What it is.
This looks at 41,853 assistant-referred sessions across 19,000 B2B SaaS URLs in the first quarter of 2026, classifying each landing page by how it was written.
The aggregate says 57% of sessions landed on pages with both AI and human input. Controlling for page type flips the reading: among editorial pages, 71% of sessions landed on purely AI-written content.
Page type decides the answer. Pricing posts run 92% purely AI, while comparison pages sit at 57%, the closest split anywhere in the data.
What you get.
- The sample: 41,853 assistant-referred sessions across 19,000 B2B SaaS URLs
- The aggregate at 57% AI-plus-human, against 71% purely AI once you look only at editorial
- Page-type splits, with pricing posts at 92% purely AI
- Per-assistant variation, from Claude at 74.4% down to Gemini at 61.3%
- Where each assistant sends traffic, with Perplexity at 27% editorial against ChatGPT at 18%
- The classification method, including the model used and its agreement rate
Read it at the source.
Read the guide
Why does controlling for page type matter?
Where is the data from?
Do LLMs prefer human-written content?
Where should human editing go?
Does page type change the answer?
Which assistant is most likely to send traffic to AI-written pages?