I used to think Perplexity was just a fancier Google. Open it, type a question, get an answer with citations, close the tab. Done.
Then I came across this brilliant breakdown from an AI professional on LinkedIn, and it completely flipped my understanding. The original poster argues that most people are using maybe 10% of what Perplexity can actually do, and they’re holding onto myths that keep them stuck in 2022 search habits.
I want to walk you through every misconception this expert called out, because honestly, I had bought into a few of them myself.
The Tab Hoarder’s Confession
The author opens with a story that hit close to home. Back in 2022, they were researching one “simple” topic. They opened Google. Then Reddit. Then YouTube. Then 9 blogs. Then 3 PDFs.
After 40 minutes, they had more tabs than clarity.
If you’ve ever closed your browser at the end of a research session and felt your brain physically exhale, you know exactly what they’re describing. That’s the pain point this contributor uses to set up the real argument: Perplexity isn’t here to be another search engine. It’s here to kill the tab graveyard.
Myth 1: “Perplexity Is Just AI-Powered Google”
Wrong, says the original poster.
Google sends you to ten links. Perplexity reads the links for you. It searches, pulls sources, summarizes, cites, and lets you go deeper without ever leaving the page.
The truth? It’s a workflow engine, not a search engine. You ask. It works. You refine. That’s a fundamentally different relationship with information.
Myth 2: “It’s Just Another Chatbot Like ChatGPT”
Also wrong. The expert points out that chatbots generate from training data. Perplexity grounds its answers in live sources and cites them.
The difference matters when you’re doing research that actually needs to be accurate. You can click every citation. You can verify. You can drill into the source material. Try doing that with a generic chatbot reply and you’ll be back to opening 47 tabs to fact-check.
Myth 3: “The Free Version Is All You Need”
This savvy professional lays out exactly what most casual users miss. The platform now has layers most people never touch:
- Pro Search for deeper answers
- Deep Research for fuller reports
- Model choices so you can pick the right model for the job
- Pages that turn answers into shareable content
- Spaces for research with persistent context
- Memory for saved preferences
- Finance for markets and watchlists
- Structured outputs like tables, reports, sheets, and briefs
If you’re only typing questions into the search bar, you’re using a screwdriver as a hammer.
Myth 4: “Perplexity Is Only For Searching”
Here’s where the LinkedIn user really opened my eyes. Perplexity is moving from answering questions to doing work.
With Comet, it becomes an AI-native browser. That means it can:
- summarize pages
- compare tabs
- explain selected text
- manage browser tasks
- connect research across tabs
- turn browsing into execution
And with Perplexity Computer, the idea goes further. You give it a goal. It coordinates models. It helps create reports, review documents, plan campaigns, analyze data, and build outputs.
Perplexity isn’t trying to be a better search box. It’s trying to be the workspace where research turns into action.
Myth 5: “You Just Type What You Want And Hope For The Best”
The contributor is blunt about this one. Lazy prompting gets you lazy answers, no matter how good the tool is. The best results come from prompting like operators do:
- Be specific about what you actually need
- Add context so the model knows the situation
- Assign a role like analyst, marketer, or researcher
- Set the format you want the answer in
- Upload files when the source material matters
- Use follow-ups to refine and dig deeper
- Set time filters for fresh information
- Choose focus modes to narrow the search domain
The Truth Worth Acting On
The myth that Perplexity is “just” anything is what keeps people stuck. It’s not just search. It’s not just a chatbot. It’s not just a free tool you poke at occasionally.
Used properly, this innovator says, Perplexity compresses hours of search into minutes of structured thinking. That’s the part I keep coming back to. Hours into minutes. That’s not a productivity tweak, that’s a category shift in how research gets done.
So here’s what I’d act on after reading this: pick one feature you’ve never used (Spaces, Pages, Deep Research, or Memory) and run your next real research task through it. Treat it like a workspace, not a search bar. Prompt like an operator. See what happens.
The post itself goes deeper with an infographic that maps every feature in one view, so check the full LinkedIn post for the visual breakdown and decide which myth you’ve been guilty of believing.