AI search tools have kept evolving over the past two years, and Perplexity is currently the tool that most completely replaces the old habit of “open Google and look things up.” This guide covers its core features, the differences between the paid tiers, the real state of Chinese support, and how I plug it into my daily workflow.
What Is Perplexity?
In one sentence: Perplexity is an AI search engine that reads webpages for you.
Ask it a question and it does three things: searches the web for relevant pages, reads the content of those pages, and organizes the answer in natural language. Every section of the answer includes source numbers, and clicking a number takes you to the original webpage.
How is that different from Google? Google gives you links and asks you to read them yourself. Perplexity reads them and gives you the conclusion.
How is that different from ChatGPT? ChatGPT is a general-purpose AI, and search is only one of its features. Perplexity is built specifically for search, so its search quality and source citation are better than ChatGPT’s. For the full head-to-head, read Perplexity vs ChatGPT.
A lot of the Perplexity team came from Google, and you can tell: it knows how search should work.
Free vs Pro: Do You Need to Pay?
Here is the short answer: the free version is already very good, but if you search every day, Pro is worth it.
| Feature | Free Version | Pro (around US$20/month) |
|---|---|---|
| Basic search | Unlimited | Unlimited |
| Pro Search | About 5 times/day | Hundreds of times/day |
| Deep Research | No | Yes (10 times/month; in my testing, after you use them up, 1 is added each day) |
| Model selection | Default model | Choose ChatGPT 5.4, Claude Sonnet, and others |
| File upload analysis | Limited | More |
The free version’s basic search is already better than Google Search for many tasks. Ask a question, get a structured answer, and see the sources. That experience is free.
Pro Search is the advanced search mode, and the free version lets you use it a few times per day. Before searching, it asks one or two questions, such as “Do you want Taiwan-specific or global information?” or “Do you care more about price or features?” Once the intent is clearer, the search results become much more precise.
Deep Research is the Pro-only feature. I will go into it in detail below.
At around US$20/month, the price is close to ChatGPT Plus. For heavy users, the research time it saves every day makes the subscription easy to justify.
Pro Search: Search That Asks You Questions
Regular search works like this: you ask a question, and the AI gives an answer. Pro Search adds one step: it asks you questions first.
For example, if you search “best AI presentation tools in 2026,” Pro Search may ask:
- What type of presentation are you making? (business proposal / teaching / personal sharing)
- What is your budget? (free / paid is fine / free only)
- Are there any features you especially care about? (design quality / Chinese support / export formats)
After you answer, it starts searching. The results are filtered around your actual needs instead of being another generic recommendation list.
This design is smart. Most of the time, when we search for something, we are not totally clear about what we are looking for yet. Pro Search helps you clarify the question first, so the answer naturally gets more precise.
The free version gives you a few Pro Search uses per day, which is enough for occasional use. If you collect information every day, the Pro plan quota is what you actually need.
Deep Research: The Killer Feature
Deep Research is the real reason Perplexity becomes hard to quit.
Give it a research topic and it automatically does several things:
- Searches dozens to more than a hundred webpages
- Reads the content of each webpage
- Cross-checks information across different sources
- Generates a complete research report with all sources attached
Here is a typical real-world scenario: I need to write a comparison article about AI presentation tools. The traditional workflow is to Google it myself, open a dozen tabs, read them one by one, take notes, and organize everything manually. That takes more than three hours.
Give the same topic to Deep Research and, in fifteen minutes, it returns a report: pricing, features, pros and cons, user reviews, all organized. After another half hour of adding personal experience and corrections, the research stage of the article is basically done.
Deep Research is not perfect. It occasionally misses smaller niche sources, and sometimes it mixes information from different points in time, such as using last year’s pricing. The reasonable way to use it is as a first-pass filter. I still verify important numbers myself.
But it compresses the most time-consuming step, “collecting information from zero,” by more than 80%. That alone makes the subscription worth it.
Notifications: Get a Briefing at a Fixed Time
Perplexity’s Notifications are basically Scheduled Searches / Tasks. Pro, Max, Enterprise Pro, and Enterprise Max users can turn a query into a recurring task, such as daily, weekly, or monthly. When the time comes, Perplexity runs the query, saves the result as a thread, sends an email summary, and can also send a push notification if notifications are enabled.
Set it up from Settings -> Notifications -> + New schedule by entering the prompt and choosing the model and cadence, or create it from Tasks / Space tasks in the sidebar so it can reuse a Space’s context and sources.
The most useful setup for me is a fixed-time morning briefing: one copy in email and one app push. It fits tracking the AI industry, competitors, specific companies, or keywords. It does not replace Deep Research; it automates the thing you would otherwise search again every day.
How Good Is Chinese Support?
If you use Traditional Chinese in Taiwan, this part is especially worth talking about.
The Chinese answer quality is good. Ask in Chinese and it answers in Chinese, with smooth sentences and natural wording. It is much better than Google’s AI search summaries.
The sources are mostly English. This is Perplexity’s biggest limitation for Chinese users. If you ask a question in Chinese, most of the sources it finds are English webpages, then it translates the answer back into Chinese. If you need Taiwan-local information, such as regulations, news, or shops, English sources are not enough.
The practical workaround is simple: ask the same question once in Chinese and once in English. The Chinese search gives you Perplexity’s organization of Chinese webpages, while the English search gives you broader international sources. Compare the two and you get the most complete picture.
The Traditional Chinese vs Simplified Chinese issue is not too serious. Perplexity usually answers in Traditional Chinese, with an occasional Simplified Chinese term here and there, but it happens less often than in ChatGPT.
If you mainly search information from the English-speaking world, such as tech, academic topics, or international news, Perplexity feels excellent. If you mainly search local Traditional Chinese content, it is still helpful, but do not expect it to replace Google’s depth in Chinese search.
A Practical Workflow
Here is how I fit Perplexity into my daily workflow.
Quick morning news scan. Open Perplexity’s Discover page and it pushes summaries of the latest AI, tech, and crypto news based on your interests. It is faster than opening RSS or scrolling Twitter yourself.
Research before writing. Once I decide on a topic, I start a Deep Research run. Ten-plus minutes later, I get the first version of the report, then use Pro Search to follow up on specific details. This workflow cuts article research time from an average of three hours to under one hour.
Search everyday questions directly. Questions like “What is this API’s rate limit?” or “What is Taiwan’s duty-free allowance for inbound luggage?” are basic-search tasks. Type, search, get the answer. Usually it is done within 20 seconds.
Use it together with ChatGPT. Perplexity handles search, ChatGPT handles thinking. First use Perplexity to collect information, then send the organized material to ChatGPT for angles and outlines. Each tool does its own job.
One small trick: Perplexity search results can be shared directly as links, and the link includes the complete answer and sources. I save those links into Notion or Obsidian, so I do not need to search again when I want to revisit something later.
The full AI search tool comparison is in AI Search Tools Guide. For the detailed Perplexity and ChatGPT head-to-head, read Perplexity vs ChatGPT.
My Penchan Take
My default move for research has already shifted from Google to Perplexity. The two features I use most are Pro Search, for drilling into specific questions, and Deep Research, for the first research pass before writing.
The Chinese search limitation is real: for Taiwan-local content, such as regulations, news, and shops, Perplexity does not cover enough Chinese sources, so I still go back to Google. What I’ve settled into is simple: search the same question once in Chinese and once in English, using Chinese for local context and English for the international view.
The ChatGPT pairing: Perplexity handles search, giving me facts and sources; ChatGPT ideates, giving me angles and structure. The two tools have separate jobs. Where Perplexity falls short, ChatGPT can’t fill that gap either, and vice versa. The full comparison is in Perplexity vs ChatGPT.
Further Reading
FAQ
Q: What is Perplexity?
Perplexity is an AI search engine. Ask it a question and it searches the web, reads relevant pages, organizes the answer for you, and cites sources for each section. It is built specifically for search, so its role is different from ChatGPT’s.
Q: Is Perplexity free?
Yes, there is a free version. Basic search is unlimited, and Pro Search has a daily free quota. Deep Research requires the Pro plan, which is about US$20/month. The free version is already more useful than Google Search in many cases.
Q: How good is Perplexity’s Chinese search?
The Chinese answer quality is good, but the sources are mostly English. If you ask about Chinese-language topics such as Taiwan regulations or Chinese news, it finds fewer Traditional Chinese sources. In practice, I search once in Chinese and once in English, then compare both results.
Q: What is the difference between Pro Search and regular search?
Pro Search asks a few clarifying questions before searching, confirms what you are looking for, and then runs a deeper search. It usually returns more sources and more precise answers. Regular search gives you a result directly, so it is faster but not as deep as Pro Search.
Q: What is Deep Research?
Deep Research is Perplexity’s in-depth research feature. Give it a topic and it automatically searches dozens to more than a hundred webpages, cross-checks the information, and generates a complete research report. Best when you need to actually understand a topic in depth.
Q: Can Perplexity replace Google?
For most information-search scenarios, yes. In my own testing, my Google usage dropped by around 70%. But Google is still more direct for finding a specific website, checking maps, or searching images.
Q: Which is better, Perplexity or ChatGPT?
They are different tools. Perplexity is built for search, and its search quality and source citation are better than ChatGPT Search. ChatGPT is a general-purpose AI assistant, and search is only one of its features. Use Perplexity for deep search and ChatGPT for other tasks. For the detailed comparison, read the Perplexity vs ChatGPT article.
— Penchan