Best Deep Research AI App in Taiwan: ChatGPT, Perplexity, or Gemini?

One comparison describes modern deep research as giving an AI a multi-step question, letting it search, refine its plan, collect evidence and return a sourced synthesis rather than a quick answer. In everyday terms, the value is not just “asking AI” — it is finding, comparing, organising and citing information.

Quick recommendation table

If you only install one app, start with ChatGPT

If you are not doing full-time fact-checking and mainly want AI to help you break down questions, structure ideas, draft reports, summarise material or turn research into a plan, ChatGPT is the most sensible default.

The reason is workflow fit. Existing comparisons place ChatGPT’s strength in structured outputs, and another comparison puts it in the creation and execution phase. That matches how many people actually use AI: not only to find information, but to turn messy notes into something readable, useful and ready to share.

There is one caveat: this recommendation assumes that source transparency is not your absolute top priority. If your job is to trace claims back to original sources, compare different accounts or quickly verify information, Perplexity is usually the better first stop.

For research and source checking, Perplexity is more natural

Perplexity feels less like a conventional chatbot and more like an AI search-and-research interface. It is described as an AI-powered search engine that searches the web, synthesises information and links directly to primary sources.

That makes it useful when your first task is to establish the facts: checking background on a news topic, comparing several articles, finding citation trails or testing whether a claim is well supported. A separate comparison also highlights Perplexity for speed, clarity and transparent sourcing, and notes that it offers Deep Research on its free plan.

The best way to use Perplexity is at the front of the research process: search, inspect sources, map the main arguments, then move the verified material into another tool for writing or formatting.

If you live in Google, Gemini deserves a serious look

Gemini’s advantage is not necessarily that it is always the strongest standalone chat app. Its appeal is that it fits naturally into Google’s ecosystem. Comparisons place Gemini in the category of Google-native knowledge work, and another source notes that Google Gemini can provide smart summaries with source attribution in the text.

If your research, documents and knowledge management already revolve around Google, Gemini is worth testing early. The better question is not “Which AI app is number one worldwide?” but “Which AI tool fits into the way I already work?”

How to judge the free versions

If you are not ready to pay, test the workflow before comparing feature lists. Lifehacker reports that Perplexity and Gemini make Deep Research reports available to free users, but with usage limits.

A practical Taiwan-user test is to give each app the same research question and check four things:

1. Source clarity: Can you quickly open the original article, document or primary source?
2. Traditional Chinese quality: If you work in Traditional Chinese, are summaries, bullet points and long-form outputs natural enough to use?
3. Workflow fit: Can the app take you from searching to comparing to organising without too much friction?
4. Usage limits: Are the free-plan caps enough for your real query volume? Always confirm the current limits on each app’s own plan page.

The most efficient setup: Perplexity for verification, ChatGPT for output

If you do not have to choose just one app, the most efficient approach is usually division of labour: use Perplexity for search and verification, then use ChatGPT to organise and produce the final output. One comparison explicitly places Perplexity in the search and verification phase and ChatGPT in the creation and execution phase.

A simple workflow looks like this:

1. Use Perplexity to search, inspect sources and identify competing claims.
2. Move the verified points into ChatGPT to create a report, outline, decision brief or action list.
3. If your documents, search habits and knowledge work are mostly inside Google, add Gemini for summaries and Google-native research tasks.

Final recommendation

A responsible answer is not “there is one best Deep Research app for everyone in Taiwan.” The available comparisons support choosing by task rather than declaring an absolute winner.

• Choose ChatGPT if you want one general-purpose research and output assistant. It is better aligned with structured outputs, writing, planning and execution.
• Choose Perplexity if source checking matters most. It is closer to an AI search and verification tool, with clearer emphasis on web search and links to sources.
• Choose Gemini if your workflow is Google-heavy. Its positioning is strongest for Google-native knowledge work and summarisation with attribution.

So the most practical setup is: ChatGPT as your general research-and-writing assistant, Perplexity as your source-checking gateway, and Gemini as a useful extension for Google-based workflows.