Canonical page: https://www.kuudo.com/solutions/

Solutions

# Pick an Amazon job. Your AI runs it on your live account.

Kuudo runs Amazon workflows for paid ads, listing, imagery and keyword teams from the AI client they already use: Claude, ChatGPT, Cursor and more. Each run reads the live account, follows your team’s thresholds and playbooks, and leaves account changes to your approval policy.

Choose [Managed MCP](/managed-mcp/), which Kuudo hosts and operates, or run it in your own [Private Cloud](/features/cloud-platforms/).

Run an agency? [See the AI-driven Amazon agency model](/amazon-agency/).

Choose your first workflow

[For paid ads teams Find where spend is going before the next review. See the paid ads solution →](/solutions/amazon-ppc-manager/) [For listing teams Know when Amazon content no longer matches your standard. See listing optimization →](/solutions/amazon-listing-optimization/) [For imagery teams Keep each live image stack accurate and complete. See product imagery →](/solutions/amazon-product-imagery/)

[See how Kuudo works →](/why-kuudo/) [See Amazon keyword research →](/solutions/amazon-keyword-research/)

Brands, sellers, vendors, and agencies connect live Ads, Seller, and Vendor data through the [Amazon Ads MCP](/features/amazon-ads-mcp/) and [Selling Partner MCP](/features/amazon-selling-partner-mcp/) — no waiting on another manual export.

The floor, not the edge

## Same tools. Same playbook. Same results.

Every tool on this list is on your competitor’s list too. Your repricer doesn’t know your catalog. It knows repricing — and it knows it just as well for the seller ranked above you. Every tool here was built on the aggregate of what operators like you worked out, then rented back as best practice. That’s the floor. You’re paying $4,850 – $13,000 a month and 7 hours a week to stand on it.

Your stack

Monthly ad spend

$180,000

Drives the percentage-priced line only

Tools you run

 Paid media platform  Repricing  Listing optimization  Product image and creative  Analytics and profit  Reviews and feedback  Inventory and demand forecasting  Warehouse and connectors

How these are estimated

Ranges are per category, never per vendor. No figure here is attributed to a named company. Percentage pricing reflects the published norm for paid media platforms; flat licenses use public list pricing. Hours assume one weekly review per tool.

What the stack takes

Tool

Cost / mo

Your time

Owned

Paid media platform

2-5% of ad spend

Pacvue · Perpetua · Intentwise · Skai

Cost$3,600 – $9,000

Time1.5 h/wk

OwnedRented

Repricing

flat license

Informed · BQool · Aura · Seller Snap

Cost$300 – $500

Time0.75 h/wk

OwnedRented

Listing optimization

flat license, tiered by catalog

Helium 10 · Jungle Scout · DataDive

Cost$200 – $600

Time1 h/wk

OwnedRented

Product image and creative

license plus render credits

Pixii · Photoroom · Flair

Cost$100 – $400

Time0.75 h/wk

OwnedRented

Analytics and profit

tiered by revenue

Sellerboard · Shopkeeper · Threecolts

Cost$200 – $800

Time1 h/wk

OwnedRented

Reviews and feedback

flat license

FeedbackWhiz · SageMailer

Cost$50 – $200

Time0.5 h/wk

OwnedRented

Inventory and demand forecasting

flat license

SoStocked · Inventory Planner

Cost$200 – $700

Time1 h/wk

OwnedRented

Warehouse and connectors

connector fees plus storage

Fivetran · Airbyte · Stitch

Cost$300 – $1,200

Time1.25 h/wk

OwnedRented

Total

$58,200 – $156,000 a year

$4,850 – $13,000

7 h/wk

0 owned

One operation, 7 rented tools

Each one was built to solve a single slice and hand the rest back to you. Nothing carries from one to the next.

21 possible connections between these tools. Your team is all of them.

## So what does make you different?

Everything the model doesn’t have. The wasted spend encoded in your negative keyword lists. The reason you never discount that one ASIN in Q3. The case wording that finally got a listing reinstated after four rejections. Years of expensive lessons, every one of them yours.

Right now that knowledge lives in your head, in a spreadsheet nobody opens, and in seven sets of vendor defaults that were never built for your catalog. It is the most valuable thing you own and the only thing not doing any work.

The alternative

## Kuudo isn’t the eighth tool.

Your AI reads your live account through the [Amazon Ads](/features/amazon-ads-mcp/) and [Selling Partner](/features/amazon-selling-partner-mcp/) connections and runs on your rules instead of a vendor’s defaults. Choose Managed MCP or Private Cloud. Three things make that work.

Live account context

### Your account, as it is right now

Every run starts from the campaigns, listings, audiences, and orders Amazon is serving this minute, not an export somebody pulled last Tuesday.

[See Amazon connections →](/features/)

Your operating judgment

### Your judgment, running every time

Your thresholds, your exceptions, your approval rules become a playbook the work follows. The same job runs the same way across accounts, and on the days you aren’t watching.

[See the playbooks →](/features/skills/)

Human control

### Your call, before anything changes

Audits and reports stay read-only. When a run can change the account, you see the proposed action and it waits for the approval you configured.

[See an approval workflow →](/guides/human-approval-for-amc-activation/)

So the negative keyword list stops being a document and becomes a rule the account enforces. The Q3 exception holds whether or not you’re the one watching. The reinstatement wording that works runs every time, not just when you handle the case yourself. Your newest hire operates like your best one, because the account already knows what your best one knows.

Run accounts for clients and it works the same way in your favor: the playbook you built becomes the thing you sell, and it runs as well on the twentieth account as it did on the first. Your playbooks and rules remain yours whichever deployment you choose.

That’s the moat no competitor can get around: private, owned, yours — and it compounds.

Account connection

## Amazon Ads MCP

Connect Sponsored Ads, Amazon DSP, and Amazon Marketing Cloud so each run starts from the account data Amazon is serving now.

[See the Amazon Ads connection →](/features/amazon-ads-mcp/)

Your workspace

## Use the AI client you already know

Run the work from ChatGPT, Claude, Cursor, or another compatible client instead of adding another dashboard to the team's day.

[See supported AI clients →](/features/ai-clients/)

Transparency

## See exactly what Kuudo can access

Review the available Amazon Ads actions and their read or write status before your team connects a live account.

[Review Amazon Ads access →](/docs/mcp-reference/amazon-ads-tools/)

How it works

## See the judgment behind each run.

These guides show how Kuudo chooses a safe bid change, rejects unsupported math, and holds an account action until the evidence and approval are in place.

[View all guides](/guides/)

[

Agents · Decision rules

### Amazon PPC Bidding Rules That Prevent Bid Thrash

Set Amazon PPC bidding rules around data sufficiency, an ACoS deadband, and a daily bid clamp so an agent changes bids only when all three agree.

![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg)

Thomas Spicer

10 min read

Jul 26, 2026

](/guides/rules-agent-bidding-rulebook/)[

Agents · Decision rules

### Amazon ACoS Formula: Use the Right Data

Use the Amazon ACoS formula only with ad spend and attributed ad sales. Route Search Query Performance data to metrics its fields can actually calculate.

![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg)

Thomas Spicer

13 min read

Aug 7, 2026

](/guides/rules-data-mode-router/)[

AMC · Audiences

### AMC Audience Activation: Approve Before Submission

Gate AMC audience activation behind human approval: review seed size, SQL, dates, refresh cadence, and the destination before the create call.

![Kuudo](/assets/versioned-images/logo.fd1684585a8c1070.svg)

Thomas Spicer

11 min read

May 7, 2026

](/guides/human-approval-for-amc-activation/)

Frequently asked questions

## Questions from Amazon teams.

What Kuudo runs, how your team stays in control, and where the work happens.

Does Kuudo replace my Amazon team or agency? +

No. Your operator or agency still owns the account and the decisions. Kuudo gives them repeatable playbooks that read the account, prepare the answer, and show the reasoning. Audits stay read-only, and account changes wait for approval.

What can my team run with Kuudo? +

Teams can run Amazon Ads, Amazon Marketing Cloud, Seller, and Vendor workflows from their existing AI client. Common jobs include account audits, campaign proposals, audience builds, listing work, order operations, and reporting.

What should we start with? +

Start with a frequent, time-consuming job that can run read-only, such as a paid ads audit, live listing content review, or image-stack health check. Your team can compare the result with its current process, tune the playbook, and decide when to open approval-gated actions.

Will Kuudo change my Amazon account automatically? +

Not without the policy your team sets. Read-only work can run without changing the account. A write action stays a proposal until it passes the configured checks and an authorized person approves it.

Where does Kuudo run? +

The work starts in ChatGPT, Claude, Cursor, or another compatible AI client your team already uses. Choose Managed MCP, operated by Kuudo, or Private Cloud in your own cloud account. Both connect to your authorized Amazon accounts with your team’s knowledge and rules.

Can we use our own thresholds and playbooks? +

Yes. Your team controls the thresholds, report grain, approval rules, and operating playbooks. Once those decisions are set, each run follows the same method and remains comparable over time.

What do we receive after a run? +

A run returns the report, audience, or proposed account action with the inputs, reasoning, caveats, and approval state attached. Your team can review what happened, repeat it later, and see which rules shaped the result.

The bottom line

## Start building the moat today.

Choose one read-only workflow, run it against a live account, and compare the answer with the way your team works now. Keep the judgment. Give the repetitive reading to Kuudo.

[Get started free](/contact/)
