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Think, Feel, Say, Do | A blog about marketing and consumer behavior — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
digital-vision.co.uk ↗	72 match 1 shared topics	Freya's Marketing Blog – Consumer Behaviour	GB en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
yowgo.com ↗	72 match 1 shared topics	World Class Marketing and Consumer Insights \| Prodege	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hidiana.me ↗	71 match 1 shared topics	Diana Regal – Brand Marketing and Creative Strategy	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
epmarketingandresearch.com ↗	71 match 1 shared topics	EP Marketing and Research — v1.3	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
roboakley.com ↗	71 match 1 shared topics	Marketing, Copy, Design. \| A Head Of Marketing Blog	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ignitejm.com ↗	70 match 1 shared topics	JMarketing Agency \| Psychology To Influence Consumer Behaviour	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
storetroopers.com ↗	70 match 1 shared topics	Store Troopers - Online & On Shelf Retail Marketing Strategy for Consumer Technology	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
strivejm.com ↗	70 match 1 shared topics	JMarketing Agency \| Psychology To Influence Consumer Behaviour	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
ibernova-ms.com ↗	70 match 1 shared topics	Marketing App	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bamengine.com ↗	70 match 1 shared topics	Marketing Automation with Behavior Adapted Marketing software	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
meirdigital.co.uk ↗	70 match 1 shared topics	Matt Meir - WordPress and digital marketing consultancy	GB en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
design-scholarship.com ↗	70 match 1 shared topics	Food Marketing Awards	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
accurment.com ↗	70 match 1 shared topics	Accurment: Behavioural Engine for Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
orangetreedigital.co.uk ↗	70 match 1 shared topics	Orange Tree Digital - Digital Marketing Consultancy	GB en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
donterjackson.com ↗	70 match 1 shared topics	Donté R. Jackson \| Experienced Marketing and Sales Manager	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bankmarketingcenter.com ↗	70 match 1 shared topics	Bank Marketing Center - Bank marketing and advertising has never been easier.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bankadvertising.com ↗	70 match 1 shared topics	Bank Marketing Center - Bank marketing and advertising has never been easier.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mintzebras.com ↗	70 match 1 shared topics	Mint Zebra \| Strategic Digital Marketing and Consulting	en	marketing-and-advertising	robotsllmsaihumans	email phone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.