Stop wasting ad spend. Put a RAG-powered Amazon Ads expert inside Claude and ChatGPT.

RAG system: expert answers, not AI guesses

RAG means the AI looks up our playbooks before it answers. Every reply follows the method our team uses on managed accounts, so you get an Amazon Ads specialist’s answer, not a chatbot’s guess.

Built-in logic that protects your money

Every search term is checked against your product and the market’s median price before it is added or blocked. Ads slow down when stock runs low. New keywords start at Amazon’s suggested bid. No costly mistakes.

Custom strategies for your business

Launching a product, defending your brand, clearing stock or protecting margin: say the goal once. It becomes a strategy with its own rules and schedules, reviewed for you on time.

Tailored to every account

Your target ACoS and TACoS, your product costs, your sale calendar, your limits. No two businesses get the same plan, and an agency can run each brand its own way from one login.

Seven years of experience, working for you

What to fix first, when a budget raise pays, which “waste” is really a new product finding its feet. What we learned running ads since 2019 is in every answer from day one.

It remembers your business

Your goals, past decisions and next steps are kept for each account. Every conversation picks up where the last one ended, in Claude or in ChatGPT.

“Where is my ad spend wasted?”

Search terms and keywords that spent without an order, checked against the product they were advertised for, with the negatives ready to approve.

“Which campaigns ran out of budget while selling?”

Budget use is read every five minutes. The assistant lists the campaigns that stopped early and what a raise would cost.

“What is my real profit after ads and fees?”

A P&L per product from your sales, your product costs and the fees Amazon actually charged.

“Who is taking my share on this search query?”

Your share of impressions, clicks and purchases for each query, from Amazon’s Search Query Performance data.

“Build a campaign for this product”

Sponsored Products and Sponsored Display campaigns, checked against Amazon’s rules before anything is sent, at Amazon’s suggested bids.

“Set a rule and keep it running”

Bid, budget, status and negative-keyword rules, plus hour-of-day bid schedules, that go on working after the chat ends.

Campaigns, keywords, targets, search terms and placements for Sponsored Products, Brands and Display.

Hour-by-hour traffic and conversions, so today’s numbers are today’s.

Sales, orders, stock, returns and fees, down to the city an order shipped to.

Search Query Performance, market basket and repeat purchase, tied to the keywords you advertise on.

Each product’s rating and review counts month by month, from Amazon’s own data.

Path-to-purchase and audience overlap from weekly AMC queries.

Watchlists and movers

Follow the campaigns, products or keywords that matter and see what moved since yesterday.

Alerts

A sales drop against the usual day, or an ACoS spike, reaches you by email or WhatsApp.

Keyword rank

Where your products rank for the searches you care about, scanned on a schedule.

Every change, with who made it

Changes by you, your team, a rule, the assistant or anyone in Amazon’s console, read every fifteen minutes.

Budget use through the day

Which campaigns are about to run out, checked every five minutes.

Scheduled reports

The numbers you choose, sent to a Google Sheet on the days you choose.

What is an Amazon Ads MCP server?

MCP (Model Context Protocol) is the standard way an AI assistant such as Claude or ChatGPT connects to another system. An Amazon Ads MCP server lets the assistant read your advertising data and, with your permission, make changes, from a normal conversation.

What does RAG-powered mean?

RAG (retrieval-augmented generation) means the AI looks things up in a trusted library before it answers. Ours is built from seven years of running Amazon Ads, so your assistant follows a tested method on your data and gives the same sound answer every time.

How is ScaleSKUs different from Amazon’s official Ads MCP server?

Amazon’s server gives an assistant direct access to the Amazon Ads API and needs Amazon Ads API credentials. ScaleSKUs joins your ads data with your sales, stock and fees, adds ready-made analysis and approvals before changes, and runs rules and bid schedules for you between conversations. Some teams use both.

Do I need Amazon Ads API or developer access?

No. You sign in with Amazon through its official sign-in and choose which accounts to connect. ScaleSKUs is an Amazon Ads Verified Partner and holds the API access.

Can the assistant change my campaigns without asking?

Only if you allow it. By default a change is raised as a task for you to approve. Each account can be set to view only, manual only or full access, and live changes can require two-factor confirmation.

Which assistants does it work with?

Claude and ChatGPT, and other assistants that support MCP connectors. Setup steps are on the Connect AI page.

Which marketplaces and account types?

Seller Central and Vendor Central accounts across the 16 marketplaces we serve, including India, the US, the UK, the UAE and Europe.

What does it cost?

Plans are priced by the number of Amazon accounts, not by ad spend. Every plan starts with a 14-day free trial with no card. See the pricing page for current prices.