March 24, 2026
Zero Click Search Is Killing Creator Traffic — Here's How to Win With AI Answer Engines Instead
Did you like the episode? Send me a text and let me know!! How to Win at AI Search: The Complete Audience Building Blueprint for Creators Stop shouting into the digital void. In this episode, we break down the exact system for building an audience using AI search optimization, TikTok SEO, and podcast growth strategy — starting from absolute zero. What You'll Learn: Why "build it and they will come" is killing your growthHow AI tools like ChatGPT, Perplexity, and Google AI Overviews are the ne...
Did you like the episode? Send me a text and let me know!!
How to Win at AI Search: The Complete Audience Building Blueprint for Creators
Stop shouting into the digital void. In this episode, we break down the exact system for building an audience using AI search optimization, TikTok SEO, and podcast growth strategy — starting from absolute zero.
What You'll Learn:
- Why "build it and they will come" is killing your growth
- How AI tools like ChatGPT, Perplexity, and Google AI Overviews are the new gatekeepers
- The exact formula to get your content cited as the definitive source
Timestamps:
[00:00] The biggest lie in the creator economy
[02:00] How the internet shifted from phone book to AI matchmaker
[03:00] What is Assistive Agent Optimization (AAO)?
[04:00] The Algorithmic Trinity: LLMs, traditional search, and knowledge graphs explained
[05:00] The Zero Sum Moment: why AI search converts 4.4x better than traditional search
[06:00] How to build Entity Authority with ChatGPT and Perplexity
[07:00] Zero click search: threat or opportunity for creators?
[09:00] TikTok SEO: the 4 ranking factors that drive views for years
[11:00] The TSAK Formula: how to name your podcast for AI search discovery
[13:00] The psychology of virality: 4 ingredients that drive shares
[15:00] Attraction vs Retention: Spotify's brutal benchmark metrics explained
[17:00] How to build an audience from zero followers using borrowed audiences
[19:00] LUFS standards for Apple Podcasts and Spotify — and why audio quality destroys retention
[21:00] The future: when AI agents make buying decisions without humans
Key Concepts Covered: Assistive Agent Optimization · Algorithmic Trinity · Entity Authority · Zero Sum Moment · TSAK Formula · TikTok SEO · Spotify Retention Benchmarks · LUFS Audio Standards · Social Currency · Borrowed
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WEBVTT
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This is an Undiscovered Legacy Production and prod member of Pod Nation Media Network.
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Welcome to Business Conversations with Pi and Piet 2.0, where the advice is real, but the voices are AI.
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I'm Scoob, and we're harnessing cutting-edge artificial intelligence to tackle real-world business challenges and deliver actionable strategies you can implement right now.
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Joining us is our newest AI voice, Piet.
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Sharp, insightful, and ready to challenge conventional wisdom.
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The questions are real, the data is vast, and the insights game-changing.
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So buckle up, school believers.
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It's time to get across the start line.
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Let's dive in.
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You know, there is this um this massive, just persistent lie floating around the creator economy today.
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Oh, absolutely.
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And it is really holding so many of you back.
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It's this whole idea that, you know, if you build it, they will come.
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Right.
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The classic trap.
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Yeah.
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We've all heard it.
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It's like just make great content, be incredibly consistent, pour your heart into the editing, and poof, an audience will just magically appear.
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Aaron Powell, which is, frankly, incredibly demoralizing when it doesn't happen.
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Exactly.
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Because when they don't show up, you just assume, well, my content must not be good enough yet.
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Yeah, you end up spending, what, 40 hours producing something brilliant only to release it into this absolute void.
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Right.
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You get like three views, and two of them are literally your own devices checking to see if it uploaded.
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I have definitely been there.
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But today, we are just tearing that myth down completely.
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We're going to crack the code on how to actually build an audience and optimize your content for discovery in the modern internet.
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Yeah.
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Because we've pulled together an absolute masterclass, a stack of sources for you today.
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Yeah, the material we have is incredible.
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It really is.
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We are looking at uh the latest research on AI search optimization, the underlying mechanics of TikTok SEO, and the actual psychological science behind why things go viral.
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Plus some really tactical guides on podcast growth if you're starting from absolute zero.
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Exactly.
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The mission for this deep dive is to give you the exact blueprint to stop shouting into that digital void.
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We want to help you build a measurable system, something that pulls an audience in on autopilot rather than just, you know, relying on hope.
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Because hope is not a strategy.
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But before we dive into the actual mechanics of this system, we do have a quick favor to ask you.
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Just a small one.
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Yeah, we genuinely build these deep dives around what you want to understand.
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So drop a comment or leave a question right now, whether you're listening to this, tell us what you're building or you know what you're struggling with, and we are going to answer them in our next deep dive.
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Definitely do that.
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Because the environment you're building in right now, it has completely changed.
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You just can't use the old rule book anymore.
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No, you can't.
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I actually like to think of the old internet as this um massive phone book.
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Oh, that's a good way to put it?
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Right.
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Like if you wanted to be found back in the day, you basically just had to make sure you were listed.
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Just exist on the page.
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Exactly.
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Yeah.
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Maybe you game the system by naming your plumbing company, uh, Triple A plumbing.
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So you'd show up first in the alphabetical list.
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And eventually someone flipping through the pages would just stumble across you.
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Trevor Burrus, Jr.
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But the new internet does not work like that.
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Aaron Powell Not at all.
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It operates way more like a like a hyper over-protective matchmaker.
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Right.
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You have to prove beyond a shadow of a doubt that you are the absolute perfect fit before this matchmaker will even consider introducing you to a single user.
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Aaron Powell And we have to really recognize who or well rather what that matchmaker actually is today.
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Aaron Ross Powell Right, because it's not what it used to be.
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Trevor Burrus No, it is no longer just humans typing queries into Google and casually browsing 10 blue links.
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If you want to build an audience today, you first need to understand that we are now dealing with machines.
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Machines that are actively searching and synthesizing on our behalf.
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Exactly.
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The sources talk about this massive shift from traditional SEO Search engine optimization.
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Right, moving from that to something called AAO, which is assistive agent optimization.
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Assistive agent optimization.
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Wow.
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Yeah, search is evolving because AI tools like Chat GPT, Perplexity, Google's AI overviews, they've essentially become the new gatekeepers.
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Aaron Powell So you aren't just optimizing for a search engine index anymore.
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No.
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You are optimizing to be cited by an AI assistant.
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And the industry actually calls the engine behind these assistants the algorithmic trinity.
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Aaron Powell The Algorithmic Trinity.
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That sounds intense.
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What are the three pillars?
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Aaron Ross Powell So every major AI system right now synthesizes data using large language models.
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Okay, LLM, sure.
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Trevor Burrus, Jr.
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Traditional search retrieval and knowledge graphs.
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Aaron Ross Powell Wait, hold on.
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Before we go further, we hear LLM all the time, but what exactly is a knowledge graph?
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Like how is that different from just a normal database that regular Google would use?
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Aaron Powell Okay.
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So think of a traditional database like a massive filing cabinet.
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It organizes files by keywords.
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So if you search uh best microphone, it just finds the files that contain those exact words.
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Aaron Powell Right.
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Standard keyword matching.
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Trevor Burrus Exactly.
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But a knowledge graph is more like well, it's like a detective string board.
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Aaron Powell Oh, like with the thumbtacks and the red string connecting all the photos.
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Yes.
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Exactly that.
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It doesn't just store files, it maps the relationships between entities.
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Ah, okay.
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It actually understands that a microphone is a piece of audio equipment, which connects to podcasting, which connects to software.
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So the LLM is the conversational brain talking to you.
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The traditional search fetches the raw data, and the knowledge graph gives the context to understand how all of it relates.
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Okay, that makes so much sense.
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So when those three pillars work together, the AI reaches what the sources call the uh the zero-sum moment in AI.
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Yes, the perfect click.
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Right.
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It's the moment where the agent doesn't just give the user uh a list of options to choose from.
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It presents one single definitive solution.
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Like here is the exact answer to your problem.
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Aaron Powell And the value of capturing that zero-sum moment is staggering.
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I mean, looking at the SEMrush data we pulled for this deep dive, traffic that originates from AI searches is, on average, 4.4 times more valuable.
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Aaron Ross Powell Wait, 4.4 times?
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Yeah.
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Based on conversion rates compared to traditional organic search.
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Aaron Powell That is a massive leap in conversion.
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Yeah.
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But I mean it it logically tracks.
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Aaron Powell It does.
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Because someone using an AI agent usually has a really highly specific problem they're trying to solve right in that moment.
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They aren't just casually browsing, they have high intent.
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Aaron Powell Exactly.
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So if the AI recommends your product or your content as the singular solution, they act on it.
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Aaron Powell But to be that one recommended solution, the AI has to trust you implicitly.
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Aaron Powell Yes.
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And the sources refer to this as establishing entity authority.
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Aaron Powell Which you don't build just by scuffing keywords onto your website anymore, right?
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No, keyword stuffing is dead.
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You build entity authority by getting your brand mentioned in highly trusted nodes across that knowledge graph we just talked about.
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Okay, so places like what?
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Like Reddit, Wikipedia, major industry publications.
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You have to back up your claims with original research to prove your EAT.
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Experience, expertise, authoritativeness, and trustworthiness.
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Exactly.
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I have to push back on this whole concept, though, because there is a very real fear among creators right now.
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Oh, I know exactly what you're gonna say.
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Right.
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If these AI agents are just scraping our hard-earned content, synthesizing it, and then giving the user the answer directly inside the chat window.
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The zero-click search?
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Yeah.
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Aren't we just losing out?
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Like if I spend weeks writing a comprehensive guide on podcasting and Chat GPT just summarizes it for the user, that listener never actually clicks through to my website.
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I lose the traffic, I lose the ad revenue.
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It is a massive disruption.
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And honestly, the industry is still really grappling with the fallout of that zero-click reality.
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It's scary for creators.
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It is.
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You will absolutely lose some of that initial superficial click-through traffic.
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But what the early data shows is that consumer trust is actually shifting away from traditional websites and directly to the AI itself.
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Oh, interesting.
00:09:08.509 --> 00:09:17.070
So if ChatGPT or Google's AI cites your brand as the definitive source for an answer, you gain an immense amount of credibility.
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So it's kind of a longer game then.
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You trade the immediate low-value click for long-term brand authority.
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Precisely.
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The user remembers that the AI told them that you were the expert.
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Right.
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So what happens next is a huge spike in branded searches.
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They bypass generic searches later on and just seek you out directly when they're actually ready to buy a product or hire a consultant or subscribe to a deep dive.
00:09:41.789 --> 00:09:42.029
Wow.
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So you really have to treat the AI like the ultimate referral partner rather than an enemy that's just stealing your page views?
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You really do.
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And that logic doesn't just apply to chatbots either.
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I think the overarching theme in our sources here is that algorithms are doing the recommending literally everywhere.
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Everywhere.
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Which means we have to treat modern social platforms and podcast apps exactly like the search engines they are.
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Right.
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Let's look at how this plays out visually on TikTok, for example.
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Because according to Google's own internal data, nearly 40% of Gen Z prefers searching TikTok over Google Maps or traditional search when they're looking for something.
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Yeah.
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Whether that's a lunch spot or like a makeup tutorial, 40% of an entire generation is using a short-form video app as their primary search engine.
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Which completely redefines how you should be creating for that platform.
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Totally.
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Because if you were just chasing the for you page, the FYP, you're basically playing a slot machine.
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Oh, a hundred percent.
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You might get a massive spike in views if a video randomly hits, but the sources show that FYP traffic almost always dies off entirely after 48 hours.
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It's just gone.
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Whereas mastering TikTok SEO means you are building a library.
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Videos that are optimized for search can generate steady views for years.
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Years.
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Because the algorithm is actively indexing your content to serve as answers to future queries.
00:11:02.029 --> 00:11:02.990
So how do we actually do that?
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Well, the sources outline four primary ranking factors for TikTok SEO.
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And honestly, they all revolve around making your content machine readable.
00:11:10.269 --> 00:11:12.990
Okay, so factor one is spoken keywords.
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You must actually say your target keyword out loud within the first five seconds of the video.
00:11:19.149 --> 00:11:21.870
And this makes perfect mechanical sense when you think about it.
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As soon as you upload a video, the AI transcribes the audio almost instantly.
00:11:26.269 --> 00:11:26.429
Right.
00:11:26.509 --> 00:11:27.469
It's reading what you're saying.
00:11:27.789 --> 00:11:28.110
Exactly.
00:11:28.269 --> 00:11:39.469
So if you wait until minute two to say what the video is actually about, the algorithm doesn't know how to categorize it during those crucial first milliseconds when it's deciding who to test the video on.
00:11:39.870 --> 00:11:40.750
That is so important.
00:11:40.990 --> 00:11:42.429
Okay, so what's the second factor?
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The second factor is text overlays.
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The algorithm actually physically reads the pixels of the text you put on the screen.
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Okay, so spoken words and visual text.
00:11:51.949 --> 00:11:52.110
Yep.
00:11:52.350 --> 00:11:55.309
And the third factor is your captions and hashtags.
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And the advice across the board here is to absolutely stop using generic tags like ditch hashtag delpip or hashtag viral.
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It's so funny.
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People think those tags are like magic spells to get views.
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They really do.
00:12:07.309 --> 00:12:13.069
But from an algorithmic perspective, using hashtag dophip is like it's like putting a blank sticker over a barcode.
00:12:13.309 --> 00:12:14.350
That's a great analogy.
00:12:14.750 --> 00:12:15.149
Right.
00:12:15.469 --> 00:12:22.110
The scanner at the algorithmic checkout counter needs to know exactly what aisle your content belongs in.
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So a generic hashtag just forces the algorithm to spend extra computational energy trying to figure out what your video actually is.
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And if you make it work too hard, it drops you.
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It just moves to the next piece of content.
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So put the right barcode on it.
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Use highly specific tags.
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Aaron Ross Powell Exactly.
00:12:38.189 --> 00:12:43.309
And then the force factor is user interaction, specifically watch time and completion rate.
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If the algorithm serves your video as an answer to a search, does the user actually watch it or do they immediately bounce?
00:12:50.589 --> 00:12:50.750
Right.
00:12:50.909 --> 00:12:56.750
And this exact same search logic applies so beautifully to podcasts too, because listeners don't just mindlessly browse.
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They use the search bars in Apple Podcasts and Spotify to find solutions to very specific problems.
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Oh, absolutely.
00:13:02.829 --> 00:13:06.350
Stephanie Gass outlines this brilliantly in her podcast growth guide.
00:13:06.509 --> 00:13:10.269
She insists that you have to define a hyper-specific target avatar.
00:13:10.589 --> 00:13:12.750
Yes, she literally names her avatar Lola.
00:13:13.069 --> 00:13:13.309
Right.
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You have to figure out Lola's deepest pain points.
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Like what is Lola actually typing into the Spotify search bar at 2 a.m.
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when she can't sleep because she's so stressed out?
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Aaron Ross Powell And Gas introduces this concept called the TSAK formula to target that.
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TSAK.
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It stands for title, subtitle, author, keyword.
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So how does that look in practice?
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Basically, you use dashes in your podcast title to stuff in long tail keywords that match those 2 a.m.
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searches.
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Aaron Powell So instead of naming your show something vague and clever, like um the parenting hour, which tells the machine absolutely nothing.
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Right.
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You name it.
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The parenting hour, meal planning for picky kids, toddler tantrums, sleep training.
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Yes.
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You are feeding the search engine exactly the text string it needs to mash with Lola's query.
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But and this is a massive but here SEO and barcodes only get you scanned.
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Right.
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