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Thomas M Keuler CPA | Thomas M. Keuler, CPA Ripon, Wisconsin — 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 Personal Taxes →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
constructionwi.com ↗	64 match 1 shared topics	2026 Wisconsin Property Tax Calculator \| New Construction & Referendum Impact	United States~ en	personal-taxes	robotsllmsaihumans	emailphone	none
bbendercpa.com ↗	63 match 1 shared topics	Barbara Bender, CPA \| Atlanta Estate and Trust Taxation	en	personal-taxes WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vjlloydcpa.com ↗	63 match 1 shared topics	Vincent J. Lloyd, CPA (CFF/PFS), CRTP, EA - Home	en	personal-taxes Weebly	robotsllmsaihumans	emailphone	none
estatecpafirm.com ↗	63 match 1 shared topics	Trust & Estate Planning CPA \| CA	United States~ en	personal-taxes	robotsllmsaihumans	email phone	none
mdmitchellcpa.com ↗	62 match 1 shared topics	Hope Mills, NC CPA Firm \| Home Page \| Michael D Mitchell, CPA	United States~ en	personal-taxes	robotsllmsaihumans	email phone	partial · 4
beardelawarecpa.com ↗	62 match 1 shared topics	Delaware, CPA / Cornerstone Group, LLC, Newark Delaware Tax Preparation, Newark Delaware CPA	United States~ en	personal-taxes	robotsllmsaihumans	email phone	partial · 4
mcwcpafirm.com ↗	62 match 1 shared topics	Port Jefferson, NY Tax Preparation and Accounting \| Michael C. Williams CPA PC	United States~ en	personal-taxes	robotsllmsaihumans	email phone	none
mctaxes.net ↗	62 match 1 shared topics	Tax Preparation Servcies \| M. C. Taxes, LLC	en	personal-taxes Joomla	robotsllmsaihumans	email phone	none
landwcpas.com ↗	62 match 1 shared topics	Lawler & Witkowski, CPAs - Buffalo's Tax Problem Solvers	en	personal-taxes WordPress	robotsllmsaihumans	emailphone	none
2teescpa.com ↗	62 match 1 shared topics	Tax Preparation & CPA Firm in Perry Hall-Parkville, MD. Paramount	en	personal-taxes	robotsllmsaihumans	emailphone	none
2teesllc.com ↗	62 match 1 shared topics	Tax Preparation & CPA Firm in Perry Hall-Parkville, MD. Paramount	en	personal-taxes	robotsllmsaihumans	emailphone	none
ksweatcpa.com ↗	62 match 1 shared topics	Karen M. Sweat, CPA	United States~ en	personal-taxes WordPress	robotsllmsaihumans	emailphone	none
csaccounting.com ↗	62 match 1 shared topics	CPA Tax Reduction Strategies \| Tax Preparation \| Sandy UT	United States~ en	personal-taxes	robotsllmsaihumans	email phone	none
hickamcpa.com ↗	62 match 1 shared topics	David W. Hickam, CPA	en	personal-taxes	robotsllmsaihumans	emailphone	none
df-jets.com ↗	62 match 1 shared topics	Janice Crook, CPA, PLLC \| Tax Talk	en	personal-taxes WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bayareataxadvisors.com ↗	62 match 1 shared topics	Bay Area Tax Advisors \| Tax preparation in the Bay Area \| San Francisco, CA, USA	en	personal-taxes Wix	robots llmsaihumans	emailphone	none
consumersviptaxes.com ↗	62 match 1 shared topics	Consumer VIP Tax Services – Precision in Taxes, Excellence in Service – Ericka Hanes, Your Trusted Tax Professional for Over 25 Years!	en	personal-taxes WordPress	robotsllmsaihumans	emailphone	none
kpaynetax.com ↗	62 match 1 shared topics	Kevin Payne, CPA Personalized Tax Service - Palm Springs - Home	en	personal-taxes	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.