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PaulFirth :: Tampa Technology and Business Consulting - Software, Programming, Marketing, Management — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ovis-software.com ↗	75 match 1 shared topics	Ovis software - Telecom management, business and technology consulting	en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
oxynconsulting.com ↗	74 match 1 shared topics	Oxyn Consulting - Software Development & Business Consultation	en	software-and-applications	robotsllmsaihumans	emailphone	none
gaisan.com ↗	72 match 1 shared topics	Gaisan Technologies - Software for the Business Community	en	software-and-applications	robotsllmsaihumans	emailphone	none
gamrila.com ↗	71 match 1 shared topics	Gamrila Technologies \| Software Engineering, Product Delivery & Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
sasoftwareconsulting.com ↗	71 match 1 shared topics	SA Software Consulting - Home	en	software-and-applications	robotsllmsaihumans	emailphone	none
waterstechgroup.com ↗	70 match 1 shared topics	Waters Technology Group \| Software Solutions & Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
scriptit-inc.com ↗	70 match 1 shared topics	Business management software	en	software-and-applications	robotsllmsaihumans	email phone	none
agazetech.com ↗	70 match 1 shared topics	Agaze Technologies - Software Development & Technology Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
affordablemagic.net ↗	70 match 1 shared topics	Affordable Magic — Technology Consulting & Software	en	software-and-applications Spree Commerce	robotsllmsaihumans	emailphone	none
webnza.com ↗	70 match 1 shared topics	Webnza! Infotech - Software Development, IT Consulting & Digital Solutions	en	software-and-applications	robotsllmsaihumans	emailphone	none
jamiefrausto.com ↗	70 match 1 shared topics	Super Easy Technologies \| Software for Hospitality and Business	en	software-and-applications	robotsllmsaihumans	emailphone	none
sawtoothlabs.dev ↗	70 match 1 shared topics	Sawtooth Labs — Software Development & Consulting	en	software-and-applications	robotsllmsaihumans	emailphone	none
thibau.io ↗	70 match 1 shared topics	THIBAU - Software Development, Training, Consulting	en	software-and-applications	robotsllmsaihumans	email phone	none
agoricsource.com ↗	69 match 1 shared topics	Agoric Source - The intersection of marketing technology, economics, and software	en	software-and-applications WordPress WooCommerce	robotsllmsaihumans	emailphone	none
saultechnologiesmk.com ↗	69 match 1 shared topics	Saul Technologies - Building reliable software	en	software-and-applications	robotsllmsaihumans	emailphone	none
digitalstem.agency ↗	69 match 1 shared topics	DIGITALSTEM \| IT Consulting & Software Development \| Portugal	en	software-and-applications	robotsllmsaihumans	emailphone	none
ai365pro.com ↗	69 match 1 shared topics	AI365Pro \| All-in-One Business Management Software Australia	en	software-and-applications	robotsllmsaihumans	emailphone	none
2am.tech ↗	69 match 1 shared topics	2am.tech - Software Development and Consulting Company	en	software-and-applications	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.