March 24, 2026

Zero Click Search Is Killing Creator Traffic — Here's How to Win With AI Answer Engines Instead

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...

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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

00:01:01.709 --> 00:01:08.349
This is an Undiscovered Legacy Production and prod member of Pod Nation Media Network.

00:01:09.229 --> 00:01:17.229
Welcome to Business Conversations with Pi and Piet 2.0, where the advice is real, but the voices are AI.

00:01:17.390 --> 00:01:27.469
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.

00:01:45.549 --> 00:01:46.509
Let's dive in.

00:01:46.750 --> 00:01:54.829
You know, there is this um this massive, just persistent lie floating around the creator economy today.

00:01:55.069 --> 00:01:56.030
Oh, absolutely.

00:01:56.349 --> 00:01:58.750
And it is really holding so many of you back.

00:01:58.909 --> 00:02:02.590
It's this whole idea that, you know, if you build it, they will come.

00:02:02.989 --> 00:02:03.229
Right.

00:02:03.389 --> 00:02:04.269
The classic trap.

00:02:04.590 --> 00:02:04.750
Yeah.

00:02:04.909 --> 00:02:05.709
We've all heard it.

00:02:05.789 --> 00:02:14.349
It's like just make great content, be incredibly consistent, pour your heart into the editing, and poof, an audience will just magically appear.

00:02:14.430 --> 00:02:17.870
Aaron Powell, which is, frankly, incredibly demoralizing when it doesn't happen.

00:02:18.269 --> 00:02:18.750
Exactly.

00:02:18.909 --> 00:02:22.909
Because when they don't show up, you just assume, well, my content must not be good enough yet.

00:02:23.229 --> 00:02:28.750
Yeah, you end up spending, what, 40 hours producing something brilliant only to release it into this absolute void.

00:02:28.990 --> 00:02:29.149
Right.

00:02:29.389 --> 00:02:34.030
You get like three views, and two of them are literally your own devices checking to see if it uploaded.

00:02:34.430 --> 00:02:35.629
I have definitely been there.

00:02:35.789 --> 00:02:39.069
But today, we are just tearing that myth down completely.

00:02:39.229 --> 00:02:46.750
We're going to crack the code on how to actually build an audience and optimize your content for discovery in the modern internet.

00:02:47.149 --> 00:02:47.310
Yeah.

00:02:47.629 --> 00:02:51.389
Because we've pulled together an absolute masterclass, a stack of sources for you today.

00:02:51.709 --> 00:02:53.629
Yeah, the material we have is incredible.

00:02:54.030 --> 00:02:54.750
It really is.

00:02:54.990 --> 00:03:06.189
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.

00:03:06.509 --> 00:03:11.229
Plus some really tactical guides on podcast growth if you're starting from absolute zero.

00:03:11.710 --> 00:03:12.270
Exactly.

00:03:12.509 --> 00:03:18.829
The mission for this deep dive is to give you the exact blueprint to stop shouting into that digital void.

00:03:19.150 --> 00:03:26.030
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.

00:03:26.430 --> 00:03:28.109
Because hope is not a strategy.

00:03:28.430 --> 00:03:33.389
But before we dive into the actual mechanics of this system, we do have a quick favor to ask you.

00:03:33.710 --> 00:03:34.270
Just a small one.

00:03:34.509 --> 00:03:37.710
Yeah, we genuinely build these deep dives around what you want to understand.

00:03:37.870 --> 00:03:46.829
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.

00:03:47.229 --> 00:03:48.030
Definitely do that.

00:03:48.189 --> 00:03:51.469
Because the environment you're building in right now, it has completely changed.

00:03:51.549 --> 00:03:53.389
You just can't use the old rule book anymore.

00:03:53.789 --> 00:03:54.590
No, you can't.

00:03:54.750 --> 00:03:59.069
I actually like to think of the old internet as this um massive phone book.

00:03:59.389 --> 00:04:00.509
Oh, that's a good way to put it?

00:04:00.750 --> 00:04:01.069
Right.

00:04:01.310 --> 00:04:05.069
Like if you wanted to be found back in the day, you basically just had to make sure you were listed.

00:04:05.389 --> 00:04:06.509
Just exist on the page.

00:04:06.829 --> 00:04:07.229
Exactly.

00:04:07.389 --> 00:04:07.549
Yeah.

00:04:07.789 --> 00:04:12.669
Maybe you game the system by naming your plumbing company, uh, Triple A plumbing.

00:04:12.829 --> 00:04:14.909
So you'd show up first in the alphabetical list.

00:04:14.990 --> 00:04:18.029
And eventually someone flipping through the pages would just stumble across you.

00:04:18.110 --> 00:04:18.269
Trevor Burrus, Jr.

00:04:18.350 --> 00:04:19.710
But the new internet does not work like that.

00:04:19.789 --> 00:04:20.430
Aaron Powell Not at all.

00:04:20.590 --> 00:04:24.750
It operates way more like a like a hyper over-protective matchmaker.

00:04:25.069 --> 00:04:25.310
Right.

00:04:25.710 --> 00:04:33.549
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.

00:04:33.629 --> 00:04:39.549
Aaron Powell And we have to really recognize who or well rather what that matchmaker actually is today.

00:04:39.629 --> 00:04:41.310
Aaron Ross Powell Right, because it's not what it used to be.

00:04:41.389 --> 00:04:47.470
Trevor Burrus No, it is no longer just humans typing queries into Google and casually browsing 10 blue links.

00:04:47.710 --> 00:04:53.949
If you want to build an audience today, you first need to understand that we are now dealing with machines.

00:04:54.430 --> 00:04:57.549
Machines that are actively searching and synthesizing on our behalf.

00:04:57.870 --> 00:04:58.269
Exactly.

00:04:58.509 --> 00:05:03.870
The sources talk about this massive shift from traditional SEO Search engine optimization.

00:05:04.110 --> 00:05:09.389
Right, moving from that to something called AAO, which is assistive agent optimization.

00:05:09.789 --> 00:05:11.710
Assistive agent optimization.

00:05:11.949 --> 00:05:12.269
Wow.

00:05:12.590 --> 00:05:21.710
Yeah, search is evolving because AI tools like Chat GPT, Perplexity, Google's AI overviews, they've essentially become the new gatekeepers.

00:05:21.789 --> 00:05:24.750
Aaron Powell So you aren't just optimizing for a search engine index anymore.

00:05:25.070 --> 00:05:25.230
No.

00:05:25.309 --> 00:05:28.429
You are optimizing to be cited by an AI assistant.

00:05:28.669 --> 00:05:33.789
And the industry actually calls the engine behind these assistants the algorithmic trinity.

00:05:33.870 --> 00:05:35.789
Aaron Powell The Algorithmic Trinity.

00:05:36.189 --> 00:05:37.070
That sounds intense.

00:05:37.309 --> 00:05:38.110
What are the three pillars?

00:05:38.269 --> 00:05:42.990
Aaron Ross Powell So every major AI system right now synthesizes data using large language models.

00:05:43.309 --> 00:05:44.110
Okay, LLM, sure.

00:05:44.189 --> 00:05:44.350
Trevor Burrus, Jr.

00:05:44.429 --> 00:05:46.429
Traditional search retrieval and knowledge graphs.

00:05:46.509 --> 00:05:47.230
Aaron Ross Powell Wait, hold on.

00:05:47.309 --> 00:05:51.470
Before we go further, we hear LLM all the time, but what exactly is a knowledge graph?

00:05:51.629 --> 00:05:55.470
Like how is that different from just a normal database that regular Google would use?

00:05:55.549 --> 00:05:55.950
Aaron Powell Okay.

00:05:56.029 --> 00:05:59.149
So think of a traditional database like a massive filing cabinet.

00:05:59.389 --> 00:06:01.309
It organizes files by keywords.

00:06:01.629 --> 00:06:07.149
So if you search uh best microphone, it just finds the files that contain those exact words.

00:06:07.230 --> 00:06:07.710
Aaron Powell Right.

00:06:07.870 --> 00:06:08.990
Standard keyword matching.

00:06:09.070 --> 00:06:09.710
Trevor Burrus Exactly.

00:06:09.870 --> 00:06:13.389
But a knowledge graph is more like well, it's like a detective string board.

00:06:13.470 --> 00:06:16.590
Aaron Powell Oh, like with the thumbtacks and the red string connecting all the photos.

00:06:16.909 --> 00:06:17.070
Yes.

00:06:17.309 --> 00:06:17.870
Exactly that.

00:06:18.029 --> 00:06:21.549
It doesn't just store files, it maps the relationships between entities.

00:06:21.870 --> 00:06:22.350
Ah, okay.

00:06:22.669 --> 00:06:29.710
It actually understands that a microphone is a piece of audio equipment, which connects to podcasting, which connects to software.

00:06:30.029 --> 00:06:33.789
So the LLM is the conversational brain talking to you.

00:06:34.029 --> 00:06:41.070
The traditional search fetches the raw data, and the knowledge graph gives the context to understand how all of it relates.

00:06:41.470 --> 00:06:42.509
Okay, that makes so much sense.

00:06:42.669 --> 00:06:48.990
So when those three pillars work together, the AI reaches what the sources call the uh the zero-sum moment in AI.

00:06:49.389 --> 00:06:50.669
Yes, the perfect click.

00:06:50.909 --> 00:06:51.149
Right.

00:06:51.309 --> 00:06:55.789
It's the moment where the agent doesn't just give the user uh a list of options to choose from.

00:06:55.950 --> 00:06:58.350
It presents one single definitive solution.

00:06:58.509 --> 00:07:00.269
Like here is the exact answer to your problem.

00:07:00.350 --> 00:07:04.590
Aaron Powell And the value of capturing that zero-sum moment is staggering.

00:07:05.070 --> 00:07:14.429
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.

00:07:14.509 --> 00:07:16.669
Aaron Ross Powell Wait, 4.4 times?

00:07:17.149 --> 00:07:17.389
Yeah.

00:07:17.549 --> 00:07:20.590
Based on conversion rates compared to traditional organic search.

00:07:20.669 --> 00:07:22.669
Aaron Powell That is a massive leap in conversion.

00:07:22.990 --> 00:07:23.070
Yeah.

00:07:23.389 --> 00:07:25.549
But I mean it it logically tracks.

00:07:25.629 --> 00:07:26.269
Aaron Powell It does.

00:07:26.590 --> 00:07:33.070
Because someone using an AI agent usually has a really highly specific problem they're trying to solve right in that moment.

00:07:33.230 --> 00:07:35.549
They aren't just casually browsing, they have high intent.

00:07:35.629 --> 00:07:36.350
Aaron Powell Exactly.

00:07:36.590 --> 00:07:42.590
So if the AI recommends your product or your content as the singular solution, they act on it.

00:07:42.669 --> 00:07:47.149
Aaron Powell But to be that one recommended solution, the AI has to trust you implicitly.

00:07:47.230 --> 00:07:47.710
Aaron Powell Yes.

00:07:47.789 --> 00:07:50.509
And the sources refer to this as establishing entity authority.

00:07:50.590 --> 00:07:54.029
Aaron Powell Which you don't build just by scuffing keywords onto your website anymore, right?

00:07:54.269 --> 00:07:55.470
No, keyword stuffing is dead.

00:07:55.549 --> 00:08:00.909
You build entity authority by getting your brand mentioned in highly trusted nodes across that knowledge graph we just talked about.

00:08:01.309 --> 00:08:02.509
Okay, so places like what?

00:08:02.909 --> 00:08:06.429
Like Reddit, Wikipedia, major industry publications.

00:08:06.590 --> 00:08:10.909
You have to back up your claims with original research to prove your EAT.

00:08:11.309 --> 00:08:14.990
Experience, expertise, authoritativeness, and trustworthiness.

00:08:15.389 --> 00:08:15.629
Exactly.

00:08:15.950 --> 00:08:22.590
I have to push back on this whole concept, though, because there is a very real fear among creators right now.

00:08:22.909 --> 00:08:24.269
Oh, I know exactly what you're gonna say.

00:08:24.590 --> 00:08:24.909
Right.

00:08:25.070 --> 00:08:33.389
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.

00:08:33.710 --> 00:08:34.669
The zero-click search?

00:08:34.909 --> 00:08:35.309
Yeah.

00:08:35.549 --> 00:08:36.750
Aren't we just losing out?

00:08:36.909 --> 00:08:45.789
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.

00:08:45.870 --> 00:08:47.870
I lose the traffic, I lose the ad revenue.

00:08:48.269 --> 00:08:49.470
It is a massive disruption.

00:08:49.549 --> 00:08:53.950
And honestly, the industry is still really grappling with the fallout of that zero-click reality.

00:08:54.269 --> 00:08:55.389
It's scary for creators.

00:08:55.710 --> 00:08:56.110
It is.

00:08:56.269 --> 00:09:00.189
You will absolutely lose some of that initial superficial click-through traffic.

00:09:00.429 --> 00:09:07.549
But what the early data shows is that consumer trust is actually shifting away from traditional websites and directly to the AI itself.

00:09:07.870 --> 00:09:08.269
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.

00:09:17.470 --> 00:09:18.990
So it's kind of a longer game then.

00:09:19.230 --> 00:09:24.189
You trade the immediate low-value click for long-term brand authority.

00:09:24.509 --> 00:09:25.149
Precisely.

00:09:25.389 --> 00:09:28.750
The user remembers that the AI told them that you were the expert.

00:09:28.990 --> 00:09:29.230
Right.

00:09:29.470 --> 00:09:33.149
So what happens next is a huge spike in branded searches.

00:09:33.309 --> 00:09:41.469
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.

00:09:42.189 --> 00:09:48.350
So you really have to treat the AI like the ultimate referral partner rather than an enemy that's just stealing your page views?

00:09:48.589 --> 00:09:49.069
You really do.

00:09:49.389 --> 00:09:52.029
And that logic doesn't just apply to chatbots either.

00:09:52.269 --> 00:09:58.029
I think the overarching theme in our sources here is that algorithms are doing the recommending literally everywhere.

00:09:58.350 --> 00:09:58.829
Everywhere.

00:09:59.069 --> 00:10:04.350
Which means we have to treat modern social platforms and podcast apps exactly like the search engines they are.

00:10:04.750 --> 00:10:04.909
Right.

00:10:05.069 --> 00:10:07.870
Let's look at how this plays out visually on TikTok, for example.

00:10:08.110 --> 00:10:17.789
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.

00:10:19.069 --> 00:10:19.309
Yeah.

00:10:19.469 --> 00:10:28.350
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.

00:10:28.750 --> 00:10:31.949
Which completely redefines how you should be creating for that platform.

00:10:32.269 --> 00:10:32.589
Totally.

00:10:32.750 --> 00:10:38.350
Because if you were just chasing the for you page, the FYP, you're basically playing a slot machine.

00:10:38.589 --> 00:10:39.389
Oh, a hundred percent.

00:10:39.549 --> 00:10:47.309
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.

00:10:47.709 --> 00:10:48.269
It's just gone.

00:10:48.829 --> 00:10:52.589
Whereas mastering TikTok SEO means you are building a library.

00:10:52.829 --> 00:10:56.269
Videos that are optimized for search can generate steady views for years.

00:10:56.669 --> 00:10:57.069
Years.

00:10:57.389 --> 00:11:01.789
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?

00:11:03.230 --> 00:11:06.909
Well, the sources outline four primary ranking factors for TikTok SEO.

00:11:06.990 --> 00:11:09.949
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.

00:11:13.230 --> 00:11:18.750
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.

00:11:22.029 --> 00:11:25.949
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?

00:11:42.750 --> 00:11:44.829
The second factor is text overlays.

00:11:45.069 --> 00:11:49.389
The algorithm actually physically reads the pixels of the text you put on the screen.

00:11:49.709 --> 00:11:51.629
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.

00:11:55.549 --> 00:12:03.149
And the advice across the board here is to absolutely stop using generic tags like ditch hashtag delpip or hashtag viral.

00:12:03.469 --> 00:12:03.949
It's so funny.

00:12:04.029 --> 00:12:06.350
People think those tags are like magic spells to get views.

00:12:06.589 --> 00:12:07.069
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.

00:12:22.269 --> 00:12:29.629
So a generic hashtag just forces the algorithm to spend extra computational energy trying to figure out what your video actually is.

00:12:29.949 --> 00:12:32.110
And if you make it work too hard, it drops you.

00:12:32.269 --> 00:12:33.629
It just moves to the next piece of content.

00:12:33.709 --> 00:12:35.309
So put the right barcode on it.

00:12:35.469 --> 00:12:37.149
Use highly specific tags.

00:12:37.230 --> 00:12:37.870
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.

00:12:43.549 --> 00:12:50.269
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.

00:12:56.909 --> 00:13:01.789
They use the search bars in Apple Podcasts and Spotify to find solutions to very specific problems.

00:13:02.110 --> 00:13:02.669
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.

00:13:13.469 --> 00:13:16.110
You have to figure out Lola's deepest pain points.

00:13:16.269 --> 00:13:20.509
Like what is Lola actually typing into the Spotify search bar at 2 a.m.

00:13:20.669 --> 00:13:22.750
when she can't sleep because she's so stressed out?

00:13:22.829 --> 00:13:27.949
Aaron Ross Powell And Gas introduces this concept called the TSAK formula to target that.

00:13:28.269 --> 00:13:28.990
TSAK.

00:13:29.069 --> 00:13:32.589
It stands for title, subtitle, author, keyword.

00:13:33.069 --> 00:13:34.669
So how does that look in practice?

00:13:35.149 --> 00:13:40.750
Basically, you use dashes in your podcast title to stuff in long tail keywords that match those 2 a.m.

00:13:40.829 --> 00:13:41.069
searches.

00:13:41.149 --> 00:13:47.949
Aaron Powell So instead of naming your show something vague and clever, like um the parenting hour, which tells the machine absolutely nothing.

00:13:48.189 --> 00:13:48.350
Right.

00:13:48.589 --> 00:13:49.069
You name it.

00:13:49.230 --> 00:13:53.469
The parenting hour, meal planning for picky kids, toddler tantrums, sleep training.

00:13:53.870 --> 00:13:54.269
Yes.

00:13:54.429 --> 00:13:58.909
You are feeding the search engine exactly the text string it needs to mash with Lola's query.

00:13:59.149 --> 00:14:03.230
But and this is a massive but here SEO and barcodes only get you scanned.

00:14:03.389 --> 00:14:03.549
Right.

00:14:03.709 --> 00:14:08.110
You've optimized the title, the algorithm found you, and it served your content to the user.

00:14:08.269 --> 00:14:13.149
But if your content doesn't connect emotionally within the first few seconds, the user leaves.

00:14:13.629 --> 00:14:18.269
And the algorithm drops your ranking instantly, the machine tracks the dreaded swipe away.

00:14:18.589 --> 00:14:18.909
Exactly.

00:14:19.069 --> 00:14:23.629
The barcode gets them in the door, but human psychology is what keeps them in the room.

00:14:24.189 --> 00:14:30.990
So we really need to explore the psychology of getting people to not just stay, but to share.

00:14:31.309 --> 00:14:34.029
Because shares are the ultimate algorithmic fuel.

00:14:34.350 --> 00:14:34.829
They are.

00:14:35.069 --> 00:14:41.549
The algorithm views a share as the highest possible endorsement that a piece of content is actually valuable.

00:14:41.870 --> 00:14:45.949
And the sources break down the psychology of virality into four key ingredients.

00:14:46.110 --> 00:14:52.189
They are an emotional trigger, high relatability, timing, and algorithmic fit.

00:14:52.509 --> 00:14:55.709
And a huge driver of all of this is social currency.

00:14:56.110 --> 00:14:56.829
Social currency.

00:14:57.709 --> 00:14:57.870
Yeah.

00:14:57.949 --> 00:15:01.709
People rarely share your content just because they think it's objectively high quality.

00:15:01.870 --> 00:15:05.069
They share it because sharing makes them look a certain way to their peers.

00:15:05.149 --> 00:15:09.949
Aaron Powell Right, makes them look smart or helpful or just perfect perfectly expresses their own identity.

00:15:10.509 --> 00:15:13.949
We use other people's content as a proxy to tell the world who we are.

00:15:14.269 --> 00:15:14.829
Exactly.

00:15:14.990 --> 00:15:19.870
And the research shows that the emotions that drive this kind of sharing are typically high arousal emotions.

00:15:20.189 --> 00:15:21.469
Let's look at a classic example.

00:15:21.870 --> 00:15:23.870
The famous Dollar Shave Club launch video.

00:15:24.189 --> 00:15:25.230
Oh, textbook example.

00:15:25.549 --> 00:15:25.789
Right.

00:15:25.949 --> 00:15:28.509
It's a textbook example of high arousal emotion.

00:15:28.669 --> 00:15:38.509
It triggered pure joy through really sharp, unexpected humor, but it's also tapped into this sort of righteous anger about the absurdity of overpriced razors.

00:15:38.829 --> 00:15:43.629
Yes, it presented a highly relatable problem and offered a clear, cheap solution.

00:15:43.870 --> 00:15:48.750
That high arousal emotional cocktail made people feel incredibly savvy for sharing it.

00:15:48.829 --> 00:15:50.509
Like, hey, look at the smart thing I found.

00:15:50.829 --> 00:15:53.789
Now contrast that with the viral Nathan Apadaka video.

00:15:53.949 --> 00:15:59.709
You know, the guy skateboarding down the highway drinking ocean's braid cranberry juice while lip-syncing to Fleetwood Mac.

00:16:00.110 --> 00:16:01.149
Oh, that was such a moment.

00:16:01.309 --> 00:16:03.149
But that wasn't high arousal anger or shame.

00:16:03.629 --> 00:16:04.189
No, not at all.

00:16:04.269 --> 00:16:07.389
It was pure low arousal contentment and awe.

00:16:07.709 --> 00:16:08.029
Exactly.

00:16:08.110 --> 00:16:12.909
And it broke all the standard rules of virality because it was so deeply authentic and raw.

00:16:13.309 --> 00:16:15.949
It just provided an emotional escape during a really stressful time.

00:16:16.269 --> 00:16:19.389
And it brilliantly rode the wave of a trending audio track, too.

00:16:19.469 --> 00:16:29.149
So it really goes to show that while high arousal is a reliable trigger, overwhelming novelty and just pure authenticity can also create massive social currency.

00:16:29.629 --> 00:16:42.269
But I have to ask, doesn't focusing so heavily on triggering emotions, especially those high arousal ones like shock or anger, doesn't that just push creators toward clickbait and outrage farming?

00:16:42.589 --> 00:16:44.110
That is a very valid concern.

00:16:44.429 --> 00:16:46.350
Because I feel like we see so much of that online.

00:16:46.589 --> 00:16:49.870
People just manufacturing anger to hack the algorithm.

00:16:50.029 --> 00:16:51.149
It is so exhausting.

00:16:51.389 --> 00:16:52.509
It's a very real trap.

00:16:52.589 --> 00:16:55.709
And unfortunately, cheap outrage does work in the short term.

00:16:55.789 --> 00:16:56.990
It gets the immediate clicks.

00:16:57.149 --> 00:16:57.389
Right.

00:16:57.549 --> 00:17:04.430
But there is a vital difference between manufacturing cheap outrage and creating genuine emotional resonance.

00:17:04.670 --> 00:17:08.350
What the research clearly shows is that clickbait destroys trust.

00:17:08.670 --> 00:17:09.069
Absolutely.

00:17:09.390 --> 00:17:16.029
If you bait and switch your audience or exhaust them with constant artificial anger, your retention metrics will eventually just plummet.

00:17:16.110 --> 00:17:17.470
People get tired and tune out.

00:17:17.710 --> 00:17:22.829
And once your retention drops, the algorithm will bury you, regardless of how many clicks you got yesterday.

00:17:22.910 --> 00:17:25.630
Aaron Powell, which brings us to a really fascinating way to measure this.

00:17:25.789 --> 00:17:30.269
Courtney Elmer, in her podcasting guide, calls this the attraction versus retention coin.

00:17:30.589 --> 00:17:31.630
I thought this was brilliant.

00:17:31.950 --> 00:17:32.589
It is.

00:17:32.910 --> 00:17:39.710
If you want to know if your content is actually resonating or if you're just relying on cheap tricks, you have to look at the underlying data.

00:17:40.029 --> 00:17:45.470
And the Spotify analytics benchmarks she provides are brutal, but they remove all the guesswork.

00:17:45.789 --> 00:17:48.589
They diagnose the exact point of failure in your system.

00:17:49.069 --> 00:17:49.309
Right.

00:17:49.549 --> 00:18:00.350
So she says if your click-through rate, which is the number of people who see your show in the feed and actually click it, if that is under 10%, you have an attraction problem.

00:18:00.430 --> 00:18:07.070
Aaron Powell Meaning your title is confusing, your cover art is boring, or your SEO barcodes just aren't aligned with what the user is searching for.

00:18:07.150 --> 00:18:08.750
Aaron Powell Basically the packaging is failing.

00:18:09.070 --> 00:18:09.470
Exactly.

00:18:09.710 --> 00:18:15.310
But if your greater than 60 seconds stream rate is under 63%, you have a retention problem.

00:18:17.310 --> 00:18:17.470
Yeah.

00:18:17.710 --> 00:18:23.390
Meaning the packaging worked, people are clicking, but more than a third of them are bailing before the first minute is even up.

00:18:23.710 --> 00:18:29.070
Because the content itself didn't hook them emotionally, or you know, it just didn't deliver on the promise of the title.

00:18:29.470 --> 00:18:30.910
That is the moment of truth right there.

00:18:31.070 --> 00:18:35.310
If your retention is low, you are losing the algorithmic game entirely.

00:18:35.470 --> 00:18:42.430
You have to nail the hook, you have to deliver value immediately, and crucially, you have to keep the audio quality high.

00:18:42.509 --> 00:18:45.870
Aaron Powell Which is the perfect pivot to the final piece of the puzzle here.

00:18:46.190 --> 00:18:54.750
Because what does this all mean for someone listening to this right now who has great ideas, who understands the AI search shift, who knows their target avatar.

00:18:55.070 --> 00:18:58.029
But is starting today with literally zero followers.

00:18:58.269 --> 00:18:58.430
Yes.

00:18:58.990 --> 00:19:04.110
How do you prime this algorithmic pump when nobody knows who you are?

00:19:04.350 --> 00:19:07.070
It can feel like standing at the bottom of an impossible mountain.

00:19:07.390 --> 00:19:08.190
It really can.

00:19:08.350 --> 00:19:15.150
But the biggest myth we need to bust right now is that you need a massive marketing budget or a pre-existing following to get traction.

00:19:15.230 --> 00:19:20.509
Aaron Powell The strategy here, highlighted by Liam Austin, is that you have to borrow audiences before you can build your own.

00:19:20.830 --> 00:19:22.750
You leverage someone else's established trust.

00:19:23.150 --> 00:19:23.950
I love this concept.

00:19:24.110 --> 00:19:30.430
It's like, okay, imagine being a guest chef at a famous established restaurant right in the middle of the city to build your reputation.

00:19:30.670 --> 00:19:30.830
Right.

00:19:31.070 --> 00:19:39.630
You go where the hungry people already are, rather than opening your own restaurant way out in an empty desert, cooking great food, and just praying people happen to wander by.

00:19:39.950 --> 00:19:40.990
That's the perfect way to look at it.

00:19:41.390 --> 00:19:44.910
And Austin recommends a very specific tactical approach to this.

00:19:45.150 --> 00:19:48.110
You commit to pitching collaborators bi-weekly.

00:19:48.269 --> 00:19:48.350
Right.

00:19:48.590 --> 00:19:55.230
You find creators who share your target Lola avatar, but aren't your direct competitors, and you propose guest swaps.

00:19:55.550 --> 00:20:00.590
So you go on their show, provide immense value to their established audience, and then they come on yours.

00:20:00.910 --> 00:20:01.310
Exactly.

00:20:01.630 --> 00:20:06.590
You also target specific subreddits or Facebook groups where your avatar is already hanging out.

00:20:06.990 --> 00:20:08.509
But you don't go there to span your links, right?

00:20:08.910 --> 00:20:09.710
No, definitely not.

00:20:09.950 --> 00:20:12.350
You go there to answer questions comprehensively.

00:20:12.509 --> 00:20:16.350
You establish yourself as the entity authority in that microcommunity.

00:20:16.670 --> 00:20:20.750
And the sources are really clear that while you're doing this, you have to start scrappy.

00:20:20.990 --> 00:20:21.310
Yes.

00:20:21.550 --> 00:20:28.190
You do not need a$1,000 microphone or a professional studio to start building this authority.

00:20:28.430 --> 00:20:31.550
There are so many incredibly powerful free tools out there now.

00:20:31.870 --> 00:20:34.430
Like Spreaker, Podcastle, StreamYard.

00:20:34.990 --> 00:20:35.390
Exactly.

00:20:35.550 --> 00:20:38.509
You can build a global show literally from your closet.

00:20:38.670 --> 00:20:42.590
But the one absolute non-negotiable is that your audio must be crisp.

00:20:42.670 --> 00:20:45.630
Aaron Powell Because bad audio physically destroys retention.

00:20:45.790 --> 00:20:49.550
And as we just established, bad retention destroys your algorithmic standing.

00:20:49.950 --> 00:20:50.029
Right.

00:20:50.350 --> 00:20:53.470
The sources get highly technical here about industry standards.

00:20:53.630 --> 00:21:00.430
They say you need to hit NAGASI 16 LUFS for Apple Podcasts and negative 14 LUFS for Spotify.

00:21:00.750 --> 00:21:00.830
Yes.

00:21:01.230 --> 00:21:05.310
Which, I mean, for anyone who isn't an audio engineer, what is LUFS and why does it matter so much?

00:21:05.630 --> 00:21:05.710
Okay.

00:21:05.790 --> 00:21:08.990
So LUFS stands for loudness units relative to full scale.

00:21:09.230 --> 00:21:09.310
Okay.

00:21:09.630 --> 00:21:16.430
It is essentially a measurement of perceived loudness over time, and it matters because of a psychological phenomenon called subconscious ear fatigue.

00:21:16.830 --> 00:21:17.790
Subconscious ear fatigue.

00:21:18.029 --> 00:21:18.110
Yeah.

00:21:18.430 --> 00:21:23.310
Let's say your podcast is exported quietly around like negative 24 LUFS.

00:21:23.470 --> 00:21:27.310
The listener is in their car, so they crank their stereo volume way up just to hear you.

00:21:27.630 --> 00:21:27.870
Right.

00:21:28.110 --> 00:21:34.110
Then your episode ends, and a dynamically inserted ad or a song plays at the platform standard of negative for 14 LUFS.

00:21:34.430 --> 00:21:34.830
Oh no.

00:21:35.070 --> 00:21:37.470
It is definitely literally blows their eardrums out.

00:21:37.790 --> 00:21:38.430
I hate when that happens.

00:21:38.670 --> 00:21:39.550
It's physically jarring.

00:21:40.029 --> 00:21:40.590
Exactly.

00:21:40.830 --> 00:21:48.750
And even if your content is brilliant, the listener's brain starts associating your show with the annoyance of constantly having to adjust the volume knob.

00:21:48.990 --> 00:21:49.390
Oh wow.

00:21:49.630 --> 00:21:56.670
They experience ear fatigue, they get annoyed, and they click away without even consciously realizing why they are bored or irritated.

00:21:56.990 --> 00:21:59.950
And that instantly kills your 63% retention metric.

00:22:00.269 --> 00:22:00.509
Yep.

00:22:00.750 --> 00:22:02.509
And the algorithm stops recommending you.

00:22:03.070 --> 00:22:04.350
That is wild.

00:22:04.750 --> 00:22:11.630
And along those same lines, cut the filler words, all the ums, the long pauses, the clearing of your throat.

00:22:11.950 --> 00:22:12.190
Yes.

00:22:12.350 --> 00:22:13.550
Edit ruthlessly.

00:22:13.630 --> 00:22:17.150
Aaron Powell The algorithm does not care about your excuses or that you are just starting out.

00:22:17.310 --> 00:22:18.910
It only cares about completion rate.

00:22:19.150 --> 00:22:20.590
Keep the edit incredibly tight.

00:22:20.910 --> 00:22:24.750
And critically, when you are first starting out, do not try to go globally viral.

00:22:25.070 --> 00:22:26.590
Yeah, the math just doesn't support it.

00:22:26.830 --> 00:22:27.390
It doesn't.

00:22:27.630 --> 00:22:30.509
Focus intensely on winning your first ten true listeners.

00:22:30.670 --> 00:22:34.910
Those ten people, if you deeply solve their problems, will become your super fans.

00:22:35.390 --> 00:22:44.269
And they are the ones who will generate that initial social currency, start sharing your content, and provide the initial algorithmic fuel to get the whole flywheel spinning.

00:22:44.430 --> 00:22:44.509
Yeah.

00:22:44.750 --> 00:22:48.269
It's all about building a foundation of quality and trust brick by brick.

00:22:48.590 --> 00:22:48.830
Exactly.

00:22:49.150 --> 00:22:56.509
If we pull all of these threads together, the core message across all of these diverse sources is actually incredibly empowering.

00:22:56.990 --> 00:22:57.630
It really is.

00:22:57.870 --> 00:23:00.269
Because building an audience is not magic.

00:23:00.990 --> 00:23:03.070
It is a measurable, repeatable system.

00:23:03.470 --> 00:23:08.509
By dropping that old build it and they will come mentality, you take control back.

00:23:08.830 --> 00:23:09.150
Right.

00:23:09.390 --> 00:23:14.110
You optimize for these new AI answer engines by building entity authority.

00:23:14.269 --> 00:23:18.269
You feed the platforms the exact barcodes they need to categorize you.

00:23:18.430 --> 00:23:24.910
You trigger the right emotional responses to ensure high retention, and you actively borrow audiences to kickstart the whole process.

00:23:25.150 --> 00:23:28.269
You can literally save yourself years of frustration by implementing this.

00:23:28.830 --> 00:23:30.509
You aren't just making content anymore.

00:23:30.670 --> 00:23:31.630
You are building an engine.

00:23:31.790 --> 00:23:31.950
Yeah.

00:23:32.269 --> 00:23:40.430
You are finally convincing that overprotective algorithmic matchmaker that you are the exact right fit for the user.

00:23:40.670 --> 00:23:44.670
It takes work, it takes strategy, but the blueprint is right there for the taking.

00:23:44.990 --> 00:23:51.150
And as we look to the future of discovery, this actually raises an important, almost mind-bending question for you to take away today.

00:23:51.390 --> 00:23:51.870
Ooh, okay.

00:23:52.269 --> 00:23:54.750
We talked about AI agents finding content for us.

00:23:55.390 --> 00:23:59.790
But as these assistive agents become more and more advanced, they aren't just going to recommend things.

00:23:59.950 --> 00:24:03.070
They are going to start making the final choices for consumers.

00:24:03.390 --> 00:24:04.190
Wait, what do you mean?

00:24:04.509 --> 00:24:12.509
Acting as a digital proxy, they will buy the product, book the flight, or subscribe to the feed entirely on their own based on what they determine is best.

00:24:12.910 --> 00:24:13.310
Wow.

00:24:13.630 --> 00:24:20.590
So if the AI is doing the actual clicking, the evaluating, and the buying without the human even seeing the options.

00:24:20.830 --> 00:24:21.150
Yeah.

00:24:21.470 --> 00:24:26.190
How does content creation change when your only true audience member is a machine?

00:24:26.509 --> 00:24:27.550
It changes everything.

00:24:27.870 --> 00:24:28.350
Think about that.

00:24:28.509 --> 00:24:28.670
Yeah.

00:24:28.830 --> 00:24:34.590
Drop your thoughts on that in the comments, leave your questions about audience building, and we will see you on the next deep dive.

00:24:34.750 --> 00:24:36.670
And that's a wrap, Scoobelievers.

00:24:36.990 --> 00:24:43.070
You just experienced the power of AI-driven business insights with Pi and Piet 2.0.

00:24:43.390 --> 00:24:47.070
Real advice, artificial voices, unlimited potential.

00:24:47.230 --> 00:24:54.350
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00:24:54.509 --> 00:24:57.390
Share it with a fellow entrepreneur who needs to hear this.

00:24:57.630 --> 00:24:59.070
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00:24:59.230 --> 00:25:02.670
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00:25:02.910 --> 00:25:09.870
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00:25:10.029 --> 00:25:16.029
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00:25:16.190 --> 00:25:19.230
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00:25:19.390 --> 00:25:20.750
The hurdles are the way.

00:25:20.910 --> 00:25:26.190
Until next time, keep moving forward, keep taking action, and we'll see you in the next episode.