Author here. I co-founded GrackerAI, which monitors AI citations for B2B companies, so I have a bias worth disclosing upfront.

The core finding that surprised me: we looked at cross-platform citation data and the overlap between engines is tiny. - Only 11% of domains get cited by both ChatGPT and Perplexity. - Less than 1% for specific queries. - Perplexity leans heavily on Reddit (47% of top citations). - ChatGPT favors direct authoritative sources with strong recency signals. - Google AI Overviews has 76% overlap with Google's top 10.

The practical implication for anyone building a B2B product: the AI engine your team uses for research is probably not the same one your enterprise buyer uses during procurement.

Wharton-GBK 2025 data shows ChatGPT at 67% enterprise adoption and Copilot at 58%, while Perplexity sits at roughly 18%.

The conversion data is also worth noting. Across 42 B2B sites studied, ChatGPT referral traffic converted at 15.9% vs 2.8% for traditional organic Google traffic. AI compresses the research phase, so visitors arrive further down the funnel.

Are you seeing similar patterns? And for those building developer tools or B2B products, which AI engines are you actually seeing referral traffic from?

There’s some sort of underground genai SEO movement happening. I am not sure how it works but I have been examining source quality from Perplexity and ChatGPT and finding the same sources over and over. I’ve found quite a few “gamed-looking” sources recently, basically similar to trash that have dominated Google serps for the last few years.