AI found the product. AI made the ads. i make $305k/mo. (this feels illegal) Using AI to Find Winning E-commerce Products and Scale to $10K/Day This blog post outlines a process for leveraging AI tools to identify profitable e-commerce products, build effective funnels, and create compelling ad copy, ultimately scaling sales to over $10,000 per day. The process uses readily available AI tools and focuses on a systematic approach rather than complex AI techniques. Finding a Winning Product with AI The Easiest Part: Product research is surprisingly straightforward using AI. Criteria: Focus on validated products —those already proving successful. Aim for products with at least 300,000 monthly visits (as estimated by SimilarWeb), suggesting daily sales around $8,000-$10,000 or more. The key is proven market demand . The "Mark Builds Brands AI Product Research Prompt": This prompt, available via a link (presumably in the original video description), guides AI research, specifying criteria like market size, problem-solving capabilities, and desired information outputs. Using ChatGPT: Copy the prompt, paste it into ChatGPT, select "Run deep research," and let the AI work. ChatGPT might ask clarifying questions. Example: The presenter used the prompt to find five winning direct-to-consumer (DTOC) supplement products, focusing on the supplement market due to its perceived profitability. Examples included Seed, Bloom Nutrition, Mudwater, O Positive (Flow PMS gummies), and Front of the Pack. Choosing a Product: The presenter selected Flow PMS gummies due to the perceived marketing opportunities within the target market. The research process aims to find a product proven to sell at scale , defined as around $10,000/day. Building the Funnel with AI Copywriting is Key: Funnel creation heavily relies on effective copywriting. The most common mistake is high traffic with low conversion, indicating a poorly performing funnel. Foundational Documents: Four documents form the basis of all copy: Research Document: Deep research on the target market using ChatGPT. Avatar Document: Defines the ideal customer. Offer Brief: Outlines the product's unique selling proposition (USP), market awareness, and sophistication level. Necessary Beliefs Document: Identifies the beliefs the marketing needs to shift to drive sales. Marketing is about changing beliefs . Example: The presenter demonstrated creating these documents for a hypothetical competitor to Flow PMS gummies. The research document, generated by ChatGPT, is extensive and recommended for thorough review. Using Claude.ai for Copywriting: Claude.ai is presented as superior for creative writing tasks like copywriting. Creating a Claude project allows for efficient copy generation by providing a custom knowledge base. Creating a Claude.ai Project Project Setup: Create a new project in Claude.ai, providing instructions (available in the video description) and uploading the four foundational documents and numerous "swipes" (successful ad examples). Simple Prompting: The pre-loaded knowledge base allows for simple prompts. For example, requesting five advvertorial outlines for the Flow PMS gummy competitor. Competitive Analysis: Analyze successful competitors' ads to identify winning angles and incorporate them into prompts. AI is a tool; human analysis is crucial. Iterative Process: Create outlines, then full advvertorials. Refine the copy as needed. Creating Ads with AI Starting with Static Ads: Begin with cost-effective static image ads to test angles and reduce CPMs before moving to video ads. Using Sora and ChatGPT: Use Sora (an AI image generation tool) through ChatGPT to create image ads. Modeling Successful Ads: Find a successful competitor ad on a platform like Gheth Hooked.ai, download the image, and upload it to ChatGPT. Prompting ChatGPT: Prompt ChatGPT to extract text from the image, rewrite the text, and generate a new image based on the rewritten text and the original image as a reference. Iterating with Sora: Sora allows for faster iteration by generating multiple image variations simultaneously. The presenter highlights that ChatGPT's image generation is pixel-by-pixel, resulting in high-quality output. Context Window Considerations: Keep prompts concise to avoid exceeding the LLM's context window, which can negatively impact results. Summary and Key Takeaways This process demonstrates how AI can streamline e-commerce operations. By combining AI-powered research, funnel building, and ad creation, businesses can significantly increase their efficiency and chances of success. The emphasis is on using AI strategically, combining it with human analysis and understanding of marketing principles. While this process uses readily available tools, the presenter also mentions more advanced AI techniques (Agentics and AI agents) for further automation and scaling.