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Poseidon Project - Must-Try Pizza in San Diego — 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 Bars And Restaurants →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
last-chance-pizza.com ↗	70 match 2 shared topics	Must-Try Pizza in Dillon, CO \| Last Chance Pizza	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
bearcreekpizza.com ↗	69 match 2 shared topics	Bear Creek Pizza & Pub – Must-Try Restaurant in Molalla	en	bars-and-restaurants	robotsllmsaihumans	email phone	none
vivipizzeria.com ↗	69 match 2 shared topics	Must-Try Pizza in Woodinville, WA \| Vivi Pizzeria	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
lapizzakitchenfq.com ↗	69 match 2 shared topics	Must-Try Restaurant in New Orleans, LA \| La Pizza Kitchen	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
vivaitalianpizza.com ↗	68 match 2 shared topics	Viva Italian Pizza - Must-Try Restaurant in Lake Park, FL	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
poorrichardspizzeria.com ↗	68 match 2 shared topics	Must-Try Pizza in Colorado Springs \| Poor Richard's	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
showtime-pizzeria.com ↗	68 match 2 shared topics	Must-Try Restaurant in Aptos, CA \| Showtime Pizzeria	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
showtimepizzeria.com ↗	68 match 2 shared topics	Must-Try Restaurant in Aptos, CA \| Showtime Pizzeria	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
allentownpizzaproject.com ↗	68 match 2 shared topics	Allentown Pizza Project \| Light, Airy Pizza in Allentown, PA	en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
lastfrontiersaloonfallcity.com ↗	68 match 2 shared topics	Must-Try Dive Bar in Fall City, WA \| Last Frontier Saloon	en	bars-and-restaurants	robotsllmsaihumans	email phone	none
1lovecafe.com ↗	68 match 2 shared topics	Must-Try Coffeehouse in San Bruno \| One Love Cafe	United States~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
lapizzerialittleitaly.com ↗	67 match 2 shared topics	Must-Try Restaurant in Cleveland, OH \| La Pizzeria	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
ladywildesnyc.com ↗	66 match 2 shared topics	Must-Try Bar in New York City, NY \| Lady Wilde's	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
paesanos.biz ↗	66 match 2 shared topics	Paesanos – Italian food and pizza in Sacramento	en	bars-and-restaurants WordPress WooCommerce	robotsllmsaihumans	emailphone	none
estesparkbighorn.com ↗	66 match 2 shared topics	Must-Try American Restaurant in Estes Park \| Big Horn	United States~ en	bars-and-restaurants	robotsllmsaihumans	emailphone	none
baysidelanding.com ↗	66 match 2 shared topics	Must-Visit Gastropub in Pacific Beach \| Bayside Landing	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
mcconkeysjungleshack.com ↗	66 match 2 shared topics	Salvadoran Restaurant in San Diego CA \| Restaurante El Salvadoreno	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	none
dhopnorthmyrtle.com ↗	66 match 2 shared topics	Must-Try Breakfast & Brunch in North Myrtle Beach \| Dino's	United States~ en	bars-and-restaurants	robotsllmsaihumans	email phone	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.