We found 44 YouTube channels similar to Brian Lagerstrom
Both target home cooks seeking restaurant-quality results and chef techniques at home, with high search overlap on queries like home cooking techniques and restaurant quality home cooking, though Fallow's content style diverges from Lagerstrom's (81% content match).
Andy Cooks shares a focus on home cooking techniques and restaurant-quality home cooking, matching Lagerstrom on key queries, and has a strong content alignment in chef techniques for home cooking (88% content match, 69% search).
Epicurious and Lagerstrom both emphasize home cooking techniques and elevated meals, with substantial search overlap on the same queries, while Epicurious’ larger, recipe-driven style yields high content similarity (85% content match).
Like Lagerstrom, Joshua Weissman targets home cooks with home cooking techniques and elevated weeknight meals, showing solid search overlap (59%) and fairly aligned content (76% content match).
Parisi and Lagerstrom both focus on home cooking techniques and restaurant-quality home cooking, sharing targets for chef techniques, with a strong content resonance (84% content match) despite moderate search overlap (43%).
Ethan Chlebowski covers home cooking techniques and pan sauces for home cooks, aligning with Lagerstrom on core queries though his content emphasizes technique-driven recipes (80% content match; 38% search).
38 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 60% | Gordon Ramsay ▶ | 73% | 21.9M | 41% | 18 |
| #8 | 59% | America's Test Kitchen ▶ | 83% | 2.9M | 22% | 12 |
| #9 | 58% | Ian Fujimoto | 87% | 2.3M | 15% | 6 |
| #10 | 57% | LifebyMikeG ▶ | 84% | 5.2M | 16% | 13 |
| #11 | 56% | ThatDudeCanCook | 82% | 2.5M | 18% | 12 |
| #12 | 54% | Ben Goshawk | 86% | 110K | 7% | 3 |
| #13 | 53% | Steve | The Vivaldi Way | 84% | 947K | 6% | 2 |
| #14 | 52% | KWOOWK | 84% | 4.4M | 6% | 1 |
| #15 | 52% | Sara - Nutrient Matters | 82% | 2.1M | 6% | 4 |
| #16 | 51% | Kwokspots ▶ | 80% | 210K | 8% | 2 |
| #17 | 51% | Essen Recipes | 83% | 5.6M | 4% | 2 |
| #18 | 51% | How to Mealz | 82% | 79.9K | 6% | 1 |
| #19 | 51% | Lú Silva is Cooking! | 82% | 51.5K | 5% | 1 |
| #20 | 51% | Two Plaid Aprons | 78% | 602K | 11% | 6 |
| #21 | 50% | Binging with Babish ▶ | 76% | 10.5M | 12% | 9 |
| #22 | 50% | Danny Kim | 81% | 3.0M | 5% | 3 |
| #23 | 50% | Everyday Food | 80% | 1.7M | 6% | 1 |
| #24 | 50% | Jose.elcook | 78% | 4.3M | 8% | 6 |
| #25 | 50% | Martha Stewart | 81% | 1.2M | 4% | 2 |
| #26 | 50% | Prudent Reviews ▶ | 77% | 241K | 9% | 2 |
| #27 | 50% | Chef Jean-Pierre | 79% | 2.4M | 6% | 4 |
| #28 | 50% | Recipe30 | 80% | 1.6M | 4% | 2 |
| #29 | 49% | Munchies | 77% | 5.3M | 7% | 1 |
| #30 | 49% | Ahmad Noori | 77% | 1.0M | 6% | 3 |
| #31 | 48% | The Cooking Foodie | 77% | 3.3M | 5% | 1 |
| #32 | 48% | Charlie Anderson | 76% | 201K | 6% | 3 |
| #33 | 48% | Nick DiGiovanni | 76% | 34.4M | 6% | 4 |
| #34 | 48% | The Pizza Guy Jon | 76% | 13.1K | 6% | 1 |
| #35 | 48% | MOMables - Laura Fuentes | 76% | 235K | 5% | 2 |
| #36 | 47% | Doobydobap | 75% | 4.4M | 6% | 5 |
| #37 | 47% | Bon Appétit ▶ | 75% | 7.3M | 6% | 3 |
| #38 | 47% | Sorted Food | 74% | 2.9M | 6% | 3 |
| #39 | 47% | Adam Ragusea | 73% | 2.6M | 6% | 5 |
| #40 | 46% | Detroit 75 Kitchen | 74% | 505K | 5% | 3 |
| #41 | 45% | Food Network ▶ | 72% | 3.2M | 6% | 1 |
| #42 | 43% | PowerfulJRE | 63% | 20.8M | 12% | 5 |
| #43 | 42% | Yegi Beauty | 67% | 155K | 6% | 1 |
| #44 | 39% | GQ | 62% | 8.2M | 5% | 1 |
Fallow (89% match, 2.1M subscribers), Andy Cooks (80% match, 6.1M subscribers), Epicurious (75% match, 6.2M subscribers). All three channels produce food/cooking content and target home cooks, similar to Brian Lagerstrom's focus on recipes and cooking videos.
Brian Lagerstrom creates cooking and recipe videos, including topics like Chinese takeout at home, soups, breakfasts, and pan sauces. He uploads about 0.7 times per week and averages ~325.1K views per video.
We analyze Brian Lagerstrom '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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