similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to ashafrazier.com

Ashafrazier alternatives & similar sites

Asha Frazier | I Help Startups Stop Burning Cash on Bad Marketing — 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
launchpadconsult.com ↗	75 match 2 shared topics	LaunchPad	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
tortoise-and-volt.com ↗	75 match 2 shared topics	Tortoise & Volt	en	marketing-and-advertising Squarespace	robotsllmsaihumans	emailphone	none
tritexium.com ↗	75 match 2 shared topics	Tritexium \|	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 6
sammcintire.com ↗	75 match 2 shared topics	Sam McIntire	en	startups	robotsllmsaihumans	emailphone	none
theweekendlaunch.com ↗	75 match 2 shared topics	The Weekend Launch - Go From Idea to Validated Product in One Weekend	en	startups Lightspeed	robotsllmsaihumans	emailphone	none
corecontentlabs.com ↗	67 match 2 shared topics	Digital Marketing & Growth Hacking Tips for Startups	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
incubatemybrand.com ↗	66 match 2 shared topics	The Brand Incubator \| Marketing for Early-Stage Startups	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
incurify.com ↗	66 match 2 shared topics	Incurify – Web3 Marketing & Growth Agency for Startups	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mcmk.io ↗	66 match 2 shared topics	Startup Marketing Company \| Marketing Agency for B2B Startups–MCMK	en	startups Wix	robots llmsaihumans	emailphone	none
oneuppper.com ↗	66 match 2 shared topics	One Upper — Fractional Product & Growth Marketing for B2B Startups	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
launchboardmarketing.com ↗	65 match 2 shared topics	LaunchBoard Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
luxalea.com ↗	65 match 2 shared topics	Northern Pixels \| Exit-Proven CMO & Marketing Growth Team for AI & Deep Tech Startups	en	startups	robotsllmsaihumans	emailphone	partial · 8
ontopstrategy.com ↗	64 match 2 shared topics	On Top Strategy \| PR for Startups and VCs	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
sammelnick.com ↗	64 match 2 shared topics	Sam Melnick — B2B SaaS Marketing Executive	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
badgeandbanner.com ↗	64 match 2 shared topics	Badge+Banner \| Brand Packages for Early Stage SaaS Startups	en	startups	robots llmsaihumans	emailphone	none
launchmates.app ↗	64 match 2 shared topics	LaunchMate — Where technical founders find marketing co-founders	en	startups	robotsllmsaihumans	emailphone	none
a2y.marketing ↗	64 match 2 shared topics	Adam Yosilewitz — Fractional PMM for Early-Stage & Mid-Market Startups	en	startups	robotsllmsaihumans	emailphone	none
felixhmohr.com ↗	64 match 2 shared topics	Felix H Mohr – Founder-Led Marketing & Personal Branding	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.