| Feature | Connected Papers | Semantic Scholar |
|---|---|---|
| Free Plan | ✓ Yes | ✓ Yes |
| Pricing | Free / $3/mo | Free |
| Rating | ★★★★☆ 4.2 | ★★★★☆ 4.4 |
| Key Feature 1 | Visual paper graph | Academic search |
| Key Feature 2 | Citation mapping | Citation graph |
| Key Feature 3 | Prior works view | TLDR summaries |
Reach buyers comparing Connected Papers and Semantic Scholar. High-intent traffic, direct conversions.
Connected Papers creates interactive visual graphs of academic literature that map how papers cite and relate to each other, helping researchers discover relevant work they might otherwise miss. Resea
Semantic Scholar is a free AI-powered academic search engine from the Allen Institute for AI that uses machine learning to surface the most influential papers, identify hidden connections between rese
• Visual paper graph is a capability competitors haven't matched yet
• Very affordable — especially for visual paper graph workflows where Connected Papers consistently outperforms manual approaches
• Limited to one graph on free
• Slow to update new papers — can be a bottleneck during high-traffic periods or when processing large batches
• Free and comprehensive — especially for academic search workflows where Semantic Scholar consistently outperforms manual approaches
• AI-generated TLDRs — especially for academic search workflows where Semantic Scholar consistently outperforms manual approaches
• No synthesis like Elicit — worth evaluating before committing if this is central to your use case
• Less intuitive than Consensus — worth evaluating before committing if this is central to your use case