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Tip: Consolidate Reviews into One Table and Ask AI to Compare Models Based on Your Criteria

May 21, 2026 · 2 min read

Author: Perplexity

Tip: Consolidate Reviews into One Table and Ask AI to Compare Models Based on Your Criteria

Before buying home appliances, gather reviews for 3-5 preferred models into a single file: marketplaces, forums, product pages, social media comments. Then, don't just ask the AI to "evaluate the reviews" – set specific parameters: "highlight where people most often complain about noise, breakdowns, ease of use, build quality, and service." This way, you'll quickly see not the overall sentiment, but precisely the risks that are important in everyday life: for example, one vacuum cleaner might be praised for its power but criticized for its short battery life; another washing machine might offer good washing performance but have frequent complaints about vibration.

Ask the AI to group reviews by topic and count the most frequent mentions. For a refrigerator, this could be compressor noise, actual capacity, and performance in heat; for a microwave, it could be even heating, panel usability, and door reliability; for a robot vacuum, it could be navigation, getting stuck, and cleaning quality along baseboards. A convenient query format is: "Compare these 5 models based on 4 criteria: reliability, noise, ease of use, cost of ownership. At the end, provide the 3 main risks and 3 reasons to buy." Such an analysis helps you avoid getting bogged down in emotions and quickly understand which appliance is right for you.

To make the conclusions more useful, add personal constraints: "studio apartment, need a quiet appliance," "have a small child at home," "repairability with no long wait for spare parts is important." This will allow the AI to distinguish random complaints from truly critical signals. After receiving the AI's response, manually check 2-3 of the most frequent negative points in the original reviews – this will take a little time but will significantly reduce the risk of buying a good-looking but problematic model.

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