Section Design Library

The bands real pages are built from

The unit you actually build. Every page is a stack of these bands — each card is one real section, cropped from a crawled page at its measured position. Pick the band you need.

Section

Showing 24 of 4744 sections

adriselab.com — a real FAQ section
adriselab.com · FAQ
aiimagetovideos.com — a real FAQ section
aiimagetovideos.com · FAQ
aiwith.me — a real FAQ section
aiwith.me · FAQ
antwork.io — a real FAQ section
antwork.io · FAQ
any2url.com — a real FAQ section
any2url.com · FAQ
booktranslator.app — a real FAQ section
booktranslator.app · FAQ
briced.com — a real FAQ section
briced.com · FAQ
butcherbox.com — a real FAQ section
butcherbox.com · FAQ
chatgptresume.com — a real FAQ section
chatgptresume.com · FAQ
ciaotutor.com — a real FAQ section
ciaotutor.com · FAQ
cleanvoice.app — a real FAQ section
cleanvoice.app · FAQ
coldops.io — a real FAQ section
coldops.io · FAQ
coloringdaily.com — a real FAQ section
coloringdaily.com · FAQ
commenty.ai — a real FAQ section
commenty.ai · FAQ
coveragepush.com — a real FAQ section
coveragepush.com · FAQ
critsnap.app — a real FAQ section
critsnap.app · FAQ
davinci.ai — a real FAQ section
davinci.ai · FAQ
docubix.com — a real FAQ section
docubix.com · FAQ
faceswaply.com — a real FAQ section
faceswaply.com · FAQ
feno.co — a real FAQ section
feno.co · FAQ
fig0.ai — a real FAQ section
fig0.ai · FAQ
fitsuite.co — a real FAQ section
fitsuite.co · FAQ
flowsong.app — a real FAQ section
flowsong.app · FAQ
flux-3.co — a real FAQ section
flux-3.co · FAQ
1777 funnels x-rayed2703 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.