Compare products, find current reviews, and make purchase decisions with live data
Perplexity aggregates current product information, pricing, reviews, and expert opinions from across the web — giving you a complete, up-to-date picture for any purchase or product decision. Unlike static comparison sites, every search retrieves the most current prices and reviews.
Consumers, procurement teams, business buyers, and anyone making technology or product purchase decisions
Specify what you're buying, your key requirements, use case, budget constraints, and any must-have or deal-breaker features.
Perplexity compares options across your specified dimensions with current information on pricing, features, and availability.
Follow up with "what do recent buyers say are the main pros and cons?" to get real user experience context beyond spec sheets.
"What is the best current price for [product] and are there any active promotions or discount codes?" often uncovers significant savings.
Evaluating SaaS tools for a business
Compare Figma, Sketch, and Adobe XD for a 10-person product design team. Focus on: collaboration features, pricing for teams, prototyping capabilities, developer handoff tools, and what the design community currently prefers in 2024.
Compare MacBook Pro M3 Pro vs Dell XPS 15 vs Lenovo ThinkPad X1 Carbon for a software developer. Include current prices, performance benchmarks for coding workloads, battery life, and what developers on Reddit and HackerNews are currently recommending.
Our 40-person team is evaluating Jira, Linear, and Shortcut. Compare their enterprise pricing tiers, integration ecosystems, performance at scale, and what engineering teams our size are saying about each in recent discussions.
"Best laptop for video editing" and "best laptop for software development" produce completely different recommendations even for the same price point. Always specify the primary use case.
"What is the main complaint buyers have about [product] after owning it for 6+ months?" surfaces the issues that don't appear in early reviews but matter for long-term satisfaction.
"Is this product likely to be discounted during [upcoming sale period]?" or "is a new version expected soon that would make buying now a mistake?" can save money or prevent buyer's remorse.
For SaaS and software tools: "What is the total annual cost including per-seat pricing, required add-ons, and typical implementation costs for a team of [size]?" reveals true cost beyond headline pricing.