We asked 4 AI models to recommend the Semantic Scholar features. Here's what GPT-4.1, Gemini, Grok, and Llama agree on.
🏆 AI Consensus Winner: Semantic Scholar Search — recommended by 1/4 models
🔴 AI Confidence: LOW — no clear winner
AI Consensus
These products were recommended by multiple AI models:
- Paper Recommendations
- Citation Graphs
- Semantic Reader
What Each AI Recommends
| Rank | GPT-4.1 | Gemini | Grok | Llama |
|---|---|---|---|---|
| 1 | Semantic Scholar Search | Semantic Scholar Academic Graph | Semantic Search | Citation Count |
| 2 | Paper Recommendations | Semantic Reader | Paper Recommendations | Author Disambiguation |
| 3 | Citation Graphs | Research Feeds | TL;DR Summaries | Paper Summarization |
| 4 | Research Trends | Author Pages | Citation Graphs | Related Paper Recommendation |
| 5 | Author Profiles | Citation Explorer | Semantic Reader | Cited References |
Best For Your Needs
- Best overall: Paper Recommendations
- Best free option: Citation Graphs
- Best for small teams: Semantic Reader
- Best for enterprises: Paper Recommendations
Methodology
We asked each AI model: "What are the Semantic Scholar Features? List your top 5 recommendations."
Models used: GPT-4.1 Nano (OpenAI), Gemini 2.5 Flash (Google), Grok 4.1 Fast (xAI), Llama 4 Scout (Meta). No web search was enabled — these are pure AI opinions based on training data.
The "AI Consensus" shows products mentioned by 2 or more models. The winner is the product that appears most frequently in the #1 position.