expertise (E-E-A-T).
- Standardize Publication Metadata (Content Freshness): Ensure all news and event pages include machine-readable 'datePublished' and 'dateModified' metadata to signal recency to LLM crawlers.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly allow AI crawlers (GPTBot, Claude-bot) in robots.txt to ensure full indexing of technical manuals and press releases.
- Fix Heading Hierarchy (Content Structure): Improve H1-H3 hierarchy on the homepage. Currently, multiple H1 tags are used, which can confuse LLMs regarding the primary page entity.