We found 41 YouTube channels similar to Binging with Babish
Both target audiences for movie- and cinema-inspired recipes, showing high search alignment on movie food recreation and spooky snacks (87% match) though KarissaEats content focuses more on cinematic recreations and seasonal themes (78% content) compared to Babish.
Shares a focus on futuristic or sci-fi food concepts and recipes with Babish, reflected by an 81% match and strong alignment in search queries (82%) and content (81%), indicating similar concept-driven culinary storytelling.
Direct overlap with Babish on film- and movie-inspired cuisine and recreations (84% search, 78% content), signaling a shared niche in cooking from films and cinematic fare.
Covers cooking from films and cinema-inspired recipes aligned with Babish’s audience, yielding a 75% search overlap and 69% content similarity, indicating a related but more modest production scope.
Targets character meals and chef-character ideas similar to Babish’s cooking-for-characters angle, showing strong search alignment (77%) but slightly lower content similarity (68%), implying a comparable topic but different presentation.
Competes on movie/TV-inspired meals and film-based cooking, with high content overlap (81%) and solid search overlap (49%), suggesting a similar concept but broader or different stylistic approach.
35 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 67% | Tasty | 80% | 21.3M | 47% | 6 |
| #8 | 67% | Lucas Pelizaro | 66% | 39.4K | 67% | 11 |
| #9 | 65% | Travel Channel | 75% | 855K | 51% | 5 |
| #10 | 65% | Jamie Oliver ▶ | 76% | 6.2M | 49% | 6 |
| #11 | 64% | GoldenGully | 81% | 6.1M | 39% | 10 |
| #12 | 63% | Joshua Weissman ▶ | 76% | 10.5M | 44% | 5 |
| #13 | 62% | Gordon Ramsay ▶ | 82% | 21.9M | 33% | 7 |
| #14 | 62% | Always Yummy! | 79% | 58.5K | 37% | 5 |
| #15 | 61% | Tasty Recipes | 73% | 1.3M | 43% | 9 |
| #16 | 59% | People Vs Food | 85% | 12.7M | 19% | 3 |
| #17 | 58% | albert_cancook | 80% | 28.1M | 24% | 5 |
| #18 | 56% | Good Mythical Morning ▶ | 84% | 19.5M | 15% | 2 |
| #19 | 55% | FOODbible | 81% | 220K | 16% | 1 |
| #20 | 55% | Life as a Drama | 69% | 176K | 35% | 10 |
| #21 | 55% | ThatDudeCanCook | 77% | 2.5M | 21% | 2 |
| #22 | 54% | Men Try Videos ▶ | 79% | 462K | 16% | 1 |
| #23 | 54% | Smokin' & Grillin with AB | 77% | 3.7M | 19% | 3 |
| #24 | 53% | Cooking Con Claudia | 75% | 1.5M | 20% | 1 |
| #25 | 53% | BuzzFeed UK | 75% | 492K | 20% | 1 |
| #26 | 52% | Insider ▶ | 70% | 9.5M | 25% | 7 |
| #27 | 52% | Comedy Bites | 71% | 611K | 23% | 3 |
| #28 | 52% | Tommo Carroll | 65% | 1.4M | 31% | 5 |
| #29 | 51% | Caitlin Koi The Sequel | 71% | 2.0K | 23% | 6 |
| #30 | 50% | AllEars.net | 69% | 418K | 23% | 4 |
| #31 | 50% | Nick Anderson | 72% | 67.3K | 17% | 4 |
| #32 | 49% | WDW Prep School | 68% | 22.4K | 21% | 5 |
| #33 | 49% | REACT ▶ | 71% | 20.1M | 16% | 2 |
| #34 | 49% | Meat Church BBQ | 70% | 1.1M | 16% | 2 |
| #35 | 48% | CinemaSins | 68% | 9.2M | 19% | 5 |
| #36 | 48% | WhyIsKenYELLING | 70% | 3.8K | 15% | 2 |
| #37 | 47% | Nordic Scott | 68% | 239K | 16% | 1 |
| #38 | 47% | Axhol3Rose | 66% | 28.1K | 19% | 2 |
| #39 | 47% | Scene City | 68% | 3.2M | 16% | 1 |
| #40 | 47% | CinderBlocksally | 68% | 243K | 16% | 1 |
| #41 | 46% | Audio Video | 66% | 24.9K | 16% | 1 |
KarissaEats (87% match, 4.8M subscribers) and FutureCanoe (81% match, 4.7M subscribers) are Binging with Babish's biggest competitors. BigEats (80% match, 1.8M subscribers) is also in the top three. They share a focus on cooking/food content and similar audience interests in recipe videos and food entertainment.
Binging with Babish creates cooking-focused videos, as suggested by titles like 'The Foods of Arc Raiders | With Babish' and '5 Super Bowl Snacks for the WIN'. The channel appears to upload multiple times per week, with an average video view count around 985.8K per video.
We analyze Binging with Babish's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
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