One Amazon Product, One Claude, Two Listings: Which One Wins Q4?

Key takeaways

• The test: the same Claude and ChatGPT, one running a public prompt skill, the other connected to Helix. On COSMO the skill-built listing scored 62 out of 100 and the Helix-connected one scored 86.
• Start with positioning. What can you prove that competitors cannot? If a competitor can say it too, it is not your positioning.
• Jon: 80% of the decision is made before shoppers reach the product page, so the image narrative and buyer Q&A coverage matter. He said sponsored prompts convert 40% better than typical PPC ads.
• Helix pauses to confirm your facts, such as the mission statement and unique selling proposition, and sets custom rules first. In the demo it added 21 rules covering length limits, compliance and words never to use.
• Before Black Friday, score your catalog and push the listing with the best return first. In the demo, one product's score rose by 24 points, and Helix then watches for drops, such as a listing falling from 92 to 78.

Welcome

All right. Well. Welcome to today's session. It's a great workshop. Honestly, I haven't had this much fun preparing for a workshop in a while. So it's been a really cool exercise and I'm excited to share today with you. As you come into the chat room, let me know where you're from. Any questions you have, drop them in You've got me for an hour. So you know, we've got a lot to get through today. I'd love to answer your questions as we go, but yeah, please you know, let me know who's out there. So I know who I'm talking to. Sellers out who are really interested in growing the Amazon business.

So we're going to jump into the topic in a second. Ian, what's happening? I knew you would be on here. Always good to see you Ian. He's in Los Angeles where I'm based as well. So good to see you Ian. This is cool. Today I'm just going to say that front the way I'm presenting today's workshop is around the idea of recognizing you know, as sellers in today's era, you're probably running a lot of your business through ChatGPT, through Claude, through Grok Bots, whatever you're using right now, you're in the You're somewhere on the on the scale of implementing processes into your business using AI workflows.

The test: one product, one Claude, two listings

And so as a technology company, you know, we obviously have our own interface and the way that you can work within ZonGuru and inside of Helix, which we're going to showcase today and we'll help you through the process of using our app and developing your solutions through our app. But you also have the ability to use MCP access and pull that information into your workflow. So the way that we're going to be looking at it today is through the workflow of Claude and ChatGPT, through the eye of the seller who's using that and how we can enhance that process by using Helix through that MCP and what that looks like.

So that's really the focus today. Hey, what's up, Scott from Phoenix? Good to see you here. And what I what I'm adding to that layer as well in you know, I was I was talking to Gary from seven figure sellers yesterday. I was showcasing some of this yesterday and I was like, you know, I've been in the Amazon space for a while, right? And there's these cycle evolutions that happen, you know, back in 2015, it was really about like, hey, getting small sellers selling on the Amazon platform and there were a lot of gurus out there, right? The guys that were flashing their Ferraris and going, hey, you know, this is how I'm going to teach you how to how to do a quick fix and win on Amazon, right?

And then there were some gurus who were really good at helping educate you on how to sell on You know, in the last couple of years, that whole education guru thing died down slightly, right? But it's made a pretty big comeback right now with the advent of AI and there's a lot of gurus out there that are flashing their Claude skill and saying, hey, just use this and you can take the shortcuts and you can win on your on your business. And then there's some that are really good at teaching the skills and saying, hey, this is the kind of skill because at the end of the day, we have new tools that we can use, but that doesn't change the fundamentals of how you should do your business.

And that's a critical piece, right? Like don't use Claude or ChatGPT or Claude Bot to whatever, but make sure that the baseline of what you have is there, right? And so today what I'm going to do is actually show you one Claude process that we're using, but we're connecting it to two different sources. One, I'm using a skill set that is got 1.7 thousand downloads off of GitHub. It's a really well-known skill and I'm going to use that to generate a listing. And I'm also using a Codex skill inside of ChatGPT to generate images. This is a really well-known skill that a lot of sellers out there are using and frankly it's it's actually pretty good and I'm going to show that to you.

And then what are we doing is we're comparing that to running a process inside of Claude and ChatGPT connected to the skill which is Helix, which is our product, you know, which is which is using a lot of first party data and I'm going to show you the outcome of both. So it's a really cool I'm going to show you inside of Claude. We're going to run a live example as and I'm going to walk you through the presentation and show you the results and talk to you about some critical things that you need to Frankly at the end of the day it was a you know, it's a really efficient way of using you know, Helix in a different way, especially this is the important thing is if your Claude or your ChatGPT understands your brand.

If you've taught it to understand your brand, it starts to have a real good conversation with Claude and some with Helix and some really good outcomes. So that's what I'm going to jump into today. If you have questions on that drop them into the chat. We'll answer them. We're building up to Black Friday, Cyber Monday. This is the time to do your last minute updates on your images. It is so critical right now. Amazon is all in on Alexa for Shopping. You know, it's an upgraded algorithm. If you have questions on that you can ask. We've got previous webinars, but the quality of Alexa for Shopping is high.

The reason is because it has these updated algorithms both for keyword rank, right, on organic search results as well as across Alexa for Shopping and Amazon is pushing shoppers today into Alexa for Shopping. So you've got to be optimized. This is your last chance really to do it and this process will teach you. So let's jump in. Okay, let me share my screen. Oh Evo, I've got Evo here helping me. Thank you, Evo, as always. Everyone's going to watch this. I don't want to wait until the end to show the offer. I want them to pay attention because they really like the content.

So if you don't mind, inside of the chat or comments, just post the offer that we have for everyone today and also the link to the AI reading the score report as well. Just put it at the top of the chat so that people can get that if they need it. And I'm going to share my screen and let's get Great. All right, Evo, let me know if you can see my screen. I think yeah, it looks Oh why. Sorry about that. Let me just get set up here, guys, and we'll get jamming. Okay, I can see everything I need. Great. Okay, so one Amazon products, one claw two listings, right?

Which one wins? So again, I'm going to show you this publish skill for listing A that a lot of sellers are using. And then I'm going to show you through the Helix MCP what that looks like, right? So you know, I just want to take one second. I'm going to go over to Helix, right? So Helix if you don't know it, this is a listing optimization process, an AI for listing optimization process that optimizes your listing content for two things, human conversion and AI visibility and discoverability. There's a whole process you go through. You create your brand, your products, you engineer your listings.

You use the AI system that we have internally as part of the Helix brain to push you through that process. There's some really cool functions around pushing it live to Amazon in some time in some format of a bulk format with different variations. You can do it through our SBA PI. We have a whole full catalog that you can look at where we rank your catalog on AI readiness. We alert you if there's issues. We update you if there's a drop in your AI score. We have a launch center. We do all the transformations. There's reports. There's everything that you need.

There's MCP access. So we have it all built inside of Helix, right? And that is certainly a way that you can work through and use it in a really efficient way. We also have MCP access, right? So if you go under your integrations over here, you can connect to Claude and ChatGPT through Helix, right? So you connect it here and now you can go inside of Helix and you can simply run everything you want to do within your Claude or ChatGPT. Now I recommend obviously Claude for your content and then ChatGPT for your images. So I'm just going to show you inside of my Claude right here.

Setting up the test in Claude and Helix

So I'm going to bring this up. Yes, you can see my screen. But this is this is let's just close this over here. So this is inside of my Claude right now, right? Just for the purpose of here, I'm going to run a live one on a specific brand. It's called Ever Rearden Kids, right? It's it's a similar one to the one we're going to walk through today. And what I've done is I've just said, hey, this is an ASIN. He has a brand outline for the brand. I want to make sure that you understand Claude, what this brand is about. And then I want you to run Helix and as a subject matter expert around this brand, have the conversation with Helix, answer the questions that need to be answered, and then let's go through and do the full transformation, right?

So I've written, you know, this took me 3 seconds to write just inside of Claude. I've got it over here and I'm going to go into this one right here, right? So I've added it in. I just pasted it. I just said, hey, can you check your connection with Claude and let's go ahead and let's start the process, right? So go ahead. Let's go. Okay, so what it's doing right now is code is going, oh, I'm connected to Helix. Great. I'm going to start creating a brand for Evereden, this brand right here. And it's going to start going through the process, right? So, it understands this brand.

It's going to create a brand inside of Helix. Helix is going to have a conversation that's going to enrich the contents as it works. It's going to work on your product summaries and run the transformation. So, that's going to run in the background while we walk through the presentation. And we're going to come back to it and have a look at it in a second. All right. Let's see. Okay. Any questions, guys? Let me know. Let's keep jamming. Okay. So, here we go. Okay. We talked about this, right? Every seller is using an AI workflow, right? It's faster, it's repeatable.

The skills everywhere, right? There's AI libraries everywhere using mixed set of AI workflows. So there's a recognition here as a SaaS technology platform. Yes, you can use ours, but the interface may have changed in a lot of ways. It might be your preferred way of working. The question is what are your listings built on, right? And we go back to the point at the at the end of the day, you know, is there good information going in to give you good information out? And how can we make sure that we enhance that? And certainly I'm going to show you the case for why Helix should be the brain behind that because of the way that we reverse engineer, we use first party data out of Amazon that a lot of these skills can't do, right?

They cannot do because they just don't have access to that information. So, legitimate credible skills that I ran, right? These published skills, I didn't just pick some, you know, terrible skill. It's a really well-known skill on both fronts. What I did is we ran the whole skill. There's some really good things about it and we scored the skills, the outcome at the end of the day based on our AI readiness report, which basically takes any ASIN and scores you for your AI readiness out of first party, you know, sources from Amazon about how you need to score these listings both for COSMO and for Alexa for Shopping and for keyword readiness, right?

The free AI Readiness Score and skills

So, go to the comment the it's in the comments. And that's a free report that you can run on any ASIN. So, I took that at the of the day, once the solution did, and I ran it The public school got a 62 out of 100, frankly is pretty close to average, right? We see it across 6,000 reports is around 60 you know around that score on COSMO. And on our listing that we ran, we got an 86 out of 100, right? So I'm just giving you the results up front. We're going to go through the steps of how we got there in a So the skill is the process, Helix is the knowledge, right?

So I'm I'm establishing the case here that if you're using Claude you should be and we have you know a lot of op operators out there right now who are teaching people how to use skills connected to Helix on the back end, right? Because the results are better. And you know you have your AI workspace, whatever that is, through MCP you connect to Helix. Helix does the work that you need to do, which is brand strategy, right? We're going to talk about this in a second. Product positioning, which is critical, right? If you want to connect with humans who actually want to buy your product at the end of the day, use AI what it's good for.

And that's product brand strategy, product positioning, verified product facts, keyword data, shopper questions, right? From Alexa for Shopping. There's a lot you have to do around reverse engineering Alexa for Shopping and then COSMO mapping. We do all of that based on you know the experience that we have you know inside of our engineering team working with Amazon's algorithms and understanding how to best give you better rank, visibility, conversion, right? So build fast on a soft base and you ship fast and not better. So you need to build it on the right structured database.

What the results show

We're going to talk about At a high level, the results are here, guys. Like this is on average across listings that we're doing with Helix based on stable ad spend and stable price. Outliers we take out, but we're seeing an increase in sessions, 68% increase in conversion, 18% niche rank, 13% right? One client of ours did 5,000 listings in 90 days and then improved their overall year-over-year revenue projection from 7% to 20% We have another client that ran a bunch of listings. Their CDQ, which is an internal score within Amazon, increased by 20 points.

The SAS rep on their side said they were really impressed with what happened just by doing these updates, right? So we know the results are there. The question is, if you are using a Claude process, are you basing it on this type of data or you just running it on a surface level or whatever that skill is built? And I've taken some of the best in the space and I've scored them at the end of the day and it's clearly pointing to the fact that they have a weaker technical ability to make sure that the signals are being sent in the right way to Amazon's new AI, right?

And this is just an objective opinion from actually going through and doing it myself. So before we go and look at the examples and this is going to be on the copy and the image side, right? I want to talk about what structured listing engineer is. I've talked a little bit about this, but I want to show you, right? So this is what we solve for in inside of Helix. Number one, we're solving for the shopper, right? So the shopper is the one that chooses the listing and they convert, right? So what do you need to do to connect better with the shopper? You need brand strategy, you need product positioning, which is critical.

Step 1: positioning and narrative

And I'm going to talk about that in more detail. You need a narrative, right? 80% of the decision maker if they go through Alexa for Shopping, customers today, 80% of the decision is before they get to the PDP and before they've even seen the search results page. Like let that land for a second. They haven't even looked at any of your main images on search results page and clicked. They've had a conversation and a recommendation from Alexa for Shopping and they're landing on the PDP. What is the narrative that you're telling on the PDP is critical. I'm going to talk more about that in a second.

But we do that. And then the second one is Amazon's AI, right? So how do we make sure that all the signals are aligned across your copy and your images to make sure that you're saying the right signals. And that's on A9 keyword ranking, Alexa for Shopping, and COSMO, which is the dictionary that enhances everything across keyword rank as well as Alexa for Shopping, right? So these are the things that we do. I want to talk a little bit about positioning. This isn't new. This is the Mecca of anybody in e-commerce or marketing. We're truly understanding like what do customers want, right?

What can you back up as your product that your competitors can't? And only you can prove, right? So this sweet spot right here is your positioning and we do we use AI in a really good way in your niche on Amazon once we know your product and your competitors to understand from reviews on Amazon what do customers actually want that match your ICP. What can you own that your competitors can't and how to position that and make sure that's called out on your images and your content. That makes a huge difference in customer connection and conversion where you see that rise in like 18% conversion rate, etc., right?

If a competitor can say too is not your positioning, right? So again, you've got to make sure you stand out from your competitors. This is the product that we're going to run the test on today and I'm going to show you and walk you through it. One real product called Curly Q. It's a it's a leave-in conditioner refresher spray for kids with curly hair, right? So anybody who's got kids especially with curly hair it's it's a nightmare. You got to get them out of the door, get them to school you know and they and you got to know what you're putting into your kid's hair, right?

So we're going to use this to come up with the positioning. If you hear that beeping that's that's Claude working in the background with Helix and Helix is alerting us when it's making updates, right? So even for a second let's see how it's okay let's look over here. Okay so maybe it's will come up and answer. I know it's running so it's answering product questions but it is running in the background. I'm hearing updates so we'll come back and have a look at it in a second. Okay so back on the slideshow this is the positioning that Helix came up with, right?

It figured out that based on all the competitors out there kids' curls deserve their own kind of care. It's it's it's leading into this feedback that we're getting from the ICP through reviews that hey they understand like their kid needs their special treatment for their hair, which is different to other ones. And the reason behind that is it's pediatric dermatologist tested. It's a lightweight refresher. It's not a heavy cream, which is a critical thing that kids need that adults don't. It's made in the USA, 25 mom founded brand, right? You know, it's helping to figure out your positioning for your brand.

And a lot of sellers who use Helix are coming back and saying, I have the forest from the tree syndrome. I'm so close to my brand I didn't see this. And you guys helped me to figure out my positioning. Before we did anything, we figured out how to position my product to better connect with my customers on Amazon. That is huge in your business because it drives everything. It drives your copy, your content, anything that you do. And in fact, a lot of sellers are going and updating their own websites because of the changes or the positioning that we've helped them to understand, right?

Step 2: writing for the buyer’s decision

So that's the first thing that we do. The second part of listing engineering is written for the buyer structured for the machine, right? So we figure we gone are the days of stuffing your listing full of keywords. You can now write these beautiful listings that breathe, that connect with your customer and talk in an organic way. It talks about the feature. It talks about the benefit behind the feature and then the proof that goes with it, right? If you think about it in this way and you write your content, your AI understands and structures your understands the structure of your listings to signal and how to send it, but also your customers know how to how to read your content and connect with it, right?

So it's really important to write your content in the new way and having AI to help you directionally write it in the right way following this feature benefit proof makes a huge difference to your outcome, right? So it is really important that you follow that process. I hope you this is landing. If it is, you know, give me a thumbs up or if you have questions, please ask you know, ask the questions because there's a lot here that we're going through and I want to make sure that it lands for you. The last piece here is reverse or there's two more pieces, reverse engineering for Alexa for Shopping, right?

So at a high level, the research questions and the buyer decision-making questions, what are the common ones that we're seeing in your niche? We need to make sure we answer those in the best possible, so you become the recommendation to the question, right? And that is Alexa for Shopping. So these are real questions out of out of the niche on Amazon, right? Is it safe for my three-year-old? Can I use it every day without buildup? Is it truly Paraben sulfate and paraben free? Does it provide hold or just moisture? These are questions that real customers have that they want answers on before you can give a recommendation.

This is what we are finding outside of Helix that you need to make sure you're answering, right? So there's a lot of secret sauce in the technology of figuring out the most common questions, right? And making sure that Alexa for Shopping knows to serve you as the answer. If you get the recommendation, sponsored prompts are converting at 40% better than typical PPC ads, right? If you get that, you're going to get the sale, right? You've got to get there, especially in Q4, which is so critical right now. In the COSMO, right? So the COSMO knowledge graph, this is directly from Amazon.

If your content can map the knowledge graph in this way, it is intelligent enough to know how to surface you for all the keywords in normal typical keyword search or to help you in Alexa for Shopping. It's like the dictionary above Alexa for Shopping and A9 keywords, right? There's a whole technical mapping here, but at the high level, it's what is it? Who's it for? When is it used? What's the problem? And what is it compared to, right? The compared to is so critical because Amazon then knows how to how to compare it to other products in the marketplace, different products that go with it.

It is the best sales agent for Amazon that can surface your products and get you the sale, right? You've got to have this in place. If you don't have it, you're missing out on so many sales, I can tell you right now. Okay, so here's the test. So we went in and we ran it on two product flows, listing A, published skill, 1.7 thousand operator the images running Codex on a really well-known skill out there. It's actually pretty cool. I'm going to show you in a second. You know, we fed the ASIN, the public On the other side, on the listing B, you know, we ran it inside of Claude, right?

Running Claude connected to Helix

Connected to Helix. The images in ChatGPT. I didn't use Codex because I didn't need make any updates. Actually to the images. And then the input is the ASIN for sure. But it's the seller central data knowledge and all the processes that we have inside of Helix that you get access to. Plus the ability to confirm the brand facts and this is the piece that really stood out to me in going through this process. If Claude understands your brand, which clearly as a seller you will make sure that you give the memory and the understanding of the brand to your We built Helix in a way where it runs AI, it comes up with the answers, but it stops.

Helix will stop and say, hey, I want to validate this mission statement or this unique selling proposition or these attributes. Are you sure these are the ones that we should be pushing forward in the solution? And it asks you to validate it, right? You can do it in the interface and you can click through. But now, if you have Claude that actually understands your brand, it's going to start having that conversation, right? And it's going to answer those questions and run through as your subject matter expert brand assistant. It's going to answer those questions and just give you the solution at the end of the day.

That's what Claude is doing right now with that solution that I put in place right now, right? So let's see what's going on here. Okay, so you know, it's coming back, right? Positioning a premium kids. Okay, great. Intake answers. Hey, it's main niche kids detangler spray instead of detangler spray. So it actually made a decision because we gave it a bunch of keywords to focus on in terms of your main buyer keyword, right? And based on the information I gave it actually made a decision here and said, hey, you know what? Let's go ahead and actually base it on detangler spray because it has higher traffic volume, right?

So it's gone ahead and made some of those decisions and it's working with Helix to enhance and improve the information and make some decisions and choices, right? So before the transformation, I need to fix a few things. Scented shows fruit fruity, it should be berry. Okay, so it's made a couple of updates and now it's continuing to run, right? So it's having that conversation with Helix and Helix is built in a way to stop and ask for input if it needs input, right? So, I'm going to show you inside of Helix in a second as well. So, Okay, so this is case in point, right?

Helix asks Claude and you answer, right? I said, hey, start the brand. It came back and said, hey, before confirming I fixed two things. In this brand that we ran, it has a lice repellent product and there's a main bunch of buyer keywords and it was asking the question, hey, is there a lice repellent aspect to this or not? And it came back and confirmed, Claude confirmed said, hey, no, this is not the lice repellent product. Let's focus on the other pieces, right? So, it's coming back and you can answer these questions inside of Helix for sure, but now your Claude is smart enough to do it and go through the process, right?

So, it's gone through the product intake is confirmed. When AI really knows your brand, these answers get faster and better, right? And this is the biggest difference because a lot of these other skills they just run, but there's no opportunity to input and check the information and add more into it. Now that you have this smarter Claude in the back, it's it's giving you even a better result, right? So, this is the engineer listing at the end of the day for Curl Magic, right? Curl Magic for wavy and curly hair, right? He has your whole listing, he has your score, you know, your 75 Amazon character limit counts, your brand your title highlights, you know, all the information is mapped, your Alexa for Shopping is answered, we've scored it.

You have this great thing and you can push this directly live right through our platform. I'll I'll show you that in a second, right? He has the two listing. Honestly, it's not a bad listing. It wrote the listing, but you know, it's it listing A describes the product, B describes the outcome, and that's the way that we built Helix, right? So, you can see here this is this is literally a solution that a lot of people are using, but lightweight leave-in curl spray, you don't wait till dry hair, clean natural But here, curl magic for wavy and curly hair, clean formula parents trust, you know, that proof again, effortless daily curl.

Listing A versus listing B: the comparison

These are the main bullets that are then described inside of the bullets, right? So, there's a big difference here that's going to help you to make sure that you surface better in your content and connect with your customer, right? So, the gray line is the listing A readiness score. Listing B is the one we ran with Helix. You can see the answers out of here. You're never going to answer all of the Alexa for Shopping because the questions are infinite, right? But we're answering the main questions and you can go and update it further. But anything here, if you're 9 out of 13, 10 out of 13, you're in a way better spot.

But look at this, the other listing, this is the this is what we see on average across all listings is a 53 out of 100, right? So, there's work to be done here. It's it the reverse engineering of already using it out of out of Amazon, not just a surface listing of an ASIN, but using first-party data out of Amazon to figure out the right questions, reviews, that is such critical work. And if you do that, you have such a better chance of being the answer and the recommendation. And that's what I want everyone to land with. Use your skills all day. That's fine.

But make sure that the input that's coming in is based on, you know, true data out of Amazon built from experienced engineers who understand how to answer the right questions for Alexa for Shopping, for COSMO, for the algorithm, right? Because if you don't, you're building on a on a shaky base and that's not going to be good for you at the end of the day. The skill wasn't the problem, the inputs were, right? This is this is exactly it. So, we had missed, right? Not on the page, must, you know, sulfate and paraben free. It didn't acknowledge all these things.

Helix did, this one didn't, right? And I think this is the kind of thing where especially and when those questions are not well known, giving you or Claude the ability to input and tell it what it needs to do, right? This is the cool part on the image side and you can use the controller, right? So, we have a controller built. I'll show you where it is. You just drop it into ChatGPT and you say, hey, ChatGPT, can you pull the image controller and this listing out of Helix and can you run the image controller on it? It'll show you up front how it's going to start helping you to figure out the positioning.

Look at this at the moment, right? Morning curls, zero drama. It understood like one of the biggest things that are coming out of the reviews is the drama of the morning getting ready before school, right? Every parent has that. And this really hones in on that. I promise you any parent that is listening will nod and say somebody says it's going to help me with zero drama. Your charts will convert you higher, right? So it all works through this whole thing and it's fascinating to see how it's positioning. Hey, this is what we think it's our creative execution recommendation is, right?

I recommend a candid joyful moment. It's going to tell you that and but you can also then give it input and change it if you want, right? That's how it's built. This I just want to show you where the image controller is. So if you got into ZonGuru, right? And you got under Helix Resources and you click on MCP library and here's your image controller A plus. We have a whole bunch of different controllers. Just click on that copy it drop it in. Right here he has all image controller. A lot has gone into this and now it's going to pull the listing image and the analysis report out of Helix and run your actual image execution.

I'm going to show you now what the comparison looks like, right? So this was me running it over here and this was the results of the two that we looked at. Okay, so this is listing A. Remember this is like a really well-known skill that a lot sellers are using built in Codex. Frankly it's actually a pretty good result, right? So I'll show you the actual listing at the moment, but you know so it's got the main image revive kill bounce damp or dry how you use it sock bounce and never crunchy the magic inside, right? So this is the this is the thing. This is what was developed in one would say like if you look at image for image they're pretty close, right?

In fact even maybe a little bit of this treatment of the creative execution here might be a little bit better than what's over here, right? But the difference here is the narrative that we telling. Again 80% of the decision is made before you get to the PDP. What are people doing on the PDP? They are looking at price. They're looking at your review and your score and they're they're reading the narrative in your images. The importance of your second through image in terms of what it's telling the human so they can validate that they're buying the right product is so much higher than it used to be, right?

And so telling a narrative there is so important and we do that. We've built it to tell it. So the hook, the promise, the moment, the proof, the trust, the experience, the payoff. We're telling the narrative through all of your images, right? So look here, the promise, powered by nature, proven for The moment, morning curls, zero drama. The proof before and after, right? The trust, trusted by parents, tested by pediatric dermatologists. The experience, curls that actually cooperate and the payoff. 25 years of curly magic every day, right? For the family, right?

So there's a story being told. Imagine looking at your brand and seeing a story being told to your narrative. It's so much stronger. It helps with conversion and it helps to tell the AI how to serve your product, right? And obviously everything that's called out in the attributes and everything here is coming from reviews and that positioning. That's the biggest difference here that's going to make a huge difference both for AI understanding and for human conversion, so yeah, narrative, right? And then and then you know, what we do in this thing be, right?

Brand rules, bullets and compliance

Seven steps, one positioning. Only brand confirms the facts. Like there's there's a whole bunch of and then the self checks. This is the big thing. There's no self checks on this flow. Here we've got self checks that go into it and saying, hey, is this right? Do you want to input further? Does your Claude or your ChatGPT want to want to tell it something a little bit different from what we're seeing to enhance and enrich it as it goes through the process? Yeah, it really goes a long way. All right. So let's see what else I want to cover here. Review here we run you know, again.

So when you're doing inside of Helix, review everyone, set your rules first. You have the ability to give a custom rules. I'll show you that inside of Helix right now or inside of your Claude. It'll set those rules for you, cover every field, right? So I'm going to jump in and just let's look at this so again, keep your workflow, plug it into the engine, right? So connect your Claude ChatGPT, run your flow directly from Claude. That's great. Draw on Helix as your MCP and publish. That's where you're going to get the results. Everyone listening, you're going to get the increase in your AI readiness score, and you're going to get the increase in your conversion and your sales.

And we see that from people who are doing it inside of Claude, right? So let's see. I think because we're running everything is taking a little bit longer, but this is running, right? So if we go inside of Helix, I'll show you right here. Let's go to brands, right? So this has been run, right? So it's run the whole brand. Claude has gone in and checked all this, validated all the information, the brand, the story, the vision statements, unique value prop, right? Voice and messaging. It's done all of this, it's put everything in here. It actually didn't add any custom rules.

One of the other ones I ran it added some custom rules. So you can go in here and say, hey, set my custom rules to you know, 250 character counts or 500 character counts or 350, use all caps, make sure my brand is in the title. There's things that you can set at the brand level. Let's see on the product. It's run the product, right? So it's gone in and run all the products. You know, it's added in all your competitors. I can go here and change them if I want to, but it's chosen all the right competitors and it's ran all the product summary to help with the positioning.

It's added in compliance The do not mention this added in all of these, right? So it's added all of that and now it's in the process of running the transformation. So it's scoring right now, right? So it's almost finished with running the full transformation. So I can show you for the brand that we ran, right? The fairy tales, right? So you can see here it's added everything. It added 21 custom rules when I built this, right? So brand and title and wanted to do that because I'd given it more information on what I wanted as a as a brand owner for this, right?

The bullet format to figure that out. Length limits must include never says add all these words, right? So it understood and added that and then it actually validated with me and said, hey, I know these from the brand, so let's go ahead and add that or I need to ask you this. So you know, you have that whole process you go through, the products and transformations. Now when you have your listing, right? This is the cool part. You can go into the launch center. You see all your scoring here, 86. Go to your launch center, you see your listing. It's all written out.

I can go into any final quick fixes if I want to make anything. I can enhance with AI. I can maybe make a tweak if I want to. I don't have to. And now I can publish to Amazon right here. I want to show you I've got a connected one right here. So let's go into transformations. Let's go to this one which is in my demo. And I'll show you in the launch center. I can publish on Amazon and it's going to do it all the variation levels, right? So I've got three variations for this I can actually it's smart enough to know that each one is a color variation or if you have a size variation, it's going to add that to your listing.

Images, catalog and next steps

So if I want to see, for example, the Lush I can generate a preview. You'll see it's smart enough to know add Lush Teal to the title, right? So if you have size everything, you can preview what it is. And then I can publish it directly to Amazon or I can download the CSVs right here and it'll do it for each of my variations, right? Obviously inside of Claude, you can just say, hey, pull you know, upload it directly. You can just tell it to or you can say pull the CSVs and upload it to my partial flat file. Whatever your process is internally, you can do that, right?

And the other cool part, if you connect, you get this catalog, right? So we will tell you at the at are there any health checks on your listing? Are there any problems? You have a suppression, buy box issue, whatever that is, we'll tell you how to fix it. We'll tell you which listings to start with. So it is scoring your listings for your AR readiness score and then for your revenue. So this one here is doing 200 in revenue in the last 90 days. If I push this live, I will increase my score for 20 by 24 points. So it's helping you to prioritize which ones to push.

This is so critical to do before Black Friday to understand which one will give you the best ROI and do those And now you can actually watch all your listings. You can see the score that you have across your listings. It'll watch. So this one here that we just pushed live, 92, right? It's watching that listing. It'll alert you if we Oh, here you go. So it just ran the last transformation, right? For the other product inside of but it will alert you and say, hey, your score dropped from a 92 to a 78 because there's new seasonal Amazon's AI has shifted. There's new Redo that listing again and then you can re-engineer it, right?

So we're moving your listing optimization from passive to proactive by simply using the system. But if you have all of this data connected, you can go into Claude and say, hey Claude, which listing should I do next? It'll look at this whole thing. It'll pull the insights from here and tell you, hey, this one is the one I need to do. Or you can say, hey Claude, check every week if there's a score that's shifted or a priority of listings, go ahead and run the process. You understand it and it will just automatically run all your listings and you can just get a report.

Hey, I've run this. I've run your lot your next 20 listings. I've run all of them. They're already to go. Do you want to push them live through Helix into you into your Amazon and you can push it, right? There's so many processes you can build by connecting to Claude and to ChatGPT and running your process, right? So I hope that really lands for you. At the end of the day, there are many different skills you can use out there. I want to make sure that you are you are putting the right information and data into it so you can use your workflow and get the right execution at the end of the day.

Wrap-up and the Black Friday offer

I just showed you some of the top skills out there that are being downloaded from Amazon. Sorry, from GitHub, from other platforms out there you know educators in the space and the score on that and the execution at the end of the day is weaker than what you will get out here because the strategic work and the first party data we're doing out of Helix as your baseline to then put into your listings and that's how you'll get the results that you're looking for. If anybody wants an offer, we put that up in the in the chat. You can get 30% off and you can purchase credits or you can get the subscription that we have.

You get a lot of credits to run your transformations and the ability to then connect your catalog and your MCP. You can just put this coupon in when you go inside 30-off-November 15th. It expires on November 15th. So go and use that right Make sure you update some listings before Black Friday, Cyber Monday and look at the results. I'm very confident you're going to see an increase in niche rank and sessions and conversion rates, obviously with spend being equal and your price not changing, right? Just go to zonguru.link/Helix. That's the link to sign up and then add this coupon and you get that discount.

But get in and start using it. You run your brands, all of this all of this inside of Helix, running your brands and your products are all free. So if you just want to understand your brand strategy and your product positioning, you can literally run these for free inside of Helix and then go into your cloud and say, hey, create me a brand strategy document and position. I want to see what that looks like. Go ahead and do that if you want. The transformation is where you pay credits or on a subscription. This is where you transform the listing and then you can go ahead and launch That's what we have today.

I hope it's I hope it was helpful. I wanted to present it from this idea of the same cloud. Everyone's using it this process but on a different foundation and what that can do for your results at the end of the day. And you will start to get results like I showed you up front if you get that 30% off. If you have any questions, I'm here to answer questions. I hope I hope that was helpful to everyone on here. There will be a replay. I know there's questions on that Yes, there'll be a replay. Anybody who's registered, you'll get the replay. And this will be live on YouTube as well.

We'll put it up in our workshop. If you go into right here and you go into resources, you can go into the workshops. We've got a whole bunch of different workshops You can see a bunch of content on here teaching you exactly how to use Helix. This will be up there in the workshop as well to make sure that you get all the education you need around how to use this and make the difference with Amazon's AI. Right now we're seeing from Amazon, they are pushing people into Alexa for Shopping because they make more money off of people in Alexa for Shopping.

Conversational search has a high average card value. It's saving their bacon right now on the AI shelf. So if you're not optimized for that, you're missing out of sales that Amazon is all behind, right? So you've got to get there, make sure that you're optimized for Alexa for Shopping and clearly this will help you with COSMO and ranking on keywords as well. There's a lot of work that's done on the A9 keyword ranking as well. Thank you. That's 40 minutes. We've covered a lot here. If you need the replay, you'll get that and we don't have any questions right now, so we will call it for today.

Good luck out there. Black Friday, Cyber Monday is coming up. You've got an extended window for holiday returns. If you are more optimized, your return rate goes down as well because you set the right expectations both for the recommendation and for the human. Getting there and make sure that these are updated before then and we'll catch you soon. Cheers for now.

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