AB Ansh B. Associate Security Engineer Capital Markets Mid-Market (51-1000 emp.) 7/17/2026 "Fast, Current and Verifiable Perplexity is the Research Tool IT Professionals Need" 5/5 What do you like best about Perplexity? What I like best about Perplexity is how it combines the speed and conversational nature of an AI assistant with real-time web search, delivering sourced, up-to-date answers rather than relying solely on a static training dataset. Unlike traditional AI chatbots that can confidently produce outdated or hallucinated information, Perplexity actively searches the web for every query and presents answers with inline citations, so you can verify the source of every claim immediately without having to do a separate search to fact-check the response. The answer quality for research heavy queries is particularly impressive. Whether I'm looking up recent security advisories, checking the latest software version, or researching a vendor's current product capabilities, Perplexity surfaces accurate, current information in a clean, readable format that gets straight to the point without unnecessary padding or generic filler content. The follow-up question capability within the same thread is another standout feature. Being able to drill deeper into a topic conversationally asking follow-up questions that build on the previous answer without losing context makes it genuinely useful for complex, multi-layered research tasks that would otherwise require multiple separate searches across different browser tabs. For an IT professional who regularly needs current, accurate technical information quickly, that combination of real-time search and conversational depth is a significant productivity advantage. Review collected by and hosted on G2.com. What do you dislike about Perplexity? While Perplexity is a genuinely useful research tool, there are some friction points worth highlighting from a power user perspective. The most noticeable limitation is answer inconsistency on complex or nuanced technical topics, the quality of responses can vary significantly depending on the quality and recency of the sources it pulls from. If the top search results for a query are outdated, incomplete, or from low-authority sources. Perplexity's answer reflects that without always flagging the reliability gap clearly enough. The source selection can also be frustrating at times. Perplexity doesn't always prioritize the most authoritative or relevant sources official vendor documentation, peer-reviewed research, or primary sources are sometimes overlooked in favor of blog posts or aggregator sites that summarize the same information less accurately. For technical queries where precision matters, that source quality inconsistency requires additional verification that sometimes undermines the time-saving benefit. The free tier limitations are another genuine pain point. Features like file upload, advanced model selection, and higher query limits are locked behind the Pro subscription, which feels restrictive for users who want to use it seriously as a daily research tool without committing to a paid plan. Compared to dedicated AI assistants like ChatGPT or Claude, Perplexity's ability to handle complex, muti-step reasoning tasks or generate structured long-form content is more limited. It excels at search-grounded answers but falls shorts when the task requires deeper analytical thinking, content generation, or working through a problem iteratively over a long conversation thread. Review collected by and hosted on G2.com. What problems is Perplexity solving and how is that benefiting you? Perplexity solves one of the most frustrating limitations of traditional AI assistants the reliance on a static training dataset that becomes outdated the moment it is compiled. For anyone working in a fast-moving field like IT security, where threat landscapes, software versions, vendors advisories, and best practices change constantly, an AI tool that can only reference information up to a fixed cutoff date has significant practical limitations. Perplexity eliminates that problem entirely by grounding every response in real-time web search which means the answer are current, sourced, and verifiable rather than potentially months or years out of date. From a day-to-day IT administration perspective, it solves the research fragmentation problem. Previously getting a reliable answer to a technical question meant opening multiple browser tabs, skimming through vendor documentation, cross-referencing forum posts, and piecing together an answer manually. Perplexity compresses that entire workflow into a single conversational query that returns a structured, sourced answer in seconds, with inline citations that make verification straightforward rather than a separate exercise. The benefit for security related research is particularly significant. When investigating a new CVE, checking whether a vendor has released a patch, or validating current best practices for a specific configuration, having a tool that searches authoritative sources in real time and summarizes the findings clearly saves meaningful time compared to traditional search engine workflows. Overall Perplexity has become a reliable first stop for any research task that requires current information, reducing the time spent on manual search and verification while maintaining the source transparency needed to trust and act on the answers in a professional IT environment. Review collected by and hosted on G2.com. 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