How to choose: Best AI for Deep Research

How to choose in five steps

Work through these steps in order. Each one narrows the list, so you spend less time on tools that cannot meet the job.

1. Write the job in one sentence, such as sizing a market or checking a regulation.
2. List the sources that job depends on, such as SEC filings, government statistics, trial registries, paywalled reports or your own files.
3. Shortlist two or three tools that search those sources. Hyperresearch Deep, AlphaSense, Hebbia, Elicit and NotebookLM each cover a different mix.
4. Check how each tool shows its evidence. You should be able to open the cited passage behind each figure.
5. Check the data handling terms and team features before you upload client or confidential files.

Test it yourself with a pilot

Pick one question you already know the answer to, ideally a market figure or filing detail from your recent work. Run it through two tools with the same brief, then score each report.

1. Count the figures that match the source you check.
2. Count the citations that do not support the claim they are attached to.
3. Note whether the tool said when it could not find a source.
4. Time how long it took you to verify each report, including opening the sources.
5. Choose the tool with the fewest bad citations for your job, not the one with the longest report.

Ask a colleague to check two citations at random from each report, since a second reader catches misreadings the author misses. Keep the brief, the dates and the sources for each tool so you can rerun the pilot later.

The first Deep report from Hyperresearch is free, so you can run this pilot on one of your own questions at no cost.

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