Section design examples

6,918 sections captured and categorized, from 2,587 funnels x-rayed.

Section

Showing 24 of 6918 sections

vibebot.gg — a real Pricing section
vibebot.gg · Pricing
nexgamelite.com — a real Features section
nexgamelite.com · Features
linkeddit.com — a real Hero section
linkeddit.com · Hero
aitexture.ai — a real Pricing section
aitexture.ai · Pricing
nametastic.com — a real FAQ section
nametastic.com · FAQ
batchremover.com — a real FAQ section
batchremover.com · FAQ
zelnum.com — a real FAQ section
zelnum.com · FAQ
automatedseo.app — a real FAQ section
automatedseo.app · FAQ
purecroft.fr — a real FAQ section
purecroft.fr · FAQ
nevarroapp.com — a real FAQ section
nevarroapp.com · FAQ
repbud.app — a real Features section
repbud.app · Features
videokr.com — a real Hero section
videokr.com · Hero
tryclef.com — a real FAQ section
tryclef.com · FAQ
theshoptools.com — a real FAQ section
theshoptools.com · FAQ
aiwebmaker.co — a real FAQ section
aiwebmaker.co · FAQ
pixeltools.io — a real FAQ section
pixeltools.io · FAQ
clerkwatch.com — a real Pricing section
clerkwatch.com · Pricing
aso.best — a real FAQ section
aso.best · FAQ
gohalves.ai — a real Hero section
gohalves.ai · Hero
klox.ai — a real Pricing section
klox.ai · Pricing
mentionspot.com — a real FAQ section
mentionspot.com · FAQ
fellowproducts.com — a real Logo Wall section
fellowproducts.com · Logo Wall
biovelt.com — a real FAQ section
biovelt.com · FAQ
birthdayinvitation.ai — a real FAQ section
birthdayinvitation.ai · FAQ
2587 funnels x-rayed3919 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.