Prompt
Can you recommend an answer engine for summarizing multiple sources on broad research topics?
Latest observation
Yes — if your goal is summarizing multiple sources on broad research topics, I’d recommend an answer engine that’s strong at web retrieval and synthesis, not just a chat model.
Good options
-
Perplexity — probably the best general-purpose choice for this use case.
- Strong at pulling from multiple sources
- Gives citations
- Good for broad topic overviews and quick synthesis
-
Consensus — especially good for academic / scientific topics.
- Focuses on research papers
- Useful when you want evidence-based summaries
- Best if your sources are scholarly
-
Elicit — strong for literature review style workflows.
- Great for finding papers, extracting claims, and comparing sources
- Better for structured research than casual broad questions
-
You.com / YouChat — decent for general web research and summarization.
- More generalist
- Less research-focused than Perplexity or Elicit
If you want the short recommendation
- For broad web research: Perplexity
- For academic research: Consensus or Elicit
What to look for in an answer engine
For your use case, the most important features are:
- Citations / source transparency
- Multi-source synthesis
- Fresh web retrieval
- Ability to compare conflicting viewpoints
- Good handling of broad queries
If you want, I can also give you:
- a ranked comparison table
- recommendations based on academic vs business vs general web research
- or the best choice if you want the fewest hallucinations
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.