Section Design Library

The bands real pages are built from

5,447 sections captured and categorized, from 2,073 funnels x-rayed.

Section

Showing 24 of 5447 sections

linkeddit.com — a real CTA section
linkeddit.com · CTA
amabrik.com — a real Pricing section
amabrik.com · Pricing
anakin.io — a real FAQ section
anakin.io · FAQ
granite.so — a real FAQ section
granite.so · FAQ
mailafiniti.com — a real Hero section
mailafiniti.com · Hero
geni3.org — a real Reviews section
geni3.org · Reviews
ai3dworld.org — a real Reviews section
ai3dworld.org · Reviews
sourcetable.com — a real CTA section
sourcetable.com · CTA
fitsuite.co — a real CTA section
fitsuite.co · CTA
athleticbrewing.com — a real Logo Wall section
athleticbrewing.com · Logo Wall
usevelo.ai — a real FAQ section
usevelo.ai · FAQ
buzzwire.io — a real Pricing section
buzzwire.io · Pricing
magicshot.ai — a real FAQ section
magicshot.ai · FAQ
doppio.sh — a real Logo Wall section
doppio.sh · Logo Wall
painonsocial.com — a real Pricing section
painonsocial.com · Pricing
outrank.so — a real Logo Wall section
outrank.so · Logo Wall
feno.co — a real Pricing section
feno.co · Pricing
zynfo.ai — a real Comparison section
zynfo.ai · Comparison
twizzlo.com — a real Features section
twizzlo.com · Features
sendmux.ai — a real FAQ section
sendmux.ai · FAQ
polyform.to — a real Pricing section
polyform.to · Pricing
chatflow.co — a real Comparison section
chatflow.co · Comparison
responsly.ai — a real CTA section
responsly.ai · CTA
meev.ai — a real Hero section
meev.ai · Hero
2073 funnels x-rayed3090 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.