# Rewrite your Amazon listing with your competitors’ keywords. And answers to what buyers complain about

An Amazon listing rewrite adds the searches competitors win and answers the doubts buyers raise. With Agentik, your AI reads your listing, its competitors and their keywords with DataForSEO, finds buyers’ complaints on Reddit with Exa, and drafts infographics with fal.

- For: Amazon sellers and brand managers
- Providers: 3 (DataForSEO, Exa and fal.ai), 5 tools
- Example (One listing in the United States, 10 competing products, keywords for 3 listings, one Reddit search, 2 infographic drafts): at most $0.45, computed from the live catalog
- Updated: 2026-10-10

## 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** (3 tools, at most $0.28): Your listing, its Amazon competitors and the keywords each ranks for.
- **Exa** (1 tool, at most $0.06): Reddit threads where buyers say what goes wrong in the category.
- **fal.ai** (1 tool, at most $0.12): Two infographic drafts for the image stack.

## Give this to your agent

```text
Use my connected Agentik MCP server for this job: amazon listing rewrite.

Rewrite my Amazon listing. First ask me for my ASIN, my country and anything the listing must keep.

Read my listing with dataforseo/amazon-asin. Find the products Amazon pits against it with dataforseo/dataforseo-labs-amazon-product-competitors. List the keywords my listing and the two strongest competitors rank for with dataforseo/dataforseo-labs-amazon-ranked-keywords. Find what buyers complain about in the category with exa/search. Draft an infographic with fal/ideogram-v3.

Finish with the keywords I miss, a new title, five bullets that answer the complaints, a backend search term list and two infographic drafts.

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

- Your ASIN
- Country
- What the listing must keep

## What you get: a rewritten listing with two infographic drafts

- Keywords competitors rank for and you don’t
- A new title and five bullets
- Backend search terms
- Two infographic drafts

## How to rewrite an Amazon listing in Claude or ChatGPT

Prices are the most each call can reserve for this example: One listing in the United States, 10 competing products, keywords for 3 listings, one Reddit search, 2 infographic drafts.

### 1. Read your listing

DataForSEO reads your Amazon listing as shoppers in your country see it.

- [Amazon product page by ASIN](/tools/dataforseo/amazon-asin.md) `dataforseo/amazon-asin` (DataForSEO, 1 listing): at most $0.02

### 2. Find its competitors and their keywords

DataForSEO Labs lists the products Amazon pits against yours and the keywords you and the two strongest competitors rank for.

- [Amazon product competitors](/tools/dataforseo/dataforseo-labs-amazon-product-competitors.md) `dataforseo/dataforseo-labs-amazon-product-competitors` (DataForSEO, 10 products): at most $0.04
- [Amazon ranked keywords](/tools/dataforseo/dataforseo-labs-amazon-ranked-keywords.md) `dataforseo/dataforseo-labs-amazon-ranked-keywords` (DataForSEO, 100 keywords each): at most $0.22

### 3. Hear what buyers complain about

Exa searches Reddit for what goes wrong with products like yours.

- [Exa web search](/tools/exa/search.md) `exa/search` (Exa, 10 threads): at most $0.06

### 4. Draft the infographic

Ideogram 3 drafts two infographics for the image stack, one image per call.

- [Ideogram 3 text to image](/tools/fal/ideogram-v3.md) `fal/ideogram-v3` (fal.ai, 2 images): at most $0.12

### 5. Rewrite the listing

Your AI writes the keywords you miss, a new title, five bullets that answer the complaints and backend search terms.

Example total: at most $0.45. Each call is billed for measured usage; unused reservations are released.

## Ask it your way

- Rewrite my Amazon listing for a standing desk with the keywords my competitors rank for.
- Which Amazon searches do my competitors win that I don’t?
- What do buyers complain about with standing desks, so my bullets can answer it?
- Draft an infographic for my product’s main features.

## Why through Agentik

- Amazon data, Reddit threads and image drafts come from DataForSEO, Exa and fal through one connection.
- The keyword lookups are the largest share of the price.

## Good to know

- Amazon keyword data is DataForSEO’s estimate for the marketplace you choose.
- Check Amazon’s style rules for titles and images before you publish.

## When to use something else

For automated listing optimisation across hundreds of ASINs, use an Amazon seller suite. This playbook rewrites one listing with the evidence beside each change.

## Amazon listing rewrite: questions

### Will it change my listing on Amazon?

No. It writes the new listing; you paste it in Seller Central after checking Amazon’s style rules.

### Which marketplaces work?

The Amazon marketplaces DataForSEO covers; your agent asks for yours.

### What does the example cost?

At most $0.45, reserved before each call and settled at the measured usage.

## Keep going

- [Amazon product research](/amazon-product-research.md): Amazon search demand, the listings that win and their sellers, seasonality, who advertises, and what buyers complain about.
- [Product review mining](/product-review-mining.md): Reviews of your product category from Google Shopping, TikTok Shop and Trustpilot, plus Reddit threads, sorted into what buyers love, hate and wish for.
- [Competitor price check](/competitor-price-check.md): Every seller of your products on Google Shopping and Amazon with today’s price, competitors’ shipping and promotions read on their own pages, and the coupon codes in circulation.
- [E-commerce tools for your agent](/tools/ecommerce.md)
- [SEO tools for your agent](/tools/seo.md)
- [Image tools for your agent](/tools/image.md)

[All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md)

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