Perplexity Enterprise Pro

What do you like best about the product?

The best way I use Perplexity is for research, and I also rely on the news resources I get after doing a search. I trust Perplexity’s data to be about 99% accurate. I feel the information Perplexity shows is really helpful for research and for making progress.
Apart from this, the UX is clean, the usability is easy, and the results are prompt. This AI tool really changed how I used to do research.

What do you dislike about the product?

I feel if perplexity could have taken the approch to be more versatile with AI responses, that could have been more useful. I can get a good amount of research data but it is not enough to put that data into any proper reserach papers or blogs. I have to rephrase it via other AI tools so that it can be appealing to user/ readers. The cost is decent, but I would like more features and more versatile output if I am going with that pricing.

What problems is the product solving and how is that benefiting you?

I used to do research manually via Google, and it took hours. Perplexity helps me with that research part, cutting down 80% of the time by providing accurate data.

What do you like best about the product?

It is my go to ai appliation for all my coding and sql query requirements.

What do you dislike about the product?

It is very good in coding. But in terms of general document creation tasks. It can be a bit weaker than other AI tools

What problems is the product solving and how is that benefiting you?

It helped me develop my own website, dashboards for my company.

What do you like best about the product?

I like using Perplexity for its various ways of searching and the variety of models it offers. The ability to do image generation and use MCP and connections make it quite valuable for my tasks. I use chats with MCP to build and evaluate my Notion pages and create email drafts, which is really useful for me.

What do you dislike about the product?

Lately, Perplexity has made some changes to how the models work, and it doesn't allow you to use the selected models that you like. Instead, it routes you to different cheaper, low-performance models like Sonnet without explicitly mentioning it. They just add a message at the bottom saying 'prepared using Best because the " selected model name " was inapplicable or unavailable.' Additionally, answers are throttled, and there's a monthly limitation on image generation, even for pro subscribers. It feels like they're prioritizing profit over customer satisfaction, showing a greedy corporate side.

What problems is the product solving and how is that benefiting you?

I use Perplexity for daily chat and researching. It allows choosing different models for varied outputs, which is great. However, recently, it doesn't let me use my preferred models, switching to low-performance ones without notice. Image generation limits as a pro subscriber are frustrating.

What do you like best about the product?

I love how quickly research information with reliable sources to build my teases and also, to create dashboards to control my client´s number. It saves me time by providing fast, well-organized answers with references that I can easily verify.

What do you dislike about the product?

Creating dashboards usually takes a few rounds of prompting, but that's often because requirements become clearer as the dashboard evolves.

What problems is the product solving and how is that benefiting you?

Perplexity helped me build a centralized dashboard where I can manage multiple clients in one place. It allows me to keep track of budgets, impressions, and campaign performance in a single, organized view. It also provides a clean, professional interface that I can easily share with clients, making it simple for them to understand campaign progress and remaining budget.

What do you like best about the product?

I like Perplexity because it helps me quickly find accurate information and explore technical topics efficiently. The automation tools are particularly valuable as they handle repetitive research tasks, gather information from multiple sources, and streamline workflows, making my research and development process faster and more productive. I appreciate that it allows me to compare different approaches and organize findings, which speeds up my research and helps me make informed development decisions.

What do you dislike about the product?

One area that could be improved is the pricing. The premium plans can be expensive for individual developers and frequent users. More affordable pricing options or higher usage limits in the free tier would make Perplexity accessible to a wider range of users. The pricing could be more flexible, especially for individual developers and students who use Perplexity regularly but don't need all the premium features. Introducing lower-cost plans, pay-as-you-go options, or increasing the free tier limits would make it more accessible. Offering regional pricing based on different markets would also help more users adopt the platform.

What problems is the product solving and how is that benefiting you?

I use Perplexity to quickly find reliable information from multiple sources, summarize technical topics, and compare approaches. It automates research tasks, making the process faster and more productive, allowing me to focus on solving development problems instead of manual searching.

What do you like best about the product?

I like that it shows where the information came from. If something looks interesting, I can open the source right away instead of wondering if the AI just made it up. The follow-up questions are also surprisingly good, feels more like a conversation than a search engine.

What do you dislike about the product?

Every now and then it misses a source that I know exists, or it leans too much on one website. It's not a huge issue, but for client work I still double check important stuff. Wouldn't mind if the Pro plan was a little cheaper either.

What problems is the product solving and how is that benefiting you?

We mostly use it when we need to get up to speed on a topic really fast. Whether it's researching a new industry, checking competitors or looking into a market, it gives us a solid starting point without spending ages jumping between websites. Its fast, and it saves us a ton of time in the early research stage. It's become one of those tabs that's almost always open during work.

What do you like best about the product?

I use Perplexity mainly for its range of models which I find very useful. Claude helps me centralize all my research data in one place and organizes my files. I also appreciate Gemini's ability to provide the best outputs for simple and immediate queries. ChatGPT is great for the content sides of the business. Centralization of research through Perplexity speeds up my decision-making process and removes the need for cross-team communication. I also found the setup easy, with all models readily available, and the enterprise setup isn't difficult.

What do you dislike about the product?

The context memory across different chats with different models doesn’t always hold perfectly. I wish it could hold the memory better, but I'm not sure how those improvements could be implemented as I'm not a software engineer or familiar with machine learning.

What problems is the product solving and how is that benefiting you?

I use Perplexity to centralize research, speeding up decision-making and reducing the need for cross-team communication by answering unfamiliar questions.

What do you like best about the product?

What I like most is how quickly I can get a complete answer without needing to open a dozen browser tabs. It doesn’t just give me a response—it also shows where the information came from, so I can go back to the original sources whenever I want to dig deeper. That makes me feel much more confident when I’m researching technical topics or weighing different options.

I use it often for programming questions, automation testing, API troubleshooting, and learning new technologies. It does a solid job of pulling information together from multiple sources and presenting it in a way that’s easy to understand and follow. The follow-up questions also feel natural, which lets me keep the conversation moving instead of having to start over each time.

The interface is clean and fast, and I appreciate that it gets straight to the point without a lot of clutter. I’ve also found it helpful for summarizing long articles and documentation when I don’t have time to read everything end to end.

Overall, it’s become one of the first tools I open whenever I need to research something, understand a new concept, or get a quick answer backed by reliable references. It saves me time almost every day.

What do you dislike about the product?

I don’t have any major complaints, but there are a few areas that could be improved. At times, the answers feel a bit too brief for more complex topics, so I end up asking a couple of follow-up questions to get the level of detail I’m looking for. On the flip side, for simpler questions it can occasionally provide more information than I actually need.

I’ve also noticed that when a topic is changing quickly, it’s still worth checking a few of the linked sources rather than relying only on the summary. It’s not a big issue since the references are right there, but I still prefer to verify important information.

Aside from those minor points, the overall experience has been smooth. It’s fast, easy to use, and the time it saves during research easily outweighs these small drawbacks.

What problems is the product solving and how is that benefiting you?

It has made my research much faster by pulling information from multiple sources into a single response. Instead of opening several websites, reading through articles, and trying to piece everything together on my own, I can get a clear, well-organized summary with links to the original sources in just a few seconds.

I use it often when I’m troubleshooting automation issues, learning new tools, comparing technologies, or trying to understand unfamiliar concepts. It gives me a solid starting point, and when I need more detail, I can jump into the cited sources without having to repeat the same search process.

It’s also been useful for summarizing long documentation and articles, which saves me a lot of time—especially when I need to grasp something quickly before getting back to work. Overall, it has reduced the time I spend searching for information and made it easier to find reliable answers backed by supporting references.

What do you like best about the product?

I'd say the citations. I can quickly check where an answer came from instead of just trusting the AI. Makes researching stuff way easier, and I end up wasting less time double-checking everything.

What do you dislike about the product?

Probably the message limit when I'm in the middle of researching something and suddenly I have to wait.

What problems is the product solving and how is that benefiting you?

It saves me from opening 10 different tabs. I can get a quick answer with sources, and if I want, I can dig deeper. Makes research much faster.

What do you like best about the product?

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.

What do you dislike about the product?

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.

What problems is the product 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.