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AI Research Assistants AI Rankings

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Current Champion

Elicit

AI Index 92.6

Podium Snapshot

#1 Elicit · #2 Scite · #3 Semantic Scholar

Latest Refresh

Apr 28, 2026

7 tracked engines and 19 entities in the latest public snapshot.

Industry Overview

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. The 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. Use 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. Scite 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. Semantic 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. The 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.

Why This Matters

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. Rank 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.

Current Ranking Takeaways

Elicit is the current #1 entity in AI Research Assistants with a 92.6 AI Index and 93.5% mention rate. This makes it the clearest public benchmark for how AI systems currently answer category comparison prompts.

Scite is the nearest visible challenger at #2, trailing Elicit by 2.8 points. That gap is the first signal to inspect when deciding whether this leaderboard is leader-dominated or actively contested.

Semantic Scholar 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 2026-04-28, covering 7 tracked engines and 19 entities. Freshness matters because AI recommendations can shift as models, retrieval sources, and category evidence change.

19

Entities

7

AI Engines

Apr 28, 2026

Last Updated

Leaderboard Podium

Open the leading entity pages in this category leaderboard

Overall Ranking

Overall

Combined AI visibility across all tracked engines. Default view shows the top 10 entities.

10 / 10 entities Apr 28, 2026
Sort
RankEntityAI IndexMention Rate
👑 #1
Elicit
92.6
93.5%
🥈 #2
Scite
89.9
89.5%
🥉 #3
Semantic Scholar
89.8
89.5%
#4
SciSpace
89.6
90.5%
#5
Consensus
87.3
87.3%
#6
Scopus AI
86.8
86.3%
#7
ResearchRabbit
85.8
85.2%
#8
85.4
84.8%
#9
Undermind
84.2
85.0%
#10
Keenious
82.9
82.3%

FAQ

How is this leaderboard calculated?

Overall ranking combines the latest AI visibility signals across tracked engines for this industry.

Why do rankings differ across engines?

Each AI engine can prefer different brands, evidence, and recommendation patterns, so engine-specific rankings can vary.

How often is this industry updated?

This industry page updates whenever new completed leaderboard runs are available.