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How to Get Your Business Recommended by ChatGPT, Claude and Other AI Search Tools
Episode 27

How to Get Your Business Recommended by ChatGPT, Claude and Other AI Search Tools

July 8, 2026 · 30 min

marketingai and systemsleadership
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The Short Answer

Your customers stopped searching on Google. They ask ChatGPT now. And when ChatGPT answers, it recommends someone. Anya Cheng cracked the new search game: 10 million impressions from ChatGPT, zero dollars in ad spend, and an American Marketing Association campaign of the year award. The shift from keywords to sentiment, from backlinks to proprietary data, and from text to multimedia is already reshaping acquisition. If you are still optimizing for Google, you are optimizing for a behavior that is disappearing.

What You'll Take Away

  • People do not search on Google anymore. They ask AI, and AI recommends whoever provides the best answer. If that is not you, you are invisible.
  • Sentiment now outranks keywords. How people talk about you on Reddit, Trustpilot, Google Maps, and Yelp feeds the machines that decide who gets recommended.
  • AI can read video and podcast content. Multimedia and unstructured data are no longer invisible to search. Your conversations, your recordings, and your proprietary insights are now indexable assets.
  • Proprietary data is the new moat. If you do not have data no one else has, you cannot build an AI-native company. The feedback loop between your customers and your AI is what separates signal from noise.
  • The question format has changed. People do not type 'menswear trend 2026' into ChatGPT. They type 'I am going to this conference, I want to close this deal, tell me what to wear.' Your content must answer the way people actually ask.
  • A human-AI flywheel beats pure automation. Anya's team uses human stylists to generate proprietary insights, AI to augment those insights into content, and customer feedback to refine the loop. That cycle is what won her the award.
  • Internal linking and context still matter. AI reads how you use information in context. Product detail pages linking to blog posts, styling notes linking to customer feedback, and feedback looping back into the AI all signal relevance.

The Breakdown

Anya Cheng built Taelor, an AI-powered menswear rental company in Silicon Valley, after a career leading product at Meta and eBay. The business itself is sharp: an AI stylist backed by human experts that sends you clothes, you wear them, you ship them back dirty, and you never do laundry or shopping again. Busy men. Realtors. Sales operators. People who need to look sharp to close a deal, win a case, or earn a second date.

But the real story is not the clothes. The real story is how Taelor acquires customers. Anya won campaign of the year from the American Marketing Association by generating 10 million impressions from ChatGPT without spending a dollar on ads. She cracked the new search game, and the playbook she describes is the one most operators are still guessing at.

The shift is simple. People do not go to Google anymore. They ask ChatGPT. They ask Gemini. They ask Claude. And when those tools answer, they recommend someone. If that someone is not you, you are invisible. Anya figured out how to make Taelor the answer, and the mechanics of how she did it are the framework every founder and marketing leader needs to understand right now.

Sentiment Outranks Keywords

The old SEO game was keyword density and backlinks. Pack your page with the right terms, get enough sites to link to you, and you rank. That still matters, Anya argues, but it is no longer the primary lever. AI search engines care more about sentiment. How people talk about you on Reddit. What they say on Trustpilot. The reviews on Google Maps and Yelp. Those signals feed the machines that decide who gets cited when someone asks a question.

'The difference between AI SEO from before search engine optimization for Google is that you care a lot more about sentiment,' Anya explains. 'How people say about you on Reddit, how people were reviewing Trustpilot, in Google Map, in Yelp, it become even more valuable. How people say about you and how people use you in context is valuable.'

This is not a small shift. It means the old playbook of stuffing meta descriptions and chasing backlinks is now table stakes. The new game is owned by whoever controls the conversation in the places people actually talk. If your customers rave about you in a Reddit thread, that thread feeds ChatGPT. If they complain about you on Trustpilot, that complaint feeds Gemini. The sentiment layer is the new ranking algorithm, and it is distributed across every platform where people speak freely.

AI Reads Video and Podcast Content

Google could not read video. Google could not read audio. You had to transcribe everything, tag every image, and hope the crawler picked up enough text to understand what you were about. That constraint is gone. AI can now analyze multimedia directly. It knows the content of your podcast. It knows what is happening in your video. It reads unstructured data in a way the old search engines never could.

'In the past for Google, you have to put a text of every images and video because the scroller bot doesn't read those thing,' Anya says. 'But nowadays, those AI actually can read videos, so they know the content from your podcast, for example, and those multimedia unstructured data become even more valuable.'

This changes the asset mix. If you have been building a content library of podcasts, webinars, or video walkthroughs, those are no longer invisible. They are indexable. They carry context. They signal authority. The operators who have been recording conversations, documenting process, and building a library of proprietary insights now sit on a distribution advantage that did not exist two years ago. The content you created for humans is now also content for machines, and the machines are recommending it.

Proprietary Data Is the New Moat

Anya's model is built on a feedback loop. Customers rent clothes. They wear them. They return them. They tell Taelor what fit well, what did not, what they liked, what they would buy. That feedback goes into the AI. The AI generates better recommendations. The stylists refine those recommendations with human judgment. The cycle repeats. The result is a dataset no competitor can replicate.

'Data is a goal because AI only grow with proprietary data,' Anya argues. 'If you don't have a proprietary data, which means whatever you're using through Gemini or ChurchGPT, you can still do a great job for productivity, but it's going to be unlikely that you become a true AI native company.'

This is the part most operators miss. You cannot build a moat with publicly available data. ChatGPT has access to the same internet you do. If your insights come from Google, your insights are commoditized. The only way to create a defensible position is to own data no one else has. Customer feedback. Behavioral signals. Real-world outcomes. The things that happen after the transaction, not just during it.

Taelor knows which brands hold up after ten washes. They know which shirts get compliments. They know which outfits close deals. That data feeds their AI, and that AI generates content no one else can write. The flywheel is proprietary input, augmented output, customer feedback, refined input. That cycle is what won Anya the award, and it is the cycle every operator should be building.

10,000,000 impressions from ChatGPT. $0 in ad spend. That's not a typo. That's what today's guest pulled off, and it won her campaign of the year from the American Marketing Association.
Kayvon Kay

The Question Format Has Changed

People do not type 'menswear trend 2026' into ChatGPT. They type 'I am going to this conference, I want to close this deal with a client, tell me what should I wear.' The question format has changed. It is longer. It has more context. It assumes the AI understands nuance. And the AI does understand nuance, which means your content has to answer the way people actually ask.

'You have to think about what people will be asking those AI search engine, AI chatbot, and come up with an answer that you think will be relevant to the questions,' Anya explains. 'Then you put those questions on your website, for example, become blog or you're popular with the bloggers on those.'

This is not keyword research. This is question research. You have to map the actual queries people type into AI tools, and you have to structure your content to answer those queries directly. The old SEO playbook optimized for a search bar. The new playbook optimizes for a conversation. If your blog posts still read like keyword-stuffed landing pages, you are writing for a behavior that no longer exists.

The Human-AI Content Flywheel

Anya does not let AI write everything. She does not let humans write everything either. The model is a flywheel. Human stylists generate insights. AI augments those insights into structured content. Customers interact with that content. Their behavior and feedback refine the next round of insights. The cycle repeats, and the output gets sharper every time.

'We write blog content that's specifically tailored to what people kind of question people will ask through JWT,' Anya says. 'With our fashion stylist to write something which we say is actually from the stylist with stylist point of view, it become much more relevant nowadays.'

The key is the human layer. AI can scale, but it cannot originate. It cannot create proprietary perspective. It cannot say 'I worked with a customer who wanted to close a deal, and I sent him a dolphin print shirt, and it worked.' That is a human insight. AI can turn that insight into a blog post, a product description, a styling note, and a dozen variations optimized for different queries. But the insight itself has to come from a human who knows something the internet does not.

This is the model. Human generates proprietary data. AI augments it into content. Customers interact. Feedback loops back. The flywheel spins faster, and the moat gets deeper. If you are not building this loop, you are not building an AI-native company. You are just using AI as a productivity tool, and productivity tools do not win markets.

Internal Linking and Context Still Matter

Anya's team does not just write blog posts. They link product pages to blog posts. They link styling notes to customer feedback. They link blog posts to other blog posts. The internal linking structure signals to AI how information connects, and AI uses that structure to understand context. A white shirt is not just a white shirt. It is a white shirt that pairs with brown shoes for a date night, or a white shirt that works under a blazer for a conference, or a white shirt that holds up after ten washes.

'You see this shirt, you should pair this shirt with the other shirt, and then you link to the blog page with internal linking from these white shirts, you link to this blog talking about how to wear white shirt but not boring,' Anya explains.

This is how AI learns your worldview. It reads the connections. It sees how you use information in context. It understands that you are not just selling clothes. You are solving problems. Closing deals. Winning cases. Earning second dates. The more context you give the AI, the more accurately it can recommend you when someone asks a question that maps to one of those problems.

Data is a goal because AI only grow with proprietary data. If you don't have a proprietary data, which means whatever you're using through Gemini or ChurchGPT, you can still do a great job for productivity, but it's going to be unlikely that you become a true AI native company.
Anya Cheng

The Old Playbook Is Dying

If your growth plan still assumes people find you through a search bar, you are optimizing for a behavior that is disappearing. Google is not dead, but it is no longer the primary discovery layer for a growing segment of buyers. They ask AI. They trust AI. They act on what AI recommends. And if you are not showing up in those recommendations, you do not exist.

The shift is not subtle. It is structural. Sentiment matters more than keywords. Multimedia matters more than text. Proprietary data matters more than public data. The question format has changed. The ranking algorithm has changed. The entire acquisition model has changed. And the operators who figure this out first are the ones who will own the next decade.

What I Take from This

I have watched acquisition channels shift before. I have watched Facebook go from free reach to pay-to-play. I have watched Google go from scrappy SEO to enterprise bidding wars. This shift feels bigger. This is not a channel change. This is a behavior change. People are not searching anymore. They are asking. And the answer they get is the only answer that matters.

What Anya built is not a marketing hack. It is a data moat. She owns feedback no one else has. She built a flywheel that turns that feedback into content, and that content into recommendations, and those recommendations into customers. That loop is defensible. That loop scales. That loop is the model every operator should be building right now.

If you are still running ads and hoping traffic converts, you are playing the old game. The new game is about being the answer. The answer to the question your customer asks when they are alone, late at night, typing into ChatGPT because they do not know where else to go. If you can be that answer, you win. If you cannot, you disappear. The ground is shifting. Build the flywheel. Own the data. Be the answer. You can hear more conversations like this on the podcast.

Questions This Episode Answers

How do I get my business recommended by ChatGPT?

Focus on sentiment, proprietary data, and answering the way people actually ask questions. AI search engines prioritize how people talk about you on platforms like Reddit, Trustpilot, and Google Maps. Build content that answers the full-context questions people type into ChatGPT, not the short keyword queries they used to type into Google. Own data no one else has, and use a human-AI flywheel to turn that data into content the machines can cite.

What is AI SEO and how is it different from traditional SEO?

AI SEO optimizes for how AI search engines like ChatGPT, Gemini, and Claude recommend businesses. Unlike traditional SEO, which focused on keywords and backlinks, AI SEO prioritizes sentiment, context, and proprietary data. AI can read video and podcast content directly, so multimedia assets now carry as much weight as text. The question format has also changed: people ask longer, more contextual questions, and your content must answer them directly.

Why does proprietary data matter for AI search?

Proprietary data is the only moat in an AI-native world. ChatGPT has access to the same public internet you do. If your insights come from Google, your insights are commoditized. The only way to create a defensible position is to own data no one else has: customer feedback, behavioral signals, real-world outcomes. That data feeds your AI, and your AI generates content no competitor can replicate.

How do I build a human-AI content flywheel?

Start with human-generated proprietary insights. Use AI to augment those insights into structured content: blog posts, product descriptions, styling notes, FAQs. Customers interact with that content. Their behavior and feedback refine the next round of insights. The cycle repeats, and the output gets sharper every time. The key is the human layer: AI can scale, but it cannot originate. The insight has to come from a human who knows something the internet does not.

Does sentiment on Reddit and review sites really affect AI search rankings?

Yes. AI search engines analyze how people talk about you across platforms. Reddit threads, Trustpilot reviews, Google Maps feedback, and Yelp comments all feed the machines that decide who gets recommended. Sentiment is now a ranking signal. If your customers rave about you in a Reddit thread, that thread feeds ChatGPT. If they complain about you on Trustpilot, that complaint feeds Gemini. The conversation layer is the new algorithm.

Can AI really read my podcast and video content?

Yes. AI can now analyze multimedia directly. It knows the content of your podcast. It knows what is happening in your video. It reads unstructured data in a way Google never could. If you have been building a content library of podcasts, webinars, or video walkthroughs, those are no longer invisible. They are indexable. They carry context. They signal authority. The content you created for humans is now also content for machines.

Full Transcript5,319 words

Kayvon Kay0:0010,000,000 impressions from ChatGPT. $0 in ad spend. That's not a typo. That's what today's guest pulled off, and it won her campaign of the year from the American Marketing Association. Anya Chang spent her career leading product at Meta and eBay. Then she walked away and built Taylor, an AI styling company that dresses busy men so they can get the job, get the date, and close the deal. But here's why this episode matters to you. Anya cracked the new search game. People aren't googling anymore. They're asking AI, and she figured out how to make her company the answer. If you're building a brand, selling anything, or wondering why your traffic is drying up, this is the playbook. Let's unlock it.

Kayvon Kay0:59Anya, welcome to the show. I I'm excited to have you. I I think what you're doing is amazing. So just for for the listeners here, today is a little different episode here. Today today is not about what you're doing in your business or how you're doing it in your marketing. Today is how you show up. How are you looking when you're going into the meetings? How are you dressing? Anya has created what I think is a phenomenal opportunity for people to be able to get onto a subscription and wear high designer fashion at half the fraction of the cost. So Anya, all the way from the Silicon Valley, working with AI companies and and startups, stepped out and created tailor.ai. Tell us all about that, Anya.

Anya Cheng1:43Yeah. So at Tailor, we help people to look great without doing shopping or laundry. And how how does it work is that we offer AI stylists for people and then send people real clothes for them to rent. So we'll say the unfortunately, you are in Vancouver, but anyone in The US, we when people signed up, pay a monthly fee, and we send them real clothes for them to rent. And after renting the clothes, they can decide if they want to buy it or just simply wear for a couple weeks. Say you travel to New York, you can change your address to New York's hotel so the clothes arrive in the hotel whole weeks that you can look great. And once you're done, return the dirty clothes into a prepaid envelope, give it to a hotel lobby, you can go home without doing any laundry. So no more shopping or laundry. I

Kayvon Kay2:34love the concept, and I just wanna make sure people understand this. This is basically, you can rent high fashion. I when we talk about high fashion, we say, like, it was medium to high, I believe. It's high quality.

Anya Cheng2:48It may not be high fashion because sometimes high fashion, they are fashionable but may not be high quality. So our we offer only high quality brands. They might be the most well known brands such as Johnson and Murphy, Bonobo, Marine Leather, and BYOT cuts, or it might be emergent brands that were really cool, that's trendy, or they might be most well known amazing brands in UK, in Canada, in Japan, but not yet available in The US yet. So high quality brands.

Kayvon Kay3:19High quality brands. However, I think it's important to discuss this first is you get on and you get a consultation of your look. So if you're someone who's going through, say, I don't know what my my my vibe is or I'm going through a brand, a new brand change or I'm trying to find a style. I see all these people with cool style. How do I get style? You'll sit with one of your brand consultants. Is that correct? That's right. So we have a few human stylists

Anya Cheng3:50behind, and then behind their, their workflow, there was there is obviously powerful AI to help those human stylists. But for customer, they interact with a professional stylist who have ten years of experience, and then those stylists to talk to you and figure out what is best for you, like getting a job, getting a day, or close a deal. Most important is for people to about their goals. We help our customer to achieve their goals. For example, we go to a conference. One of our customers, he say, I want to close a deal there. And our stylist decide to send him a dolphin print shirt. He's like, what? Why? Our customers are like, give it a try for conferences all about conversation opener. And he will close, People stop by and say, nice shirt. Interesting shirt. And they start a conversation. And, of course, he closed a deal. And that's what we do to help people achieve their goals.

Kayvon Kay4:47It was very unique in really understanding what it is you're trying to achieve, find the style to adopt to that, and then sending in that the the the clothes and then wearing it and then shipping it back.

Anya Cheng5:00Yeah. It they'll be like, your Uber's ride, you get on Uber, you get off Uber, someone else get on Uber, that your Airbnb rides, you drive you get out of it, you check out with Airbnb, someone else checking. So instead of buying everything, nowadays, we don't buy DVD anymore. We open Netflix show. We watch a show whenever we want to. SS versus ownership, Spotify, we listen to the podcast. We don't record a CD anymore, from the the Vogue on large shows, but then now we can listen anytime we want. So it's the same concept, but then we apply for fashion. So people don't have to store lots of clothes at home, but they always something that they can wear and always looks great and saving time. So I'm I'm always playing skeptic because I'm always thinking about someone who's driving their car right now listening to this podcast. I'm thinking about you,

Kayvon Kay5:56and you're thinking, what in the world? Like, I would never wear used clothes. Or maybe they're thinking, what I was thinking is like, that I'm going to New York next week. And, actually, I'm already thinking about what am I gonna wear. I'm like, I don't wanna wear. I don't wanna pack that. I wanna just pack. I don't wanna do a check-in. But if I have to bring the suit and all this stuff, I gotta check-in the bags, etcetera, etcetera, etcetera. And then you just said, oh, yeah. We can just send it there. What happens when you send the clothes there? I get there, but the clothes don't fit or they don't fit as well. What happens in that scenario?

Anya Cheng6:29Yeah. So if you're really afraid, say you are first time customer, like just use the first time, you can always we can always ship it to your home and you decide you wanna bring to a conference. We are a so usually, if for the first time you are not knowing you enough, sometimes customers say, I'm definitely size million and I think I I weighed two hundred pounds. Turn out that he's not. He can weigh or he lose weight. He doesn't know. Right? Yeah. So if you're really afraid, but if for subscriptions, they tend to we know it right away. After you ran for six clothes and you return, you tell us, oh, you know what? I think I gained weight recently. It's a little bit tight in the belly area. Then we know and the next shipment is better. And for for people on in terms of our secondhand, here's how we think about it. For when you go to restaurant, the spoon that you use probably eaten by a 100 people before. When you go to a hotel, you step on the bed, probably a 100 people step there before. But we all still use those things. And secondhand, we own circular, it's just all over the place. Everywhere now is secondhand. So just more about focus on assets versus ownership, so you don't have to buy everything.

Kayvon Kay7:45Yeah. I I like the idea that it's not just about having to buy everything. It's also about from when we talked is is about changing up the style. It's about being able to wear the clothes for a couple months and then changing the style up and not having to host it and hold it in your closet, you know, for it to collect dust. Yeah.

Anya Cheng8:03Or will you may never like, I personally never like to wear like, buy, like, really wise stuff because I get dirty pretty quickly. And so I know that looks really good, but I don't buy a white shirt. But for in this case, you can rent something or, hey, I never thinks I can wear pink. Oh, but the stylist recommends that, hey, you will be perfect for pink. Give it a try. You only need to wear for a week. You don't have to keep it forever. So why not try something out of comfort zone? Hey, floral shorts is trendy. Hey, pretty short short is trendy now. And those loose, really loose pants, like the jeans are getting really big now. Those back, like, really loose jeans are very The bell bottoms. Yeah. The big bell bottoms. Yeah. So give it a try, which you probably never tried before and you may never like it. But just for a week, now you can try something different, and you might discover you are actually perfect for purple or greens or a certain style that you didn't know that you would fit very well.

Kayvon Kay9:05Let's take a step back here, and let's talk on on the business side of this. Where did you come to the idea of this? Like, what was going on where you thought because this is this is very interesting, and and I and I like it and I could see it. I could see how people would have an affinity towards it. I can also see why people would be scared of it. But how did you come up with this? What came? What was going on in your life that you decided, you know what? This is what the world needs today. Yeah. When I was working for Meta and eBay,

Anya Cheng9:37I came from marketing backgrounds, but I do, over time, became head of product and leading their technology teams, product manager, US design engineers, and technology team globally. So I feel impasse syndrome from time to time. And I'm a woman leader. I'm from Taiwan originally. I'm an immigrant. I'm minority. So I feel like, hey. I need to dress like dress up like who I want to be. No one should find out that I'm freaking out every day. I looks like Dress Lapar, dress for success. So I start looking for some options out there. I look at stitch fix. People pick clothes for you, but you have to buy as soon as you receive the the clothes. And buying is not just about money. It's a lot of Myspaces. How many times am I going to wear this? How do I outfit in this outfit? Can I find somewhere that's cheaper? After you buy the clothes, you do have to do laundry. You do have to do ironings. It's a lot of work. So I started looking for rent home subscriptions such as Nuuly by Urban Outfitters, such as Rent A Runway, Amore. Those are amazing women's rental company here in The US, but they all require me to spend hours to pick. There was a moment that I realized fashion company has designed for people who are into fashion, not for people like me. I just want to get ready for my day and be successful. I don't care what I wear. As long as I get a job, get a date, and close the deal. And I started doing research as a good marketer. We all know, like, researching customer, interviewing your persona, understanding the reach out for the focus group. And I found that a lot of people think like me. They hate shopping. They hate laundry. They are very practical. They have been wearing the same thing last ten years. They opened their closet. They they were only 10 five ten brands, Nike, Lululemon, Banana Republic, and they are all busy men. And that's how Taylor was started.

Kayvon Kay11:42And there you just said something very interesting. They're all busy men.

Anya Cheng11:47That's right. Is

Kayvon Kay11:48tailor more geared for men versus women, or is there a mix? We only need the polite menswear. Oh, I did not know that. Okay. Great. Okay. So this is now I'm getting it. Yeah. So you even have a an ideal market. So this is for the working man that has no time to go shopping, doesn't hates the mall. You don't even start talking about ironing the clothes. Oh my god. So that's that makes a lot more sense. So this is menswear. And for busy, I'm gonna say entrepreneurial c suite, busy men traveling, looking for

Anya Cheng12:24being able to send their clothes, get there, wear them, drop them off, move on with their lives. Yeah. Or a single guy who really not into fashion, but wanna look great. A lot of our customers are sales guy. They are realtor. They know looking good. First impression matters. They only have a few seconds to to get attentions from their clients, customers, but they don't want to wear the same thing again and again. They don't want to think about fashion. They definitely hate to go mall go to the mall, and they love there's a personal stylist on their side. Almost like the gadget guy behind a superhero,

Kayvon Kay13:00just like an executive assistant to helping them out while they don't have to pay premium just like celebrities in those Hollywood. And how how are you attracting the men right now? Like, what type of marketing are you using using and or business tactics are you using for the awareness?

Anya Cheng13:16Yeah. So a lot of our traffic actually coming from Gemini and JGBT. We do very well in AI SEO, AEO, AIO, AGO. So we work with, we manage those things. And for people who may not familiar with that, as you know, people don't always search on internet anymore to ask those AIs to answer the question. And the difference between the AI SEO search engine optimization from before search engine optimization for Google is that you take care a lot more about sentiment. Before it was more about as many keyword as you can put on your website, as many relevant link linking to your site and you rent high. Those were still somehow to be true. But now the AI even care even more about sentiment. So how people say about you on Reddit, how people were reviewing Trustpilot, in Google Map, in Yelp, it become even more valuable. How people say about you were and how how people use you in for context is valuable. Also, Gemini and those they do read more than text. So in the past for Google, you have to put a text of every images and video because Google, those the the scroller bot doesn't read those thing. But nowadays, those AI actually can read videos, so they know the content from your podcast, for example, and those multimedia unstructured data become even more valuable.

Kayvon Kay14:49This has turned into tailored.ai now into marketing SEO, GEO services. So let's dive into that because I think that's super important right now and the game has has changed. And it seems like you figured out the game or you're working the game. So when you started, you you just name you said c you said SEO, you said AIEO, you said GEO. I think you named couple. What were they all? Yeah. I think this is

Anya Cheng15:19the terminology doesn't matter. What's really matter is that people search our ask questions on Churchill BD and Gemini today. Yeah. They don't go in Google. So which you want the JWPD answer whatever question they ask such as, hey, I'm going to New York for conference. What do you think should I wear? You want the answer coming from like Taylor's side, for example, my side. Whereas I don't want them coming from GQ. I want Taylor to be the answer when Chezio PD answer those questions. Right? Because Chezio PD doesn't know the answer. Chezio PD have to go find on the Internet for whoever provide the answer and feed it to the customers and the users. So in our model, for example, we write blog content that's specifically tailored to what people kind of question people will ask through through JWT. So people ask JWT very differently from when they search on Google. In the past, they might say menswear trend 2026. But today, when they go to JWPT, they was like, hey, this, I'm going to this conference. This is a conference. This is I want to close a deal with a client. This is why I'm selling. Tell me what should I wear. They tell a lot more context. Right? So you have to think about what people will be asking them those JISC AI tool, AI search engine, AI chatbot, and come up with an answer that you think will be relevant to the questions. Then you put those questions in, on your website, for example, become blog or you're popular with the bloggers on those.

Kayvon Kay16:54So blogs are still more important than ever, it seems like right now is what I'm hearing. I think the content continue to be important.

Anya Cheng17:04The podcast, the the PR, the blog. However, I think the how how it becomes structure become different. For example, instead of saying that, as a third party's view of, like, fashion the this year, most trendy color, by the way, is is a is a mocha, which is a light brown. And last year was the red wine color maroon. So instead of think about these, you think about, for example, with our fashion stylist to write to write something which we say is actually from the stylist with stylist point of view, it become much more relevant nowadays. And that's how we were able to one, American Marketing Association. Last year, we were the best campaign of the year because we get 10,000,000 impressions from ChatGPT without spending any money.

Kayvon Kay18:00Wow. This is amazing. I didn't even know that we're gonna go down this road. So you guys got a big award because you guys figured out how to get the most impressions from ChatGPT. I'm just trying to reverse engineer. Right? So the the whole point of the podcast, right, is to figure out what's that one thing. If, see, people are listening here, I wanna give them this one thing, and we're gonna get to this one thing. And right now, what I'm hearing is there's a way to win the GPT game so that you show up. And if you do that enough, you should start getting awards. You start getting recognized. And what I'm hearing from you is being you said the sentiment. You said in relevance. So and then I'm also thinking, is there are backlinks still a thing? Are people are backlinks very important?

Anya Cheng18:48I I think it's less important than before, but it's still a component of search engine optimizing because Che GPD today is still calling Google. So whatever you bring high on Google still fit into CheetahGPT. You just on top of what's in the past, they are more stuff. And also, whatever information is proprietary become even more important. I will give you an example. How how do we, get one award was that we start with what people will ask, and then we put together some of the answer and the questions from marketer. We ask our human stylist. They provide a point of view on those answer, which you couldn't find it on the Internet, which you bring our proprietary data. But then from those answer, we use augmented with AI. So AI feed in more information, become those amazing content, which you could be putting on our product detail page. Or you see this shirt, you should pair this shirt with the other shirt, and then you link to the blog page with internal linking from these white shirts, you link to this blog talking about how to wear white shirt but not boring. And and then we send this information when customers are renting clothes, we send the styling notes So then when they open their package of his rental clothes, you also say, hey, mister Key, wear these with these another brown shoes. You will be perfect for day night. But if you don't wanna go to day night, want a more casual, white sneaker is your perfect bet. So you also have this information and customer provide feedback. Feedback of the clothes, customer buy the clothes, where customer browsing on the site, who haven't signed up, they also click around and read the information. And all of those information feedback to the AI again, so the AI generating better content and our human styles are revising again. So it's a it's a flywheel that is human AI, human AI, human AI, and that's how we were able to make this amazing content that include proprietary data and also attract a lot of impressions from Gemini and Tragedy PT. So you're doing the heat maps. What I'm hearing is you you got the heat maps going on the web website. The AI is looking at the heat maps, looking at where people are going, and then getting smarter as it creates more of that content

Kayvon Kay21:09and answering more of those questions because it's pulling the questions off of the placement of where people are going on your website, but also the actual live human feedback that's coming even off website. Like, actually, when they get get the packages, they they're giving back your feedback. So basically, taking the feedback of all your customers and just keep asking the questions and having AI get smarter and smarter. That's right. And these become incredibly

Anya Cheng21:32important. And so one concept that you should know in the era of AI, data is a goal because AI only grow with proprietary data. If you don't have a proprietary data, which means whatever you're using through Gemini or ChurchGPT, you can still do a great job for productivity, but it's going to be unlikely that you become a true AI native company. But nowadays become more valuable with the data. For example, Mr. P interviewing hundreds of people. So you have a lot of insight on how to be a successful marketer. And that's something that other people don't know only mostly you know, and you also have additional point of view from those conversation with a guest. And that's something that cannot easily find on the internet. And they become gold today. So for example, after people renting clothes, they tend to give us feedback. After we rent the clothes, we tend to know the real quality after washes. Okay. Renting three times, second button fall off. So we know those feedback, then we make AI model and agents again and become a tool for fashion brand to predict what's going to sell. And they become our proprietary data and allow us to be an AI native company.

Kayvon Kay22:51Yeah. So your data the data, it's all in the data is what you're saying. And you're collecting the data points. The AI is making the recommendations and really looking at the data quicker and faster than any human can and creating more outputs and opportunities from that data. So you end end up you're gonna end up being a data company versus

Anya Cheng23:13That's right. That's right. Tailored dot AI. That's right. Today, 40% of close goes to unsold. So it's, $40,000,000,000 in The US today of the clothes for menswear actually unsold every year. So we have found that our data insights can really help fashion brand. Imagine you are a fashion designer. You are designing something that's supposed to be twenty two years from today. Imagine you are a wholesale buyer. You have to buy, like, $400,000,000 of the clothes, and all you have was last year's sales number. And as you know, what's trending in fashion last year is It's not trending. Opposite for next year. It almost like predicting tomorrow's weather based on yesterday's weather. Right? So, how we were able to do is we found this amazing insight from the customer can help solve the industry problem and also reduce the future waste from those brands.

Kayvon Kay24:08You just said a static. 40% of the clothes at the end of year go to waste?

Anya Cheng24:15Yeah. In the world today. And then 30% of the clothes in the world actually goes to landfill. It's Nowhere in the sorry. In the world. Yeah. Most of our brand only have sales through rate between 20 to 80%, which means on average, 40% will end up unsold. And those clothes that end up in a landfill, usually get burned, and then you generate 8% of carbon emissions.

Kayvon Kay24:39Wow. I did not know that. 40% of the clothes that you go searching through in a mall, let's just say, on a rack, will end up 40% of it on average ends up in the landfill being burned. That's right. That's right. So it's a lot of waste. It's a real problem in the industry,

Anya Cheng24:58not to mention even for people after buy the clothes and they go home. Most of people only wear less than 20% of what they have in their closet. You just love the few shorts. You always think that one day I wear the less skinny jeans that I bought five years ago, which you never do. And by the end of the day, you feel like, okay, I'm going to give it to pool and donate somewhere. Most of the interest end up in the landfill again.

Kayvon Kay25:23The the donations end up in the landfill as well. So that's what you're trying to you're so Tailor dot a I is not just becoming the fastest growing data company around fashion and clothing. You're also actually doing one step better in helping the world become a better place and an emissions free place is what I Yeah. Believe the real, weird data is valuable.

Anya Cheng25:48Think about this. Almost all of the ecommerce, they only know how people buy, but they don't know how people real feedback after they wear the clothes. Right? After I buy the clothes, I don't even know if am I wearing or someone else wear it. How many times I wear it? When I wear it, how do I feel? Oh, the shoulder is a little bit too tight. Feels a little bit itchy after I wash it five times. The it shrink after wash 10 times. You don't know those things. The other thing is that today, if I ask you which brand is mostly sustainable, then you answer based on whoever do most of marketing saying that Around sustainable. Right? Nobody knows. How do you know? Did you actually do a test wash? Like, oh, you can wash 10 times. This one, only wash five times. You don't know that. Oh, we do. As a rental company, we know the true quality of a garment. We know which brand the product is really most sustainable. And we believe those data can help them as well because a lot of them, they don't even know. They outsource it to big manufacturer. They outsource it to small factory. After batches and batches of inventory, they don't even know the true quality or the issues of garments. And that's where we come in. We play the missing feedback loop between the customer's feedback to the brand partners or brand, designers or the wholesalers.

Kayvon Kay27:10And all of this stemmed from a day I I love the quote you said earlier. I it was I don't you basically said, I don't care what I'm wearing. I just wanna wear something that makes me look good. Act as if because I just wanna get the deal done today. That's right. That's right. One day, we have a customer. He say

Anya Cheng27:28we say, hey. How's it going? What's what do you wanna wear next few weeks from our human stylist? And he say, I I I am going court. I'm getting divorced. I wanna fight for my children. I want to get the rights. And so I don't care what I wear as long as I win the case. So that's it. That's his goal. Anything that I wear can close to win a case. We have a customer say, I don't know, but I'm going on date nights tomorrow. So our stylist sent me a blazer. He's like, you know, I'm pretty more like a hot type of person. I'm not always needing blazer. And our stylist said, you know, it's day night. Just bring it. After he walked out of the restaurant at 9PM, the the woman feel a little bit chilly. He put his Yeah. Blazers on the top of her shoulder. I love it. I love it. The next day.

Kayvon Kay28:18Yeah. He got a second date just because of the blazer. This is fascinating for all the men listening right now. If you have a fashion problem or if you wanna make fashion easier for yourself and be able to have, I would say, more options in the closet, this is the place to be. It's taylor.ai. For for any of those listening, like, what are some last words for them of where they can maybe find you, what they need to know about your services, and where they go?

Anya Cheng28:46Yeah. Go on our website, which is taylor.style. It's taelor.style, taylor.style. Use a code podcast 25, podcast 25, p o d c a s t 25, to get 25% off first month's. And Father's Day and Summer is coming, forever birthdays. If you think the guy need a little bit help, wanna look confident, saving time, and give them a gift card, go on hilo. Style with a code podcast gift, podcast gift, then you get 10% off gift card.

Kayvon Kay29:24And we'll make sure we have that all in the show notes. Again, thank you. I know you're you must be really busy on the back end there, so thank you so much for stopping by and letting us know a little bit more about, obviously, what taylor.ai is, but I think there was even more gold here with how we can start thinking about how we show up in the LLMs

Anya Cheng29:44and GPTs and that for our businesses. Yeah. Thank you so much. This is Anya Chen from Taylor.

Kayvon Kay29:50Thank you.

This write-up was produced from the recording of How to Get Your Business Recommended by ChatGPT, Claude and Other AI Search Tools. Every quote is verbatim and timestamped to the audio above.

Show Notes

Your customers stopped Googling. They ask ChatGPT now.

And when ChatGPT answers, it recommends someone. If that someone is not you, this episode explains exactly why, and exactly what to do about it. One founder already cracked it: 10 million impressions from ChatGPT, zero dollars in ad spend, and an American Marketing Association campaign of the year award to prove it was not luck.

Anya Cheng spent her career building products and marketing at Meta, eBay, Target, and McDonald's tech headquarters before founding Taelor, an AI-powered menswear rental company in Silicon Valley. She is a Northwestern lecturer, TEDx speaker, bestselling author, and mentor at 500 Startups. In this conversation, she opens the playbook most agencies are still guessing at.

The episode starts with the business itself: an AI stylist backed by human experts that dresses busy operators for the outcome they need. A deal to close. A courtroom to win. A first date that earns a second one. Then Kayvon does what he does on every episode and reverse engineers the real gold. The conversation turns to how Taelor actually acquires customers, and the answer is not ads. It is AI search. Anya breaks down why sentiment now outranks keywords, why Reddit threads and review platforms feed the machines, why AI can analyze your video and podcast content beyond the keywords Google Search relied on, and how a human-AI content flywheel turns proprietary data into a moat no competitor can copy.

This one is for founders, operators, and marketing leaders who feel the ground shifting under their acquisition strategy. If your growth plan still assumes people find you through a search bar, you are optimizing for a behavior that is disappearing.

The conversation covers answer engine optimization, AI SEO, generative engine optimization (GEO), and the practical mechanics of getting cited by the likes of ChatGPT, Claude and Gemini. It digs into proprietary data as a competitive advantage, building content flywheels that combine human expertise with AI scale, customer acquisition without paid ads, subscription business models, and what it takes to become an AI-native company instead of a company that merely uses AI.

Topics covered:

  • How Taelor's AI plus human stylist model works

  • Why fashion companies were built for the wrong customer

  • The shift from Google search to AI recommendations

  • Sentiment, reviews, and context: the new ranking signals

  • The exact content system behind 10 million ChatGPT impressions

  • Why proprietary data is the only real moat in the AI era

  • The 40 percent problem: fashion's unsold inventory crisis

  • Dressing for outcomes: deals, courtrooms, and second dates

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