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I see this constantly. Someone spends 20 minutes prompting ChatGPT, gets a clean-looking listing, publishes it, wonders why nothing happens. The writing isn't the problem. It's what the AI is working with. ChatGPT has no access to Amazon. No search volume data, no keyword trends, no information about what buyers are actually typing into the search bar right now. It's working from general knowledge of your product category. So it writes something that sounds like an Amazon listing but isn't built on actual demand signals. The words look right. The intent behind them is a guess. The fix is simple: feed the AI real data before you ask it to write anything. Here's the exact process I use. STEP 1: Amazon AI Keyword Research: Tools: Helium 10 + Claude (our your AI of choice) Output: Keyword spreadsheet, segmented by shopper intent a) Run Helium 10 Cerebro on your top competitors: Go to Helium 10, open Cerebro, and enter the ASIN of the most relevant competitor in your niche. Run the reverse ASIN lookup to pull their full keyword data. b) Download the full report: Export it as CSV or Excel. Keep all columns. Do not pre-filter manually. Claude will handle relevance filtering and grouping. c) Upload the file into Claude (or other AI): Open Claude and attach the Helium 10 export directly in the chat. Make sure the file is fully loaded before you send your prompt. 4. Submit this prompt, replacing the bracketed fields with your actual product before sending: "Conduct Amazon keyword research for this product: [PRODUCT LINK]. I have uploaded a Helium 10 Cerebro keyword data report for "[PRODUCT NAME / MAIN KEYWORD]". Please create a comprehensive keyword research report formatted as a spreadsheet. Follow these requirements: 1. Only include keywords that are directly relevant to my product 2. Exclude any keywords with a search volume below 500 3. Identify the core seed keywords from the dataset and group all related search term variations under each seed keyword. Each group should be named after its core seed keyword (e.g. a group called "yoga mat" would contain "yoga mat thick", "yoga mat non slip", "best yoga mat", etc.)

Hey guys, I wanted to start off the year sharing a win! Here are the Amazon Ads results I achieved for December 2025 for one of my clients. There are a few important lessons here... 1) As you can see from the image, we invested $3.1k in Amazon Ads and generated roughly $59k in attributed sales, which puts ROAS close to 19x. The account reached over 11.8 million impressions, drove close to 55k clicks, and converted into consistent daily sales throughout the month, with clear spikes during peak buying days. This is a strong example of what well-structured and well-managed ads can do when they’re aligned with the listing, pricing, and consumer demand. 2) This is exactly why ads are an essential tool to support your business on Amazon . It helps you increase visibility, momentum, and generates valuable data to make business decisions. Organic alone is not enough! That said, ads are a double-edged sword. If you don’t understand how campaigns, match types, bids, budgets, and search intent actually works, ads will happily eat up your profit while giving you very little in return. Amazon Ads reward education, structure, and discipline. Guessing or “boosting everything” usually leads to frustration. Important reality check: These results are not typical, and they’re not guaranteed. Performance depends heavily on your market, your price point, your margins, your competition, seasonality, and how strong your product and listing are to begin with. What works for one product or niche won’t automatically work for another. If there’s one takeaway here, it’s this: Amazon Ads can be incredibly powerful, but only when you treat them as a skill to learn, not a button to press. I learn something new every day! How confident do you feel with Amazon Ads right now?

A new New York law kicked in today, June 9. It sounds scarier than it is, but it does affect most of us using AI creatives. Here's the clear version: What changed: If your ad or listing image shows an AI-generated person, like a fake model, fake UGC creator, or AI influencer, you now need a visible "AI-generated" label directly on the creative. Not buried in the caption. On the image itself. What's totally fine, no label needed: - AI backgrounds - AI product shots (no person) - AI-written copy - AI voiceover What needs the label: - AI face or model in an ad - AI "UGC creator" in a video or image - Any synthetic person presented as real Why it applies to you even outside NY: The law is triggered by where the viewer is, not where your business is. NY viewer = you're in scope. Penalties reportedly reach $5,000 per violation on the civil side. (Verify with your lawyer. Not legal advice.) The fix: One line of text on your creative. That's it. Copy-paste this into your next creative brief: DISCLOSURE NOTE FOR AI CREATIVES: If this ad features an AI-generated person (model, UGC creator, influencer), add the text "AI-generated" in a clearly readable font directly on the image or video. Not in the caption only. Minimum readable size, same contrast standard as your other text. Full legal breakdown from Cooley (reputable firm, worth bookmarking): https://www.cooley.com/news/insight/2026/2026-01-29-new-york-enacts-synthetic-performer-disclosure-law-for-advertisements-including-those-using-generative-ai Not legal advice. Talk to your lawyer for your specific situation.

Are you an absolute beginner just feeling things out? Have you made your first sale? Are you working on scaling your Amazon business? Where are you at with your Amazon Journey?