Playbook · Marketing and e-commerce · Amazon sellers and e-commerce founders
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.
Get $5 free credit See the prompt
- providers
- 3
- tools
- 7
- example, at most
- $0.18
Prices from the live catalog · updated
- Step 1: Measure Amazon demandDataForSEO$0.03
- Step 2: See which listings winDataForSEO$0.06
- Step 3: Check the seasonDataForSEO$0.02
- Step 4: See who advertisesAdspy.sh$0.04
- Step 5: Hear what buyers complain aboutExa$0.06
- Step 6: Score the opportunityYour AI, no tool call
Paid from one prepaid balanceat most $0.18
Why 3 providers
Each provider does one part. Your AI does the rest.
No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection.
DataForSEO
Amazon searches and their volume, the listings that win with their prices and sellers, and Google Trends seasonality.
5 tools · steps 1, 2 and 3$0.09
Adspy.sh
Brands advertising the product on Meta, and the angles they keep running.
1 tool · step 4$0.04
Exa
Reddit threads where buyers say what existing products get wrong.
1 tool · step 5$0.06
Without Agentik
3 accounts, 3 API keys, 3 bills.
- DataForSEOSign-up, card, API key, bill
- Adspy.shSign-up, card, API key, bill
- ExaSign-up, card, API key, bill
Then code to call each API, retry it and join the results before your AI can use them.
With Agentik
One connection. One prepaid balance.
- 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.
- Your AI shows the price before each call, and a call that ends in an error is refunded.
Step by step
How to research a product to sell on Amazon in Claude or ChatGPT. Step by step.
Prices are 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. They are the most each call can reserve at today’s catalog prices.
Step 1: Measure Amazon demand
DataForSEORelated Amazon searches with their monthly volume.
Tools called in step 1 Amazon related keywords dataforseo/dataforseo-labs-amazon-related-keywords100 searches at most $0.03 Step 2: See which listings win
DataForSEOThe products that rank, then the top five in detail: price, rating, reviews and every seller.
Tools called in step 2 Amazon product search dataforseo/amazon-products-task1 search at most $0.0015 Amazon product page by ASIN dataforseo/amazon-asin5 listings at most $0.03 Amazon sellers and offers for an ASIN dataforseo/amazon-sellers5 listings at most $0.03 Step 3: Check the season
DataForSEOGoogle Trends over five years shows whether demand is steady, growing or seasonal.
Tools called in step 3 Google Trends dataforseo/google-trends5 terms, 5 years at most $0.02 Step 4: See who advertises
Adspy.shBrands running Meta ads for the product, sorted by how long each ad has run.
Tools called in step 4 Search ad creatives adspy/search-creatives20 ads at most $0.04 Step 5: Hear what buyers complain about
ExaExa searches Reddit by meaning for problems people have with the products they bought.
Tools called in step 5 Web search exa/search3 searches at most $0.06 Step 6: Score the opportunity
Your AIYour AI weighs demand, competition and the complaints into a go or no-go.
What you get
What you get: a go or no-go with the evidence. In your conversation.
You provide
- A product idea
- The marketplace (amazon.com by default)
Your AI returns
- 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
| Product idea | Monthly searches | Top price | Sellers | Complaint to fix |
|---|---|---|---|---|
| Oak standing desk | Wobbles at full height | |||
| Compact desk | Cable mess | |||
| Desk with drawers | Slow motor |
Placeholders: your rows come from your run.
The prompt
Paste it into Claude, ChatGPT, Codex or Cursor.
Once Agentik is connected, your AI asks for your inputs, checks each tool and shows the price before anything runs.
Or 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?”
What it costs
At most $0.18. From one balance.
Each provider’s own price, with 0% markup. Each call reserves at most the amount shown, is billed for what it actually used, and the rest is released. A call that ends in an error is refunded.
DataForSEO$0.09
- Amazon related keywords100 searches$0.03
- Amazon product search1 search$0.0015
- Amazon product page by ASIN5 listings$0.03
- Amazon sellers and offers for an ASIN5 listings$0.03
- Google Trends5 terms, 5 years$0.02
Adspy.sh$0.04
- Search ad creatives20 ads$0.04
Exa$0.06
- Web search3 searches$0.06
Total, at most$0.18
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.
Questions
Amazon product research: straight answers.
Still unsure? Ask us.
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
More playbooks for your AI.
Firecrawl, Adspy.sh and fal.ai
Product photo ads
Your product page for the copy, your category’s longest-running ads as the brief, then new scenes, headlines and a clip.
3 providers7 toolsexample at most $1.09
Exa, Firecrawl, DataForSEO, Hacker News and X
Market research
The companies in the space, their pricing pages, Google search demand for the category, and what buyers say on Hacker News and X.
5 providers7 toolsexample at most $0.43
Adspy.sh, Firecrawl and Internet Archive
Competitor ad research
Their longest-running Meta and Google ads, why they work, where they send people, and how those offers changed.
3 providers6 toolsexample at most $0.67
Browse the tools: E-commerce · SEO · Advertising
Run it today
Start with $5 on us. Then just ask.
Sign in with Google or GitHub, connect your AI with one link, then paste the prompt. Eligible new accounts get $5 of credit for low-cost calls.
No card · No subscription · 0% markup on tool calls