WEBVTT

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So we're looking today at this really interesting

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mismatch, you could say, how people are using

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these incredibly powerful new research tools

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like Perplexity. Yeah, it's striking, isn't it?

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The core issue, really, is that most folks are

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using this massive computational power almost

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like a basic phone. They ask simple questions,

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get simple answers, and they're completely missing

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what's actually under the hood. Exactly. It's

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like having a Formula One car and only driving

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it to the grocery store. They're getting these

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basic results because the inputs are, well, basic.

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They're kind of misusing what ought to be this

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tireless, super specialized research partner.

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Right. So our mission here in this deep dive

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is to help you map out a different way to operate.

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We need to shift our thinking, yours and ours,

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from just using AI or an LLM that's a large language

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model to really working with it. The aim, creating

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real professional measurable value, stuff that

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can actually generate income. And the source

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material we're diving into gives us four pretty

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distinct models for doing just that. We're going

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to cover... building high -value digital assets,

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becoming a trusted kind of affiliate advisor,

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how to sell specialized business intelligence

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services, and the last one is creating these

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living learning programs that stay current. It's

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a totally different way to think about monetizing

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what, you know, using these tools. Definitely.

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So let's start with the tool itself, Perplexity.

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Why is it fundamentally different, say, compared

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to Google search or even some other AI chat tools.

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Well, what's really fascinating, and I think

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key, is the immediacy. You know, most older AI

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models, they're trained on data that might be

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maybe even months old. Perplexity, though, uses

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the Internet right now. Right now. So if you're,

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say, a market analyst, you could literally track

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breaking news or watch stock trends shift or

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see what's blowing up on TikTok. Like, as it

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happens, that speed. That's a huge competitive

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edge. Huge. And then there's the trust factor.

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This is big. Every answer it gives includes clear

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source links, you know, those little numbers

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you see. That's how you, as a professional, prove

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your points. You can cite authority. That ability

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to instantly cite sources. That's incredibly

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valuable if you're dealing with clients. You

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can say, look, this finding, it's based on this

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specific Forbes report, or this data comes from

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a Stanford study. It's verifiable. Right. And

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that ability, it enables much deeper conversations.

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It's not like those single shot question and

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answer tools. Perplexity lets you follow a real

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research path. Start broad. then dig in, ask

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follow -ups, iterate. It's like stacking Lego

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blocks of information until you uncover those

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non -obvious connections. And the Smart Summaries

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feature, that feels like where the real leverage

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comes in. The AI does the heavy lifting, right?

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Reading multiple articles, pulling out the key

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info, synthesizing it into one clear answer.

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It frees you up from the grunt work of just gathering

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information. Yeah, it does. But that brings up

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a really important question, doesn't it? If the

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AI is handling all that information gathering,

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the rote stuff, Where does the human add the

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value, the part someone actually pays for? That's

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the core of it. We provide the thinking, the

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analysis, the prioritizing, the context for making

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decisions, and maybe most importantly, the wisdom,

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turning that raw data into something truly useful

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and actionable outcome. Precisely. It's that

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wisdom, that judgment, that we're going to figure

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out how to monetize with these methods. Okay,

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so let's move into that first method for generating

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income. building what the source calls citation

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-worthy digital assets. The idea here is shifting

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focus from just, say, writing a disposable blog

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post to constructing something more permanent,

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a digital asset that can potentially earn passive

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income. Yeah, and the goal isn't just to answer

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one question. It's about becoming the go -to,

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most trusted, most complete source for a whole

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specific topic area that you've targeted. And

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that process starts with step one. You've got

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to find the content gaps. And critically, you

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use actual search data for this. You don't just

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guess what people might want to know. Find those

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questions people are asking a lot, but where

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are the existing answers? They're just not very

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good. Exactly. And this is where using a professional

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prompt structure is absolutely crucial. You don't

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just ask perplexity, you know, what should I

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write about guitarist? That's way too vague.

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Right. You need to instruct it more specifically.

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Something like, act as an expert SEO analyst.

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For the topic, acoustic guitar for adult beginners

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identify subtopics that get high search volume

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but lack comprehensive, high quality content

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based on analyzing forums like Reddit and popular

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guitar sites. Perfect. And that detailed approach

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reveals really specific gaps. The example they

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used was great. Singer pain for beginner guitarists.

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Most articles just say, practice more, which

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is frankly useless advice on its own. Yeah, totally

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unhelpful. The gap is the lack of specific finger

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strengthening exercises or maybe tips on getting

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your guitar professionally set up to make it

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easier to play. That's the actionable advice

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that's missing. And that gap, that's where the

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value is. That's your opportunity. Once you find

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it, the article you create needs to deliver.

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It has to provide a direct, simple answer right

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near the top. And use specifics. Numbers. Proof.

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Don't you say practice makes cords faster? Come,

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get precise. Practicing these specific cord changes

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for 15 minutes daily can reduce your change time

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from, say, three seconds down to under one second

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within about four weeks. That's concrete. That's

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provable. So boiling it down, what's the absolute

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key element that makes this digital asset trustworthy,

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both for the AI search crawlers and for your

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human leaders? Specific, accurate facts and proof

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points. And crucially, Those facts need to be

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backed up by verifiable sources that perplexity

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itself can see and reference. That's the foundation.

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OK, solid. Let's pivot to method two, then. This

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one is about becoming a trusted advisor, specifically

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using affiliate marketing. Yeah, this model is

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interesting. It positions you as like a champion

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for the consumer. Your income comes from helping

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people make genuinely smarter buying decisions

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and importantly helping them avoid the costly

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mistakes, the lemons. So the core task here using

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perplexity is to act almost like a detective,

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a financial detective maybe. You're digging for

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that hard truth that the stuff product marketing

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teams often try to sweep under the rug. Exactly.

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So you're prompting the AI really strategically,

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like analyze all the one -star and two -star

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reviews for this popular espresso machine, not

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just on Amazon, but go look at Reddit threads,

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check dedicated forums like homebarista .com,

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list the top five most common technical complaints

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people have. Or you could go beyond just features.

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Calculate the real cost, ask the AI. Calculate

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the total three -year cost of ownership for this

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machine purchase price, plus the cost of replacement

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filters, the special cleaning solutions. estimate

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the electricity usage, now compare that total

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cost with top three competitors. That comparison,

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that's valuable content right there. Totally.

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And then you frame your articles with these really

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sharp angles. Things like five things you absolutely

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must know before buying this. The unfiltered

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truth from unhappy customers. Or maybe creating

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comparison guides based on user types. You know,

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why this product might be a disaster for a casual

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user, but actually fantastic for a serious hobbyist.

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You're giving tailored advice. Building that

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long -term trust, though, that seems absolutely

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crucial here. And it's probably not always easy,

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I have to admit. Sometimes even I messle with,

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like, prompt drift. Making sure my questions

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to the AI are genuinely neutral. And I'm not

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subconsciously nudging it towards recommending,

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say, a product just because it has a higher affiliate

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commission. Beat. Maintaining that integrity

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takes real, constant effort. It's difficult.

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It really, really does. Because one slip -up,

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one lazy recommendation, or even just failing

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to update an old review when a product changes

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or has known issues, that can just shatter your

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reputation instantly. Trust is incredibly fragile

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online. But, okay, think beyond just the immediate

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commissions. What's the real long -term asset

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you gain from doing this affiliate advisor strategy

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right? It has to be the loyal audience. People

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who genuinely trust your recommendations and

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keep coming back because they know you're giving

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them the straight scoop, the honest advice. That

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loyalty. That's the ultimate prize. That's the

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sustainable value. Okay, let's explore method

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three. This one sounds like it has the highest

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income potential, providing high -value business

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information services. Yeah, the idea here is

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you essentially become the outsourced part -time

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research department for small to medium -sized

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businesses, SMEs. These are companies that need

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sophisticated market intelligence but maybe can't

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afford a full -time internal research team. You're

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selling them professional answers packaged up.

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Right, and you package it very clearly. Clients

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aren't buying your time, they're buying a specific

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product. Things like a deep dive competitor analysis

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report or a monthly market trends briefing or

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maybe a new market entry feasibility study. defined

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deliverables. And just think about the complexity

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of the research one person can manage now with

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a tool like Proplexity. Imagine a client, say

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a small company, wanting to launch a new artisanal

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coffee brand, maybe specifically targeting Hanoi

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in Vietnam. Okay, yeah. That professional prompt

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you'd feed, Proplexity would be intense. You'd

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be asking it to do a lot. Analyze competitor

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pricing, find out where they're selling online,

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specific cafes, retail locations, what's their

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social media strategy, then... Gather demographic

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and psychographic data on the target customer,

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say 25 to 35 -year -olds in Hanoi. What are their

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buying habits? Where do they hang out? Then,

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based on all that, recommend a channel strategy.

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Should they use local influencers? Focus on events.

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And finally, list the specific risks and opportunities

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for entering that market. Slowing down slightly.

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Whoa. I mean, just pause and think about that.

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The amount of traditional consulting work, the

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cost associated with generating a report that

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deep. We're talking thousands, maybe tens of

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thousands of dollars. And now, potentially, one

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person with the right skills and the right AI

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partner could generate that level of insight

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in hours, maybe days. That scalability, that

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power in the hands of one person, that's pretty

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revolutionary. That's the moment of wonder right

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there. It really is. But here's the catch. Just

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dumping raw data on a client, that's useless.

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No CEO has time for that. The real value, the

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part you monetize heavily, is turning all that

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data into a compelling narrative. You must provide

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an executive summary, one page, talks hitting

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the key findings and clear recommendations for

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that busy executive. And those recommendations

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need to be shark -specific, actionable. Don't

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just say, oh, the Hanoi market looks promising.

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No. Say, based on the data, you should collaborate

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with these five specific food bloggers. Or consider

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opening a pop -up shop in the Tejo district during

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the lead -up to the Tet holiday. concrete steps.

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Okay, so here's the strategic question then.

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If the underlying data itself is becoming more

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accessible, potentially to anyone with a perplexity

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subscription, what are clients really buying

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from you, the human advisor? Confidence. They're

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buying the confidence to make expensive, high

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-stakes business decisions based on your analysis

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and interpretation. That's it. Confidence is

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the product. Okay, moving to our final method,

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method four, building what are called living

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learning programs. The problem this tackles is

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pretty obvious to anyone who's got an online

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course. They get outdated, fast, especially in

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tech or marketing fields. So your competitive

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advantage here isn't selling a static course,

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it's selling freshness. You sell a knowledge

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update service, usually through a subscription

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or a membership model. Right, and you use the

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AI, again strategically, to design a course that's

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perpetually better than the competition. How?

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You prompt perplexity to analyze the content

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and the student reviews of, say, the five top

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-selling courses in your niche on platforms like

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Udemy or Coursera. OK, so you're using AI to

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basically perform competitive intelligence on

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other courses. And that analysis instantly highlights

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maybe advanced topics they missed, or more likely,

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recent algorithm changes or new platform features

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that those older static courses haven't covered

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yet. You build your curriculum specifically around

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what's currently missing elsewhere. Exactly.

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And the key is structuring the program itself

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for easy, ongoing updates. You might set it up

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like part one is the foundational stuff, the

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basics that don't change much. Part two covers

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core strategies, but you commit to updating that

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section every, say, three months. And part three

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is maybe a news and trends module that gets refreshed

00:12:14.460 --> 00:12:16.860
monthly with the latest developments. And the

00:12:16.860 --> 00:12:19.039
marketing angle flows directly from that structure.

00:12:19.179 --> 00:12:21.679
You position your program explicitly on the promise

00:12:21.679 --> 00:12:23.840
that it is the most up -to -date source of practical

00:12:23.840 --> 00:12:26.919
knowledge in that specific industry. That commitment

00:12:26.919 --> 00:12:29.519
to freshness justifies the subscription model

00:12:29.519 --> 00:12:32.580
and hopefully creates stable recurring revenue.

00:12:32.860 --> 00:12:34.779
So thinking about that model. What's the value

00:12:34.779 --> 00:12:37.379
proposition for the teacher running the program

00:12:37.379 --> 00:12:39.679
and for the students subscribing? For the teacher,

00:12:39.940 --> 00:12:42.820
it's stable, predictable income, which is huge.

00:12:43.279 --> 00:12:45.360
For the student, it's the confidence that they

00:12:45.360 --> 00:12:47.580
always have access to the best, most current,

00:12:47.659 --> 00:12:49.940
most relevant knowledge to succeed in their field.

00:12:50.480 --> 00:12:52.679
Win -win. Yeah, that makes a lot of sense. So

00:12:52.679 --> 00:12:55.320
that gives us four really practical frameworks.

00:12:55.539 --> 00:12:58.700
Pulling it all together, the big idea seems crystal

00:12:58.700 --> 00:13:02.019
clear. AI isn't about replacing human expertise.

00:13:02.600 --> 00:13:04.559
Not at all. It's here to augment us, to make

00:13:04.559 --> 00:13:07.259
us better, faster, more capable. The future really

00:13:07.259 --> 00:13:09.820
belongs to those individuals who learn how to

00:13:09.820 --> 00:13:12.779
partner effectively with AI to tackle complex

00:13:12.779 --> 00:13:15.299
problems, problems that maybe seem too big or

00:13:15.299 --> 00:13:17.539
too time -consuming before. Absolutely. And to

00:13:17.539 --> 00:13:19.500
make that partnership successful, the source

00:13:19.500 --> 00:13:21.860
material highlighted four critical mistakes that

00:13:21.860 --> 00:13:23.759
professionals need to avoid when they start using

00:13:23.759 --> 00:13:26.639
these powerful tools. Number one, you absolutely

00:13:26.639 --> 00:13:28.629
must be specific in your requests. That's right.

00:13:29.309 --> 00:13:31.769
The old way, the sort of amateur approach, is

00:13:31.769 --> 00:13:34.149
asking a vague question like, how do I do marketing?

00:13:34.389 --> 00:13:37.940
You'll get a generic, useless answer. The professional

00:13:37.940 --> 00:13:41.059
way is much more detailed, like create a comprehensive

00:13:41.059 --> 00:13:43.860
three -month marketing plan for a new B2B sauce

00:13:43.860 --> 00:13:46.259
product. The target audience is tech startups

00:13:46.259 --> 00:13:49.460
with 1050 employees. The total budget is under

00:13:49.460 --> 00:13:52.860
$5 ,000. Focus exclusively on digital channels

00:13:52.860 --> 00:13:55.159
like LinkedIn ads, targeted email, and maybe

00:13:55.159 --> 00:13:58.019
one relevant industry webinar. Outline key metrics

00:13:58.019 --> 00:14:00.840
for success. See the difference. That kind of

00:14:00.840 --> 00:14:02.399
prompt gives you something you can actually work

00:14:02.399 --> 00:14:05.460
with immediately. Huge difference. OK, mistake

00:14:05.460 --> 00:14:08.059
number two to avoid. You have to dig deeper.

00:14:08.419 --> 00:14:11.379
Never, ever just accept the first answer the

00:14:11.379 --> 00:14:13.820
AI spits out. You need to constantly push it.

00:14:13.980 --> 00:14:16.889
Ask why. Ask, what are the potential risks or

00:14:16.889 --> 00:14:19.470
downsides of this approach? Ask, can you provide

00:14:19.470 --> 00:14:21.809
three alternative examples or strategies to your

00:14:21.809 --> 00:14:23.889
probing? Number three is about integrity. You

00:14:23.889 --> 00:14:26.750
must be honest and accurate, always. This means

00:14:26.750 --> 00:14:28.809
taking that extra step to verify the original

00:14:28.809 --> 00:14:31.309
sources that perplexity provides in its citations.

00:14:31.549 --> 00:14:33.830
Double check the facts. Your professional credibility

00:14:33.830 --> 00:14:36.389
is entirely built on that foundation of accuracy.

00:14:36.710 --> 00:14:39.129
Don't get lazy here. It's so important. And the

00:14:39.129 --> 00:14:41.789
final one, number four, you have to understand

00:14:41.789 --> 00:14:45.500
the why. Remember, the AI is brilliant at providing

00:14:45.500 --> 00:14:47.860
the what, the data, the information and synthesis,

00:14:48.019 --> 00:14:51.659
the summaries, but the human, you, provide the

00:14:51.659 --> 00:14:54.879
so what. The interpretation, the strategic insight,

00:14:54.960 --> 00:14:57.799
the ethical considerations, the wisdom, that's

00:14:57.799 --> 00:14:59.919
your unique contribution. It really feels like

00:14:59.919 --> 00:15:03.440
we're in this golden window of opportunity right

00:15:03.440 --> 00:15:06.539
now. These AI tools like Perplexity are incredibly

00:15:06.539 --> 00:15:09.639
powerful, but the knowledge of how to apply them

00:15:09.639 --> 00:15:12.179
professionally, strategically, that's still relatively

00:15:12.179 --> 00:15:14.559
rare. building that skill set now, learning how

00:15:14.559 --> 00:15:17.460
to genuinely work with AI, that's what will establish

00:15:17.460 --> 00:15:19.980
you as an expert, maybe even a leader, in the

00:15:19.980 --> 00:15:22.240
very near future. Yeah, think about it. Soon,

00:15:22.460 --> 00:15:24.820
maybe in just a few years, basic AI literacy

00:15:24.820 --> 00:15:26.840
might be as common and expected as knowing how

00:15:26.840 --> 00:15:29.379
to use a spreadsheet or send an email. The people

00:15:29.379 --> 00:15:31.480
who started today, who put in the effort now

00:15:31.480 --> 00:15:33.639
to master these collaborative workflows, they'll

00:15:33.639 --> 00:15:35.240
be the ones who are already established, the

00:15:35.240 --> 00:15:37.360
recognized leaders, when everyone else is just

00:15:37.360 --> 00:15:39.259
catching up. So let's leave our listeners with

00:15:39.259 --> 00:15:41.960
a final thought to mull over. A provocative question,

00:15:42.279 --> 00:15:45.419
perhaps. If AI truly is this tireless, incredibly

00:15:45.419 --> 00:15:49.259
capable research partner available 24 -7, what

00:15:49.259 --> 00:15:52.059
complex human problem, maybe something in your

00:15:52.059 --> 00:15:54.759
field or even a societal issue that you previously

00:15:54.759 --> 00:15:57.200
thought was just too complex, too data -intensive,

00:15:57.379 --> 00:15:59.879
too time -consuming to even attempt to solve?

00:16:00.620 --> 00:16:03.600
What problem can you now realistically tackle?

00:16:03.879 --> 00:16:06.080
That's the challenge. Pick one of those four

00:16:06.080 --> 00:16:07.840
strategies we talked about, building digital

00:16:07.840 --> 00:16:10.580
assets, becoming that trusted advisor, offering

00:16:10.580 --> 00:16:13.039
high -value business info services, or creating

00:16:13.039 --> 00:16:15.159
living learning programs. Choose one that resonates,

00:16:15.279 --> 00:16:17.720
and then start that conversation. Start working

00:16:17.720 --> 00:16:20.360
with your AI research partner today. That's genuinely

00:16:20.360 --> 00:16:22.200
how you step into the future of high -value,

00:16:22.419 --> 00:16:22.899
meaningful work.
