Section design examples

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

Section

Showing 24 of 6918 sections

flux-3.co — a real FAQ section
flux-3.co · FAQ
omnicreator.art — a real FAQ section
omnicreator.art · FAQ
chineseface.app — a real FAQ section
chineseface.app · FAQ
pixal3d.ai — a real FAQ section
pixal3d.ai · FAQ
connectsafely.ai — a real FAQ section
connectsafely.ai · FAQ
nanobananalite.app — a real FAQ section
nanobananalite.app · FAQ
birthdaywebsite.app — a real Pricing section
birthdaywebsite.app · Pricing
grok4.app — a real FAQ section
grok4.app · FAQ
analyse.net — a real FAQ section
analyse.net · FAQ
chinesegenderpredictor.app — a real FAQ section
chinesegenderpredictor.app · FAQ
feedback1.ai — a real FAQ section
feedback1.ai · FAQ
docubix.com — a real Pricing section
docubix.com · Pricing
easyfaceswap.com — a real FAQ section
easyfaceswap.com · FAQ
empiriolabs.ai — a real FAQ section
empiriolabs.ai · FAQ
pinci.ai — a real Logo Wall section
pinci.ai · Logo Wall
ichingonline.pro — a real FAQ section
ichingonline.pro · FAQ
platelens.app — a real FAQ section
platelens.app · FAQ
brainator.com — a real FAQ section
brainator.com · FAQ
claudify.tech — a real FAQ section
claudify.tech · FAQ
atlascoffeeclub.com — a real Hero section
atlascoffeeclub.com · Hero
aisocialfinder.com — a real FAQ section
aisocialfinder.com · FAQ
monitask.com — a real Pricing section
monitask.com · Pricing
postqued.com — a real FAQ section
postqued.com · FAQ
athleticbrewing.com — a real Pricing section
athleticbrewing.com · Pricing
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.