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

trirankai.com — a real FAQ section
trirankai.com · FAQ
getproductshot.com — a real Comparison section
getproductshot.com · Comparison
tripixo.ai — a real FAQ section
tripixo.ai · FAQ
aiugcvideogenerator.com — a real Pricing section
aiugcvideogenerator.com · Pricing
transpic.ai — a real Features section
transpic.ai · Features
tradercater.com — a real FAQ section
tradercater.com · FAQ
onecustomsong.com — a real Pricing section
onecustomsong.com · Pricing
unimusic.ai — a real FAQ section
unimusic.ai · FAQ
mailsenseai.com — a real FAQ section
mailsenseai.com · FAQ
zugrow.com — a real CTA section
zugrow.com · CTA
extractpics.com — a real FAQ section
extractpics.com · FAQ
stackwise.site — a real Hero section
stackwise.site · Hero
lineart.ai — a real Pricing section
lineart.ai · Pricing
yamate.au — a real CTA section
yamate.au · CTA
readyvisaphoto.com — a real Pricing section
readyvisaphoto.com · Pricing
imagecombiner.app — a real Pricing section
imagecombiner.app · Pricing
quickestimate.io — a real Logo Wall section
quickestimate.io · Logo Wall
brainsite.ai — a real Hero section
brainsite.ai · Hero
maccove.com — a real Hero section
maccove.com · Hero
scribix.io — a real Pricing section
scribix.io · Pricing
guidance.so — a real FAQ section
guidance.so · FAQ
octavia.lunartech.ai — a real Pricing section
octavia.lunartech.ai · Pricing
keybpmlab.com — a real Hero section
keybpmlab.com · Hero
tubeshelf.app — a real Email Capture section
tubeshelf.app · Email Capture
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.