Section Design Library

The bands real pages are built from

The unit you actually build. Every page is a stack of these bands — each card is one real section, cropped from a crawled page at its measured position. Pick the band you need.

Section

Showing 24 of 4744 sections

transparentlabs.com — a real FAQ section
transparentlabs.com · FAQ
tweetboost.ai — a real FAQ section
tweetboost.ai · FAQ
updf.com — a real FAQ section
updf.com · FAQ
vidrush-ai.com — a real FAQ section
vidrush-ai.com · FAQ
voiceart.app — a real FAQ section
voiceart.app · FAQ
zynfo.ai — a real FAQ section
zynfo.ai · FAQ
analyse.net — a real FAQ section
analyse.net · FAQ
chatflow.co — a real FAQ section
chatflow.co · FAQ
contentpen.ai — a real FAQ section
contentpen.ai · FAQ
gettinylawn.com — a real FAQ section
gettinylawn.com · FAQ
hyperstone.ai — a real FAQ section
hyperstone.ai · FAQ
interviewscreener.com — a real FAQ section
interviewscreener.com · FAQ
ottermind.ai — a real FAQ section
ottermind.ai · FAQ
sendmux.ai — a real FAQ section
sendmux.ai · FAQ
transept.ai — a real FAQ section
transept.ai · FAQ
tweetboost.ai — a real FAQ section
tweetboost.ai · FAQ
updf.com — a real FAQ section
updf.com · FAQ
zynfo.ai — a real FAQ section
zynfo.ai · FAQ
activ.run — a real FAQ section
activ.run · FAQ
art-and-see.com — a real FAQ section
art-and-see.com · FAQ
brainator.com — a real FAQ section
brainator.com · FAQ
fusedash.ai — a real FAQ section
fusedash.ai · FAQ
gumstory.com — a real FAQ section
gumstory.com · FAQ
helpstack.eu — a real FAQ section
helpstack.eu · FAQ
1777 funnels x-rayed2703 pages measured10 section types

X-ray your own funnel · free, no signup required

Method: every crawled page is segmented into full-width bands and each band classified into a section archetype by deterministic DOM signals: no LLM, no opinion. Prevalence counts each archetype once per page, across pages crawled all the way to the footer (partial crawls are held back, not guessed). "Typically sits" = the average of the section's position within the page body (0 = top, 1 = bottom). Scoped to the pages we've crawled, not "the web"; auto-updating as the corpus grows.