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Impossiblepancakes alternatives & similar sites

Shelfsight - Dayparting Manager — 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
ayehlaing.site ↗	70 match 1 shared topics	Aye Hlaing — Digital Marketing Manager	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
angellopez.art ↗	69 match 1 shared topics	Angel Lopez – Marketing Manager	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
contemporary-marketing.org ↗	69 match 1 shared topics	Contemporary Marketing Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
contrerasfrancisco.com ↗	69 match 1 shared topics	Francisco - Product Marketing Manager	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
leandrocampos.com ↗	68 match 1 shared topics	Leandro Campos \| Product Marketing Manager	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
vitezabraham.com ↗	68 match 1 shared topics	Meet Vitez Abraham: Marketing Manager	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
coastalmarketingmanagement.com ↗	68 match 1 shared topics	Coastal Marketing Management	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
communitypush.net ↗	67 match 1 shared topics	CommunityPush - Marketing Campaign Management	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thehootsuite.com ↗	67 match 1 shared topics	Social Media Marketing and Management Tool \| Hootsuite	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
coandconnect.com ↗	67 match 1 shared topics	Co & Connect - Digital Marketing & Brand Management \| Connect, Grow, Win	UK~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
rooshenasmarketing.com ↗	67 match 1 shared topics	rooshenas marketing - Rooshenas Marketing Management	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimeadspro.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimescaleworks.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimerevpro.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimeoptimize.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimelogic.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimelite.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
themrprimelead.com ↗	67 match 1 shared topics	Amazon Marketing Agency & Management \| Mr. Prime	United Kingdom~ en	marketing-and-advertising WordPress	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.