Industry AI Readiness Reports

Regulatory pressure for accessibility and structured data gives healthcare a natural AI readiness advantage.

Government sites benefit from inherent domain authority (.gov) and public information mandates.

Academic institutions have strong authority signals but often lack modern schema markup implementation.

YMYL classification drives investment in E-E-A-T signals and structured data compliance.

Top finance sites invest heavily in content structure, but many block AI crawlers due to data sensitivity.

Legal sites with FAQ schema and jurisdictional authority perform well, but most lack modern AI protocols.

SaaS companies lead on llms.txt adoption (18%) but have inconsistent schema markup implementation.

Many publishers actively block AI crawlers, creating a tension between citation potential and content protection.

B2B companies with strong content marketing programs outperform peers by 2x on AI readiness.

E-commerce sites have strong Product schema but weak informational content structures.

Listing-heavy sites have good structured data for properties but weak informational content AI readiness.

Nonprofits are generally open to AI crawling but lack resources for structured data implementation.

Review-heavy travel sites have some structured data but limited AI protocol adoption.

Automotive sites with comparison/review content score significantly higher than dealership sites.

Construction industry has the lowest schema markup adoption, relying mainly on basic LocalBusiness schema.

Fitness sites with science-backed content and author credentials outperform lifestyle-focused competitors.

Gaming sites prioritize engagement metrics over structured data, missing AI discoverability opportunities.

Only 4% of restaurant sites have schema beyond basic LocalBusiness. Recipe sites significantly outperform restaurants.