ads_sp_get_product_recommendations
Sponsored Products: suggested target ASINs (product targets) for your advertised ASINs — competitor / complementary ASINs Amazon considers relevant, each with the themes that produ
readAmazon Adsads.sp
ced it (e.g. "Similar items (frequently viewed together)"). Amazon Ads API · getProductRecommendations · POST /sp/targets/products/recommendations Docs: https://advertising.amazon.com/API/docs/en-us/sponsored-products/3-0/openapi/prod#tag/Product-Recommendation-Service/operation/getProductRecommendations
Call it
In an AI client (MCP)
{
"name": "ads_sp_get_product_recommendations",
"arguments": {
"store": "myStore-US",
"countryCode": "<countryCode>",
"body": {}
}
}From code (Tool API)
curl -X POST https://api.sellersheetai.com/api/v1/tools/ads_sp_get_product_recommendations \
-H "Authorization: Bearer $SELLERSHEET_API_KEY" \
-H "Content-Type: application/json" \
-d '{"store":"myStore-US","countryCode":"<countryCode>","body":{}}'Early access — the Tool API is open on request, contact us.
Arguments
| Name | Type | Description |
|---|---|---|
storerequired | string | the store ref `<store>-<CC>` (name-country, e.g. 'myStore-US') — one of get_user_context's store_refs, verbatim. |
countryCoderequired | string | the Ads profile's 2-letter country code (e.g. 'US'). |
bodyrequired | object | {"adAsins": ["B0XXXXXXXX", ...], "count": 25, "cursor": "..."} — adAsins is the ASINs you advertise; count is optional (default 5); cursor pages from the previous data.nextCursor (send the same count with it). |
Result
Every tool answers {notification, data, human_action}; data carries:
- Amazon's payload in data.result.
Gotchas
- Best practice: get bids for the picked ASINs with ads_get_theme_based_bid_recommendation_for_ad_group_v1 (targetingExpressions [{"type": "PAT_ASIN", "value": "<asin>"}]), then create them as PRODUCT targets with ads_create_target (targetDetails.productTarget, matchType PRODUCT_EXACT).