What Page Types Do LLMs Cite? A Study of 28 B2B SaaS Companies

What Page Types Do LLMs Cite? A Study of 28 B2B SaaS Companies

Team Pick
Analytics & Attribution
TripleDart
Traffic study
A quarter of assistant traffic across 28 B2B SaaS companies, broken down by the page type that earned the session and the page type that converted it.
Organisation
TripleDart
Written By
Abishek Balaji
PUBLISHED
August 5, 2026
Read
3
min

What it is.

28 B2B SaaS companies, one quarter of data, 11,513 unique URLs classified into 35 page types. 65,583 sessions and 82 leads came through assistants.

The homepage does the converting. It took 20,917 sessions, produced 67 leads at 0.32%, and accounts for 81.7% of every measurable AI-attributed lead here.

General blog content took 12,135 sessions and produced zero leads, while pricing posts converted at 1.50% off 266 sessions and long-form at 1.47% off 273.

Read it at the source.

Opens on TripleDart. Free, and the figures on this page all come from it.
Read the guide

Frequently Asked Questions

Which page converts assistant traffic?
Is blog traffic from assistants worth anything?
Which assistant sends the most B2B traffic?
Does Perplexity convert?
How many page types are worth tracking?
Strengths
  • It splits traffic from conversion, so you can see which page types earn a citation and which ones close.
  • ChatGPT is 72.2% of sessions and 86.6% of leads, which settles where a small team spends its first month.
  • Four page types drive 64.6% of citations, so the work list is short.
Limitations
  • This is our own study, and TripleDart sells the work it describes.
  • 82 leads is a small number to split 35 ways, so treat the thin cells as directional.
  • Last-touch attribution understates assistant influence across a buying cycle of several research visits.
Skip this if
  • Skip it if you already split assistant traffic by page type in your own analytics and act on it monthly.
Ideal for
  • Marketing leads reporting on AI traffic
  • Analytics owners building page-type reporting

The plays behind the reading.

We build inbound GTM engines for B2B software teams, and these are the frameworks we build from. Bring us a pipeline target and we'll map the route.