#554 – 10 AI Prompts That Save Amazon Sellers Hours
Audio version above. Video version below
Helium 10 has a powerful new AI agent and it works directly inside the Helium 10 platform. In this episode, Bradley Sutton and Andrew Bell reveal advanced prompts sellers can run with Helium to analyze their Amazon businesses, uncover hidden opportunities, and turn marketplace data into actionable strategies without needing a separate paid AI subscription.
Bradley demonstrates how Helium can identify the keywords potentially driving changes in competitors’ sales, uncover valuable rankings your products have lost, and find underserved product opportunities. He also shows how sellers can analyze their Brand Analytics visibility and discover Sponsored Brands video keywords their competitors are targeting but they are currently missing.
Andrew takes Helium’s capabilities even further, using detailed prompts to build comprehensive keyword banks from Cerebro, Magnet, Brand Analytics, historical rankings, and other Helium 10 data sources. He also demonstrates how the new AI agent can research competitors, allocate keywords, and fully optimize an Amazon listing, including its title, bullet points, description, and Alexa for Shopping Q&A, all from inside Helium 10.
These prompts show that Helium is much more than a chatbot. It is an AI agent that can work across Helium 10’s tools, analyze real marketplace data, and help sellers make smarter decisions faster. Start testing these prompts inside your Helium 10 account, keep refining your follow-up questions, and discover what becomes possible when your data and AI finally work together.
In episode 554 of the AM/PM Podcast, Bradley and Andrew discuss:
- 00:00 – Introduction
- 01:27 – Meet The Helium 10 AI Agent
- 02:04 – Find Keywords Driving Competitor Sales Changes
- 04:48 – Identify Valuable Keyword Rankings You Have Lost
- 06:07 – Discover Low-Competition Product Opportunities
- 07:51 – Analyze Lost Brand Analytics Visibility
- 08:50 – Uncover Competitor Video Advertising Keywords
- 10:20 – Andrew Bell’s Advanced AI Prompting Strategies
- 11:24 – Build A Comprehensive Amazon Keyword Bank
- 15:37 – Fully Optimize An Amazon Listing With AI
- 19:29 – Run AI Research While You Work
- 20:28 – Organize Keywords By Shopper Intent
- 22:27 – Break Keywords Into COSMO Intent Categories
Transcript
Bradley Sutton:
How to use advanced AI prompts without even having to purchase Claude, ChatGPT, or any paid AI. Hello, everybody, and welcome to the AM PM podcast. My name is Bradley Sutton, and I’ll be your host. And this is the show where we discuss all things Amazon, TikTok shop, and Walmart private label, and how to generate recurring revenue streams 24 hours a day during the AM and the PM. Hence the name of the show. Get it? AM/PM podcast. And as a matter of fact, this week, I visited our teammates in Shanghai, Shenzhen, and Manila, Philippines. And even though I was traveling on airplanes most of the time, I was still making money. How cool is that? Pretty cool, I think.
Bradley Sutton:
Hello, everybody, and welcome to our webinar slash workshop. Today is going to be great for anybody who’s advanced, anybody who’s a beginner for AI.Obviously, anybody who uses Helium 10. But these prompts that I’m going to show you guys, you can use if you don’t have Helium 10, maybe you have another tool, or if you are using Claude or ChatGPT. But it’s especially for those who haven’t gotten Claude and ChatGPT. They want to get their feet wet in AI. But again, all of these prompts you can use with the Helium 10 MCP as well if you’re advanced, and they’re pretty cool. So I’m going to be giving you guys some cool prompts. And I’m going to be inviting Andrew Bell on a little later. And he’s going to give some of his cool prompts. All right. Now, what are we talking about when we say the Helium 10 agent? It’s an agent that we have in Helium 10.It’s called Helium. If you go to the screen, it’s this kind of like little square sphere right here, this colorful sphere. We call this little guy Helium. All right. It’s just as if you’re running Claude or ChatGPT inside of Helium 10 without having to pay any extra subscription. Pretty cool, right?
Bradley Sutton:
So to activate it, and this is for those who have Diamond, you just hit it and then you can just start talking to it right here. All right. You would start prompting. So are you guys ready to copy some of these prompts that I did and to see the results? Let’s hop into it. All right. Here’s the first prompt. You guys can go ahead and screenshot this and copy and paste it in your own Helium 10 Agent. And you got to put your own ace in there. Or you can do this in the Helium 10 MCP in Claude. But here it goes. It says, analyze the BSR chart of these competitors ASINs, and I put three competitor ASINs, and find for each of them the top selling month in the last 12 months and the worst selling month. Then use historical Cerebro functionality, this is only available in Helium 10, to see which keywords were they in the top 10 organic spots during the high month, but below rank 30 for the lower month for the same word. Prepare a report of the top keywords where for that product losing or gaining rank was probably the reason for an increase or decrease in sales. For those keywords, run Cerebro on my own product and tell me where I currently rank for them organically. So take a look at the results here in the hemp roll on category. It showed their best month and their worst month. Like here’s this medical miracle product, best month, September, 2026, worst month, August, 2026.
Bradley Sutton:
All right. So here are the results. It says, here’s the keywords where each competitor had a top 10 organic rank during their peak month, but fell below rank 30 or disappeared entirely during their worst month. And some of these have decent search volume, like hemp oil for pain relief. All right, here’s another one, hemp roll on pain relief. Now, how is this beneficial? This is good because these are telling me the keywords that probably resulted in competitors losing sales. So what does that mean for me? I don’t wanna lose my rank on these keywords. Here, it gives me some key findings here, the Helium Agent, and it says your organic rank check.To complete the report, please share your ASIN. All right, so I’m gonna have to put my ASIN here. Let me go ahead and do that, copy and paste it. All right, let’s paste my ASIN and press send. And let’s go ahead and see what the results are. And take a look at the results here. It says your position 13 dominant, seven opportunity, 14 gap.So the ones that I’m dominating, there’s 13 keywords here, okay? So I’m doing pretty good. But then here’s the opportunity keywords. I’m visible, but not dominant.
Bradley Sutton:
Look at this, I’m in the middle of page one, maybe towards the bottom of page one. And here’s ones that I’m completely not even ranking for, all right? So it gives me a list of those keywords. So it says I’m pretty strong and I would expect it. This product is a number one seller in the niche.But what about you guys? If you’re not the number one seller, I bet you’d have a lot bigger list, all right? So again, make sure to use this prompt up here. And there’s your first prompt that you can use with the AI Agent or MCP. Let’s go to the next one. All right, here is the next prompt, guys. You can go ahead and copy it. It says here, analyze the keywords I have tracked for these two ASINs. Tell me what keywords were I consistently ranked in the top 10 six months ago, but in the last 30 days, I have been below position 15. All right, so here we go. Here is Penetrex Roll on. Six months ago, I was number nine. Now I’m 17. Here’s one where I was 10. CBD, topical rub, used to be 10. Now I’m 18. Here are some keywords. I had zero search volume that I dropped off. And on the other product, it says, hey, I’m not even tracking that keyword, all right? So that’s not good. But again, this product is dominating. This is what you want to see, guys. You don’t wanna see a list of 300 keywords that you dropped off the top 10, all right? You want it to kind of be, hopefully, only 10 or less, kind of like mine. But you guys, run it right now.
Bradley Sutton:
Literally copy this prompt. Put it in your Helium 10 agent or MCP and run it and let me know how many keywords it found, all right? Hopefully, you guys have been using Keyword Tracker. You’re not gonna be able to run this if you weren’t using Keyword Tracker. But this is another very valuable one where I might need to look into these keywords and see if I can get those ranks back up, all right? You guys ready for the next one? Here we go. I’m selling hemp pain creams and hemp Rolons. I can produce hemp-based products or other creams or topical Rolon products. Use Black Box keywords to find keywords that are related to this niche that have at least 1,000 search volume but title density of less than 10 and where at least five out of the top 10 results on the page have less than 200 reviews, all right? So this is next level product research here. And let’s take a look. Look at some of these keywords here. Fluoresce migraine. Let me open up this right here. Look at this. Fluoresce migraine relief roll on. That’s probably like a brand name.
Bradley Sutton:
I should have put in the prompt, hey, exclude competitor brand names. But here’s another one.Magnesium freeze cream for pain. Zero title density, 5,000 search volume. Good grief. Bee venom pain relief cream. What in the actual heck is bee venom? It’s gotta be a brand name, right? Or is it an actual thing, bee venom? I don’t even know, all right? CBD Roll on total relief magnesium cream for nerve pain. Capsaicin cream for nerve pain. I don’t know what the heck that is, but 1,000 people out there are searching for it. So 1,000 people know what it is, all right? Let’s see. Look at this. It is giving us an analysis of the opportunity. Magnesium pain creams are the biggest opening. Let’s see. Nerve and joint pain sub niches are wide open. Roll on format has branded keyword spillover, all right? So there we go. It realizes that those are branded keywords, but pretty cool. This is just giving me quick product research ideas on how I can expand this pain cream and Rolon cream product line. You guys ready for another prompt? Here we go. Input my top two selling products into Blackbox ABA, which stands for brand analytics.
Bradley Sutton:
Tell me the keywords where from 12 months ago to six months ago, I was one of the top three click products for at least 25% of the weeks. However, I have fallen off in the last six months. All right, let’s take a look here. And the answer is none. That’s great. I’ve actually, it says here, look at this. I have actually expanded the ABA top three presence. Again, this is what you guys want to see, but I bet you not all of you are seeing this. This product is just like going bonkers. We just had a $1,500 sale day last week. It’s going crazy. It’s really good. Let’s take a look. So it says here, there are no keywords to rescue from a visibility standpoint. So on this product, I am just crushing it. But I guarantee if you guys have newer products and you’re not the number one in your niche, it’s going to have examples. So here’s the other homework, guys. Copy this one, copy and paste it.
Bradley Sutton:
Guys having fun yet? Let’s look at the next one. Run my competitor ASIN, and I threw in an ASIN here, in Cerebro and tell me the keywords that they have sponsored brand video ads running on. Then analyze my sponsored brand video campaigns and tell me which of the keywords my competitor is targeting that I’m not. This should be self-explanatory how valuable this could be, right? Let’s take a look. Cerebro found 22 keywords where this competitor ASIN is running sponsored brand video ads, but I’m only advertising my videos on six of those keywords, all right? So the fact that this guy is only having 22 keywords, what does that tell me? That tells me I probably have his exact manual strategy. He’s probably not running like a broad campaign or a phrase campaign, like if he only has 22 keywords in one whole month. So I’m literally uncovering with Helium 10, his exact video strategy. And I can see, hey, what are the keywords here that he’s advertising video for, but I’m not, all right? Hemp oil for pain relief, hemp roll, hemp and pain relief. There’s a few keywords here. So I’ve got some things that are actionable right here. And if I wanted to take it a step further, I could literally just say, add these keywords to my video campaign now. And MCP would be able to do that. Helium 10 Agent is about to be able to do that as well.
Bradley Sutton:
So guys, there are five prompts that anybody can use, whether you use the Helium 10 agent or you have the Helium 10 MCP, pretty cool. All right, guys, now let me pass the baton to Andrew, who is going to, Andrew is one of the most known people in the world. For like LinkedIn and in the Amazon world for AI. And he has been heavily using the Helium 10 MCP as well as the Helium 10 agent. And he’s got his five prompts that he wants to show you guys the results of.
Andrew:
Thanks, Bradley. So we’re going to go off to do some prompts and Helium is a fantastic agent. I’ve been messing with it for quite a while now and I’m very impressed with what I can do. And I think just like with anything, how you prompt makes a big difference. So there’s lots of different things you can do as far as like optimize your listing, build a keyword pack for your product. Bradley kind of probably already, you know, showed you that sort of thing. So one thing that happens a lot on, you know, when you go to any system, whether it be Claude or Codex, typically ask precursor questions to get more context to make sure that your prompt is good as it can be, right, so it knows what to use. Same thing here with Helium. I did when building a comprehensive keyword bank for wall decor. So I’m asking it to use every appropriate Helium 10 source available, including Brand Analytics, top search terms, Magnet, Cerebro, keyword database, historical keywords, top performing organic and sponsored keywords, opportunity keywords, and so on.
Andrew:
And then identify the leading wall decor ASINs too and use them for additional reverse ASIN research. Continue through the available results page rather than stopping at first batch and then merge, de-duplicate, normalize all terms, preserving search volume, ranking, conversion, etc. And then cluster the final bank by product type, material style, room size, color, audience use case, and shopper mission. Separate broad category terms from specific subcategory and long tail terms and remove clearly relevant searches and rank the final keyword bank by demand relevance, competitive importance, and conversion evidence. And so here I’m going to ask it not to approve intermediate steps because usually it would do that. And to complete the research here, return the strongest possible wall decor keyword universe. So one thing you know, it’s a good response. We’re used to like immediacy with ChatGPT. Claude, I think if you’re a user, you’ve probably come used to like waiting much longer. But with ChatGPT, I know it’s been much faster before. But now as we all begin to use Claude code and Codex, if you’ve heard of those before, you’ll see that to get a better answer, right, you have to wait for it to reason through everything. So I’m going to let this here run in the background as I take you through an example that I had already done.
Andrew:
So here’s that wall decor keyword bank I was talking about. So 8,000 raw keyword rows here gives you the seed and all of that. And then here’s the bank overview of the total amount and the count and then the ones with greater or equal to 500 search volume and so on and so forth. And then you have the type of keyword distribution. So there’s broad keywords, subcategory and more long tail. Ones that are, you know, five plus words are the long tail. And then it shows the total search volume across all of that, of course. And then when you go down here, you have the top 50 keywords by composite score. So you have 40% demand, 20% source breadth, 15% weekly sales, 15% CPS plus 10% trend. So now you have wall decor, search volume here, sales a week, CPS score. You have the 30 day trend here and then it shows you the exact sources actually, that had come, come from as well. The keywords were found and brought to, so I have a lot of listings actually that have keywords. So you can tell here that it must have, you know, brought from listening builders as well. And if you ever want to check the work of it to go to the thinking part and then you can see where it started, it completed and then, yeah, now you have your raw, you have generated answer. So here’s the product type clusters, the top 10 per cluster I was talking about for general wall decor.
Andrew:
I tend to focus obviously on like search volume and sales a week. I’m the big guy on keyword sales per search term. That’s telling you a lot more than just merely search volume. And then shelves, you know, you have this number of keywords. So like voting shelves, shelves for wall and then wall panels is a different cluster. Sconces and lighting is another cluster. Box plants, greenery is another cluster. and then you’ll know your own, I see, you know, ICP, whatever that might be, bring those together. And then you have style distribution here, room distribution, color distribution, and then key findings to that go along with that. And then I ran it again. It’s like, whoa, this is really cool. Is it going to do it again? And then it did this, the same thing. and it can do that specifically for, for any keyword bank. So you’ll have the prompt available to you. All you have to do is take the prompt and plug in whatever search term you want. And then you can use this prompt specifically. If you haven’t already screenshotted and then use AI OCR to grab the text and move it over to your own computer, we can send the prompt to, something that’s, I think has been very useful so far for me.
Andrew:
And then also, for clients as well, when you’re building really big keyword, you know, universes. All right. Now we’re going to look at another prompt. I asked it to fully optimize an Amazon ASIN here for US marketplace. And the reason I have all this text in there is because previously, you know, it would ask follow-up questions, which it rightly should. But just to show you like the full capability of what’s happening, I asked it to fully optimize this ASIN for the US marketplace. First identify and select the top five most relevant competitor ASINs based on product similarity, shopper substitutional ability, substitution ability. I don’t even know if that’s a word, sales reviews and keyword overlap, optimize the complete listing, including item name, highlights, bullet points, description, analyze all available catalog images and use all of them, all the images in there. I have no additional product notes or corrections. Use the number one selected competitor as the brand ASIN reference and use the top two relevant competitors for the Alexa for shopping Q&A. Use all available and appropriate keyword sources to build a keyword bank using my ASIN and the five selected competitors. Determine the strongest keyword allocation across the title. That is the item name, highlights, bullets and description. Make reasonable decisions at every stage and complete the fully optimized listing. Without asking me to approve or confirm intermediate steps.
Andrew:
So what Helium will do very consistently usually is ask you questions, like to approve or confirm, like, hey, do you want this to happen? And you can actually guide it to say what you wanted to ask and what you don’t want it to ask by the prompt that you give it. So like, I kind of got tired of asking, like, oh, is it in the US? Like, well, that’s just, you know, another question. I totally understand that, right? But it’s really cool being able to work with all your data right here within Helium. And so you can definitely tell it’s also an agentic, it’s not just merely a chatbot. It’s taken from a variety of data sources across the whole site, aggregating them, putting them together into unique insights. That’s a very agentic capability. You know, it begins, it uses skills. So here is fully optimized listing. You have the competitor selection here for the Stanley Quencher Tumblr. And here’s the product, why it was, give you the reason why it was selected. And then it’ll tell you which ones it chose for the Alexa for Shopping Q&A. And then it’ll give you your keyword bank and allocation. So 300 keywords sourced from six sources, ABA converting keywords, top keywords, opportunity keywords, historical top keywords, top performing organic keywords, and top performing sponsored keywords. All 300 phrases are passed to this generator and 21 allocated keywords were placed in specific slots. So it basically, based on a keyword performance score, took the best 21 allocated keywords to be able to put those keywords and plan to put those keywords in for you in your bullets, right?
Andrew:
And this is a part where you can ask it to edit. So if you need to edit like any of the keywords you want in there, but the point of this is to be able to write naturally while having as much keyword rich language because Amazon very much so operates on that still to this day, as well as for AI visibility. So yeah, make sure, you know, you edit, you look through, but here’s your item name, item highlights, bullet points, your description, and then it has a missing keyword check, all were appear, they’re assigned slots. And then, yeah. So this is another one. This is probably one of my favorites. I’ve been continuing to test this. There’s a lot of gold to send. You gotta keep in mind too, we’re the only ones in the market as well that has Helium. Helium is a very powerful, powerful agent. And what’s really cool is like, you can, this is the mode that you have here. And then you have switched to classic mode. I remember first, you know, can see when we were, you know, conceiving of this really is like, how can we, you know, distinguish ourselves from the rest of the market and just give something that, you know, directly works within. And, you know, this is something that’s, Helium 10 has been on the forefront of, from the very beginning. It’s really exciting to be a part of that.
Andrew:
And to contribute prompting as well. And to provide prompts too for you guys. But yeah, reach out to me if you’re, if you have any questions about Helium on LinkedIn, if you’d like to, and we can talk more about everything there. So, all right, everyone, look, while we were waiting, right? It’s like five or 10 minutes later, you know, this is like a lunch break or something. Or if you’re doing another task, you can just have it run. In the background, while you’re doing a new chat, right? And just, and just keep going this way. And this is where you can, you can really chat with your data, right? So you can ask it like, okay, can you break this down by intent type? It’s not starting analysis, the run started, and then we can come back to it when we want to. And then maybe let’s ask a question in here and ask for these keywords on this one. Let’s ask, can you sort these by branded, non-branded? This is the thing too, is like asking follow-up questions to all of this can be extremely powerful and can yield useful insights for, you know, your business now, but then also for the things that go on later. So I got two going at once here. Okay, what do we got? Sweet. Awesome. Check this out. Look at this. While the quarterback and keyword bank intent breakdown. So here’s all the keywords, 10 shopper intents ranked by total search volume. Wow. So now you have, you know, general category here. You can always open this up too, to see more specifically, but you have general category browse, room targeted browse, specific product search, attribute specific, style driven browsing. What’s a solution, problem solving. It says for solution problem solving, like keywords, there’s a total of 246,000 total search volume for that. Wow. This is really cool. I already know there’s people thinking, yes, it’d be a great idea. We’ll probably have a skill, like a Cosmo skill, if you will, that breaks up this into keywords for Cosmo, right? For the 15 things people talk about. I think that’s, you know, a good, pretty good strategy too.
Andrew:
Brand navigational. So once you get the bank here, the keyword bank here, you’ll be able to, you know, ask it a lot more questions of what you want it to do. So, you know, if I were to say, oh, can you break it down into more sub intent types? Okay. Now you can break it down by the Cosmo intent types. Okay. So once that’s done, I’m going to go into here. Looks like this one finished. And let’s see what I asked it again. Said, can you sort by branded, non-branded? Yep. And then they’ll sort by branded, non-branded. Now I want you to, can you organize by Cosmo intent as defined here? I think what I love is just keeping the conversations going. But if you’re not familiar with Cosmo, there’s a lot of, you know, really neat things you can play around with it. Like for example, asking the questions of like, okay, what is it used for? What event is it sufficient for? Who is the audience? What is it capable of? You know, really getting down to how it’s used, concepts. You know, what time or season is this used? What location, possible location? You know, is it used on your body parts somehow? Like where you use a cream of some sort? Things like that. Okay. I’ll see what we got here.
Andrew:
Okay. So here it broke it down. 13 intent categories broken into 93 sub intents. Specific to your product. So of all these, you have the general browse, room targeted. So let’s see specifically for room targeted. Okay. This is great. Look, this is the search volume of the keywords that they were brought up. Your bathroom, they’re using the bedroom, office workplace, living room, kitchen, dining, dorm, college, laundry, staircase, hallway, entryway, commercial, professional. Hey, that’s something really I haven’t thought too much about before is having wall decor. I’m always thinking home. I’m always thinking office workspace. I’m never really thinking like, oh, do you want to have it in a gym? You know, but that makes sense. And then of course, coffee shops and such. As you can see how it sparks ideas like this. Outdoor patio. Yes. I love outdoor middle wall art and Cape Gamer, of course, nursery kids team. Yes. And then different materials too. Wood. Yeah. Wood’s a great one. The color black, glass and mirror. Yes. People love wall decor with like glass edges or a mix and match of both mirror and wall decor in it as well. Love gold mirrors, for example, exact dimensions. Okay. Large canvas here. And then it shows here the keywords next to it as well. So this is important. So yeah, this is, this is very cool. Okay. So this is the chat where I asked it to break down. Yep. By the Cosmo.
Andrew:
Okay. So Cosmo intent classification, wall decor, keyword bank. But most people don’t know is like, they talk about the 15 questions, but there’s actually 11 Cosmo relation types. And this is just one knowledge graph among so many in Amazon. So Amazon search a nine does not use his Cosmo, right? But Cosmo does not replace a nine. A nine is still the algorithm for, for Amazon search. Okay, cool. So somebody by relation type used as functional role number of keyword search volume for each of these. Wow. And then it breaks it down. Why that’s the case. So here’s the product types and here’s the search terms that goes with that. Here’s the used in location. It’s very similar to what we looked at a little bit before used as interested in, used for, used for here, used with shelves, bed, fireplace, TV, yep. Desired activity, decorate a room, create gallery wall. Yep. You can see that here. All storage. Very cool. Anyways. Yeah. If you’re only request I have million 10 is to let me build skills now, right. To put those in. But thank you so much. And I hope you enjoyed these. We will get these prompts over to you as well. And also been building a Helium 10 prompt generator too. I’ve been really excited to get that going. So that I’m hoping to release that at some point soon to reveal to you guys. Anyways. Thank you. Appreciate it.
Bradley Sutton:
All right. Thank you very much, Andrew, for that. So what do you guys think? Is this doable for anybody regardless of what level of AI you’re at? I hope you can agree with me there. Whether you’re advanced, whether you’re brand new in AI, whether you already use Claude, whether you don’t use Claude at all, or chat, you can use these 10 prompts right now in the Helium 10 Agent. Let us know guys. Well, what you think of these, of these prompts, which one was your favorite? Which one of mine was your favorite? Which one of Andrew’s was your favorite? Is there something that you guys want to see? That we don’t have yet for this agent, right? Like did you run into any obstacles? Don’t forget, go into your Helium 10 dashboard. At the very top, there is this send feedback button. It’s like a little quotation box, right? Hit that button and then hit give feature ideas. If there’s anything that our MCP or agent can’t do yet that you want it to do, let us know. We look at this every week. All right, guys, I hope you enjoyed this episode. Comment below what you thought, which one was your favorite prompts, which ones you used, and some of those numbers, maybe that came out and we’ll see you in the next episode.
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