Ep 311: Perplexity – How to use it & 5 things to know that will change how you work

Understanding Perplexity and How It Can Transform Your Business

In an increasingly digitized and competitive business world, tools like Perplexity offers a competitive edge, streamlining processes and generating impactful insights. It’s much more than a large language model; it’s an answers engine designed to browse multiple websites simultaneously and provide well-researched information with citations.

Power of Perplexity: Free vs Paid Versions

The distinctions between the free and paid versions of Perplexity outlines the vast range of features available. The free version offers a taste of Perplexity's capabilities while the paid version unlocks a suite of more powerful models like GPT-4 from OpenAI and Claude 3.5 SONET. The paid plan also offers unique features such as the ability to connect Claude to the internet, use AI images, and provides a $5 monthly API credit.


Competitive SWOT Analysis with Perplexity

Among Perplexity's significant capabilities is its power in conducting comprehensive and competitive SWOT analysis. Not only does it allow for the research and analysis of specific companies and their products, but it also highlights the importance of specific, well-researched information, urging users to research from scratch if responses are not detailed enough.


The Perks of Speed with Perplexity

Perplexity heralds a new era of speed and efficiency in compiling a list of potential customers, offering details such as the clinic name, location, phone numbers, and staff information. This AI-powered tool completes tasks in mere minutes that might otherwise take hours.


Perplexity versus Traditional Internet Browsing

The model explores an alternative to the conventional method of seeking out information on the internet, by connecting different models to the internet and conducting more efficient research. Thus, Perplexity is changing how people use the internet - less reliance on search engines and more on AI-powered tools.


Perplexity’s Unique Features

The main features of Perplexity include threads (resembling chat conversations), collections (for organizing related threads and sharing them with collaborators), pages (in-depth articles/reports created from threads), and cards (for visualizing certain data). These features enhance the research process, making it more organized and collaborative.


Perplexity as a Search Engine

Amidst allegations and controversies, Perplexity is aiming to confront traditional search engines by positioning itself as a potential alternative. The shift towards an AI-powered internet is emerging, and tools like Perplexity might be paving the way.

Given the increasing clutter of ads and loss of revenue for publishers with conventional internet browsing, the way forward might be AI integrated tools. Perplexity, Microsoft Copilot, OpenAI's browse with Bing, and Google's AI overviews suggest a future where the internet could be more productive, efficient, and streamlined.


Embrace AI, Embrace Perplexity

Perplexity is undoubtedly a tool designed for the future, aiming to revolutionize internet browsing and research. With intensive features and credibility of an ‘answers engine’, more and more businesses are anticipated to leverage its powers. As we step into an era of AI supremacy, it's time we explore the realms of Perplexity for a seamless and efficient digital experience.

Topics Covered in This Episode

1. Overview of Perplexity
2. Differences Between Free and Paid Perplexity
3. Use Cases of Perplexity
4. View and Edit Sources Using Perplexity
5. Future Implications of Perplexity


Podcast Transcript

Jordan Wilson [00:00:16]:
Do you like wasting time? Because if you're not using perplexity day to day, you are just throwing away hours a week. It's one of our most used tools here at everyday AI, and I've loved Perplexity since it came out. But a lot of people don't know how it works and don't truly understand what it's capable of. So we're gonna be going over that today and telling you how to use it and 5 things that I think you really need to know. Alright. I'm excited for today's show. What's going on y'all? My name's Jordan Wilson, and this is Everyday AI. Welcome.

Jordan Wilson [00:01:00]:
This is for all of us. Everyday AI is a daily livestream podcast, free daily newsletter helping everyday people learn and leverage generative AI to grow their companies and to grow their careers. And, hey, such a simple way to do that when, you know, there's a sea of of AI tools, and I think perplexity has to be, one that you use almost daily. Right? So, before we get into that, let's first do as we do every single day and start off with the AI news. So the FBI has shut down an AI driven Russian bot farm on Twitter. So according to reports, the United States Department of Justice has seized 2 domains associated with Russian's disinformation campaign that are utilizing a 1,000 AI generated accounts on social media to spread fake news. So these Russian actors allegedly linked to Russian state TVRT operated a sophisticated bot farm that used AI to create fake social media profiles as Americans to support Russia's actions in Ukraine. So deputy attorney general Lisa Monaco, emphasized that the DOJ will not tolerate the use of AI by Russian government actors to spread disinformation and fuel division among Americans.

Jordan Wilson [00:02:14]:
Also, FBI director Christopher Wray stated that the bot farm aimed, to disseminate AI generated foreign disinformation to influence geopolitical narratives in favor of the Russian government. You know, this is one one thing when it comes to to Twitter and people say, oh, you know, Grok, you know, Twitter's large language model. I say, well, you know, there's such a huge chunk of Twitter that is just bot farms from all over the world. So, you know, no no big surprise here, but, you know, before the election, I think this is important to talk about. Alright. Our next piece of AI news. Microsoft, and Apple will reportedly no longer be on OpenAI's board due to regulatory scrutiny. Alright.

Jordan Wilson [00:02:56]:
So this is huge news y'all. So according to reports, Microsoft has decided to relinquish its observer seat on the board of OpenAI just 8 months after securing the nonvoting position. Also, Apple's plans to join OpenAI's nonprofit board also in a nonvoting position have been canceled as reported first by the Financial Times. So OpenAI confirmed the departures in the statement expressing gratitude to Microsoft's confidence in the company's direction. So under the leadership of CFO Sarah Friar, OpenAI is adopting a new approach to engage key stake, key stakeholders like Microsoft and Apple, as well as investors such as Thrive Capital. So the new approach includes hosting regular, regular stakeholder meetings to enhance collaboration across safety and security aspects. Obviously, there's a lot of antitrust concerns surrounding Microsoft's deal with OpenAI, and those have been growing, with UK and EU regulators seeking views on the partnership. And I literally, talked about this on the show this week, how, this new announcement with Apple, getting a board seat was going to open a huge can of worms with federal investigators.

Jordan Wilson [00:04:08]:
Apparently, that didn't take long to materialize. Alright. Our last piece of news. More OpenAI, another big one, but OpenAI is planning to block ChatGPT and access, reportedly starting today in China. So, this newsworthy event revolves around OpenAI's decision to block ChatGPT access in China and to developers, a country where its services are not officially available, impacting several Chinese startups that are using OpenAI's language models through APIs. So OpenAI has initiate initiated steps to block API traffic from regions where their services are not supported with China being one of those big reasons. Users and developers in China have been accessing OpenAI services via the company's API despite the services not being officially available in the country. So this move comes after OpenAI's revelation of halting covert influence operations, including those originated from China, you'd utilizing AI models for spreading disinformation online.

Jordan Wilson [00:05:06]:
So many are speculating that this actually is hinting that there could be a major release from OpenAI coming. I'm not sure if I'm buying that, but who knows? Stay tuned and make sure to tune in because we'll be covering that if it does happen. Alright. That's enough for AI news. Let's talk perplexity. Right? How to use it and the 5 things that you need to know. So, hey. Super excited to have all of you on here live.

Jordan Wilson [00:05:34]:
Yes. If you're listening on the podcast, come join the livestream. It's a ton of fun. Join awesome people like Michael and Brian and Tara and Colby and Cecilia and Jay and and Nicole and Woozy and Fred and Rolando. So many people joining us. And Christopher. Alright. So if you do have questions on perplexity, get them in.

Jordan Wilson [00:05:52]:
I'll try to answer some of them as we go along, but you're gonna wanna repost this episode too. I'll tell you why at the end. So here's what we're gonna be covering in today's episode. We're gonna be going high level perplexity overview, talk about the differences between the free and the paid versions because they're pretty big differences. We're gonna show you how it works live. So live stream audience, we're gonna be tapping on you to do this. Yes. This is unedited, unscripted.

Jordan Wilson [00:06:18]:
This could go anywhere. So, get your ideas ready, on a very famous product from a very famous company that anyone in the world would know. So get get your ideas in now, and I'll call for them in a minute. And then we're gonna tell you the 5 things that you need to know about perplexity. Alright. So let's start and go over a perplexity overview. Okay? If you haven't used perplexity before, it is very similar in setup to a standard large language model. Right? Even in the user interface and user experience.

Jordan Wilson [00:06:55]:
So, essentially, you type in a prompt. Right? And and, hey, for our, podcast audience, this might be one of those you might wanna click on, in the show notes and come watch the video, but I'll try to do my best to describe what we're showing on the screen. So perplexity is essentially it's set up to look like a large language model, but it doesn't really function like one because it is actually an answers engine. Right? So you have all your, kind of saved chats on the left hand side. There is a prompt box like you would see in ChatGPT, Copilot to Gemini, Claude, etcetera, and you can get answers. Right? But that right there, that one word is the biggest difference between perplexity and other large language models because perplexity is not technically a model. Alright. Let me repeat that.

Jordan Wilson [00:07:45]:
Perplexity is not technically a large language model. We'll get into the details of that here in a second, but it is actually an answers engine. Okay? So and this is why I started off the show by saying this. If you're not using perplexity, you are literally wasting probably many hours a week, potentially hours a day. And I do think that this is the future of interfacing with information online. More on that later in the show. But, essentially, it is an answers engine. So, think of something that you may be doing.

Jordan Wilson [00:08:16]:
Maybe some competitive research or some, some market trends. Right? How Internet browsing has traditionally worked for the past quarter of a century is you put in a query on Google, you end up maybe opening 3 tabs. You start reading. You get distracted. You click a related article. Oh, you actually need to research something else. You go back. All of a sudden, there's 13 tabs open.

Jordan Wilson [00:08:38]:
Okay. You're like, this is fine. I'm gonna go read all these tabs. You know, you go through there, get interrupted, get distracted, go back. Okay. Now all of a sudden, you have 28 tabs. Your browser shuts down because there's too many tabs. You forgot what you started to to research to begin with, and you start the process all over.

Jordan Wilson [00:08:52]:
Right? And you might spend many, many hours, right, doing this kind of work. Think of all the work you do on the open Internet, and I'm gonna talk about what that means here in a minute. But for many knowledge workers, right, so whether you're reading a long PDF, whether you're reading a long case study, whether you're you're looking at and and researching, like I said, competitors, market trends. So much of our time as knowledge workers for many of us is spent doing these exact tasks, going through and and trying to essentially find answers and to find definitively find information online. Right? Traditionally, we've done this in Google. Right? Hey. Does does anyone wanna shout out our livestream audience what your first search engine was? I like asking that. I think I was using, like, dog pile, way back in the nineties and and ask Jeeves, the original AI agent.

Jordan Wilson [00:09:46]:
Right? So perplexity is not technically a large language model. It is a you can connect different models to the Internet. And, essentially, instead of browsing a handful or dozens of sites looking for that one piece of information or looking to find trends or whatever it is you're looking for on the open Internet, perplexity literally goes through and looks and does all the research for you. Yes. I use the Internet so much less than I did 2 years ago. I browse way fewer websites, and I get way more done. You know, whenever someone asked me, hey, Jordan. What are your favorite AI tools? Right? My first is always ChatGPT, but usually my second or my third is perplexity.

Jordan Wilson [00:10:34]:
And I have I'm I'm not exaggerating y'all because I may or may not be helplessly addicted to, software, but I've literally used more than a 1,000 pieces of AI software, over the last, like, 3 years. Right? I'm always trying them out, you you know, reviewing them for our YouTube channel. And, I'll tell you this. ChatGPT is in its own league, in its own category. Right? But perplexity isn't too far behind. And there's a lot of new features being added. Even over the last 2 months, we've seen a lot of new features, which I'm going to be going over. And I do think that ultimately this changes how we use the Internet.

Jordan Wilson [00:11:15]:
Right? Yeah. Going going through going through everyone's, you you know, search engines here. So, yeah, we got Dogpile. We got Yahoo. We got Jeeves. We got Yahoo chat rooms. Love it, Tara. Yeah.

Jordan Wilson [00:11:29]:
So, now I barely use Google, if I'm being honest. Right? Like, anytime I'm trying to grab information from the web, I always do a split screen. I always have perplexity, and then I have ChatGPT, that is actually has some great, updates that came out 2 months ago to how browse with Bing works, but I've already covered that. So that is perplexity at a very high level. So like I said, if you do have questions as we go along, please get them in. I'll try to do my best, I'll try to do my best to get to any questions as we go along. Alright. So let's talk about kind of the different main features inside perplexity.

Jordan Wilson [00:12:17]:
And, again, right now, I'm just showing, showing some slides on my screen. Don't worry. We're gonna be doing some things live here in a second. Alright. So, essentially, let's talk threads. Okay? So threads think of threads as a chat. Okay? So if you just click the like, how you would in any other large language model, if you click the plus button or new chat, a thread is essentially a chat. So it's a full conversation with perplexity, including your initial questions and your follow ups.

Jordan Wilson [00:12:46]:
And then that's sort stored in a library. So you can always go back, right, and find something, perplexity answer that you did a month ago and continue on in that conversation. Okay? So that is what a threat is. And, so you can have a trillion of them. Right? You can just do one and keep going on. I would recommend, obviously, if if you've taken our prompt engineering course, this still works like a large language model. So you should have dedicated threads for, depending on the topic that you're researching. Okay.

Jordan Wilson [00:13:15]:
And then there is something called collections. Okay. So collections is essentially a way to organize related threads, and it can be shared with collaborators. So, yes, just like all other, kind of large language models, there's team settings where you can share a lot of these different tools. So collections, also a big thing is, you can have kind of a custom prompt for collections. So as an example, I have a collection that I use all the time. So if you read our newsletter, and if you haven't my gosh. Does anyone in in our livestream read the newsletter? I'm just curious, because I'm a human and I spend a lot of time on it.

Jordan Wilson [00:13:56]:
I write it every day. But one thing that I use perplexity for, an example of collections, because you can set essentially a set of custom instructions for your profile. Right? But if you use perplexity for a lot of things so let's say you could tell perplexity, hey. Always respond in short bullet points. But then what happens if you want to use perplexity to help you write a long form blog post? That wouldn't work. So a big key, element of collections is you can kind of set, essentially a specified prompt or custom instructions for anything within that collections. So in the newsletter every day, we have kind of what's called a try this section. Okay? So what that is is we break down the conversation for the day.

Jordan Wilson [00:14:37]:
You know, normally, I'm interviewing a super smart expert. I write it, and then, there's 3 main sections. Essentially, 3 main actionable points. And one thing I always try to do is to find, research, studies, statistics that go along with those three points. Right? So I have a collections, collection in perplexity that kind of has a custom prompt, and it says, hey. Here's what you got here's what you're gonna do. I'm gonna paste in these three main points. You're gonna go through and research and find me 3 different examples of recent facts, studies, figures from 2024 that are supplemental or complementary to these three main points.

Jordan Wilson [00:15:16]:
Right? Otherwise, I might have to spend every single day 30 to 40 minutes trying to find those. Instead, I can spend about 2 to 3 minutes reading through the ones that I think are best, click on them, make sure it's good, and then I can include that. Right? So that's just an example of a collection. Alright. Then we have pages. So pages are kinda new. So these are essentially in-depth articles or reports that are created from a thread. So you have the option that any thread you create, you can essentially publish that online and share it publicly, even those who aren't on your team or who don't even have a perplexity account.

Jordan Wilson [00:15:53]:
So more on that later, but this is actually a huge SEO play. Alright. And then last but not least is cards. So cards is also a new feature. And if you wanna know more about these features, we're not gonna be going over all these lives, live because it could take a while, but we've, covered all of these in our YouTube channel. Right? Yeah. We have a YouTube channel. It's kind of cringe.

Jordan Wilson [00:16:12]:
I know. I actually didn't pay attention to our YouTube channel until, one of our contacts from NVIDIA. So so shout out shout out to her. Kinda made fun of me. She said, Jordan, your your YouTube channel, it's kinda not good. So we started paying attention to it, but, yeah, we've covered all that on there. But cards are essentially a way to visualize certain data. The problem is not the problem, but the, the catch is it can be hard to actually generate those.

Jordan Wilson [00:16:40]:
And it really is, mainly for a couple, key data points such as up to date, up to date information on financial, economic data, etcetera. So cards are actually a little hard, to generate, and it's more, random, but I'm sure that will be improving. Alright. So now let's talk about the difference between free and paid, and this is huge. And, I'm actually curious for our, you know, livestream audience. Do you use the free version or the paid version? I think for whatever reason, so many people don't use the paid version. Right? Because it's like, oh, here's another $20 a month. Right? My subscriptions are stacking up.

Jordan Wilson [00:17:25]:
I'd say it's worth it. That's just me. I'm not getting paid by perplexity to say this, right, or OpenAI to say Chat gbt is the best. I care about your time. Right? And think of how right? I kinda describe that common scenario where it's like, oh, you need to research something for work and, you know, all of a sudden you have a 1,000 tabs open and you forgot what got you there in the 1st place. Right? Think about your time. How much is your time worth? And I'll I'll tell you. Almost every single time that I use perplexity, minimum, I'm saving 30 minutes.

Jordan Wilson [00:17:56]:
A lot of times, I'm saving hours. So if you are a business leader out there, think about how much your team's time is worth. Right? And also repost this because, we're gonna we're we're we're gonna be doing something fun later too. Alright? Alright. Had to grab a drink there. I'm a little thirsty. Alright. So the differences between free and paid, and, yeah, I was kinda right.

Jordan Wilson [00:18:21]:
It looks like most people on here, our livestream audience are using the free version. Alright. So there's there's some differences. I have them up on my screen here. But, essentially, really what you want is these pro searches. Okay? And if you have a free account, you essentially are limited to 5 pro searches a day. Or sorry. It's it's it's actually not per day.

Jordan Wilson [00:18:43]:
I believe it resets every, every 5 hours. At least it used to. I'll have to double check on that. On their page, on their pricing screen, it says every day, but I actually don't think that's what it is, unless they recently change it. Okay. But you do have unlimited quick searches. So think of it like this. A quick search is this ads.

Jordan Wilson [00:19:02]:
It doesn't go through a lot of depth. The pro search is much more, much more powerful. Okay? The other big difference with the pro, the $20, a month plan aside from having this much more powerful in-depth search, is you can choose a model. Okay? So, essentially, perplexity. So I started off by saying it's not a large language model. Right? It it needs an engine. Think of perplexity as an answers engine, but it needs an actual engine to run. So, if you're on the free plan by default, they essentially have an open source version of Llama, that runs it.

Jordan Wilson [00:19:43]:
So it's it's pretty pretty decent. Right? But if you are on a paid plan, you can use GPT 4 o from OpenAI. You can use SONNET, Claude 3.5 SONNET or, Claude 3 Opus. So you can essentially right? So think of all these things. A huge downside of Claude, right, is it's not connected to the Internet. But you can if you have a paid Claude account, you can use your API key and then essentially connect Claude to the Internet. Right? So as soon I kid you not. I didn't always have the paid version of perplexity because it's like, I got enough free free accounts, right, that I could switch around.

Jordan Wilson [00:20:21]:
But, hey, once Claude 35 Sonic came out, I instantly resubscribed. I go back and forth. Right? Because I have way too many subscriptions. But I instantly resubscribed to perplexity pro because, Claude 35 SONNET is really good, if I'm being honest. But it's not connected to the Internet. So you can connect it to the Internet via perplexity and then use it inside of perplexity. So, Yeah. You can also do AI images.

Jordan Wilson [00:20:46]:
Meh. I'm you you know, aside from Midjourney, I don't really care too much about AI images. So you can only use DALL E and, Stable Diffusion. Alright. And then you also get $5 a month worth of API credits. So that's the difference. Essentially, free version, you don't get a lot of these pro features that are super powerful and that ultimately give you the best and the richest results, and you cannot choose your own model. Alright? And you're kinda stuck with the default model, which isn't that great.

Jordan Wilson [00:21:14]:
It's passable. It's serviceable for many things, but the ability to use GPT 4 o from OpenAI and Claude 35 SONET from Anthropic is worth the price of admission. Alright. Let's get this thing going. Yeah. Woosie Woosie said and I hey. I'm sure other people can can relate here to what Woozy's saying. He said the other day I ended up working with 9 different Google profiles open all on different tabs.

Jordan Wilson [00:21:44]:
I'm guessing you meant to use, that many free versions of perplexity. Right? Alright. Here we go. So like I said, the pro search, yes. It does say. It reloads every 4 hours. Okay. So if you're on the free plan, you get 5 pro searches every 4 hours.

Jordan Wilson [00:22:04]:
Alright. So get your ideas in. Live audience. I need a famous product made by a famous company. Alright. Get it in now. I'm gonna be sharing my screen, so give me give me a second here. Gotta do some copying and pasting.

Jordan Wilson [00:22:22]:
But remember, we have a worldwide audience. Alright? So please try to think of a product that everyone knows, from a company that everyone knows. Alright? And I'm gonna give, an example here of a way that we can use perplexity. Alright? So in livestream audience or sorry. Podcast audience, I'm gonna do my best here to try to describe to you what we have going on. Alright. So give me a second here, y'all. We're gonna bring up perplexity, and we're gonna jump in and do this thing live.

Jordan Wilson [00:22:54]:
It's always it's always an adventure when we do these things live. Right? Unedited, unscripted. Could go terribly, but let's let's see how it goes. Alright. So a lot of people said, let's see. Coca Cola, Microsoft Surface. Let's see. IPhone.

Jordan Wilson [00:23:11]:
Okay. IPhone's a good one. Nike. Put put out a product as well, if if y'all don't mind. I kinda like I kinda like Nike. We might take Nike. Alright. And okay.

Jordan Wilson [00:23:25]:
Nike Air Jordans. Perfect. Perfect. Alright. So Kobe, Kobe said Nike. Thanks for the suggestion. And then we had Jonathan with the, Air Jordans. Love to see it, y'all.

Jordan Wilson [00:23:39]:
Love to see it. Okay. So here's what we're gonna do. Give me, give me a second here. So we're gonna say an, an update to Air Jordans by, Nike. Alright. So let's go ahead and do this. Alright.

Jordan Wilson [00:23:57]:
So copy and paste prompts are never the best, but for live, it kinda works. Alright. So let's go ahead and do this, and I'm gonna explain to you what's going on, as perplexity works. Okay. So I started this off. And, again, we're doing this live based on suggestions from the audience, but let me explain to you podcast audience essentially what we're doing here. So I'm saying, please take your time and focus on information from 2024 only. Please conduct a competitive SWOT analysis for launching a new product update to Air Jordans by Nike.

Jordan Wilson [00:24:29]:
Technically, it's Air Jordans by Jordan brand. So we'll actually see if that trips up. And I know this because I actually, for, like, 10 years, did a lot of close work with Nike and Jordan Brand. I was out at world headquarters all the time. Shout out to my old, Nike and Jordan Brand peeps. So I'm saying before doing the analysis, please first research the company and the product. Identify at least 3 major competitors who compete with that company and make a similar product. Then provide a detailed SWOT analysis of their strengths, weaknesses, opportunities, and threats or a competitive SWOT analysis.

Jordan Wilson [00:25:02]:
Include the company's SWOT as well as the 3 competitors. Focus on their credit, on their product offerings, pricing strategy, distribution channels, market positioning, customer reviews, and recent news or developments related to the product. Summarize the findings for each competitor in a detailed and pinpoint specific manner highlighting key factors that could impact the product and company success. Do not include any vague statements or generalized responses. Every detail should be well researched, analytically sound, precise, data driven insights, and evidence based information. However, in your reply, do not waste words and only reply with specifics and details as requested. Please take your time, go step by step, and research thoroughly. Alright.

Jordan Wilson [00:25:43]:
So I'm gonna go ahead. Hey. Little little pro tip here from someone that, uses perplexity and large language models way too many hours out of the day. I'm already I already have a follow-up, and I don't even need to read what's happening. This is how I recommend everyone use large language models. I'm essentially saying that is not specific enough. Please make one more attempt and re research this from scratch. Please go to all new sources.

Jordan Wilson [00:26:12]:
Okay. So that's the thing with perplexity, and I'm gonna show you why. But I'm gonna say I'm I'm saying please go to all new sources and redo the SWOT analysis. However, you can still keep the previous research in mind, but make sure to make a second pass at your research and seek out more detailed comprehensive and analytical sources. Alright? Essentially, we're just saying do it again right off the bat. Alright? And I'm gonna go ahead and show you kind of live how this works. Okay. So we're gonna look at the first one, and then we're gonna look at the second one.

Jordan Wilson [00:26:42]:
So now you'll see right here, this says Pro Search. And what I like about perplexity is you can go in and kind of check the work. Right? So it broke this down into 3 steps. Alright. So it says research. Step 1 is research the company Nike and their Air Jordan product line. Step 2, identify at least 3 major competitors that offer similar products to Air Jordans. And then number 3, conduct a detailed SWOT analysis for Nike's Air Jordan products and the 3 identified competitors.

Jordan Wilson [00:27:13]:
Alright. So, again, I do wanna point this out there. I cannot show you in a 30 to 45 minute, livestream slash podcast Every single feature. Alright. So I'm gonna go through some of them right now just so you know. I'm not gonna do all these live, but I'm gonna show you, essentially what perplexity is capable of and why you might wanna do this. Alright. So as an example, I'm now toggling down all of these three steps.

Jordan Wilson [00:27:40]:
So I can go in and see exactly what perplexity did at each step. Okay. So for step 1, it essentially Googled. Right? It Googled all these things. Right? So it it searched for major competitors to Nike Air Jordans 2024. Brand similar to Nike Air Jordans 2024. Competitors to Nike Air Jordan's 2024. That's for the first step.

Jordan Wilson [00:28:03]:
And then it read an article from Complex. It looked at a YouTube video for top 10 best upcoming sneaker releases. It went to sneaker dunk, Beast Strategy Hub, Reddit, Complex, etcetera. So, essentially, it shows you each step, what it searched, and the pages that it read. Step 2, conduct a detailed SWOT analysis. Same thing. It shows me what it searched. It searched 4 different terms, and then it went to it looks like 6 different, 6 different web pages.

Jordan Wilson [00:28:31]:
Alright. And then oh, that was the third one. So okay. Essentially, I can go and look at each different step of the process, see what it searched, and look at the pages. Alright. So let's just say as an example for this one, the second step, I saw that it went to a YouTube video. And I can hover over it, and I can see the exact video that it looked at. So this was a YouTube video that said, top 10 best upcoming 2024 sneaker releases.

Jordan Wilson [00:29:01]:
So let's just say, that could be anything. I don't want that re I don't want that in my, in my, kind of reports. Right? So I can go down. Let me see here. I gotta go to the bottom. There's a lot of stuff here, so give me a second. Alright. So at the bottom of the response from perplexity, there's some different options.

Jordan Wilson [00:29:23]:
Right? So I can share this. I can rewrite it. So if I click on rewrite, right, that's the thing. If you have the paid plan, I could say, oh, instead use GPT 4 o. My default now is Claude 35 SONNET. Alright. So I can share it. I can rewrite it.

Jordan Wilson [00:29:39]:
I can copy all the responses to the clipboard. I can edit the query or the 3 dots. Alright? So the 3 dots for more options is where the magic happens. Here's why. I can click view sources. Okay? So I can see all the different sources that were, kind of used. So I can go through and say, okay. Let's just say there's this, let's look.

Jordan Wilson [00:30:07]:
Alright. There's something from sneaker dunk. Right? So I can click that, and I can say, ah, that's probably not a reputable source. Or I can click 2, and then I can click remove 2 sources. Right? So if you look at the, the articles or if it looks like for some reason it's bringing in old information. That's why I started out that kind of prompt saying focus on 2024 only. Right? But if I see it's bringing in irrelevant information or information that could potentially be incorrect, I can go in, click those three dots, and remove any sources. And, essentially, once I click remove, it's gonna restart and rerun it.

Jordan Wilson [00:30:45]:
Okay? So that is the first thing that I wanted to show you. But y'all yeah. Michelle's saying here, you know, Jordan, mind blown as always. Fred, I did not write the prompt that quickly. I just copy and pasted it in. Alright. Monica, I didn't even think Jordan Jordans. Right? This is what I get for not sleeping.

Jordan Wilson [00:31:05]:
I didn't even know. Oh, we're talking about Jordans. My name's Jordan. Alright. So let's go and look at some of the results here. Okay. So, again, remember, before the first one was already done, I essentially said, do it again. Right? I love doing this huge hack.

Jordan Wilson [00:31:21]:
So, you know, I said that is not specific enough. Please make one more attempt, etcetera. Right. So now you'll see in the second attempt, it actually broke it down into 4 steps. Right? Because I said, hey. You didn't do a good enough job. Y'all, in any large language model, you should always just have a follow-up, essentially repeating yourself, saying it's not good enough, telling it to do more additional research, but saying it can use both. I spent thousands of hours using AI large language models.

Jordan Wilson [00:31:46]:
Huge hack. Just do that. Alright? So now I can go down here, and let's see the competitive SWOT analysis. Alright. So we here we have Nike, Air Jordans. It went through strengths. Let's see. Right? Because I actually know a lot.

Jordan Wilson [00:32:05]:
I know a lot more than the average person. Right? I was actually lucky enough, oh gosh, to to go into Nike's DNA store, which even a lot of employees can't go in there. You can see, like, essentially every single, important shoe ever made. Some of the most famous shoes ever. Like I said, not even all the employees can go in there. So I know I know a decent amount about, about, Jordans and Nikes, man. I used to just get unreleased shoes mailed to me. That was cool.

Jordan Wilson [00:32:36]:
Alright. So it says Nike Air Jordans. So strengths, iconic brand with strong heritage and loyal customer base, collaboration with top athletes and celebrities, innovative designs and technology such as Nike Air Cushioning, extensive distribution network and ecommerce presence, strong marketing, and brand storytelling. I'm curious for the weaknesses here. So it says higher price point compared to some competitors, overreliance on basketball and retro styles. That's true. A lot of the other other endeavors and other sports haven't been as well received by the market, aside from basketball and retro. Supply chain disruptions affecting inventory and releases, sustainability concerns around production practices.

Jordan Wilson [00:33:14]:
Sure. Opportunities. I'm not gonna read these, but, you know, you can go and read these or, you know, maybe I'll just share this. I'll I'll create this as a page, so you you can all go read this. And then we'll see what it saw as the other 4 biggest competitors to, Jordans. Right? So Adidas Yeezy, I'd say that's probably a pretty good competitor, right, especially as of recently. So it goes through strength, weakness, opportunity, threats. Oh, okay.

Jordan Wilson [00:33:43]:
I like this. It went through some key, competitive factors. So I noticed in the second one, it only gave me, one of the 3. Let me see if it did that for the first one as well. Okay. It didn't. So let me just go ahead and read the other competitors that it found. So it had the, Adidas Yeezys.

Jordan Wilson [00:34:02]:
It had the, Under Armour Curry, and it had the let's see. I saw the last one. Where was it? I think I think it was the New Balance. There it is. The New Balance Kawhi letters. So I probably without thinking right? Because a competitor wouldn't be another Nike or Jordan shoe. It would probably be something from Adidas, Reebok, Puma, Under Armour, etcetera. So I don't know if I would have said the New Balance Kawhi.

Jordan Wilson [00:34:28]:
I definitely probably agree with the the Adidas, Yeezys, and the Underarmors. Curry, I don't know what I would have picked for the third one. I don't know if it would be, the New Balance Kawaii. Maybe. I probably would have said one of the new, Puma athletes that have their own signature shoes, but, not not bad. Right? So I'm not gonna go through this, but you can already see. That is one way, and I can do anything with this information now. Right? I could say let's just say as an example.

Jordan Wilson [00:34:56]:
I could say, you you know, great. Please format this. Please format all of this information to be used in a Power Point presentation. Include all important details, so I can copy and paste each slide into PowerPoint as an example. Right? So that's the thing. And this is something that I think not just perplexity, but all large language models. People just have all this information floating out there. Right? So do something with it.

Jordan Wilson [00:35:30]:
Obviously, ChatGPT is the best with this because of all the different GPTs, but don't just leave that information out there. Do something with it. You know? Ask it to export as a CSV, etcetera. Alright. I do have one other, one other example. I just wanted to go over this one live. I had this one preplanned. I'm like, let me think of something kind of random.

Jordan Wilson [00:35:50]:
Kinda random. Right? So let's go ahead. Let's go ahead. So super random example, because I'm like, okay. This is good for researching anything. Right? Perplexity is just great for research. So let's just say as an example, you're looking for potential leads. Alright? So in this example, I'm saying, I sell software to large fertility clinics.

Jordan Wilson [00:36:14]:
Right? Please help me compile a list of potential customers. I'm looking, actually, my old company, Accelerate Agency. We were actually talking to a lot of fertility clinics, to help them with their digital strategy. This is why I kinda picked this example. So I said, I sell software to large fertility clinics. Please help me compile a list of potential customers. I'm looking for a comprehensive list of large fertility clinics located on the West Coast of the United States. So right.

Jordan Wilson [00:36:39]:
So let's say that you're selling software for fertility clinics. I know this is a niche example, but I just wanted to give you one. Right? And then I I'm saying these clinics should have detailed staff information available online, including either their president, CEOs, or lab directors. Please oh, I forgot. Whoops. I didn't grab my whole prompt, so I gotta start this one over. Alright. And I'm not gonna do the whole thing over from scratch.

Jordan Wilson [00:37:02]:
Don't worry. I'm just gonna give you a high level example. So, essentially, I'm saying I sell fertility software. I'm looking for clients on the West Coast that I could sell this to. Go look on all their pages. Here's what I wanna know. I wanna know the clinic name, the location, the city and state, the phone number, the name of someone potentially in charge, and a link to their staff or information page. Alright.

Jordan Wilson [00:37:28]:
And then if I scroll down here, look at this. It is already done. It is already done, and it has found it has found me. And let's just go ahead. You know you know, I'm curious. Let's check this, because you always have to make sure. Are there hallucinations or not? And that's the great thing about perplexity. And one of the biggest differences, I'd say, and one of the main reasons that people use it especially early on is because it cites its sources.

Jordan Wilson [00:37:51]:
Right? So in that Nike example, when it gave me all that information, I can hover over a lot of things and it gives you these little footnotes and, you can always go and check. Right? So now as an example so it it replied back with, okay. Number 1, Pacific Northwest Fertility. Gave me the location, the potential, person in charge, the phone number, and then the staff information page. Right? So if I jump over here, here's the staff information page. Let's see the person that it gave me, doctor Laura here. So, hey, doctor Laura. There you go, doctor Laura.

Jordan Wilson [00:38:20]:
Alright. So pretty simple. Right? And then what I can do, right, because this is actually a lot. If you were doing this manually, it would probably take you a decent amount of time. Yes. There's, you know, lists that you can go buy and and do all these things, but maybe you just have a very specific research task like this one. Right? And maybe you're like, oh, I wanna grow our business just on the West Coast. Right? And I have maybe very specific criteria.

Jordan Wilson [00:38:45]:
So maybe if I'm working with, an outsourcing company or a list building company, maybe they don't have that kind of specific information. Well, guess what? Perplexity is doing all this work for me. Look. It's going on dozens of websites at once. So, essentially, I just did another prompt, and I'm gonna do it, I'm gonna do it again, and then I'm gonna show you what we can do with it. Right? We're gonna let it finish here. Alright. It's done.

Jordan Wilson [00:39:08]:
So essentially what I did 2 more times, I'm asking it to do 5 at a time. Any more than that, knowing that it's probably gonna go to about a dozen websites at once, it might stop working. I think perplexity kind of starts to to tinker out once it goes to more than 20 websites, or it might not be able to complete your query. So I'm just asking for 5 at a time, but then when I'm done, I essentially have a simple prompt that says, great. Now please take your time in researching in 5 find 5 additional clinics. Please do not include any clinics you previously listed. Please do not stop until you finalize a new list of 5. Remember, it can be any large clinic that fits my criteria.

Jordan Wilson [00:39:42]:
Please take your time. Go step by step and research deeply. So, essentially, I ran this 5 times, and I'm saying, great. Thanks for this. Now please convert all of this to a dot CSV format. Alright? So then it's like, okay. What do I do with this? Do I have to copy and paste it, reformat it, etcetera? No. You can just ask perplexity.

Jordan Wilson [00:40:02]:
It's gonna go through now. All of those, it should be 15, 15 for very specific fertility clinics that match what I'm looking for. I'm trying to sell software to them. It has a contact person, presumably someone that would be in charge. It has a phone number, location, all of this. Right? Anything that would be available on their website, I could ask for an email, you know, although it would probably just give me a general email, which could be fine. Right? But now it's all done. It's all in, CSV format right there.

Jordan Wilson [00:40:30]:
I can copy and paste. Bam. Awesome. Alright. So that's enough live. I see a couple questions in. Cecilia asking, how long did it take to write that prompt? I I I wrote it, I don't know, at midnight. Took me, I don't know, 30 30 seconds, 45 seconds.

Jordan Wilson [00:40:50]:
All I do is prompt. Right? So my brain thinks in prompts, so it doesn't take me too long. Cecilia Cecilia is asking here, another great question. Thanks for this, Cecilia. Is it possible that given its search abilities, perplexity may find info that is not popular SEO but interesting? Yes. And you can even, you know, kind of request that. Right? You I could even say, you know, don't focus on popular, you know, results that may be at the top of the search engine. So, yeah, you can give it very specific, you know, very specific kind of long tail or long query, information that would generally take many hours to research.

Jordan Wilson [00:41:30]:
Right? So even to get that list of 15 for, fertility clinics in a CSV format probably would have, I don't know, taken an hour? Maybe? Maybe longer? I don't know. But I just did it live in like, I don't know, 3 minutes. So, y'all, it's all about how much time can you save. Alright. Fred with a question here. Other than citing sources, can you summarize the difference between perplexity and ChatGPT-4 o? Great question, Fred. Yes. So perplexity is an answers engine that uses other large language models.

Jordan Wilson [00:42:09]:
It is not technically a large language model itself. So, GPT 4, like I said, they released an update to browse with Bing that actually really kind of helps it compete with perplexity. But for the most part, you need an engine that makes the car go. Okay? Perplexity is a very specific kind of car that needs a good engine. Right? Whereas Chad GPT is kind of the engine in the car, or Claude is the engine in the car. Right? But, the car in perplexity is very unique in that it essentially can browse, you know, 20 sites at once, which is something that most large language models actually, none of them can browse that many. And it you can give it specific directions. So it essentially saves all that time googling.

Jordan Wilson [00:42:55]:
So, perplexity is very unique that it essentially can just do all of the targeted research for you. Alright. So, I didn't want this to turn into an hour episode, so we're gonna go kinda quick here. So we we we did our overview. We did some live, some live examples. So I hope that was helpful. Now let me quickly give you 5 important things that I think you need to know about perplexity. Great timing here.

Jordan Wilson [00:43:23]:
So number 1, it's not a large language model. It's actually just an answers engine with citations. Yes. So it does have, its kind of built in model that's based off of, meta. So it's not like a bad model that it has by default. But with the pro plan, you can choose between Claude 35 SONNET. So SONAR large is, I believe, the default perplexity model that's based off of Meta's llama 3 or sorry. Not Meta's llama 3, Google's llama.

Jordan Wilson [00:43:59]:
Right? Wait. Hold up. I don't I don't sleep. Sorry. That's that's Meta's Meta's Llama. I don't know. I was thinking Lambda. So it's based off of Metas, Llama 3.

Jordan Wilson [00:44:11]:
And then you have GPT 4 0 from OpenAI, Quad Free Opus. Right? So if you have the paid plan, you can choose what model you essentially want running the car. But the biggest difference is perplexity is an answers engine. It is not technically a large language model by default. It just browses, you know, dozens of websites at one time very quickly. That is what it is for. And when you tap into these other models, if you do have the pro plan, I think that's where the best combination and the best return on your investment and how you can literally, depending on what you do, potentially save hours with an s. Hours a day if you have to do a lot of, market research, if you have to do a lot of competitive analysis, if you have to do a lot of studying, market forecasting trends, etcetera.

Jordan Wilson [00:44:54]:
Alright. Did we skip over number 2? We might have. Let me see. Give me a second. Alright. Well, apparently, it's 4 things today. Alright. Number 3, perplexity accepts hey.

Jordan Wilson [00:45:06]:
That's how you know it's done by a human. I thought I had 1, 2, 3, 4, 5, but I might have deleted number 2. So I'll let you know anyways. Alright. So perplexity accepts files. So you can also upload files just like you can inside of ChatGPT. Probably ChatGPT has the most, wide range of file types that it supports. You can upload different files in Claw, Gemini, etcetera.

Jordan Wilson [00:45:28]:
Copilot too. So Perplexity also accepts files, PDF, text files, CSV, etcetera. But if I'm being honest, it's not that great at reading long, like long ones. Right? It's just not. It does okay with short ones. It does pretty good. So, you know, let's say you have a PDF. You can upload a PDF, ask it a question, and it will use your PDF as one of the sources, but then it can still go to all these other sources.

Jordan Wilson [00:45:54]:
Oh, I remember what number 2 is, y'all. I I remember what number 2 is. So, we'll do number 2. We'll we'll we'll do it live, and we'll show you back the, the screen here. So number 2 is you can decide your focus area. Again, I can't cover every single feature in perplexity, but you can set a set of focus for your sources, which is actually really helpful. So by default, it's set to all. Right? But you can do academic.

Jordan Wilson [00:46:19]:
So it's only just gonna go through search through published academic papers, writing. So in that case, it's more for generating, text without searching through the web. Right? So if you're just asking for essentially responses like you would a large language model, There's a math mode to help you solve and find numerical answers. Video mode, which I love. It essentially just searches YouTube videos. Right? Which is great, especially for trending things, recent things, and then socials. So this will search discussions and opinions. So by default, it goes to all, which is why in that Air Jordan example, it went to a lot of web pages, but it also did go to some YouTube videos.

Jordan Wilson [00:46:57]:
So depending on what you're asking, if you do the all mode in focus, it might bring in some research papers. It might bring in some, you know, random Internet articles. It might bring in some YouTube videos, but you can set the focus, right, which is a super, a super helpful feature. That was number 2. Number 3 is, uploading documents, and it does okay at that. Number 4, Perplexity is in some hot water. Yeah. They're in some hot water.

Jordan Wilson [00:47:26]:
Just like most large language model makers, and here's why. So Amazon so I I have 2 kind of screenshots from, some some different articles. So Amazon is reviewing reports that perplexity is scraping online news without approval. Also and these are recent stories over the last couple of weeks. Also, a Fast Company article here talking about how perplexity CEO is responding to, accusations of plagiarism and infringement. So, essentially, right and this is a bigger discussion. Right? But there's been accusations and, you know, people have kind of shown it to be somewhat true. I'm not gonna be the one that legislates that, but, you know, there's been some reports that people are saying, hey.

Jordan Wilson [00:48:07]:
This website is blocking scrapers. Right? So a lot of these media companies for a year or more essentially since chat gbt came out, they block all of these scrapers. Right? So if I, put something into perplexity, let's say I don't want Perplexity and ChatGPT and Gemini and Claude to be scraping my information to be used in their large language models. So essentially, in a file on your website that's called a robot dot txt, it can say, hey, scrapers, you can't go here. Right? Hey, perplexity, can't use this. Right? You you know. But there's been a lot of reports that are saying, oh, perplexity is just using a third party service that is bypassing all of those rules. Right? So generally these scrapers will follow those directions.

Jordan Wilson [00:48:52]:
So there's been some accusations that perplexity is skirting around, some of these, some of these basic, you know, privacy, IP, copyright rules, and bringing all this information in. Alright. Alright. So I think there was 5. Alright. Number 4. It has a discover. Right? A discover.

Jordan Wilson [00:49:12]:
I'll show you what that is. Which so it has a discover tab, which is actually geared, I think, more towards social media sites, which is interesting for a social media site. Right? Or for a large language model. So if I click this little discover tab here, this is all just kind of this trending news. And as an example, you might be wondering why. So, here's here's something that says nothing's, CMF big launch day. So nothing is a pretty pretty big I'd say maybe not big, but a niche, technology brand. So this is one of the trending stories.

Jordan Wilson [00:49:49]:
So it's like, okay. I can click this. And this is remember when we talked about pages earlier? Right? Anything that you create, you can essentially publish as a web page that's open for the web. So this has been a huge play that perplexity has been undergoing. Chat gbt is also doing the same thing, and I'll tell you why. So, now just as an example, I'm gonna search this. Right? Guess what? So now if I search this, this kind of, about c m f is big c nothing CMF is I can't speak, y'all. Nothing CMF, their big launch day.

Jordan Wilson [00:50:24]:
Yeah. This is unedited, unscripted. Sorry. But there it is. The result that perplexity just made in their page, perplexity page, is the top search result. So Perplexity is making a huge push to essentially be a search engine because now, guess what, not only are they taking away traffic from places that would normally be getting traffic and you get all this ad revenue. Right? So they're not only doing that with users who are using perplexity, but they are also trying to gain users who are searching for certain things to come and land on their page, presumably, for ad revenue, right, in the long run and just for user acquisition. So, that's a pretty big piece as well.

Jordan Wilson [00:51:10]:
And that leaves me with number 5, which is related. Perplexity, whether they're saying it or not, is trying to kill traditional search engines and kill traditional web browsing. And I'm here for it. I'm here for it. Right? I do think that this is the future of how to use the web, y'all. I've talked about this on the Everyday AI Show many times. Using the Internet is freaking unbearable right now. Right? Because what's happened over the past 2 years is ChatGPT, their traffic and users have gone through the roof.

Jordan Wilson [00:51:50]:
And as their browse with Bing improves, people are using the Internet much less. Perplexity, same thing. Google, you know, they've been trying to get their AI overviews, formally. Search generative experience right. Same thing. But all these companies are essentially trying to provide you answers. Everyone's trying to become an answers engine. Right? Google, Microsoft with their copilot, Perplexity, ChatGPT.

Jordan Wilson [00:52:16]:
So fewer and fewer people are actually clicking on websites. I don't think you should, if I'm being honest. Will a lot of these companies face huge lawsuits? Absolutely. You know, that's another thing for another day, but take advantage of it now. But I think the future of using the web is not doing traditional website searches. Right? And for a lot of people, if you're in SEO, I've said this for a long time. Unless your, you know, kind of your main thing is a local service based business, I don't know about the future of SEO because I think the future of SEO is people using these answer engines, like perplexity, like Microsoft Copilot, like open OpenAI's browse with Bing inside of ChatGPT, like Google whenever they get their AI overviews and SGE, and and Google Gemini, Internet connectivity figured out. I think that's the future of using the Internet.

Jordan Wilson [00:53:07]:
It saves you time. And when you go on the Internet right now, it is terrible because all these major publishers are losing so much money from so many fewer people visiting their websites. They just have to double, triple the amount of ads. I've showed this on the show before. I've showed screenshots. I've showed live. There's literally websites I go on now if I'm on a smaller laptop. I can't see the content when I land on the page.

Jordan Wilson [00:53:31]:
There's a banner ad, there's a sidebar ad, and there's a main screen ad. There's 3 ads, and I literally cannot get to the content. I kid you not. Right? The Internet is becoming unbearable, but maybe that's because it wasn't that great to begin with. So I do think perplexity, if you haven't used it yet, you should. Right? Use browse with Bing the same way. Let me know if you want an episode on that. So that is a very long recap on perplexity, how to use it, and 5 things that you need to know.

Jordan Wilson [00:54:03]:
I hope you all enjoyed this episode. You all voted for it. We just hey. We're just here. We work for you. So, thank you for those of you tuning in live. Podcast people, I know this one was a little bit all over the place. Hopefully, this was still helpful.

Jordan Wilson [00:54:15]:
Again, check your show notes. You can come back and watch this video. If there's a certain thing you were like, wait. What did he talk about here? I need to see exactly how this works. You you know, I know I don't always do the best job, describing things visually, but I still hope this was helpful. Go ahead. Anyone who repost this, if you haven't already, do it. And don't worry, we did the same thing yesterday.

Jordan Wilson [00:54:36]:
We're gonna be, announcing those winners, tomorrow, for a, free consult. But if you're on LinkedIn right now, you gotta do this on LinkedIn, click the repost. I'm gonna send you a video of 3 additional ways. And one of them I haven't really seen anyone talk about. I'm gonna show you 3 additional ways that we use perplexity that I think are gonna be extremely helpful. So anyone that reposts this, it takes you 3 minutes y'all or 3 seconds. I was up to, like, 12:30 last night working on this show. Show some some show some support, y'all.

Jordan Wilson [00:55:11]:
Yeah. Repost this. I'll send you a video 3 other ways. I'm not gonna post it anywhere else. I hope this was helpful. Please go to your everydayai.com. Sign up for the free daily newsletter where there'll be a much more summarized version of this long podcast, long livestream. Thank you for tuning in.

Jordan Wilson [00:55:25]:
Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.

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