How to Reverse Engineer the Best Content on YouTube - Internal · ranked by category · tech stack · backlink co-citation
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:
- co-citations how often the same third-party websites link out to both — sites referenced together tend to serve the same world.
- shared tech how much of their technology stack (CMS, e‑commerce, analytics, frameworks…) overlaps.
- shared category whether they sit in the same business / industry category.
- positioning how closely their titles and on‑page wording line up.
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.