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AI Engine Citation Data: Which LLM Should B2B SaaS Companies Optimize For in 2026?
How-ToWeb Development

AI Engine Citation Data: Which LLM Should B2B SaaS Companies Optimize For in 2026?

via Dev.to WebdevDeepak Gupta10h ago

If you're building a B2B SaaS product and thinking about AI visibility, you've probably picked one platform to focus on. Maybe you've been optimizing your content for Perplexity because that's what your team uses for research. The data suggests that's probably the wrong call. I'm building GrackerAI to help B2B SaaS companies track their AI visibility across platforms, and the citation patterns we're seeing are not what most developers and technical marketers expect. Enterprise AI Adoption by the Numbers The Wharton-GBK Collective 2025 study provides a clear breakdown: AI Platform Enterprise Adoption Market Share AI Referral Traffic Share ChatGPT 67% 59.5% 87.4% Microsoft Copilot 58% 14% ~2% (web), embedded in M365 Google AI Overviews N/A (embedded in search) N/A Part of Google referral Perplexity ~18% 6.2% ~4% Claude ~18% 3.2% ~3% Source: Wharton-GBK 2025, Conductor AEO/GEO Benchmarks 2026 (3.3B sessions, 100M citations) ChatGPT accounts for 87.4% of all AI referral traffic across indu

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