Perplexity: our complete take on the AI answer engine

Perplexity has carved out a unique place among AI tools by positioning itself as an answer engine rather than a simple chatbot or classic search engine. Its promise: get a drafted, sourced, and verifiable answer to any question, without sorting through dozens of links. The tool gained popularity precisely because it fills a void between classic search, sometimes tedious, and AI chatbots, not always reliable on recent facts.

This take is aimed at anyone using search online daily, professionals, students, or simply curious minds, hesitating whether to integrate Perplexity into habits alongside or instead of Google and classic AI chatbots.

How Perplexity works

Unlike a classic chatbot that answers solely from internal knowledge, Perplexity performs real-time web searches to build its answer, then cites sources directly as numbered links. This approach brings it as close to a search engine as to a conversational assistant, with the advantage of verifying each claim in one click. Users can also refine their question in natural language and get an updated answer, rather than reformulating a keyword-style query.

Its strengths

Perplexity's main strength lies in answer traceability: every piece of information links to a source, limiting made-up answers and allowing quick verification of a specific point. The tool also performs particularly well synthesizing recent news or comparing sources on a given topic.

• Sources cited and verifiable for each answer
• Good relevance on news and recent topics
• Clean interface, quick to learn
• In-depth search features for complex topics

Its limitations

Perplexity remains less adept than a generalist assistant like ChatGPT or Claude on long creative tasks, elaborate content writing, or multi-step reasoning on complex problems. Its strength remains factual and sourced answers, not original content production or advanced programming assistance.

• Less suited to long creative writing
• Relevance sometimes uneven on highly specialized topics
• Depends on quality of sources found on the web
• Less relevant than dedicated assistants for complex code

Perplexity against ChatGPT, Claude, and Google Gemini

Against ChatGPT and Claude, Perplexity stands out through systematic web search and visible sources, where generalist chatbots emphasize conversation and content generation. Against Google Gemini, integrated directly into the Google ecosystem, Perplexity keeps the advantage of a more neutral experience centered on answers rather than sponsored links. Each of these tools can complement rather than exclude one another depending on the task at hand.

Who Perplexity is for

Perplexity particularly suits those doing lots of information research daily: professional monitoring, file preparation, fact-checking, or preliminary academic research. It's less indicated as the primary tool for writing long content or as a programming assistant. Marketing teams, consultants, and journalists especially find real time savings in its research phase.

• Professional monitoring and news
• Quick search with verifiable sources
• File or summary preparation
• Less suited as single tool for content creation

Our verdict

Perplexity clearly deserves its place among AI tools to test, particularly for those wanting to save time on information research while keeping the ability to verify each source. It doesn't replace a generalist assistant like ChatGPT or Claude for content production, but works very well alongside, as the first reflex for any question needing a reliable and sourced answer quickly.