Questions & answers

Start with the output you need. For a sourced report on a business or public-data question, Hyperresearch is our editorial pick, since it scored 77.7 on DRACO in its own October 2026 run. For a quick answer with links, Perplexity is simpler. Try two tools on one question you already know, then keep the one whose sources you could check quickly.

AI search gives a short, fast summary with links, which suits a simple question. Deep research plans the question, reads many sources, and writes a longer report with citations. Deep research takes longer and can use more compute. Use search for quick facts and deep research when the answer needs several sources compared.

Hyperresearch is our editorial pick for market research. It searches the open web plus 90+ structured sources, including SEC EDGAR and Census, and checks cited figures before delivery. Its DRACO score was 77.7 in its own run, against 73.0 for Claude Research. For paywalled finance content, a specialist finance research tool is a better fit.

No. A research AI can gather sources, draft a structured report and check many figures quickly. It cannot know what your decision needs, and it can misread a source or merge findings that do not belong together. Use it to speed up reading and drafting, then have a person review the conclusions, the sources and the assumptions before anyone acts.

Yes, with some tools. ChatGPT deep research can use uploaded files as sources, according to OpenAI's help page, and you can set which sources it may access. Google NotebookLM answers from the sources you add, which suits a set of reports or notes. Check each tool's data retention and training settings before uploading anything sensitive.

They can. A model may state a claim that no source supports, or cite a page that says something different. Tools that retrieve passages first and check quotes against their pages make errors easier to catch, but they do not remove them. Ask each tool how it handles citations, then verify the claims that carry weight in your work.

Match the tool to the question. For what studies report on a scientific question, Consensus retrieves papers and summarizes them. For a systematic review, Elicit supports the screening and extraction steps. For a broad report that mixes science with public statistics, Hyperresearch Deep is our pick. Test each one on a question you already know, and read the paper behind any claim you plan to use.

It is worth a test if your work lives in Google Workspace. Gemini Deep Research drafts a plan you can approve, can search Gmail, Drive and Chat when you allow it, and exports reports to Google Docs. Access and limits differ by plan and change over time, so check Google's plan page before you commit. For fact-heavy market reports, Hyperresearch Deep is our editorial pick.

A benchmark score is a useful signal, not a verdict. It shows how a tool performed on one task set, with one judge, in one run. Hyperresearch scored 77.7 on DRACO in its own October 2026 run. Read the method, check the sample size, and then test the tool on the kinds of questions you actually ask.

Pick three claims that matter most to your decision. Open each cited source and find the sentence or figure it supports. Check the date and the scope, since a figure can be right for the wrong year or region. If a claim is not in the source, treat the whole section with caution and ask the tool to fix it.

Some are. The first Deep report from Hyperresearch is free. Other tools offer free tiers, but their limits change, so check the pricing page for the tool you plan to use. Claude Research needs a paid Claude plan, according to Anthropic's help center. Plan your trial around the limits you will hit on a real question, not the headline price.

For long, sourced reports, Hyperresearch is our editorial pick. It plans the question, researches it chapter by chapter, writes the report in one pass, and checks cited figures. Claude Research is the runner-up on DRACO. ChatGPT deep research suits people who want to edit the plan before the run starts.