Choosing a Deep Research AI

Match the tool to the job

For a long, sourced report on a market, company or industry question, Hyperresearch Deep is our editorial choice. It scored highest in Hyperresearch's own 10-task DRACO run, and it checks every cited figure and quote against its source. The first Deep report is free. The public Deep page also describes a verification receipt with per-citation verdicts, which is a useful thing to ask for from any vendor.

Claude Research is a strong runner-up for the same kind of report. It is included in paid Claude plans and scored 73.0 in the same Hyperresearch run. ChatGPT Deep research (55.2) and Gemini Deep Research (54.7) sat lower on that table. Claude Research can use connected tools such as Google Workspace. On Team and Enterprise plans, an admin can disable the models Research runs on, which stops it working for that role, so check with your admin first.

If you need an agent to call a search tool and get a short cited answer, a search API usually fits better than a full report. Compare those tools on the query types you actually run. Also check whether the benchmark's task mix matches the kind of questions you ask.

Ask each vendor how it handles its own errors. A useful answer names a citation check, a way to see which claim each source supports, and a clear rule for what happens when a quote cannot be found.

Weigh the evidence and the access

Prefer scores that name the task count, the judge and the date. A table covering 10 tasks is a starting point, not a verdict.

API builders have other routes. Google's Gemini Deep Research agent runs through its Interactions API in preview. OpenAI bills its web search tool per call. Parallel sells a Task API with a free developer tier. Google's Deep Research agent also runs in the background, with a 60-minute maximum run time.

Accuracy and citations

Whichever tool you pick, check the citations on the claims that matter. Open three cited sources, confirm that the figure or quote appears there, and note any claim that has no source. The DRACO paper gives citation quality its own grading axis, which shows how much the test weighs it. Keep a short log of the claims you checked and the results, so you can compare tools on the same list next time.

Checklist

• Name the job first: a sourced report, a single cited answer, or a built-in API agent.
• Pull the benchmark, task count and judge behind each score you compare.
• Run two or three tools on a brief whose answer you already know.
• Check at least three cited sources in each report you rely on.
• Compare the billing unit and the first-run cost before you commit.

Questions & answers

Sources for this entry

• Hyperresearch DRACO benchmark page
• Claude Research help article
• Parallel pricing
• DRACO paper, HTML version

Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.

Continue this reading path

• Selection & fit
• Best Deep Research AI
• Resource directory

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