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    Guide
    Intermediate
    Generic
    Researchers and Students
    Southeast Asia

    Using Perplexity and AI Search Engines for Research

    Research; AI Search; Perplexity

    AI Snapshot

    The TL;DR: what matters, fast.

    • AI search engines provide summarised answers with citations.
    • Use the Question → Review → Verify process to ensure reliability.
    • Always cross-check with primary sources to avoid misinformation.

    Perfect For

    Students and professionals looking for fast, cited answers to complex questions.

    Generative AI tools like Perplexity AI have surged in popularity, offering users answers with citations when they ask questions. These tools can speed up research but require careful verification.

    What Makes AI Search Engines Different?

    Unlike traditional search engines, AI-powered search responds to questions directly and aggregates information from multiple sources. This can save time and provide context but may also introduce inaccuracies.

    Question → Review → Verify Process

    Frame a clear question, review the AI-generated summary and follow citations to verify the information. Take notes and bookmark credible sources for deeper reading.

    Common Pitfalls

    AI search engines may hallucinate facts or misattribute quotes. Never rely solely on the summary; cross-check with primary documents.

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    Prompts

    Research Question

    Ask a precise question

    Use Perplexity to answer: “What are the main drivers of AI adoption in Southeast Asia?” Then evaluate the citations provided.

    Citation Check

    Verify citations

    Take one citation from the Perplexity answer on renewable energy in Thailand and find the original source. Summarise it in your own words.

    Source Comparison

    Compare AI and human search

    Search the same question using a traditional search engine and Perplexity. Compare the top three results from each and reflect on differences.

    Frequently Asked Questions

    Ready to experiment?

    Pick one of these prompts and see where it takes you. The interesting bit is not just getting results - it is discovering what happens when you tweak the parameters or combine different approaches. If you end up with something unexpected (whether that is brilliantly unexpected or amusingly terrible), we would genuinely love to see it.

    Share your results, your variations, or the weird tangents you went down trying to get things just right. That is often where the best insights come from: the collective trial and error of people actually using these tools in practice.

    And if you found this useful, we have got plenty more practical how-to guides covering everything from creating images for your blog to helping you automate boring work tasks. Each one is built the same way: real techniques, actual examples, no fluff.

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