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Home - Daniel Vidaletti | Senior & Group Product Manager, Digital Product Leader — 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 Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
danielvidaletti.com ↗	100 match 1 shared topics	Home - Daniel Vidaletti \| Senior & Group Product Manager, Digital Product Leader	en	executive-leadership-and-management Joomla	robotsllmsaihumans	emailphone	none
2cs-media.com ↗	73 match 1 shared topics	Lauren Schultz - Product Manager & Content Strategist	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
stansadlik.com ↗	72 match 1 shared topics	Stan Sadlik — Senior Product Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	partial · 8
viplovedey.com ↗	72 match 1 shared topics	Viplove Dey \| Senior Manager – Product Management & SaaS Platforms	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
olusholaoluyomi.com ↗	72 match 1 shared topics	Oluyomi Olushola Michael \| Senior Product Manager, AI PM Mentor & Product Builder	Nigeria~ en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
ealingdigital.co.uk ↗	71 match 1 shared topics	Ealing Digital Ltd – Senior digital product leadership and delivery	United Kingdom en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
danielsputa.com ↗	71 match 1 shared topics	Daniel Sputa - Certified Scrum Master, Product And Project Manager	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
katerynabuilds.com ↗	71 match 1 shared topics	Kateryna Serhiyenko \| Product Manager	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
annatorok.com ↗	71 match 1 shared topics	Anna Torok - Senior Product Manager/Product Lead	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daniellekisza.com ↗	71 match 1 shared topics	Daniella Kisza — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daniellakisza.com ↗	71 match 1 shared topics	Daniella Kisza — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
kbchauhan.com ↗	71 match 1 shared topics	Kuldeep B. Chauhan \| Senior Project Manager & PMO Leader	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
fabiandahlke.com ↗	70 match 1 shared topics	Fabian Dahlke - Product Manager Portfolio	Germany~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
anupambiswas.com ↗	70 match 1 shared topics	Anupam Biswas - Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
anthonyaustin.com ↗	70 match 1 shared topics	Anthony Austin — Senior Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
daveidle.com ↗	70 match 1 shared topics	Dave Idle \| CPO+ Product Leader & Enterprise Growth Executive	en	executive-leadership-and-management	robotsllmsaihumans	email phone	none
danielelaciura.com ↗	70 match 1 shared topics	Daniele La Ciura - Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
omidlatifi.com ↗	69 match 1 shared topics	Omid Latifi \| Award-Winning Innovator & Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	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.