FRI, SEPTEMBER 18, 2026
Independent · In‑Depth · Practitioner‑Tested
Claude General

Recommendation Prompts: 6 for Checking Whether the Answer Is Actually Yours

ChatGPT is adding Sponsored Agents, where clicking an ad opens a labelled conversation with a business. Labelling solves the obvious problem and not the harder one — whether the unsponsored answer changes because sponsorship exists. These six prompts are for getting a recommendation you can trust, from any assistant, regardless of how it is funded.

⌨️ 6 prompts 🕐 Updated Sep 18, 2026
💡 How to use these prompts: Replace everything in [BRACKETS] with your specific details before sending. Click Copy to copy any prompt to your clipboard instantly.
1
Ask for the case against your shortlist
Asking who a product is wrong for surfaces more than asking what is wrong with it.
I am choosing between: [LIST THE OPTIONS]

For each one, tell me who it is wrong for and why. Not the weaknesses in general - the specific person who would regret buying it.

Then tell me which of those descriptions sounds most like me based on what I have told you.
2
Make it name what it does not know
Recommendations age badly. Pricing and limits are the first things to go stale.
You recommended: [PASTE]

Tell me:
- What you know about this from documentation versus general reputation
- When your information about it is from
- What could have changed since
- What you would check before relying on this

If pricing or features are involved, say plainly that they change often.
3
Force a recommendation you did not expect
The obvious answer is obvious because it is marketed well. This surfaces the alternative.
Give me your recommendation for: [DESCRIBE THE NEED]

Then give me the option most people in my position overlook, and explain why it gets overlooked.

If the overlooked one is actually better for me, say so.
4
Separate the popular from the suitable
The most-recommended tool is often the best-funded one, which is a different thing.
For this need: [DESCRIBE], tell me:
- What most people choose
- What an expert in this area would choose
- Whether those differ, and why
- Which one fits my situation

Do not assume popular means correct.
5
Cross-check one assistant against another
Two assistants with different funding models disagreeing is more informative than either alone.
Here is a recommendation I got from a different AI assistant: [PASTE]

Assess it. Where do you agree, where would you differ, and what did it leave out?

Be specific about disagreements rather than diplomatically endorsing it.
6
Ask what would change the answer
Knowing what would change the answer tells you how much the answer depends on what you said.
You recommended [X] for [MY SITUATION].

What would have to be true about my situation for a different option to win? Give me the three facts that would flip it.

If none would, say the recommendation is robust and why.