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  • SEMAI Study: AI Platforms Cite Different Content for B2B Visibility
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SEMAI Study: AI Platforms Cite Different Content for B2B Visibility


SEMAI Study: AI Platforms Cite Different Content for B2B Visibility
  • by: Source Logo
  • |
  • February 26, 2026

SEMAI, the AI visibility tracking platform for B2B marketing teams, has released new research analyzing over 25,000 URLs cited by ChatGPT, Google Gemini, and Perplexity AI across a 60-day period. The study highlights that each AI platform favors fundamentally different content types, creating platform-specific visibility challenges for brands and underscoring the need for tailored AI search optimization strategies beyond traditional Google SEO.

Quick Intel

  • Blogs (41–55%) and webpages (38–47%) together account for over 90% of citations across ChatGPT, Gemini, and Perplexity.
  • ChatGPT uniquely cites LinkedIn posts (1.1%), Wikipedia (2.0%), and academic/research content (2.2%) at significantly higher rates.
  • Perplexity prioritizes comparison pages and solution-specific content, making it key for bottom-of-funnel B2B buyer intent.
  • Gemini strongly favors brand-owned blog content while largely avoiding community sources like Reddit and Wikipedia.
  • Brands optimizing for one AI platform risk invisibility on others due to distinct citation models.
  • Over 63% of B2B research now starts on AI platforms, yet most teams still focus primarily on Google rankings.

The research exposes a critical shift in how B2B buyers discover information. As AI platforms increasingly serve as primary research starting points, citation patterns vary widely by model, meaning a one-size-fits-all approach to content creation leaves brands exposed on major channels.

ChatGPT shows a clear preference for thought leadership, data-backed, and community-influenced content, including meaningful citations from LinkedIn and Wikipedia alongside higher academic sourcing. This presents opportunities for B2B brands to gain visibility through authoritative, research-supported publishing and professional network engagement.

Perplexity stands out for its emphasis on comparison and solution-oriented pages, aligning closely with late-stage buyer journeys where decision-makers seek direct evaluations and product-specific information.

Gemini leans heavily toward owned editorial content from brand domains, rewarding strong domain authority and structured, high-quality blogging while minimizing reliance on external community or open-source references.

“The data makes it clear: you cannot optimize for AI search the way you optimized for Google,” said Raghu, CEO and Co-Founder of SEMAI. “Every platform has a different citation model. Brands that treat AI visibility as a single channel are structurally invisible to a significant portion of their buyers.”

SEMAI’s platform addresses this emerging gap by tracking brand presence across leading LLMs including ChatGPT, Perplexity, Gemini, and Claude. It delivers LLM-specific search volume insights, visibility classification (Weak/Average/Strong), and AI-generated content planning tools to help marketing teams adapt strategies for each platform’s unique citation behavior.

“We built SEMAI because there was no way to measure what we now believe is the most important channel in B2B marketing,” Raghu added. “This research is the first step in giving marketing teams a clear, data-backed picture of where they stand in AI search.”

The full report is available at semai.ai, where B2B marketing teams can also run a free AI visibility audit to assess their current standing across major AI platforms.

About SEMAI

SEMAI is the AI visibility tracking platform built for B2B marketing teams, providing LLM search volume data, visibility classification, and content strategy tools across ChatGPT, Google Gemini, Perplexity, and Claude.

  • AI SearchB2B MarketingContent Strategy
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