Section Design Library

The bands real pages are built from

5,479 sections captured and categorized, from 2,090 funnels x-rayed.

Section

Showing 24 of 5479 sections

supasidebar.com — a real Logo Wall section
supasidebar.com · Logo Wall
vidrush-ai.com — a real FAQ section
vidrush-ai.com · FAQ
outrank.so — a real Logo Wall section
outrank.so · Logo Wall
securedai.com — a real CTA section
securedai.com · CTA
zens.ai — a real Hero section
zens.ai · Hero
unslopai.com — a real Pricing section
unslopai.com · Pricing
rehabrange.com — a real CTA section
rehabrange.com · CTA
outfitswap.org — a real CTA section
outfitswap.org · CTA
creget.com — a real FAQ section
creget.com · FAQ
ritual.com — a real Reviews section
ritual.com · Reviews
seedance25ai.net — a real Logo Wall section
seedance25ai.net · Logo Wall
hellotushy.com — a real Hero section
hellotushy.com · Hero
feno.co — a real FAQ section
feno.co · FAQ
sourclip.com — a real FAQ section
sourclip.com · FAQ
snapvee.com — a real FAQ section
snapvee.com · FAQ
pushmyapp.ai — a real Hero section
pushmyapp.ai · Hero
art-and-see.com — a real Hero section
art-and-see.com · Hero
zynfo.ai — a real Logo Wall section
zynfo.ai · Logo Wall
updf.com — a real Hero section
updf.com · Hero
unio.digital — a real Pricing section
unio.digital · Pricing
twizzlo.com — a real Hero section
twizzlo.com · Hero
threadotter.com — a real Pricing section
threadotter.com · Pricing
modal.com — a real CTA section
modal.com · CTA
tailscale.com — a real Hero section
tailscale.com · Hero
2090 funnels x-rayed3110 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.