We found 42 YouTube channels similar to Mercedes-AMG Petronas Formula One Team
High search overlap on queries like 'formula one team history' and 'F1 driver academy' indicates a shared audience with Mercedes AMG Petronas, and their content similarly covers team history and development programs, aligning with the brand's F1 ecosystem (search 100%, content 84%).
Both target F1 fans with interest in team history and race strategy; WTF1 shares audience from 'formula one team history' and 'F1 race strategy' searches, though their content style diverges from Mercedes AMG Petronas (search 6%, content 85%).
They attract viewers curious about F1 factory tours and driver lineups, mirroring Mercedes AMG Petronas' focus on car development and team composition (search 15%, content 78%).
F1 Academy targets the same development and driver progression topics, aligning with Mercedes AMG Petronas's interest in driver development pathways (search 13%, content 80%).
Competitor in the same F1 ecosystem with content on car design insights and development programs, appealing to audiences seeking technical F1 topics similar to Mercedes AMG Petronas (search 5%, content 85%).
Shares interest in F1 aerodynamics and race strategy, drawing an audience that looks for performance analysis akin to Mercedes AMG Petronas' technical content (search 9%, content 81%).
36 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 52% | Rick'sF1Addiction | 81% | 731K | 8% | 4 |
| #8 | 51% | DailyFuelUp | 80% | 327K | 8% | 9 |
| #9 | 50% | GPFans Global | 80% | 26.5K | 6% | 2 |
| #10 | 50% | Driver61 ▶ | 77% | 1.4M | 11% | 10 |
| #11 | 50% | Formula 1 Info | 82% | 3.4K | 2% | 1 |
| #12 | 50% | DanNoSkill | 81% | 255K | 2% | 2 |
| #13 | 50% | McLaren | 82% | 1.5M | 2% | 2 |
| #14 | 50% | P1 Extra | 78% | 99.1K | 7% | 2 |
| #15 | 49% | Kym Illman | 81% | 562K | 2% | 4 |
| #16 | 49% | F1 REVERSE | 81% | 88.3K | 1% | 2 |
| #17 | 49% | Aston Martin Aramco Formula One™ Team ▶ | 80% | 306K | 3% | 2 |
| #18 | 49% | revved up | 80% | 39.6K | 3% | 2 |
| #19 | 49% | BurnoutBios™ | 81% | 32K | 2% | 2 |
| #20 | 49% | Pole Position News | 81% | 1.6K | 2% | 1 |
| #21 | 49% | Atlassian Williams F1 Team | 80% | 577K | 2% | 2 |
| #22 | 49% | The F1 Explained | 78% | 22.9K | 5% | 4 |
| #23 | 49% | Formula Addict ▶ | 77% | 591K | 6% | 9 |
| #24 | 48% | AmongFly | 78% | 4.2K | 4% | 1 |
| #25 | 47% | Formula Insights | 77% | 14.1K | 3% | 1 |
| #26 | 47% | Peter Brook | 77% | 61.5K | 2% | 4 |
| #27 | 47% | Just Formulacar | 76% | 116K | 2% | 3 |
| #28 | 47% | Roman Hill | 76% | 24.3K | 2% | 2 |
| #29 | 46% | SamTalksF1 | 77% | 23.7K | 1% | 2 |
| #30 | 45% | McLaren Automotive | 74% | 382K | 3% | 1 |
| #31 | 45% | Red Bull | 74% | 27.6M | 2% | 3 |
| #32 | 45% | Ruth Buscombe | 74% | 13.2K | 2% | 1 |
| #33 | 45% | KYLE.ENGINEERS | 73% | 248K | 3% | 4 |
| #34 | 45% | CNBC International ▶ | 74% | 1.4M | 1% | 2 |
| #35 | 44% | Cleo Abram ▶ | 71% | 7.5M | 4% | 6 |
| #36 | 44% | Mercedes-Benz NL | 72% | 18.7K | 2% | 2 |
| #37 | 44% | Fe1ipe | 72% | 4.7K | 2% | 1 |
| #38 | 43% | Lorenzo Galano | 71% | 2.3K | 2% | 1 |
| #39 | 42% | Cars Garage | 68% | 1.4M | 2% | 2 |
| #40 | 40% | Amelia Dimoldenberg | 65% | 3.3M | 2% | 1 |
| #41 | 39% | GQ | 63% | 8.2M | 2% | 1 |
| #42 | 38% | Animagraffs ▶ | 62% | 1.8M | 2% | 4 |
FORMULA 1 — 90% match, 14.3M subscribers; WTF1 — 54% match, 1M subscribers; THE RACE — 53% match, 1.3M subscribers. These channels share a focus on Formula One news, analysis, and race coverage, catering to fans of F1 and motorsport.
Mercedes-AMG Petronas Formula One Team creates interview-style and factory/reveal content, car and team insights, and race-day coverage, as seen in titles like Toto Wolff like you've never seen him before! 🤣, Payton Westcott’s first visit to our F1 factory in Brackley, and George is how old?! 🤣 In Convo With Kids. Uploads appear to occur regularly with an average of about 85.2K views per video.
We analyze Mercedes-AMG Petronas Formula One Team'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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