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Nancy Baye - Content Strategist, Editor, Writer - About Nancy Baye Bio — 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 Freelance Writing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
curtisweyant.com ↗	72 match 1 shared topics	Curtis Weyant \| Writer, Editor & Content Strategist	en	freelance-writing WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
crystallewisbrown.com ↗	71 match 1 shared topics	Crystal Lewis Brown – Writer. Editor. Content Strategist.	en	freelance-writing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
elliecollins.me ↗	71 match 1 shared topics	Freelance Writer & Content Strategist \| Ellie Collins	en	freelance-writing	robotsllmsaihumans	emailphone	none
camillahunt.co.uk ↗	70 match 1 shared topics	Home \| Camilla Hunt \| Copywriter and Content Strategist	GB en	freelance-writing Wix	robots llmsaihumans	emailphone	none
lshermanportfolio.com ↗	69 match 1 shared topics	Linda S. Sherman — Writer & Content Strategist	en	freelance-writing	robotsllmsaihumans	emailphone	none
susanjacobswriter.com ↗	69 match 1 shared topics	Susan Jacobs \| Freelance Writer, Content Writer, Copywriter & Editor	en	freelance-writing Squarespace	robotsllmsaihumans	emailphone	none
elizabethlorgecollins.com ↗	69 match 1 shared topics	Elizabeth M. Collins – Writer \| Editor \| Proofreader \| Interviewer \| Content Creator \| Strategic Communicator	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
carolinepieracci.com ↗	69 match 1 shared topics	Caroline Pieracci \| Content Strategist & UX Writer	en	freelance-writing	robotsllmsaihumans	emailphone	none
elizabethxu.net ↗	69 match 1 shared topics	Elizabeth Xu, freelance writer and content creator - Home	en	freelance-writing Weebly	robotsllmsaihumans	emailphone	none
fashiontravelwriter.com ↗	68 match 1 shared topics	Tess Pollard \| Content Strategist & Senior Copywriter \| Luxury Fashion & Travel	en	freelance-writing Squarespace Magento	robotsllmsaihumans	emailphone	none
natwrites.com ↗	68 match 1 shared topics	Natalie Mendes – Content Writer, Strategist and Content Marketer	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
denniscoday.com ↗	68 match 1 shared topics	Dennis Coday – Writer, journalist, editor, educator	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
urvichauhan.com ↗	68 match 1 shared topics	Urvi Chauhan \| Copywriter & Brand Strategist	en	freelance-writing	robotsllmsaihumans	emailphone	none
elkcreekcontentbyalissadedic.com ↗	68 match 1 shared topics	Elk Creek Content by Alissa Dedic – Alissa Dedic Freelance Editor, Writer, Book Reviewer	en	freelance-writing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joe-erbentraut.com ↗	68 match 1 shared topics	joe erbentraut – writing \| editing \| content strategy	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
jo-wallace.com ↗	68 match 1 shared topics	Jo Wallace - Content & Copywriting	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
nancyouma.com ↗	68 match 1 shared topics	Nancy Ouma – UX Writer & Content Writer	en	freelance-writing WordPress	robotsllmsaihumans	emailphone	none
devinpratt.com ↗	68 match 1 shared topics	Devin Pratt, Writer and Editor	en	freelance-writing WordPress	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.