Section design examples

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

Section

Showing 24 of 6918 sections

trellis2.art — a real FAQ section
trellis2.art · FAQ
getxapi.com — a real FAQ section
getxapi.com · FAQ
autoforwardtext.com — a real FAQ section
autoforwardtext.com · FAQ
supabase.com — a real FAQ section
supabase.com · FAQ
tallymsg.app — a real Features section
tallymsg.app · Features
startupa.ge — a real Logo Wall section
startupa.ge · Logo Wall
randomprompts.org — a real Hero section
randomprompts.org · Hero
the-geniuswave.us — a real Logo Wall section
the-geniuswave.us · Logo Wall
course2learn.in — a real FAQ section
course2learn.in · FAQ
systima.ai — a real Hero section
systima.ai · Hero
facelessreels-ai.com — a real FAQ section
facelessreels-ai.com · FAQ
firefox.com — a real Hero section
firefox.com · Hero
pumpynotes.com — a real Hero section
pumpynotes.com · Hero
arobis.ai — a real FAQ section
arobis.ai · FAQ
imagine2.net — a real FAQ section
imagine2.net · FAQ
figviz.com — a real Pricing section
figviz.com · Pricing
autobacklinks.ai — a real Pricing section
autobacklinks.ai · Pricing
logoteddy.com — a real FAQ section
logoteddy.com · FAQ
colleator.com — a real FAQ section
colleator.com · FAQ
deepseek-v4.io — a real FAQ section
deepseek-v4.io · FAQ
oc-maker.org — a real FAQ section
oc-maker.org · FAQ
supadr.com — a real FAQ section
supadr.com · FAQ
notion.com — a real Logo Wall section
notion.com · Logo Wall
vercel.com — a real Hero section
vercel.com · Hero
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.