[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"leaderboard-brand-outdoor-apparel-columbia":3},{"industryId":4,"industrySlug":5,"industryName":6,"brandId":7,"brandName":8,"brandSlug":9,"overallScore":10,"industryRank":11,"brandCount":12,"enginesCovered":13,"lastUpdatedAt":14,"summary":15,"strengths":16,"weaknesses":17,"trendNotes":18,"seoTitle":19,"seoDescription":20,"faq":21,"engineBreakdowns":31,"competitors":58,"overallTrend":74},62,"outdoor-apparel","Outdoor Apparel",4833,"Columbia","columbia",32.77,9,30,5,"2026-04-19T00:17:19.871964","Columbia currently ranks #9 in the Outdoor Apparel leaderboard with an overall AI visibility score of 32.77. Its strongest recent performance appears in MiniMax.","Strongest visibility currently comes from MiniMax and Qwen.","Visibility is relatively weaker in Grok and DeepSeek, leaving room to improve recommendation consistency.","Columbia has softened in recent runs and may need attention on weaker engines.","Columbia AI Visibility in Outdoor Apparel | AIvsRank","See how Columbia ranks in the Outdoor Apparel leaderboard across major AI engines, including overall score, engine breakdowns, and visibility trend.",[22,25,28],{"question":23,"answer":24},"Why is Columbia ranked here?","Columbia is ranked using the current overall AI visibility score across tracked engines in Outdoor Apparel.",{"question":26,"answer":27},"Which engines mention Columbia most?","See the engine breakdown section for the latest per-engine visibility results.",{"question":29,"answer":30},"How often is this page updated?","The page updates whenever new completed leaderboard runs are available for this industry.",[32,39,43,48,55],{"engineCode":33,"engineName":34,"rank":35,"score":36,"mentionRate":37,"mentions":37,"runDate":38},"chatgpt","ChatGPT",10,29,0,"2026-04-19T00:11:10.345973",{"engineCode":40,"engineName":40,"rank":11,"score":41,"mentionRate":37,"mentions":37,"runDate":42},"Grok",28,"2026-04-19T00:13:50.328369",{"engineCode":44,"engineName":45,"rank":46,"score":41,"mentionRate":37,"mentions":37,"runDate":47},"deepseek","DeepSeek",8,"2026-04-19T00:15:30.014665",{"engineCode":49,"engineName":49,"rank":50,"score":51,"mentionRate":52,"mentions":53,"runDate":54},"MiniMax",7,39.43,28.57,2,"2026-04-19T00:16:47.393163",{"engineCode":56,"engineName":57,"rank":13,"score":51,"mentionRate":52,"mentions":53,"runDate":14},"Qwen3","Qwen",[59,64,69],{"brandName":60,"brandSlug":61,"rank":46,"overallScore":62,"scoreGap":63},"Mammut","mammut",35.66,-2.89,{"brandName":65,"brandSlug":66,"rank":35,"overallScore":67,"scoreGap":68},"Outdoor Research","outdoor-research",29.86,2.91,{"brandName":70,"brandSlug":71,"rank":50,"overallScore":72,"scoreGap":73},"Norrøna","norr-na",37.82,-5.05,[75,78,81,84,86,88,91,93,96,99,101],{"runDate":76,"overallScore":77},"2026-04-07T00:00:00",33.71,{"runDate":79,"overallScore":80},"2026-04-08T00:00:00",36.2,{"runDate":82,"overallScore":83},"2026-04-09T00:00:00",33.51,{"runDate":85,"overallScore":83},"2026-04-10T00:00:00",{"runDate":87,"overallScore":77},"2026-04-11T00:00:00",{"runDate":89,"overallScore":90},"2026-04-12T00:00:00",31.43,{"runDate":92,"overallScore":77},"2026-04-13T00:00:00",{"runDate":94,"overallScore":95},"2026-04-14T00:00:00",34.89,{"runDate":97,"overallScore":98},"2026-04-16T00:00:00",29.57,{"runDate":100,"overallScore":51},"2026-04-17T00:00:00",{"runDate":102,"overallScore":10},"2026-04-19T00:00:00"]