Sophie Hub MCP

Which Half of Your Ad Spend Is Working?

You are doing $25K/Month or more, spending real money on ads, and the answer is buried in a report nobody has time to pull. MCP connects your AI client straight to your live Amazon data, so you skip the exports and just ask. You do not need to know it stands for Model Context Protocol.

Your command center

Run Your Amazon Brand from Any AI Assistant

You are not signing up for another dashboard to learn. It plugs into the AI client you already have open, and your account answers there.

How can I increase my sales?

Where am I wasting ad spend?

Are my ads eating the money I need to reorder?

Is it my ads or my listing that is the problem?

Which product deserves the budget right now?

Did Amazon underpay me last month?

Did something break, or did the market change?

Plain English. No formulas, no exports, no waiting.

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What it does

It Answers. Then Your AI Builds

Ask in plain English. It answers from your live account, and gives any AI client what it needs to build the rest.

New primary imagesTwo versions of your main image, ready to test.
Listing content and copyTitles, bullets and description, written for the listing you have.
Wasted ad spend foundThe keyword, what it cost you, and the bid to set instead.
Video adsProduced from your catalogue and your best performing angles.
Profit trackingYour own dashboard, shaped the way you actually read it.
Inventory trackingCover, restock and what is about to run out.
Any other tool you wantDescribe it and it gets built, custom to your brand.
Any question about your accountAsked in plain English, answered from live data.

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Workflows

One Question. Every Tool Does Its Part

Because every tool speaks the same protocol, one request can read your account, study a competitor and produce the asset.

You ask, in any MCP client

Make my ASIN hero image look like this competitor: B0CXXXXXXX

Step 1 · your account

Your product

Reads your current main image and product details.

Step 2 · Keepa*

The competitor

Pulls their image gallery to use as the style reference.

Step 3 · Higgsfield*

The new image

Renders a new main image in that style, on your brand.

Example generated Amazon hero image: a wooden push broom with red bristles and a Made in USA tag, on a white background

Step 4 · yours

hero_image.jpg

It uses the framing and callouts already winning this category, on your product. That is what earns the click in a crowded search row.

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* Keepa and Higgsfield require their own subscriptions. Output shown is an example render.

Results

Real Results from Real Amazon Brands

From accounts Sophie Society manages, and from sellers using the same AI workflow. The same data Sophie Hub MCP reads.

13X

Monthly Sales in Five Months

Total sales$4.6K → $61.3K
Organic sales$1.3K → $32K
ACoS74% → 29%
Net profit−$157 → $19.8K
Click-through rate0.54% → 1.43%
Conversion rate10% → 16.7%

The campaigns were cleaned up first, and revenue moved from under $2K to $4K a month, then stalled. It stayed there until the listing was rebuilt: new main image, secondary images and premium A+. The month the page went live, everything turned.

Active Coco

Natural hair care, US. January to May.

Case study

7X

Return on Ad Spend, Up from 3X

ACoS33% → 14%
TACoS24% → 7.8%
Peak week£79K
Hero SKU96 units a week

Vipa Car Parts

Wiper blades and accessories, UK. Six months.

Case study

I became the decision maker instead of the data collector.

Mike Griffin