Section design examples

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

Section

Showing 24 of 6918 sections

resumind.vizo-techno.com — a real FAQ section
resumind.vizo-techno.com · FAQ
kling4.tv — a real FAQ section
kling4.tv · FAQ
buildingnow.app — a real Reviews section
buildingnow.app · Reviews
fleets.mridu-ai.com — a real FAQ section
fleets.mridu-ai.com · FAQ
arvopeak.com — a real Pricing section
arvopeak.com · Pricing
aurevia.io — a real FAQ section
aurevia.io · FAQ
suitemigration.com — a real FAQ section
suitemigration.com · FAQ
votreassistantia.fr — a real FAQ section
votreassistantia.fr · FAQ
doppio.sh — a real FAQ section
doppio.sh · FAQ
videowatermarkremover.org — a real FAQ section
videowatermarkremover.org · FAQ
videobgremover.org — a real Pricing section
videobgremover.org · Pricing
imageblender.app — a real FAQ section
imageblender.app · FAQ
davinci-ai.pro — a real Features section
davinci-ai.pro · Features
pika-ai.pro — a real FAQ section
pika-ai.pro · FAQ
digenai.pro — a real Pricing section
digenai.pro · Pricing
kilingai.pro — a real Pricing section
kilingai.pro · Pricing
memexlab.ai — a real FAQ section
memexlab.ai · FAQ
airaindance.org — a real FAQ section
airaindance.org · FAQ
polyform.to — a real FAQ section
polyform.to · FAQ
dreaminai.art — a real FAQ section
dreaminai.art · FAQ
invideoai.pro — a real FAQ section
invideoai.pro · FAQ
guidance.so — a real Hero section
guidance.so · Hero
gortex.ai — a real Hero section
gortex.ai · Hero
askolly.live — a real Pricing section
askolly.live · Pricing
2587 funnels x-rayed3919 pages measured10 section types

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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.