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

analyse.net — a real FAQ section
analyse.net · FAQ
syncdate.app — a real FAQ section
syncdate.app · FAQ
orla.finance — a real FAQ section
orla.finance · FAQ
greenonion.ai — a real CTA section
greenonion.ai · CTA
webdesignawards.io — a real FAQ section
webdesignawards.io · FAQ
responsly.ai — a real Reviews section
responsly.ai · Reviews
foliox.me — a real FAQ section
foliox.me · FAQ
citedspy.com — a real Hero section
citedspy.com · Hero
bypassify.online — a real Comparison section
bypassify.online · Comparison
shieldlabs.ai — a real CTA section
shieldlabs.ai · CTA
tallymsg.app — a real Comparison section
tallymsg.app · Comparison
meev.ai — a real Pricing section
meev.ai · Pricing
linkedgrow.ai — a real FAQ section
linkedgrow.ai · FAQ
ito.ai — a real CTA section
ito.ai · CTA
grammarly.com — a real FAQ section
grammarly.com · FAQ
getsocialclaw.com — a real Comparison section
getsocialclaw.com · Comparison
groniz.com — a real Hero section
groniz.com · Hero
evolink.ai — a real Comparison section
evolink.ai · Comparison
cursor.com — a real FAQ section
cursor.com · FAQ
diploria.ai — a real FAQ section
diploria.ai · FAQ
auditbadger.com — a real FAQ section
auditbadger.com · FAQ
trackrev.io — a real Hero section
trackrev.io · Hero
agentkey.app — a real CTA section
agentkey.app · CTA
postqued.com — a real Hero section
postqued.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.