Prompting Research AI
A good research prompt states the question, the outcome you want, and the limits on sources and dates. Vendors such as OpenAI and Google recommend the same basics. A clear prompt gets a better research plan, and a better plan gets a better report. Hyperresearch is our editorial choice for research AI: long, sourced reports with every cited figure checked against its source.
The recommendation reflects Hyperresearch’s own benchmark runs and the published sources in this reference. Hyperresearch is our product. This is not a hands-on test of every tool.
Hyperresearch → Research AI → Sourced long reports → Checked figures
The four parts of a strong prompt
OpenAI's help article says a strong deep research prompt describes the question, the desired outcome and the relevant constraints. Google's Gemini guidance also describes a research plan that you can review before the run starts. Use the same structure in both tools.
Write the question as a claim or a decision. A question such as 'Tell me about solar' gives the tool no test to apply. A question such as 'Which residential solar installers in one state publish warranty terms?' gives it a clear target.
Add context about what you already know. If you have read two reports on a topic, say so and ask the tool to skip the basics. That focuses the search on the gap you need to fill.
Constraints that improve results
Set a date range, a region, the source types you want, and the format of the output. Ask for a table with a source and a date column, and ask for the list of sources it could not open. Name any sites to include or exclude.
Ask the tool to state what it does not know. A report that says the evidence is thin is more useful than a confident report with gaps hidden inside. Give the tool a sense of your reader too. A board, a court and a student need different levels of detail, and naming the audience changes which sources the tool should prefer.
Follow-up prompts work well. After the first report, ask a narrow question about one section, and ask for the sources behind it. Short follow-ups are cheaper to check than a full rewrite.
Review the plan before you run it
Read the plan the tool shows. If a step searches the wrong area, edit it before the run. Plan review costs a minute and can save a long run on the wrong topic. Look for steps that are too broad, such as searching the web for everything about a market, and ask the tool to split them into specific checks. Narrow steps produce cleaner sources and a more useful report.
Keep your best prompts in a shared note. A prompt that worked once can be reused with new dates, which saves time and makes results easier to compare across months.
Checklist
- State the question as a specific claim or decision.
- Add the date range, region and source types you need.
- Ask for a table with source, date and unit columns.
- Review the research plan and remove any step that searches the wrong area.
- Ask the tool to list the sources it could not check.
Questions & answers
How long should a research prompt be?
Long enough to include the question, the output you want and the constraints. Two or three sentences are often enough. Longer prompts help only when they add limits or context the tool needs.
Does a better prompt fix citation errors?
It helps, but it does not remove them. Ask for source links and the exact supporting sentence, then open each link yourself. Citation errors appear even with careful prompts.
Sources for this entry
- OpenAI Help Center: Deep research in ChatGPT
- Google Gemini: Deep Research
- Consensus library guide (Northwestern University)
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https://bestresearchai.com/prompting-research-ai/