Section Design Library

The bands real pages are built from

5,661 sections captured and categorized, from 2,138 funnels x-rayed.

Section

Showing 24 of 5661 sections

coprep.ai — a real CTA section
coprep.ai · CTA
amabrik.com — a real FAQ section
amabrik.com · FAQ
anakin.io — a real Hero section
anakin.io · Hero
nflowapp.com — a real FAQ section
nflowapp.com · FAQ
granite.so — a real Hero section
granite.so · Hero
verizon.com — a real Pricing section
verizon.com · Pricing
geni3.org — a real Logo Wall section
geni3.org · Logo Wall
textto3dworld.org — a real Reviews section
textto3dworld.org · Reviews
ai3dworld.org — a real Logo Wall section
ai3dworld.org · Logo Wall
sourcetable.com — a real Hero section
sourcetable.com · Hero
fitsuite.co — a real Hero section
fitsuite.co · Hero
localhero.live — a real Reviews section
localhero.live · Reviews
creatify.ai — a real CTA section
creatify.ai · CTA
kosas.com — a real Pricing section
kosas.com · Pricing
igly.ai — a real FAQ section
igly.ai · FAQ
kwatch.io — a real Pricing section
kwatch.io · Pricing
usevelo.ai — a real Hero section
usevelo.ai · Hero
shoturo.com — a real Logo Wall section
shoturo.com · Logo Wall
mailafiniti.com — a real Hero section
mailafiniti.com · Hero
quickestimate.io — a real Features section
quickestimate.io · Features
buzzwire.io — a real FAQ section
buzzwire.io · FAQ
bavlio.com — a real CTA section
bavlio.com · CTA
magicshot.ai — a real Hero section
magicshot.ai · Hero
posteahora.com — a real CTA section
posteahora.com · CTA
2138 funnels x-rayed3200 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.