Perplexity Review: Is AI Search Ready for Balkan Researchers and Journalists?
By Suad Seferi ·
Search is changing. For years, the normal workflow was simple: open Google, search keywords, open several links, compare sources, copy notes, and build an answer manually. That workflow still matters, especially for serious journalism and research. But AI search tools like Perplexity are trying to change how people find, summarize, and verify information. Perplexity is not just a chatbot. Its main promise is search with answers, sources, and citations. For journalists, researchers, analysts, students, NGOs, and policy teams in the Balkans, that sounds useful. The region often needs fast access to information from official documents, international reports, company announcements, academic sources, and local media. But is Perplexity ready to be trusted? The answer is: useful, but not enough on its own. What Perplexity does well Perplexity is strongest when you need a quick overview of a topic with sources attached. Instead of giving only a list of links, it generates a structured answer and points to sources that support the response. This can save time when researching topics such as AI regulation, new tools, company announcements, education policy, public-sector digitalization, funding programs, startup activity, or international reports. For AI Balkans-style work, Perplexity can be useful for: finding recent sources comparing several documents getting a first overview of a complex topic identifying official announcements summarizing public reports preparing interview background checking what has changed in a topic discovering sources to verify manually This makes it especially useful at the beginning of research. A journalist can use it to map a topic. A researcher can use it to locate reports. A policy analyst can use it to compare public documents. A student can use it to understand where to begin. Why citations matter The strongest feature of Perplexity is not that it writes answers. Many AI tools can do that. The strongest feature is that it tries to connect answers to sources. This matters because AI-generated text without sources is risky. It can sound confident even when it is wrong. In journalism, research, and policy work, that is not acceptable. Perplexity helps by making the source layer more visible. You can see where an answer is coming from, open the sources, and continue verification. But this does not remove the need for human judgment. Citations can still be incomplete. Sources can be weak. A summary can miss context. A page may be outdated. Local information can be harder to capture than global technology news. So Perplexity should be treated as a research assistant, not as an editor. Balkan relevance For the Balkans, AI search has both value and limitations. The value is clear. Many regional topics are fragmented across government websites, PDFs, local media, university pages, LinkedIn posts, EU documents, NGO reports, and company announcements. A tool that helps collect and summarize sources can save a lot of time. This is useful for topics like: AI policy in North Macedonia, Albania, Kosovo, Serbia, and the wider region public-sector digital services education and AI literacy startup ecosystem updates EU AI Act alignment research and university activity funding and innovation programs regional AI events and initiatives The limitation is also clear. Balkan information is often multilingual, sometimes poorly structured, and not always indexed well. Important details may exist only in local-language PDFs, social media posts, press releases, or government pages that are not easy for AI tools to interpret. That means Perplexity can help, but it cannot replace local knowledge. Strengths The first strength is speed. Perplexity is good for quickly understanding a topic and finding starting sources. The second strength is structure. It can turn scattered information into a readable answer, which helps when you are dealing with many documents or unfamiliar topics. The third strength is source visibility. For research work, seeing sources immediately is better than receiving an unsupported AI answer. The fourth strength is comparison. Perplexity can help compare tools, policies, reports, or country-level developments, as long as the user checks the sources afterward. The fifth strength is usefulness for non-experts. People who are not trained researchers can still use it to explore topics more responsibly than with a normal chatbot answer. Weaknesses The first weakness is that source quality varies. A cited answer is not automatically a reliable answer. Users still need to check whether the source is official, current, independent, and relevant. The second weakness is local coverage. Some Balkan topics may be underrepresented, outdated, or available only in languages and formats that are harder to search. The third weakness is nuance. AI search can summarize information, but it may miss political, institutional, historical, or cultural context. The fourth weakness is overconfidence. Because the output looks polished, users may trust it too quickly. The fifth weakness is dependence. Journalists and researchers should not allow AI search to decide what matters. It should support research, not replace editorial judgment. Who should use it Perplexity is useful for journalists who need to collect background information quickly. It is useful for researchers who want a first map of sources before deeper reading. It is useful for NGOs preparing policy briefs, proposals, reports, or advocacy materials. It is useful for students who need help understanding a topic, as long as they still read the original sources. It is useful for business teams tracking competitors, technologies, and market trends. It is also useful for AI-focused platforms like AI Balkans, where source tracking and fast research are part of daily editorial work. Who should be careful Perplexity should be used carefully by anyone working with sensitive, legal, medical, political, or high-stakes information. It should als…