Section Design Library

The bands real pages are built from

5,217 sections captured and categorized, from 1,968 funnels x-rayed.

Section

Showing 24 of 5217 sections

koozee.ai — a real FAQ section
koozee.ai · FAQ
lensgo.app — a real Hero section
lensgo.app · Hero
painonsocial.com — a real CTA section
painonsocial.com · CTA
interviewwatch.com — a real FAQ section
interviewwatch.com · FAQ
mapleads.ai — a real CTA section
mapleads.ai · CTA
speaknode.com — a real Comparison section
speaknode.com · Comparison
blue-chimp.com — a real Logo Wall section
blue-chimp.com · Logo Wall
outrank.so — a real Hero section
outrank.so · Hero
securedai.com — a real FAQ section
securedai.com · FAQ
rehabrange.com — a real CTA section
rehabrange.com · CTA
feno.co — a real Reviews section
feno.co · Reviews
sourclip.com — a real Comparison section
sourclip.com · Comparison
art-and-see.com — a real CTA section
art-and-see.com · CTA
zynfo.ai — a real FAQ section
zynfo.ai · FAQ
updf.com — a real Hero section
updf.com · Hero
twizzlo.com — a real CTA section
twizzlo.com · CTA
modal.com — a real CTA section
modal.com · CTA
sendmux.ai — a real FAQ section
sendmux.ai · FAQ
shopeasy.ai — a real Hero section
shopeasy.ai · Hero
quitlo.com — a real CTA section
quitlo.com · CTA
polyform.to — a real Pricing section
polyform.to · Pricing
photovideos.net — a real FAQ section
photovideos.net · FAQ
peakvisibility.io — a real Hero section
peakvisibility.io · Hero
interviewscreener.com — a real Hero section
interviewscreener.com · Hero
1968 funnels x-rayed2964 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.