Perplexity has become one of the tools I use most at this point, and not just for deep research, but for day to day problem solving and basic browsing. It’s pretty much replaced Google search for me because my query can be as long and detailed as I want, and it gives me personalized responses. It’s an easy reach for comparing options, helping me make decisions, quick fact-checking, and sanity-checking things before I waste time going down the wrong path.
As with most AI tools, the more intentional you are with your prompts, the better the results will be. I’ve concocted a handful of go-to prompts that are repeatable and practical, and that still allow me to expand if I want to hone in on the specifics. They’re not clever or overcomplicated by any means, just structured in a way that gives me faster and better results. These are the Perplexity prompts I keep coming back to and why they work.
Comparing options
Making choices without drowning in reviews
I use this type of prompt when I have a decision to make but don’t want to sink hours into reviews and social media threads, or get confused by comparison tables that all say slightly different things. I turn to this prompt for any product I intend on using or buying, including software, subscriptions, gadgets, and pretty much anything else where I’m faced with multiple choices.
It helps me filter exactly what matters for my specific use case and surfaces practical differences fast. It forces the comparison to focus on things like cost, long-term benefits and downsides, and whatever other specifications I’m looking for. I find this especially useful when I already have some type of shortlist or wishlist and just need help choosing. And I adjust the prompt based on the products I’m comparing.
Prompt:
Compare these options for my use case: [Option A], [Option B], [Option C]. Rank them based on cost, ease-of-use, long-term downsides, potential trade-offs, and [insert more variables]
Recent findings and research
Checking the most relevant information before I trust anything
This is the prompt I use to make sure I’m not relying on outdated evidence. It comes up a lot with the psychology, health, and tech topics I’m interested in, where old advice and myths can stick around for decades even after newer research has complicated or contradicted it. Google Scholar can surface recent papers, but it mainly pushes the most relevant results even if they’re older.
This prompt is like a shortcut for a last-mile check. And I’m not asking for a full literature review - not that I’d understand it, anyway - I just want to know whether anything meaningful has changed recently and what the current consensus looks like. Beyond health and tech, I also adjust and use this prompt for things like design, economics, AI, and policy topics where timelines matter.
Prompt:
Summarize the most recent findings on [topic] from the past [x months/years]. Highlight any changes and updates in consensus compared to older sources, and highlight areas where disagreement still exists.
Making sense of conflicting information
Cutting through contradictory claims to avoid wasting time
A lot of times even well-sourced content can contradict itself. I’ll often see two articles on the exact same topic, and they’ll present different findings or recommendations. So, I just lean on Perplexity to help me get to the truth faster. It can reconcile conflicting information pretty quickly and figure out what matters most for my specific decisions or learning.
This prompt forces the AI to pull the specifics and compare them side-by-side, which lets me quickly see which points are well-supported, which are outdated, and which ones remain genuinely uncertain. I now only use this prompt after gathering the relevant sources because, unlike the ones above, it needs something concrete to analyze first. Gathering my sources before prompting for a comparison is admittedly a habit I should have started sooner.
Prompt:
Summarize the main arguments for and against [topic]. Highlight areas of agreement and disagreement, and provide the supporting evidence for each point. Then indicate which arguments are backed by the strongest evidence.
Translating jargon
Making complex topics understandable
One of the most useful things I use Perplexity for is for dumbing down complex topics. Many fields I like to read up on, such as psychology, AI, and finance, are full of technical terms that get thrown around without context. Even if I know the basics, a single paper can be packed with this terminology, and then I get lost.
Because Perplexity does a great job with long, complex prompts, I simply copy the text I’m having difficulty with and attach this prompt in front of it. I also like to export Perplexity's responses to my local note stack for further reading.
Prompt:
Summarize this and translate it into everyday words while keeping the meaning intact. Give an example of how it could be applied to [your field/project/etc] - [Insert text].
Making my life simpler with the help of Perplexity
Perplexity has long been more than just a research tool for me. It helps me make decisions faster, translates complex topics into plain language, and cuts through outdated and conflicting information fast. These prompts are lightweight and adjustable on purpose because I recycle them constantly for nearly every task I do in Perplexity.