AI Visibility Profile · Category · AI Research Assistants
Semantic Scholar AI Visibility in AI Research Assistants
Semantic Scholar ranks #2 of 19 in the AI Research Assistants AI visibility leaderboard with a 89.5 AI Index across 7 tracked AI engines. Use this page to compare AI search visibility, engine breakdowns, trend context, and nearby entities.
AI visibility answer
How Semantic Scholar appears in AI search
Semantic Scholar currently ranks #2 out of 19 in the AI Research Assistants AI visibility leaderboard with a 89.5 AI Index across 7 tracked AI engines. Use it as a direct answer for Semantic Scholar AI visibility, AI search ranking, and answer-engine benchmark questions.
The engine breakdown compares how MiniMax, Grok, and ChatGPT rank or mention Semantic Scholar, so the page separates broad AI search visibility from single-engine outliers.
Entity Snapshot
Semantic Scholar is currently #2 out of 19 entities in AI Research Assistants, with a 89.5 overall AI visibility score across 7 tracked engines. That position shows how often AI systems surface the brand when answering category comparison and recommendation prompts.
Semantic Scholar is currently #3 out of 19 AI Research Assistants entities, with a 89.8 AI Index in the latest public snapshot. Semantic Scholar trails Scite by 0.1 AI Index points. The strongest engine-level signal comes from DeepSeek, where Semantic Scholar records a 92 AI Index and 92% mention rate. Grok is the next strongest covered engine at 91.2 with a 90% mention rate.
The softer engine-level signal is gemini, where Semantic Scholar records a 87.9 AI Index and 88% mention rate. ChatGPT is another engine to watch at 88 with a 88% mention rate. Keep the scope narrow: this page measures how tracked AI engines surface Semantic Scholar in AI Research Assistants category prompts. It does not rank product quality, security, reliability, compliance, sales, or real-world usage.
Semantic Scholar's strongest current visibility comes from DeepSeek (92 AI Index, 92% mention rate) and Gemini (91.3 AI Index, 91% mention rate). Its weaker engine profile is Claude (86.1 AI Index, 85% mention rate) and Kimi (87.5 AI Index, 87% mention rate), so the engine spread points to where recommendation consistency can still improve.
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This public entity page is a neutral starting point. Use Tracker when you want private monitoring for Semantic Scholar or a competitor set.
Entity Trend
Semantic Scholar AI visibility trendSemantic Scholar 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.
Engine Breakdown
Comparable Entities
Elicit is the closest comparable entity by rank, with Semantic Scholar behind it by 1.7 AI Index points. This gap is useful for reading whether the page reflects a clear lead, a close contest, or a brand that needs stronger AI evidence to move up.
FAQ
Why is Semantic Scholar ranked in the AI Research Assistants leaderboard?
Semantic Scholar 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.
Which engines are strongest and weakest for Semantic Scholar?
The strongest current signal is DeepSeek at 92 AI Index and 92% mention rate. The softest covered signal is gemini at 87.9 AI Index and 88% mention rate.
Which entities should be compared with Semantic Scholar?
The most useful nearby comparison is Scite. Compare the score gap and engine-level table before treating rank movement as meaningful.
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.
Methodology and source context
AIvsRank calculates this public entity page from 7 tracked AI engines and the latest completed category leaderboard run for AI Research Assistants.
Use the score, mention-rate, engine breakdown, comparable entities, and trend context together; no single chart or paragraph should be read as the whole visibility signal.