# Find a product worth selling on Amazon. With demand, rivals and a better angle Amazon product research checks whether a product idea has demand, who already wins it, and what you could do better. With Agentik, your AI measures Amazon search demand and reads the listings that win it through DataForSEO, checks who advertises the product on Meta with Adspy.sh, and finds what buyers complain about on Reddit with Exa. - For: Amazon sellers and e-commerce founders - Providers: 3 (DataForSEO, Adspy.sh and Exa), 7 tools - Example (One idea on amazon.com, 100 related searches, 5 listings with their sellers, 5 terms over 5 years, 20 Meta ads, 3 Reddit searches): at most $0.18, computed from the live catalog - Updated: 2026-10-07 ## Each provider does one part No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance. - **DataForSEO** (5 tools, at most $0.09): Amazon searches and their volume, the listings that win with their prices and sellers, and Google Trends seasonality. - **Adspy.sh** (1 tool, at most $0.04): Brands advertising the product on Meta, and the angles they keep running. - **Exa** (1 tool, at most $0.06): Reddit threads where buyers say what existing products get wrong. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: amazon product research. Research a product idea for Amazon. First ask me for the idea and the marketplace. Find related Amazon searches and their volume with dataforseo/dataforseo-labs-amazon-related-keywords. List the products that rank with dataforseo/amazon-products-task, then read the top five with dataforseo/amazon-asin and their sellers with dataforseo/amazon-sellers. Check five years of seasonality with dataforseo/google-trends. Find brands advertising the product on Meta with adspy/search-creatives. Search Reddit for what buyers complain about with exa/search. Finish with demand, competition, seasonality, the complaints a better product could fix, and a go or no-go with your reasons. Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged. ``` ## You provide - A product idea - The marketplace (amazon.com by default) ## What you get: a go or no-go with the evidence - Amazon searches for the idea, with monthly volume - The top listings: price, rating, reviews and sellers - Five years of seasonality, and the brands advertising on Meta - The complaints a better product could fix, with a go or no-go ## How to research a product to sell on Amazon in Claude or ChatGPT Prices are the most each call can reserve for this example: One idea on amazon.com, 100 related searches, 5 listings with their sellers, 5 terms over 5 years, 20 Meta ads, 3 Reddit searches. ### 1. Measure Amazon demand Related Amazon searches with their monthly volume. - [Amazon related keywords](/tools/dataforseo/dataforseo-labs-amazon-related-keywords.md) `dataforseo/dataforseo-labs-amazon-related-keywords` (DataForSEO, 100 searches): at most $0.03 ### 2. See which listings win The products that rank, then the top five in detail: price, rating, reviews and every seller. - [Amazon product search](/tools/dataforseo/amazon-products-task.md) `dataforseo/amazon-products-task` (DataForSEO, 1 search): at most $0.0015 - [Amazon product page by ASIN](/tools/dataforseo/amazon-asin.md) `dataforseo/amazon-asin` (DataForSEO, 5 listings): at most $0.03 - [Amazon sellers and offers for an ASIN](/tools/dataforseo/amazon-sellers.md) `dataforseo/amazon-sellers` (DataForSEO, 5 listings): at most $0.03 ### 3. Check the season Google Trends over five years shows whether demand is steady, growing or seasonal. - [Google Trends](/tools/dataforseo/google-trends.md) `dataforseo/google-trends` (DataForSEO, 5 terms, 5 years): at most $0.02 ### 4. See who advertises Brands running Meta ads for the product, sorted by how long each ad has run. - [Search ad creatives](/tools/adspy/search-creatives.md) `adspy/search-creatives` (Adspy.sh, 20 ads): at most $0.04 ### 5. Hear what buyers complain about Exa searches Reddit by meaning for problems people have with the products they bought. - [Web search](/tools/exa/search.md) `exa/search` (Exa, 3 searches): at most $0.06 ### 6. Score the opportunity Your AI weighs demand, competition and the complaints into a go or no-go. Example total: at most $0.18. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - Is there room for a premium bamboo cutting board on amazon.com? - Which standing desks win on Amazon, at what price, and who sells them? - Is demand for heated vests seasonal, and when does it start? - What do Reddit users dislike about current pet water fountains? ## Why through Agentik - Amazon and Google data, Meta ads and Reddit search come from three providers through one connection. - The product search runs as a task at DataForSEO’s lower price; your agent quotes everything before running. ## Good to know - Search volumes are DataForSEO estimates for Amazon, good for comparing ideas. - Sales figures aren’t public; reviews, rank and the number of sellers are the signals used. ## When to use something else To track sales estimates and keyword ranks every day, an Amazon seller suite fits better. Agentik suits researching ideas with your AI. ## Amazon product research: questions ### Which Amazon marketplaces work? The marketplaces DataForSEO supports; your agent checks yours before running. ### Couldn’t I just use DataForSEO directly? For the Amazon and Trends data, yes. Who advertises on Meta and what buyers complain about on Reddit come from Adspy.sh and Exa. Through Agentik your AI uses all three from one connection; the example costs at most $0.18. ### What does the example cost? At most $0.18. ## Keep going - [Product photo ads](/product-photo-ads.md): Your product page for the copy, your category’s longest-running ads as the brief, then new scenes, headlines and a clip. - [Market research](/market-research.md): The companies in the space, their pricing pages, Google search demand for the category, and what buyers say on Hacker News and X. - [Competitor ad research](/competitor-ad-research.md): Their longest-running Meta and Google ads, why they work, where they send people, and how those offers changed. - [E-commerce tools for your agent](/tools/ecommerce.md) - [SEO tools for your agent](/tools/seo.md) - [Advertising tools for your agent](/tools/advertising.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/amazon-product-research) · [Agent index](/llms.txt)