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Jack Shepler | Indianapolis Marketing & Technology Expert — 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
agencyofrelationships.com ↗	72 match 1 shared topics	Marketing and Technology Experiences That Inspire \| AGENCYOF	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
agencyofpharma.com ↗	72 match 1 shared topics	Marketing and Technology Experiences That Inspire \| AGENCYOF	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
thingsweneedagency.com ↗	72 match 1 shared topics	Digital Marketing Agency Indianapolis	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agilebrandguide.com ↗	72 match 1 shared topics	A Guide to Marketing Technology and CX	en	marketing-and-advertising WordPress Shopify	robots llmsaihumans	emailphone	partial · 1
martechipedia.com ↗	72 match 1 shared topics	A Guide to Marketing Technology and CX	en	marketing-and-advertising WordPress Shopify	robots llmsaihumans	emailphone	partial · 1
waveagy.com ↗	72 match 1 shared topics	Long Island Marketing & Technology Agency \| Wave Agency	United States~ en	marketing-and-advertising	robotsllmsaihumans	email phone	partial · 8
wearebackstage.com ↗	72 match 1 shared topics	A technology partner for ambitious experiential marketing teams	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
wearexi.com ↗	72 match 1 shared topics	WeAreXi: Experiential Marketing Technology for Global Brands	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
martechbrew.com ↗	72 match 1 shared topics	Martech Brew - Marketing Technology	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
marketingassociates.com ↗	71 match 1 shared topics	OneMagnify \| Marketing, Data & Technology Agency	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
thiscom.com ↗	71 match 1 shared topics	Digital Marketing & Technology for Small Businesses \| ThisCom	United States~ en	marketing-and-advertising	robots llmsaihumans	emailphone	partial · 9
marketinglab.com ↗	71 match 1 shared topics	RAZR – Marketing Technology & Services	United States~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
martechery.com ↗	71 match 1 shared topics	Martechery - Marketing Technology Services	Australia~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
1b-solutions.com ↗	71 match 1 shared topics	1B Solutions \| Marketing Technology	en	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
markatingtech.com ↗	71 match 1 shared topics	Katya Nudnov — Marketing & Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
martechhelp.com ↗	71 match 1 shared topics	MarTech Help! • Marketing technology experts, so you don't have to be	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
martechoutlook.com ↗	71 match 1 shared topics	MarTech Outlook \| Driving Marketing Technology	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
agroup.info ↗	71 match 1 shared topics	The A Group • Marketing and Technology Agency	en	marketing-and-advertising	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.