[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"leaderboard-brand-ai-academic-research-assistants-scopus-ai":3,"leaderboard-industry-ai-academic-research-assistants":114},{"pageState":4,"canonicalPath":5,"industryId":6,"industrySlug":7,"industryName":8,"collectionType":9,"brandId":10,"brandName":11,"brandSlug":12,"logoUrl":13,"websiteUrl":14,"overallScore":15,"industryRank":16,"brandCount":17,"enginesCovered":18,"lastUpdatedAt":19,"summary":20,"strengths":21,"weaknesses":22,"trendNotes":23,"seoTitle":24,"seoDescription":25,"faq":26,"engineBreakdowns":39,"competitors":83,"overallTrend":100,"interactionSummary":101,"liveInsights":103,"qualification":105},"CURRENT","/leaderboard/ai-academic-research-assistants/brands/scopus-ai",78,"ai-academic-research-assistants","AI Research Assistants","CATEGORY",5773,"Scopus AI","scopus-ai","https://www.elsevier.com/images/elsevier-logo-orange.svg","https://www.elsevier.com/products/scopus/scopus-ai",87.54,5,19,7,"2026-08-12T06:11:29.370060Z","Scopus AI ranks #6 in the AI Research Assistants leaderboard with a 86.8 AI Index across 6 engines. Its strongest current signal comes from gemini, and the score should be read as AI visibility rather than product quality, adoption, revenue, or market share.","Scopus AI is currently #6 out of 19 AI Research Assistants entities, with a 86.8 AI Index in the latest public snapshot. Scopus AI trails Consensus by 0.4 AI Index points.\n\nThe strongest engine-level signal comes from gemini, where Scopus AI records a 91 AI Index and 91% mention rate. ChatGPT is the next strongest covered engine at 90 with a 91% mention rate.","The softer engine-level signal is Grok, where Scopus AI records a 81.9 AI Index and 80% mention rate. MiniMax is another engine to watch at 84.3 with a 84% mention rate.\n\nKeep the scope narrow: this page measures how tracked AI engines surface Scopus AI in AI Research Assistants category prompts. It does not rank product quality, security, reliability, compliance, sales, or real-world usage.","Scopus AI has limited historical movement in the current public payload. Use the latest AI Index, engine coverage, and mention-rate signals as the primary read until more completed runs are available.","Scopus AI AI Visibility in AI Research Assistants | AIvsRank","Review Scopus AI's AI visibility in AI Research Assistants: rank #6, 86.8 AI Index, covered engines, and current competitor gaps in the AIvsRank leaderboard.",[27,30,33,36],{"question":28,"answer":29},"Why is Scopus AI ranked in the AI Research Assistants leaderboard?","Scopus AI is included because tracked AI engines surface it in AI Research Assistants prompts, and AIvsRank calculates its current visibility from rank position, recommendation strength, and mention-rate signals.",{"question":31,"answer":32},"Which engines are strongest and weakest for Scopus AI?","The strongest current signal is gemini at 91 AI Index and 91% mention rate. The softest covered signal is Grok at 81.9 AI Index and 80% mention rate.",{"question":34,"answer":35},"Which entities should be compared with Scopus AI?","The most useful nearby comparison is Consensus. Compare the score gap and engine-level table before treating rank movement as meaningful.",{"question":37,"answer":38},"How often is this page updated?","This page updates when a new completed AI Research Assistants leaderboard run is available. The current public snapshot was refreshed on 2026-04-28.",[40,46,53,60,67,73,78],{"engineCode":41,"engineName":41,"rank":16,"score":42,"mentionRate":43,"mentions":44,"runDate":45},"MiniMax",84.25,84,0,"2026-04-28T05:51:17.067268Z",{"engineCode":47,"engineName":48,"rank":49,"score":50,"mentionRate":51,"mentions":44,"runDate":52},"grok-4-7-videofree","Grok 4.7 via VideoFree",6,88.35,88,"2026-08-12T06:11:14.521314Z",{"engineCode":54,"engineName":55,"rank":56,"score":57,"mentionRate":58,"mentions":44,"runDate":59},"chatgpt","ChatGPT",1,90.8,91,"2026-08-12T06:11:18.217566Z",{"engineCode":61,"engineName":62,"rank":63,"score":64,"mentionRate":65,"mentions":44,"runDate":66},"gemini-3-5-flash-lite-openrouter","Gemini 3.5 Flash-Lite via OpenRouter",3,90.95,90,"2026-08-12T06:11:21.927461Z",{"engineCode":68,"engineName":69,"rank":18,"score":70,"mentionRate":71,"mentions":44,"runDate":72},"claude-haiku-4-5-openrouter","Claude Haiku 4.5 via OpenRouter",83.75,83,"2026-08-12T06:11:25.785732Z",{"engineCode":74,"engineName":75,"rank":49,"score":76,"mentionRate":77,"mentions":44,"runDate":19},"kimi-k2-7-code-openrouter","Kimi K2.7 Code via OpenRouter",85.45,85,{"engineCode":79,"engineName":80,"rank":49,"score":81,"mentionRate":51,"mentions":44,"runDate":82},"deepseek-v4-flash-bailian","DeepSeek V4 Flash via Bailian",89.25,"2026-04-28T05:51:17.377999Z",[84,90,95],{"brandName":85,"brandSlug":86,"rank":87,"overallScore":88,"scoreGap":89},"SciSpace","scispace",4,88.12,-0.58,{"brandName":91,"brandSlug":92,"rank":49,"overallScore":93,"scoreGap":94},"ResearchRabbit","researchrabbit",86.87,0.67,{"brandName":96,"brandSlug":97,"rank":63,"overallScore":98,"scoreGap":99},"Scite","scite",88.45,-0.91,[],{"upvoteCount":44,"followCount":44,"isUpvoted":102,"isFollowed":102},false,{"rankInterpretation":104,"engineDivergenceInterpretation":104,"competitorGapInterpretation":104,"trendInterpretation":104},"",{"state":106,"indexable":107,"sitemapEligible":107,"linkEligible":107,"contentCompleteness":108,"reasonCodes":109,"dataAsOf":112,"freshUntil":113,"lastModifiedAt":112},"current",true,"complete",[110,111],"historical_accepted_path_preserved","retained_accepted_lkg","2026-08-25T10:58:58.437Z","2026-09-24T10:58:58.437Z",{"id":6,"slug":7,"nameCn":115,"nameEn":8,"collectionType":9,"qualification":116,"brandCount":17,"contentIntro":118,"contentSummary":119,"contentEngineNotes":120,"contentWhyItMatters":121,"seoTitleOverride":122,"seoDescriptionOverride":123,"faq":124,"engines":134,"overallRankings":164,"publishedBrandLinks":295,"latestRuns":315,"liveInsights":461},"AI学术研究助手",{"state":106,"indexable":107,"sitemapEligible":107,"linkEligible":107,"contentCompleteness":108,"reasonCodes":117,"dataAsOf":112,"freshUntil":113,"lastModifiedAt":112},[110,111],"AI Research Assistants tracks which products are most consistently surfaced by AI answer engines in this category. In the latest public snapshot, Elicit, Scite, and Semantic Scholar lead the overall ranking across 8 engines.\n\nThe overall AI Index combines ranking strength and mention-rate signals. Elicit ranks #1 with a 92.6 AI Index and 93.5% mention rate, leading Scite by 2.8 points.\n\nUse the engine tabs to see where that position comes from. The overall view shows the combined category ranking, while engine-level views show whether a product is broadly visible or depends on strength in only a few answer systems.","Elicit is the current #1 entity in AI Research Assistants, with a 92.6 AI Index and 93.5% mention rate. Within this public leaderboard snapshot, it is the clearest benchmark for how tracked AI systems answer AI Research Assistants comparison prompts.\n\nScite ranks #2 and trails Elicit by 2.8 AI Index points. That gap is the first number to check when deciding whether the top of the category is leader-dominated or closely contested.\n\nSemantic Scholar ranks #3 and completes the current podium. Comparing the top three across individual engine tabs helps separate broad recommendation consistency from single-engine strength.\n\nThe latest public snapshot refreshed on 2026-04-28, covering 8 engines and 19 entities. Freshness matters because AI recommendations can shift as models, retrieval sources, prompts, and category evidence change.","Use the engine tabs to compare how ChatGPT, gemini, Grok, and Claude rank brands differently. Some engines reward category authority while others emphasize popularity or recommendation style, so individual rankings can diverge from the overall leaderboard.","The overall ranking gives a fast read on which products AI systems currently surface most often for AI Research Assistants prompts. The engine tabs add the important detail: they show where visibility is broad, uneven, or concentrated in one answer system.\n\nRank alone is not enough. Mention rate, score gaps, refresh date, and engine-level outliers help show whether a product's position looks durable or depends on a narrower set of prompts and engines. Read this page as AI visibility evidence, not as a product-quality, compliance, safety, or market-share ranking.","AI Research Assistants AI Rankings | AIvsRank Leaderboard","See which brands AI engines recommend most in the AI Research Assistants category. Compare rankings, mention rates, and AI visibility across major AI engines.",[125,128,131],{"question":126,"answer":127},"How is this leaderboard calculated?","Overall ranking combines the latest AI visibility signals across tracked engines for this industry.",{"question":129,"answer":130},"Why do rankings differ across engines?","Each AI engine can prefer different brands, evidence, and recommendation patterns, so engine-specific rankings can vary.",{"question":132,"answer":133},"How often is this industry updated?","This industry page updates whenever new completed leaderboard runs are 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