Elicit vs Perplexity

Option A

Elicit

Paper search and extraction tables for people running something like a systematic review.

Best for

• Evidence tables, not vibes
• Researchers who will write inclusion criteria
• People extracting outcomes across a paper set

Strengths

• Forces the work into a table you can audit
• Closer to review practice than a chatbot

Trade-offs

• Garbage criteria produce garbage grids
• You still have to read the papers you will cite

Verdict

Elicit belongs on a research desk when the deliverable is a screened set of papers plus extracted fields. It does not belong there when you wanted a cited news brief or a chat with one PDF. Consensus, SciSpace, Scite, and the graph tools each own a different slice of the same afternoon. Keep Elicit for the table. Confirm extraction quality on two papers you already know before you trust a 40-row export. If you will not write inclusion criteria, you will not get a systematic review — you will get a sorted hallucination.

Option B

Perplexity

Question to a cited sketch of the web. Open two sources before you believe it.

Best for

• Narrow web questions that need links
• First sketches of a topic you will verify
• People who will open citations

Strengths

• Links next to the claim
• Fast sketch if you verify

Trade-offs

• Still wrong with a footnote
• Easy to stop at the summary

Verdict

Perplexity is the default cited-web sketch. You.com stays only if it wins your bake-off. Elicit, Consensus, and NotebookLM own other corpora. Use it to find what to read, then read. Do not paste a Perplexity paragraph into a filing. Re-run important queries when the news moves — yesterday’s citations are not a briefing. Confirm which mode you are in before you blame the product. Open two links or do not quote the answer. That rule sounds childish until the first time a confident footnote points at a page that does not say the thing. Perplexity is a sketch. You still ink it.