Amazon agency

The Amazon Agency, Rebuilt on AI

An Amazon agency runs a brand's advertising, listings and account work. The leading agencies now run that work through AI: agents that read the live account, run the agency's own playbooks, and put every change on the record for the client to see. They grow clients faster, run leaner, and keep the method that makes them different.

Kuudo is not an agency. It is the platform the AI-driven agency runs on, and the one a brand can ask its agency to run on.

Book a working session See the hiring checklist

Illustrative run log from a Monday listing pass, one entry per client workspace
requesting user	agent	workspace	parameters	result summary	approval state
Account lead	Claude	Client A	Catalog health scan	Issues grouped by code, suppressed listings first	No write
Account lead	Claude	Client B	Title, preview	Title trimmed to the policy cap	Waiting for approval
Strategist	Claude	Client C	Bullets, preview then submit	Bullets rewritten, new claim held for compliance	Approved
Account lead	Claude	Client D	Backend search terms	Search terms cut under the byte limit	Approved
Account lead	Claude	Client E	Suppressed listing	Missing attribute added	Approved

Illustrative · The run log a client sees after a Monday listing pass · highlighted: the strategist's change

The shift

From manual work and scattered tools to AI-assisted operators.

Then

Manual work, scattered tools

Reports, bid changes and listing fixes ran by hand, or across a basket of separate tools for retail, ads and creative. Every new client added more exports, more logins and more people.

Now

AI-assisted operators

Efficiency
Automation
Acceleration
Accuracy
Iteration

Operators run the same work with AI, on the live account, and the agency keeps its method as its own intellectual property.

Three things changed.

Your AI client

The AI clients your team already opens every morning can now work on Amazon directly.

Amazon tools

Amazon Ads, Selling Partner and Vendor Central now run as services your AI can call, from campaigns to purchase orders.

Skills

Skills turn your team's logic and workflows into playbooks the agent runs, so the method becomes IP you own: your moat.

The model

What the AI-driven Amazon agency does differently

The services an Amazon marketing agency used to sell separately, advertising and PPC, listings, listing content and SEO, FBA inventory and inbound shipments, account management, brand management, vendor work and creative, now run through one agent. Three outcomes follow.

Outcome

It grows clients across the whole Amazon job

One agent covers Amazon Ads (711 operations, Amazon Marketing Cloud included), seller operations (304), Vendor Central (40) and product creative. The agency sells the whole Amazon job, not one silo of it.

Outcome

It runs leaner

Reports, audits, bid passes and listing fixes run as Skills. The team's hours go to strategy and to clients, not to exporting spreadsheets.

Outcome

It optimizes continuously

Work runs on live account data and Amazon operating knowledge, not last week's export, so advertising management and PPC optimization happen when the account changes.

The full-service Amazon agency, without the headcount

Full service used to mean a team per channel. On one agent, a small team runs ads, listings, vendor and creative for every client, with the same playbooks and the same record.

What each service runs on

Illustrative

A Monday listing pass

Trigger
Monday morning, the agency runs a listing health scan on each client's catalog, naming the seller and marketplace for every run.
Agent work
The agent runs the listing optimizer Skill through the Selling Partner MCP. It groups issues by code and ranks them by what Amazon did: suppressed listings first, then search, then attributes.
Agency judgment
The strategist picks the listings to deep-audit and the fixes to draft. The Skill pushes back on any edit that contradicts the product, and holds a new claim such as "antimicrobial" for a compliance check.
Approval
Every listing patch runs as a preview first, showing each field from and to. Nothing is submitted until the strategist replies confirm. A+ Content takes its own dry run and two confirmations.
What the client sees
The client opens the run log and sees each change: the requesting user, the agent, the workspace, the parameters, the result summary and the approval state. A submitted patch reads accepted: validated, not yet live.

Where agencies start

Start with one job, then run it for every client.

Pick a job your team repeats on every account. Run it read-only on one client, set the thresholds the agency's way, then run the same playbook across the rest.

Paid ads Find where spend is going before the next review. See the paid ads solution Listings Know when Amazon content no longer matches your standard. See listing optimization Product imagery Keep each live image stack accurate and complete. See product imagery Keyword research Turn Search Query Performance and Brand Analytics into keyword decisions. See keyword research

For agencies

Your method is your moat. Kuudo is built to keep it yours.

An agency's playbook is the most valuable thing it owns. On Kuudo it becomes Skills the agency writes, keeps and runs in its own AI client, next to 19 published Kuudo Skills it can start from.

The industry default runs the other way: your team's playbooks sit on a vendor's servers, and what you know ends up improving someone else's product. They may anonymize you. They don't anonymize what they learned from you.

On Kuudo, everything that touches Amazon data runs in a cloud account you choose, and Kuudo does not train on it. Which model provider your AI client uses, and on what terms, stays your choice.

Don't just ask where your data goes. Ask where the learning goes.

Deploy where it fits the client: your own cloud, or the client's when a brand asks for it. Client organizations and team seats come with the plan (see pricing).

Who holds what when an agency and a brand work on Kuudo
	Default: the agency chooses	The brand requires its own cloud
Deployment	Where the agency deploys: its cloud or the client's	The brand's own cloud account
The agency's Skills	The agency's, when it keeps its AI client, repository and access separate from the client's	The same arrangement
What the client can audit	The run log for every call	The run log, in its own account
After offboarding	Data and history stay where they were deployed, under the parties' agreement; the agency keeps its Skills	The brand keeps the deployment, data and history; the agency keeps its Skills

Give your knowledge away, and it's everyone's. Keep it, and it's your moat.

Competitors can't copy what they didn't earn.

For brands

What working with an AI-driven Amazon agency looks like

Run log

Every change, on the record

You see every change your agency makes, in the run log.

Deployment

Your cloud, when you require it

You can require the deployment in your own cloud, and then the data and history stay with you when agencies change.

AI client

Your AI, with its own access

Your agency can work in the same AI product you use, such as Claude or ChatGPT, with its own separately controlled access, so an account manager's report and your own questions come from the same live account.

Before you hire

How to spot an AI-driven Amazon agency

Ask where the learning goes.
The answer you want
The agency's method and your account's lessons stay with you and the agency, not in a platform your competitors also use.
Which AI does your team work in?
The answer you want
The same AI product you use, with its own access, not a black box you can't question.
Can I see every change you make?
The answer you want
Yes: a run log with each call's user, agent, parameters, result and approval state.
Where is the deployment, and can I require my own cloud?
The answer you want
They tell you where it runs, and you can ask for your own cloud account.
Is your method written down, or in someone's head?
The answer you want
Playbooks the team runs the same way for every client.
Does one team cover ads, Amazon Marketing Cloud, listings and vendor work?
The answer you want
One agent across the whole Amazon job, not a separate service per channel.

Guides

The judgment the agency keeps, in practice.

How an approval holds an Amazon Marketing Cloud activation, why the same AI makes the method the difference, and how a bidding rulebook turns judgment into a playbook.

View all guides

AMC · Audiences

Human Approval for AMC Activation

Gate AMC audience activation behind human approval: size the seed, review the exact payload, submit. 2000-user floor, up to 48 hours to go active in DSP.

Thomas Spicer

11 min read

May 7, 2026

Agents · Architecture

Everyone in Your Category Has the Same AI Now

Every seller has the same AI now. Your edge is the operator knowledge it lacks: the bid rules, playbooks and prompts you hand to other tools' apps.

Thomas Spicer

11 min read

May 6, 2026

Agents · Decision rules

The Agent Bidding Rulebook That Prevents Bid Thrash

A bid should move only when sufficiency, an ACoS deadband, and a daily clamp all agree. The bounded rulebook an agent runs, with the thresholds.

Thomas Spicer

10 min read

Jul 26, 2026

Frequently asked questions

Questions about the AI-driven Amazon agency.

What an Amazon agency does now, what it costs, and how an agency and a brand work on one platform.

What does an Amazon agency do?

An Amazon agency runs a brand's work on Amazon: advertising and PPC, listings and SEO, account management, brand management, Vendor Central and creative. An AI-driven agency runs that work through agents on the live account, with every change on the record.

How much does an Amazon agency cost?

Agencies price in a few common ways: a percentage of ad spend, a monthly retainer, or a mix of the two. Compare what each model pays for. An AI-driven agency spends its hours on judgment, not on exports and reports.

What is a full-service Amazon agency?

One agency that runs every channel for a brand: ads, listings, account health, vendor work and creative. On one agent, a small team runs all of it with the same playbooks and the same record.

Is an Amazon agency worth it now that AI can run the work?

Yes, when the agency brings judgment and a written method. AI runs the playbook; the agency decides what the playbook should be and when to override it. That is the value the AI-driven agency sells.

How do I choose an Amazon agency?

Ask where the learning goes, which AI the team works in, whether you can see every change, where the deployment runs, and whether the method is written down. The checklist on this page covers each.

Can an agency work in my AI and my own cloud?

Yes. The agency can use the same AI product you do, with its own access, and a brand can require the deployment in its own cloud account, so the data and history stay with the brand.