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Perplexity Labs is one of the most popular AI agents for Deep Research. Using Perplexity’s signature feature it uses authentic sources for all the output.
From research paper to app generation, this LLM works in every situation using its different LLM options.
Deep Research evolving with Perplexity Labs as it works more like a companion than an AI application.
The progressing AI era is making it challenging for the companies to survive without innovative approaches. Taking a lead from other AI models, Perplexity AI has launched its Deep Research mode that provides users with expert‑level summaries.
Perplexity Labs is different from other traditional deep research methods for it offers a more practical and actionable approach, turning prompts into interactive apps, full-fledged reports, dashboards, slides, documents and code. Precisely, where deep research focuses on information gathering and analysis, Perplexity Labs goes a step further by developing useful output.
Below are the ways how Perplexity Labs outshines others in Deep Research:
Perplexity Labs can generate reports automatically on any topic. Whether one wants a report regarding market intelligence or competitive tracking, Perplexity can instantly generate it with the right prompts, without any human intervention. The key here is the right prompt. Users must give exact prompts to generate an authentic report. The best part is other Deep Research tools stop after generating reports, but Labs continue updating it with up-to-date analysis.
The next feature that makes the Perplexity Deep Research tool unique is its data visualization capabilities. Unlike other LLMs, it has advanced built-in dashboards and charts, which goes beyond text. If one uses Labs for a project, this AI chatbot inserts necessary dashboards and charts inside a project to make it visually impressive.
Another exciting part of using labs include natural language prompts. If users can provide this app with natural language prompts, this app can develop basic web apps (HTML/CSS/JavaScript) to showcase analysis tools or prototypes. While Deep Research can’t execute such advanced features like developing codes or create functional interfaces, Labs bridges this gap between creativity and usability.
Also Read: Is Perplexity’s Comet Changing the AI Browser Game?
Labs supports coding inside projects. Deep Research gathers information and organizes them for projects, but they can’t run code. Here’s again the Perplexity AI tool stands out. Labs executes, tests, and delivers working artifacts.
One of the biggest benefits of Perplexity Labs includes its multiple LLM models. This AI tool automatically selects appropriate LLM or else, users can also choose between different LLMs according to their preferences. One can choose between GPT‑4.1, Claude, Sonar, o4‑mini, etc. These are optimized for different tasks. While Deep Research typically uses fewer modes which limits flexibility, Perplexity Labs outshines in this aspect.
Perplexity Labs utilizes the signature feature of Perplexity chatbot, authentic source citation. It draws valid sources on the web, academic papers, social media, financial data, and file uploads to create a proper output with all the authentic information. Deep Research also uses multiple sources, but Labs goes beyond mere integration or uploads.
One of the most highlighted features of Perplexity Labs include sharable documents. Every Lab can be exported as a shareable document, PDF, or even a live Perplexity Page. These features retain interactivity and visuals. Deep Research gives static texts or PDFs, but going a step further, Labs provide output which are richer and more dynamic.
Deep Research reduces manual labor for writing articles. Users can generate a full-length article, project or report within 5 minutes. Labs work faster and add creation and execution to every output. It does proper research, cites authentic sources, and delivers a rich output in one seamless workflow.
Also Read: Google AI Mode vs Perplexity AI: Which is the Best AI Search Tool
While Deep Research often works for limited domains, Labs work across various domains like finance, marketing, product research and app prototype or presentations. The best part is it shines in all these sectors. Therefore, it’s not only versatile, but it has utility across industries.
Deep Research is a researcher. On the contrary, Perplexity Labs is more like a team than just an answer machine. It handles research planning, codes, visuals, and structure as a co-creator who does deeper research, and arranges data to make a proper output.
Perplexity Labs goes beyond traditional Deep Research, and there’s no way to deny this fact. However, it stands out from other LLMs not only because delivering prompt answers, but the best part of it is building solutions like a co-worker. Its ability to create dashboards, apps, code snippets, and reports are what redefines the concept of AI research.
With more professionals adopting Perplexity Labs for product development, competitive tracking, and strategy building, it seems like Perplexity Labs signals a shift from passive inquiry to active intelligence. Therefore, potentially, the technology world will witness a new dawn with this Perplexity LLM, and Perplexity AI web-browser Perplexity Comet, where answers are only the starting point while creation is the destination.
What are the key differences between Perplexity Labs and Perplexity Deep Research?
Ans: Perplexity Labs builds full projects, combining research and automated creation of reports, charts, apps, and dashboards. Deep Research focuses on in-depth question answering with extensive sources and synthesized reports, without project generation capabilities.
How does Perplexity Labs improve research productivity compared to Deep Research?
Ans: Perplexity Labs automates multi-component project creation, saving hours by consolidating research, data visualization, and coding into one workflow, while Deep Research delivers comprehensive reports but requires manual assembly for projects.
What unique features does Perplexity Labs offer that Deep Research does not?
Ans: Labs offers project creation including spreadsheets, dashboards, mini-apps, image/gen tools, multi-model selection, specialized tools like finance and shopping hubs—beyond Deep Research’s curated, cited report generation.
In what ways does Perplexity Labs handle complex projects better than Deep Research?
Ans: Labs integrates research with automated building of ready-to-use business assets in one workflow, streamlining complex tasks with advanced tools, unlike Deep Research which generates insightful but standalone reports.
How can Perplexity Labs transform a simple prompt into a full professional project?
Ans: Labs converts simple prompts into professional outputs by combining deep web research, automated report writing, coding, and visualizations, delivering ready-to-share projects efficiently for business or academic use.
