[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"leaderboard-industry-packaging-containers":3},{"id":4,"slug":5,"nameCn":6,"nameEn":7,"collectionType":8,"description":9,"brandCount":10,"contentIntro":11,"contentSummary":12,"contentEngineNotes":13,"contentWhyItMatters":14,"seoTitleOverride":15,"seoDescriptionOverride":16,"faq":17,"engines":27,"overallRankings":56,"latestRuns":109,"liveInsights":192},111,"packaging-containers","包装与容器","Packaging&Containers","INDUSTRY",null,10,"Packaging&Containers recommendations can vary by engine and by prompt context. This leaderboard tracks which brands appear most consistently across 7 major AI engines and highlights where category visibility is concentrated.","Packaging&Containers leaderboard tracks how brands appear across 7 major AI engines. Rankings update as new completed runs become available, giving teams a baseline for measuring category visibility before engine-specific gaps emerge.","Use the engine tabs to compare how ChatGPT, gemini, Grok, and DeepSeek rank brands differently. Some engines reward category authority while others emphasize popularity, recency, regional evidence, or recommendation style, so individual rankings can diverge from the overall leaderboard.","AI answer engines increasingly shape how people shortlist Packaging&Containers brands before they ever click through to websites. Tracking this leaderboard helps teams understand category share of voice, spot leaders, and identify where engine-specific optimization may improve visibility. It is most useful when read alongside mention rate, score gaps, and engine-level outliers rather than as a single static ranking.","Packaging&Containers AI Rankings | AIvsRank Leaderboard","Compare Packaging&Containers AI rankings across major answer engines. Track visibility scores, mention rates, and fresh leaderboard changes on AIvsRank.",[18,21,24],{"question":19,"answer":20},"How is the Packaging&Containers leaderboard calculated?","Overall ranking combines the latest AI visibility signals across tracked engines for Packaging&Containers, including rank position, recommendation strength, and mention-rate patterns.",{"question":22,"answer":23},"Why can the current leader lead overall but differ by engine?","Each AI engine can prefer different brands, evidence, freshness, and recommendation patterns, so engine-specific rankings can diverge from the combined leaderboard.",{"question":25,"answer":26},"How often is this Packaging&Containers leaderboard updated?","This leaderboard updates whenever new completed runs are available for Packaging&Containers, with the latest refresh date shown on the page.",[28,32,36,40,44,48,53],{"id":29,"code":30,"slug":30,"displayName":31},1,"chatgpt","ChatGPT",{"id":33,"code":34,"slug":35,"displayName":35},3,"gemini-2.5-flash","gemini",{"id":37,"code":38,"slug":39,"displayName":38},4,"Grok","grok",{"id":41,"code":42,"slug":42,"displayName":43},2,"deepseek","DeepSeek",{"id":45,"code":46,"slug":47,"displayName":46},7,"MiniMax","minimax",{"id":49,"code":50,"slug":51,"displayName":52},9,"Qwen3.6","qwen","Qwen",{"id":10,"code":54,"slug":55,"displayName":54},"Kimi","kimi",[57,62,67,72,77,83,89,94,100,104],{"rank":29,"brandName":58,"brandSlug":59,"logoUrl":9,"websiteUrl":9,"compositeIndex":60,"mentionRate":61,"rankScore":9,"recommendStrength":9,"firstMentionRate":9,"mentionCount":9,"totalQuestions":9,"rankPosition":9},"Amcor","amcor",97,100,{"rank":41,"brandName":63,"brandSlug":64,"logoUrl":9,"websiteUrl":9,"compositeIndex":65,"mentionRate":66,"rankScore":9,"recommendStrength":9,"firstMentionRate":9,"mentionCount":9,"totalQuestions":9,"rankPosition":9},"Ball 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is the current #1 entity in Packaging&Containers with a 97 AI Index and 100% mention rate. This makes it the clearest public benchmark for how AI systems currently answer industry comparison prompts.","Ball Corporation is the nearest visible challenger at #2, trailing Amcor by 22.7 points. That gap is the first signal to inspect when deciding whether this leaderboard is leader-dominated or actively contested.","Berry Global rounds out the podium at #3. Comparing the top three against engine-level tabs helps separate broad recommendation consistency from single-engine strength.","The latest public snapshot refreshed on 2026-06-19, covering 7 tracked engines and 10 entities. Freshness matters because AI recommendations can shift as models, retrieval sources, and category evidence change.","Combined AI visibility across all tracked engines. Default view shows the top 10 entities."]