New research analyzing 1.2 million ChatGPT responses reveals that AI citation patterns are highly vertical-specific, debunking universal SEO writing formulas and highlighting the dominance of corporate content.

Key points

• Declarative, direct opening statements provide a 14% aggregate lift in citation rates across all seven analyzed industries.
• Including specific dates and numerical data consistently improves citation likelihood, while pricing-focused intros generally suppress it.
• Corporate and editorial content accounts for 94.7% of all AI citations, significantly outperforming user-generated content like Reddit or forums.
• Heading structure is binary; pages with three to four headings perform worse than those with zero, while optimal depth varies by vertical.
• Niche, specific entities outperform well-known, Knowledge Graph-verified entities, which often correlate with generic content that AI avoids.

These findings suggest that businesses should abandon "one-size-fits-all" AI optimization strategies in favor of vertical-specific content architecture. By prioritizing authoritative corporate data and precise, niche entity usage over generic SEO tactics, brands can better align their content with the specific citation behaviors of LLMs.