Josh Sale demonstrates how to use AI for product research: Google Trends Gemini for real-time trends, dropship.io and Zeke Analytics for competitor tracking, AutoDS for trending products, and LLMs to analyze social media content. He emphasizes jobs-to-be-done thinking and focusing on boring markets for sustainable profits.
A short editorial from the SEONIB team on why this content matters.
This video shifts product research from chasing viral trends to solving real customer problems, using AI tools for data-backed decisions.
Unlike typical hype-driven advice, it emphasizes jobs-to-be-done and stable boring markets—a strategy that aligns with SEONIB's focus on sustainable SEO and long-term content value.
Ecommerce entrepreneurs: apply these AI methods to find high-margin, problem-solving products and build a focused store catalog for lasting profitability.
AI-powered tool that suggests and compares related search trends from Google data.
Sales tracker that estimates revenue and product momentum for competitor Shopify stores.
Shopify sales tracker and trending score finder for revenue and best-seller analysis.
AI product tracking tool that scans millions of products to surface trending items for import.
Shopify's AI assistant that analyzes product tags and customer data for insights.
Framework that focuses on the underlying customer problem rather than the product itself.
Using large language models like ChatGPT to group social media content by customer problems.
Specific subcategories like 'minimalist cooking gear for college students' generated by AI.
How do I use Google Trends Gemini for product research?
Go to trends.google.com/explore, type your topic, click 'suggest search terms', and Gemini fills the graph with up to eight related queries showing real-time trends.
What tools can track competitor store revenue?
Dropship.io and Zeke Analytics both provide revenue estimates, product momentum, and best-seller data from any Shopify store URL.
How to find underdog products on competitor stores?
Look for products with a sales curve shooting upward in the last 7–30 days, even if revenue isn't massive yet.
What is the AutoDS trending product tool?
It's an AI feature that scans millions of products across niches, filters by likes, impressions, profit range, and ad activity, and lets you import directly to Shopify.
How to use LLMs like ChatGPT for product research?
Collect 20–30 social media video titles and captions, paste them into an LLM, and prompt it to group by core problem, audience, and price range.
What is jobs-to-be-done thinking in ecommerce?
It means identifying the customer's underlying goal (e.g., quick meal prep) and finding products that achieve that, rather than chasing random trends.
How can Sidekick help with product decisions?
After adding tags to products in Shopify, ask Sidekick to analyze products under a specific tag for a full performance report.
Should I focus on viral products or boring markets?
Boring markets like kitchen tools or pet care offer stable demand and real problems; viral products often have short shelf life and high competition.
How do I filter trending products on AutoDS?
Use the top filters for likes, impressions, profit range, and check the last comment time on ads to gauge if the trend is still hot.
How to create micro niches with AI?
Ask AI to generate 20–30 micro niches by mixing audience, context, and constraints (e.g., 'kitchen tools for college students in dorms').
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