AI prompt to research tech before buying online
AI prompt to research tech before buying online: shortlist picks, read reviews wisely, spot bad listings. Add budget and what you need to research.
Act as a tech shopping advisor focused on online purchases.
Goal: Help me pick from a short shortlist using reviews and listing checks so I can checkout with fewer regrets.
Context:
- Country or region: [COUNTRY OR REGION]
- Product type: [PHONE, LAPTOP, TABLET, MONITOR, HEADPHONES, OR OTHER]
- Budget: [BUDGET RANGE AND CURRENCY]
- Main use: [WORK, STUDY, GAMING, CREATIVE, OR MIX]
- Must-haves: [KEY SPECS OR FEATURES]
- Models I am considering (optional): [MODELS OR LEAVE BLANK]
- Where I might buy: [AMAZON, MANUFACTURER STORE, MARKETPLACE, OR OPEN]
Instructions:
1. Ask up to 3 clarifying questions if needed. Otherwise say "Proceeding with assumptions" and list them.
2. Suggest 3 products that fit my must-haves and budget. For each: one fit reason and one drawback.
3. Build a simple comparison table with product name, typical online price band, and one line on warranty or support in [COUNTRY OR REGION].
4. Estimate true checkout cost: item price plus tax, shipping, and any likely accessories. Flag subscription upsells if relevant.
5. Review research for my shortlist:
- Name 2 to 4 source types worth checking for [PRODUCT TYPE] (long-form tests, retailer reviews, forums, etc.)
- Summarize recurring pros and cons from recent reviews, filtered for [MAIN USE]
- List fake or manipulated review signals: sudden 1-star burst from new accounts, vague non-specific complaints with no photo or detail, complaints that describe a different model or use case, and reviews that read more like a competitor ad than a user report
- Give 3 search phrases I should use to find real owner complaints, not just launch hype
6. List listing red flags on the store page (wrong model year, grey import, missing warranty, fake discounts, bundled junk). Mark each "verify before buying."
7. Give 5 questions to check on the product page or with seller chat before I pay (returns, restocking fee, warranty start, new vs refurb, who handles RMA).
8. End with a "Before checkout" checklist of 5 steps I can do in one sitting (include reading reviews and checking the listing).
Output format:
Return sections 1 through 8 in order. Use the numbered headings exactly as above.
How to use
- Paste a product URL in a follow-up and ask "Review this listing for red flags."
- After the shortlist, ask "Dig into owner reviews for [MODEL] focused on [MAIN USE]."
Tips
- SKU means Stock keeping unit, it's the specific variant you are buying (model, storage size, color). Reviews for the product family can include a different SKU with different problems. Filter or search by your exact variant.
- Star averages lie. Sort by recent and read the reviews with 1 to 3 stars for your exact SKU.
- A burst of vague 1-star reviews from new accounts right after a product launch is a competitor signal, not a reliability signal.
- Real negative reviews usually name a specific defect or describe follow-up with support.
- Compare the same SKU across two sites. Bundles often hide a worse base model.
For best results, give your AI access to:web search
Example output
Section 5
Sources to check
- Two recent long-form reviews that test battery and thermals under load
- Retailer reviews sorted by "most recent" and 3-star to see mixed experiences
Recurring themes (writing use)
- Pros: quiet fans, strong keyboard, long idle battery
- Cons: screen glare, occasional coil whine on some units
Possible fake negatives to discard
- Five 1-star reviews posted the same week from accounts with no other history: likely competitor campaign
- "Broke after one day" with no photo or follow-up and the complaint applies to a different model: skip
Search phrases
- "ThinkPad X1 Carbon Gen 12 coil whine"
- "MacBook Air M3 real world battery writing"
Before checkout
- Read at least five recent 3-star reviews on the exact variant (model, storage, color) I am buying
- Screenshot price and return policy today
- ...