Features in Detail

Batouxiang AI Ads Assistant is made up of five AI assistants: the Bidding Assistant, Product Targeting Assistant, Cost Saver, Budget Assistant and Weekly Report Assistant. They work together 24/7 across the whole Amazon ads workflow — find traffic → control cost → scale → review. It also supports MCP access via WorkBuddy, so you can steer all five assistants in plain language and have them run on your own instructions.

Find traffic→Control cost→Scale→Review

1. AI Bidding Assistant — three-tier seed-based bidding

No more watching every target by hand. The AI tiers every targeting unit by sales performance and prices each tier on its own evidence:

The bidding principle never changes: raise bids on cost-efficient traffic, lower them on inefficient traffic.

In one line: no manual babysitting — the AI tiers by data and prices automatically.

2. AI Product Targeting Assistant — capture competitor traffic in bulk

Every competitor's traffic is a potential order for you. The AI discovers large sets of similar-product ASINs and targets them in bulk:

In one line: bulk product targeting on competitors — low competition, steady traffic.

3. AI Cost Saver — cut wasted spend

Exploration costs money, but not a cent should be wasted. The Cost Saver stops the bleeding automatically:

In one line: the money you save is profit.

4. AI Budget Assistant — dynamic budgets

Too much budget runs away from you; too little never produces the data you need. The Budget Assistant lets budgets follow performance:

In one line: budgets flow to what performs — winners get fed, losers get cut.

5. AI Weekly Report Assistant — weekly WeChat reportComing soon

No need to stare at dashboards every day. The Weekly Report Assistant puts the week's ad performance in your hands:

In one line: see what your AI assistants achieved, at a glance.

6. MCP Conversational Control — shape your strategy in plain language

Batouxiang supports MCP access via WorkBuddy. Talk to your AI ads expert directly and have the five assistants work to your instructions — conservative or aggressive, you decide:

🛡️ Playing it safe? Tell the assistant: "Raise exploration-keyword bids by smaller steps — pushing too fast blows up ACOS." → The AI narrows the bid step on exploration keywords and builds steadily.
🚀 Going aggressive? Tell the assistant: "Raise converting-keyword bids more — we need to scale fast right now." → The AI widens the bid step on converting keywords to catch the scaling window.

Every instruction you give becomes execution parameters for the five assistants, so the intensity of bidding, targeting, cost cutting and scaling follows your playbook in real time.

In one line: you call the plays, the AI executes — ad strategy becomes programmable by conversation.

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