Questions & answers

Hyperresearch is our editorial pick for AI research, and its DRACO score of 77.7 leads the October 2026 run, though that run is its own. For academic papers specifically, Elicit and Consensus are built around paper search, Scite shows how later papers cite a work, and Semantic Scholar is free to search. Choose by the job, then test two tools on one of your questions.

A regular chatbot usually answers in one pass from what it already knows, with or without a search. A deep research tool plans sub-questions, runs many searches, reads the sources and writes a long report with citations. The longer process can produce more complete work, but the report still needs checking against its sources.

Not without checking. Studies of general chatbots found many references that were wrong or made up, and newer research tools are not exempt from that risk. Open each link, find the passage the claim relies on, and confirm the year, authors and title. Spend your time on the claims that matter most to your decision.

DRACO is a research benchmark built by Perplexity and Harvard. It uses 10 tasks across several domains, scored by a judge. The October 2026 scores on Hyperresearch's method page show Hyperresearch Deep at 77.7 and Claude Research (Opus) at 73.0. Those scores come from Hyperresearch's own run, so read the method page before you weigh them.

Perplexity is a strong general search tool and offers a deep research mode. In the DRACO table on Hyperresearch's method page, Perplexity Deep Research scored 57.8 on 8 of 10 tasks. For academic papers, Elicit or Consensus may suit you better, and for business data, a tool that searches filings and official statistics is a better fit.

Elicit has a free Basic plan that the vendor describes as for casual exploration. Its limits apply to the research agent and research reports, and the page does not state a specific cap. The Pro plan is listed at $49 a month, or $588 billed yearly. Check the current limits on the Elicit pricing page before you plan a project.

Scite uses Smart Citations to show whether citing studies support or contradict a claim. That helps you judge a paper beyond its own abstract. Its vendor page lists a Basic plan at $12 a month and a Pro plan at $40 a month, billed yearly, with a 7-day free trial. There is no free plan listed, so test the trial before you commit.

Semantic Scholar is free to search, and most of its API endpoints are available without signing in. Its API page lists a shared limit of 1,000 requests per second for unauthenticated users and warns of throttling during heavy use. The API covers authors, papers, citations and venues, and the page cites 214 million papers in its corpus.

NotebookLM works best on the sources you add yourself, such as papers, reports or notes you already have. It suits questions about your own files, where the answer should come from documents you control. For questions that need new sources from the open web or from public databases, use a research tool that searches those sources directly.

Yes. Research is not included on Claude's Free plan. The Pro plan is listed at $17 a month billed yearly, or $20 billed monthly, and the Max plan at $100 a month. Claude Research scored 73.0 in Hyperresearch's October 2026 DRACO run, the runner-up behind its own tool.

No. A systematic review needs a written protocol, clear inclusion rules and screening by people who record their decisions. AI can help draft search strings, sort results and flag likely matches. Its screening decisions should be checked against human decisions, and most journals expect the review team to take responsibility for the final list.

Search the exact title in Google Scholar or Crossref. Confirm that the authors, year and journal match the reference. Open the page or paper and find the passage that supports the claim. If you cannot find the title or the passage, treat the citation as invented and remove it, even if the reference looks complete.