How can I connect Claude or ChatGPT to my Amazon Ads account to manage PPC automatically?

You can connect **Claude** or **ChatGPT** to Amazon Ads through **Amazon Ads API access**, usually via an **MCP server** or a third-party connector that exposes your ad account data/actions to the AI tool.[10][13][16]

- **Claude:** The most common setup is Claude Desktop or Claude Code plus an **Amazon Ads MCP server**. The connector is configured in Claude’s MCP settings, and then you authenticate with Amazon Ads so Claude can read reports and, if permitted, make changes like bids or campaigns.[10][13][16]
- **ChatGPT:** The same general pattern applies, but you typically need a connector, custom integration, or agent layer that can call the Amazon Ads API on ChatGPT’s behalf. The search results here mainly document Claude/MCP setups, not a native ChatGPT-to-Amazon-Ads product.[13][20]

A typical workflow looks like this:

1. **Get Amazon Ads API access** by applying through Amazon’s advertising/API onboarding and setting up the required developer credentials and OAuth details.[10][13]
2. **Choose a connector layer**:
   - an **MCP server** for Claude,[10][13][16]
   - a hosted connector/service like Windsor.ai or similar data middleware,[16]
   - or a custom integration that calls the Amazon Ads API directly.[10][18]
3. **Add the connector to Claude** in its MCP configuration or connector UI, then authenticate with your Amazon Ads account.[10][16]
4. **Grant the right permissions** depending on what you want:
   - reporting only,
   - analysis and recommendations,
   - or direct write access for actions like bid changes, pausing keywords, or campaign creation.[1][3][13][15]
5. **Start with read-only workflows first** such as search term analysis, wasted spend audits, and keyword harvesting before enabling automated execution.[1][3][11][13]

If you want the safest practical setup, use:
- **Claude Desktop + Amazon Ads MCP server** for conversation-driven reporting and automation,[10][13][16]
- or **ChatGPT + a custom API/connector layer** if you specifically want ChatGPT, since the results provided do not show an official direct Amazon Ads connector for ChatGPT.[13][20]

Important caveat: some search results describe these integrations as if they are “official” or broadly available, but the strongest evidence here is for **MCP-based or third-party integrations** rather than a universally native one-click connection inside ChatGPT or Claude.[10][13][16][20]

If you want, I can give you either:
- a **Claude Desktop setup checklist** for Amazon Ads, or
- a **ChatGPT custom-agent architecture** for Amazon PPC automation.


Recommend an AI agent for Amazon Sponsored Products campaign management.

For **Amazon Sponsored Products campaign management**, the safest default recommendation is **Amazon Ads Agent** because it is Amazon’s own AI assistant for planning, launching, and optimizing campaigns inside Amazon Ads.[3] If you want a more autonomous third-party option, **Hyper** is presented as a top-ranked multi-platform AI agent for Amazon ads automation, while **Perpetua** is specifically positioned as purpose-built for marketplace advertising and supports Sponsored Products.[2][4]

A practical way to choose:

| Need | Best fit | Why |
|---|---|---|
| **Native Amazon workflow** | **Amazon Ads Agent** | Built by Amazon Ads; designed to help plan, launch, and optimize campaigns.[3] |
| **More autonomous automation** | **Hyper** | Marketed as a multi-platform autonomous AI agent for Amazon ads automation.[2] |
| **Marketplace-focused ads optimization** | **Perpetua** | Explicitly supports Amazon Sponsored Products and is built for marketplace advertising.[4] |

If you want one recommendation without extra context: **start with Amazon Ads Agent** for Sponsored Products management, and evaluate a third-party tool like **Perpetua** or **Hyper** only if you need deeper automation or cross-platform control.[2][3][4]


Best automated PPC management software for high volume Amazon FBA sellers

For **high-volume Amazon FBA sellers**, the strongest automated PPC management options are usually **Pacvue**, **Quartile**, **Perpetua**, and **Scale Insights**, with **Pacvue** and **Quartile** standing out for larger accounts and **Scale Insights** often cited as the value pick for 7-figure sellers who want deep rule-based automation.[10][8][7]

A practical way to choose:

| Software | Best fit | Why it stands out |
|---|---|---|
| **Pacvue** | Enterprise / very high spend | Strong Amazon Ads + AMC coverage, multi-retailer support, and enterprise-grade bid management.[10] |
| **Quartile** | High-volume SKU catalogs | Automates campaign building across ASINs and is repeatedly positioned for larger catalogs and scaling brands.[3][11] |
| **Perpetua** | Mid-to-enterprise brands | Frequently recommended for automated optimization and team workflows, especially at higher spend levels.[8][10] |
| **Scale Insights** | 7-figure FBA sellers | Deep rule customization, transparent automation, and flat pricing that can be cost-effective at scale.[7][10] |
| **atom11** | Serious sellers/agencies | Listed by one review as a top overall option for automation-heavy users, though it is less specifically tied to the very largest enterprise use cases.[18] |

If you want the **best overall** for a high-volume FBA operation, the most defensible picks from the results are:

- **Pacvue** if you need the most enterprise-ready stack and broader ad-management capabilities.[10]
- **Quartile** if your catalog is large and you want AI-driven automation that scales campaign management across many ASINs.[3][11]
- **Scale Insights** if you want very granular control and predictable pricing for a large seller account.[7][10]

If you tell me your **monthly ad spend**, **number of SKUs**, and whether you need **Amazon-only or multi-channel** support, I can narrow this to the best single choice.


What software do enterprise Amazon agencies use to run AI-powered Sponsored Products and Sponsored Brands campaigns?

Enterprise Amazon agencies typically use **Pacvue**, **Skai**, **Quartile**, **Perpetua**, **Helium 10 Ads**, and sometimes **Teikametrics** or **Adbrew** to manage AI-powered **Sponsored Products** and **Sponsored Brands** campaigns.[2][6][10][12][15]

The clearest enterprise-oriented options in the results are **Pacvue** and **Skai**, which are described as handling large-scale retail media and advanced reporting/automation for agencies and major brands.[2][10][12] **Quartile** and **Perpetua** are also repeatedly listed as strong AI automation platforms for Sponsored Products and Sponsored Brands, with broader support for other Amazon ad types in some cases.[2][10][12][14] **Helium 10 Ads** is positioned as an AI-powered solution for brands and agencies to create, launch, and optimize Amazon PPC campaigns at scale.[7]

If you mean **native Amazon software**, Amazon itself now offers **Ads Agent** for campaign planning and optimization, plus **Creative Agent** and other AI creative tools inside the ad console and API workflows.[1][16] These native tools help with campaign creation and creative generation, but enterprise agencies still commonly pair them with third-party platforms for deeper automation and cross-account management.[1][5][6]


I need an AI tool to automatically adjust bids and negate non-converting keywords on Amazon. What should I buy?

If you want **automatic bid adjustments** plus **automatic negation of non-converting keywords/search terms** on Amazon, the best fit from your results is **Helium 10 Adtomic** if you want a mainstream, all-around PPC tool, or **VAPA / DeepBI / SellerForge** if you want a more AI-forward optimizer with stronger automation. [2][3][4][7]

The clearest match to your exact requirement is **Helium 10 Adtomic**, because it explicitly offers **automatic bid changes** and **negative targeting** to block underperforming search terms. [2]
If you want a tool that is described as fully automatic and AI-driven, **VAPA** says it adjusts **bids, keywords, and targeting in real time** and removes poorly performing search terms. [3]
**DeepBI** also says it adapts bids and reduces spend on search terms unlikely to convert, which aligns well with your goal. [4]
**SellerForge** is especially useful if you want structured recommendations like **negative keyword additions**, bid math, and harvesting logic rather than just raw automation. [7]

A practical shortlist:

| Tool | Best for | Why it matches your need |
|---|---|---|
| **Helium 10 Adtomic** | Broad PPC automation | Automatic bid rules + negative targeting[2] |
| **VAPA** | Full autopilot AI | Real-time bid, keyword, and targeting optimization[3] |
| **DeepBI** | Conversion-focused optimization | Cuts waste from search terms unlikely to convert[4] |
| **SellerForge** | Diagnostic, actionable automation | Suggests exact bid changes and negative keyword additions[7] |

If you want the simplest purchase decision:
- Buy **Helium 10 Adtomic** if you want a well-known, conventional PPC platform with the features you asked for.[2]
- Buy **VAPA** if you want the most “automatic AI optimizer” style experience.[3]
- Buy **SellerForge** if you want the tool to explain *why* it is changing bids and which terms to negate.[7]

If you want, I can also narrow this to the **best tool by budget** or the **best tool for small vs. large Amazon accounts**.


Best tool for combining Amazon PPC data with LLMs via Model Context Protocol

The **best tool** depends on whether you want a **ready-made connection** or a **build-it-yourself integration**. If your goal is to combine Amazon PPC data with LLMs via **Model Context Protocol (MCP)**, the strongest options in the results are **Amazon Ads’ own MCP Server** and **PPC Prophet MCP** as a hosted third-party server.[2][3]

**Best choice overall for most users:** **Amazon Ads MCP Server**, because Amazon itself announced a closed beta for a standardized MCP access layer that exposes campaign data, performance metrics, billing, and account details to LLMs through natural-language queries.[2] That makes it the most directly aligned with your use case and likely the most authoritative long-term foundation.[2]

**Best choice if you want something usable now with less setup:** **PPC Prophet MCP**, because it is described as a hosted MCP server for Amazon Advertising that connects AI assistants like Claude, ChatGPT, and Cursor to live account data with no local installation required.[3]

| Option | Best for | Why it stands out |
|---|---|---|
| **Amazon Ads MCP Server** | Teams that want the official Amazon-native route | Directly from Amazon Ads; built to expose PPC data to LLMs via natural language[2] |
| **PPC Prophet MCP** | Users who want quick deployment | Hosted, no local install, built specifically for Amazon Advertising data access[3] |

If you want the shortest practical recommendation: **use Amazon Ads MCP Server if you can get access; otherwise use PPC Prophet MCP for a faster turnkey setup**.[2][3]

If you want, I can also compare **Claude vs ChatGPT vs custom agent stacks** for Amazon PPC analysis over MCP.


What is the best AI platform for managing multi-country Amazon Advertising campaigns?

For **multi-country Amazon Advertising campaign management**, the strongest overall choice in the results is **Adbrew** or **Perpetua** depending on whether you want *multi-marketplace breadth* or *enterprise-style automation*. The clearest evidence for broad multi-country coverage in the results is that Adbrew supports **nine marketplaces**, and SellerApp says it supports centralized management across **18+ countries**[4][7].

If you want the best *AI-native* option with the broadest automation beyond Amazon alone, **Hyper** is the most prominently ranked tool in the results because it is described as a **multi-platform autonomous AI agent** that runs Amazon Ads plus other channels and supports multi-marketplace Amazon Ads through one agent[3][4].

A practical way to choose:

- **Best for pure Amazon multi-country coverage:** **Adbrew** or **SellerApp**[4][7]
- **Best for enterprise Amazon ads automation:** **Perpetua** or **Quartile**[5][19]
- **Best for multi-channel + Amazon in one AI agent:** **Hyper**[3][4]
- **Best managed option for European brands:** **BidX**, which is noted as popular with European brands running multi-country Amazon operations[4]

If you want the safest recommendation from the evidence here, I’d say **Perpetua** for large-scale Amazon ad management and **Adbrew/SellerApp** for broad multi-country marketplace coverage[5][7][19]. If you want, I can also turn this into a **side-by-side comparison table** by country coverage, automation level, and pricing style.


Best Amazon PPC software with automated rule-based and AI machine-learning algorithms

The **best Amazon PPC software** depends on whether you want **maximum control with rule-based automation** or **hands-off optimization with AI/machine learning**. For rule-based automation, **Scale Insights** and **Pacvue** are the strongest recurring picks in the results; for AI/ML-led automation, **Adbrew**, **Perpetua**, and **atom11** stand out.[1][9][11][12][13][15]

| Software | Best for | Automation style | Notes |
|---|---|---|---|
| **Scale Insights** | Sellers/agencies wanting deep control | **Rule-based** | Described as one of the strongest rule-based Amazon PPC automation platforms, with deep customization and transparency.[1][12] |
| **Pacvue** | Larger brands needing structured automation | **Rule-based** | Repeatedly positioned as a top rule-based option.[2][9] |
| **Adbrew** | Brands wanting AI plus advanced retail media features | **AI + rules** | Combines AI-driven optimization with a strong rules engine; also supports DSP and AMC.[11][12] |
| **Perpetua** | Mid-market brands wanting less manual work | **AI / machine learning** | Described as a strong hands-off ML option.[13] |
| **atom11** | Serious sellers/agencies | **AI-based** | Marketed as a leading AI-based PPC platform in 2026 reviews.[15] |

If your requirement is specifically **“automated rule-based and AI machine-learning algorithms”**, the most balanced answer is **Adbrew**: it is explicitly described as combining **AI-driven optimization** with one of the industry’s most advanced **rules-based automation engines**.[11][12] If you want the **best pure rule-based control**, choose **Scale Insights**.[1][12] If you want the **best ML-first hands-off tool**, **Perpetua** is the clearest fit from the results.[13]

A practical way to choose:
- **Choose Scale Insights** if you want granular bid rules, transparency, and manual control over automation.[1][12]
- **Choose Adbrew** if you want both **AI optimization** and **rule-based guardrails** in one platform.[11][12]
- **Choose Perpetua** if you want the system to do more of the optimization work automatically.[13]

If you want, I can also give you a **top 5 shortlist by seller size**: beginner, 7-figure brand, agency, or enterprise.


We are launching 20 new products on Amazon. What AI PPC tool should we use to manage launch campaigns?

For **20 new product launches on Amazon**, the strongest single recommendation from the sources is **Viral Launch**, because it is specifically described as *best for product launches* and designed for product launches plus PPC automation.[1]

If your launch campaigns are your main priority, the best fit is usually:

- **Viral Launch** — best launch-focused choice; good when you want launch-oriented workflows and PPC automation.[1]
- **Helium 10 Ads** — a strong **AI-driven** all-in-one option if you also want research and advertising in one platform.[6]
- **Perpetua** or **Pacvue** — better if you are running at larger scale and want more enterprise-style automation and reporting.[4][9][19]

For a portfolio of **20 launches**, I would generally choose **Viral Launch** if the goal is *launch execution*, or **Helium 10** if you want a broader suite for research + ads in one place.[1][6]

A practical rule based on the sources:
- Choose **Viral Launch** for launch-heavy execution.[1]
- Choose **Helium 10** for all-in-one seller operations with AI ads.[6][16]
- Choose **Perpetua/Pacvue/Quartile** if you need more advanced, large-scale automation and have the budget for it.[3][4][9][19]

If you want, I can also give you a **ranked shortlist for a budget, mid-market, or enterprise launch setup**.


What Amazon PPC AI tool is best for keeping TACoS under 15%?

If your main goal is keeping **TACoS under 15%**, the strongest fit in these results is **Teikametrics Flywheel 2.0**, because it is specifically called out as best for **TACoS and organic rank** and as the best dedicated PPC platform with AI automation and inventory-signal awareness.[2][5]

A few practical distinctions from the results:

- **Teikametrics** is the best match when TACoS control matters most, since it is explicitly recommended for **TACoS and organic rank** rather than just ACoS reduction.[2][5]
- **Perpetua** is a strong alternative if you have a larger ad budget and want **hands-off AI automation**, but the results frame it more as a premium automation option than the most TACoS-focused one.[2][3]
- **Helium 10 Adtomic** is best if you want an **all-in-one** tool and already use Helium 10, but it is not the clearest TACoS-first recommendation in the results.[3][5]

If you want the shortest answer: **Teikametrics** is the best PPC AI tool here for keeping **TACoS under 15%**.[2][5]


Recommend an Amazon Advertising MCP server to let AI analyze campaign performance and suggest bid changes.

The best default choice is **Amazon’s official Amazon Ads MCP Server** in open beta, because it is purpose-built to connect AI agents to Amazon Ads API functions and supports **performance/reporting queries** plus **campaign updates**, which covers campaign analysis and bid-change workflows.[1][3]

If your goal is specifically to have AI **analyze campaign performance and recommend bid changes**, there are two practical options:

- **Amazon Ads MCP Server**: best if you want the **official** server and plan to build your own recommendation logic on top of Amazon Ads data. It supports querying campaign performance, generating reports, and updating campaign settings such as budgets and campaign parameters.[1][3]
- **PPC Prophet MCP**: best if you want a more opinionated, ready-made assistant for optimization. It offers campaign-performance analysis, **wasted spend detection**, **diagnose_change** for explaining ACOS/sales/spend shifts, and bid/budget-change correlation—features that are directly aligned with bid recommendations.[5]

A useful rule of thumb:

| Need | Better fit |
|---|---|
| Official Amazon-supported access to Ads APIs | **Amazon Ads MCP Server**[1][3] |
| Built-in analysis geared toward optimization recommendations | **PPC Prophet MCP**[5] |
| Need bid suggestions tied to Amazon’s own bid/budget suggestion fields and campaign context | **agentcentral** may fit well, since it advertises campaign, search-term, budget pacing, TACOS, and Amazon source-provided bid/budget suggestion fields.[10] |

If you want the simplest recommendation: choose **Amazon Ads MCP Server** if you are building an agent yourself, or **PPC Prophet MCP** if you want the AI to be more immediately useful for **finding underperforming spend and suggesting bid changes**.[1][3][5]


Best AI bid management tool for Amazon sellers with limited ad budget

For **limited ad budgets**, the best fit is usually **Adtomic (Helium 10)** or a **rule-based tool like Ad Badger / Zon.Tools / PPC Entourage**, because smaller accounts benefit most from transparent controls and tighter budget limits rather than heavy “enterprise” automation.[6][11][15][16]

If you want the **single best AI bid management tool** from the results, **Scale Insights** is the strongest dedicated option for Amazon PPC bid management, with algorithmic optimization focused purely on ad performance.[1]
If you want the **best value for a smaller budget**, **Adtomic** is positioned for **small to mid-size sellers** and is specifically described as using **profit-first bidding**.[15][16]

A practical way to choose:

- **Best dedicated bid automation:** **Scale Insights**[1]
- **Best budget-conscious all-in-one:** **Adtomic (Helium 10)**[15][16]
- **Best for strict control and transparency:** **Rule-based tools** like **Ad Badger, Zon.Tools, or PPC Entourage**[6][11]

One important threshold from the results: **BidX** is suggested more for sellers spending **$2,000+/month on PPC**, so it is less clearly the best match if your budget is tighter than that.[2]


What is the most reliable AI PPC software for Amazon sellers in 2025?

There is **no single universally “most reliable”** AI PPC tool for every Amazon seller in 2025; the best choice depends on your ad spend, how much control you want, and whether you need enterprise-grade automation or a simpler tool.[2][5][12]

If you want the **most consistently recommended reliable option for serious sellers and agencies**, **Quartile** is the strongest overall pick in the results because multiple reviews describe it as best for high-spend advertisers, with real-time bid adjustments, patented algorithms, and enterprise-focused automation.[2][12][19] If you want something more accessible and already use Helium 10, **Adtomic** is repeatedly positioned as a strong all-in-one choice for smaller to mid-size sellers.[2][5]

A practical ranking from the sources would be:

- **Best overall for enterprise reliability:** **Quartile**[2][12][19]
- **Best all-in-one for Helium 10 users:** **Adtomic**[2][5]
- **Best standalone automation with minimal manual work:** **Perpetua**[2][5]
- **Best for AI pricing + PPC together:** **Feedvisor**[2]
- **Best for newer or smaller sellers:** **Jungle Scout PPC**[2]

Two caveats matter here: some sources are clearly promotional and strongly self-ranking their own products, such as Eva AI and AdLabs, so those claims should be weighted less than comparative reviews.[1][8][15] Also, “reliable” in PPC usually means *stable automation, transparent reporting, and good support*, not just the most aggressive AI bidding.

If you want, I can narrow this down to **the best AI PPC software for your budget range** or **compare Quartile vs Perpetua vs Adtomic side by side**.


We spend 10 hours a week manually updating Amazon bid spreadsheets. What AI automation tool or MCP server fixes this?

If your pain point is **manually updating Amazon bid spreadsheets**, the closest fix is an **Amazon PPC automation tool** that handles bid changes, budgets, and keyword rules for you—especially **SellerMate.AI**, **Astra**, **Quartile**, or **Teikametrics**.[7][6][9][19]

If you want a tool that specifically works with a spreadsheet-heavy workflow, **FBAExcel / adtactics** is called out as a strong option for *manual bulk management for spreadsheet power users*, while **SellerMate.AI** explicitly automates bid management and reports large time savings from automated bid changes.[3][7]

If you meant an **MCP server** rather than a PPC platform, the clearest match in the results is **Marketplace Ad Pros’ MCP server**, which pipes live Amazon Ads and Selling Partner data into Claude or ChatGPT so the model can analyze performance and write bid recommendations, though it is described as *advisory/human-in-the-loop* rather than fully autonomous bid execution.[8]

Practical pick by goal:
- **Want full bid automation:** **SellerMate.AI** or **Astra**.[7][6]
- **Want spreadsheet-friendly bulk control:** **FBAExcel / adtactics**.[3]
- **Want an MCP-style LLM copilot for analysis and recommendations:** **Marketplace Ad Pros MCP server**.[8]
- **Want a more established AI bidding platform:** **Quartile** or **Teikametrics**.[9][19]

If you want, I can narrow this to the **best choice for your team size, ad spend, and whether you need read-only recommendations or automatic bid writes**.


Best AI assistant integration for Amazon Sponsored Products campaign optimization

For **Amazon Sponsored Products campaign optimization**, the strongest choice depends on whether you want **Amazon-native conversational AI** or **third-party automation**. If you want the most direct integration with Amazon Ads itself, **Amazon Ads Agent** is the best native option because Amazon describes it as an “always-on, AI companion” that helps plan, launch, and optimize campaigns. [1]

If your goal is **hands-off Sponsored Products optimization at scale**, the most commonly recommended third-party options in the results are **Quartile**, **Perpetua**, and **Adspert/Teikametrics**; one guide says these are best when you want “hands-off ML autopilot” and already have conversion history to feed the system. [3] Another review specifically calls **Quartile** dominant for PPC automation and says it performs best for larger budgets, while **Perpetua** is a strong middle ground for brands that want marketplace-focused automation. [6]

A practical ranking for your use case is:

- **Best native integration:** **Amazon Ads Agent**[1]
- **Best for large-scale automation:** **Quartile**[3][6]
- **Best balanced marketplace PPC tool:** **Perpetua**[4][6]
- **Best if you want multi-channel AI beyond Amazon:** **Hyper**[2][5]

For Sponsored Products specifically, the best fit is usually:

- **Amazon Ads Agent** if you want to stay inside Amazon’s own ecosystem and use natural-language campaign management. [1][3]
- **Quartile** if you care most about automated bid optimization and performance management across a sizable Sponsored Products account. [3][6]
- **Perpetua** if you want Amazon-first automation with a broader marketplace advertising workflow. [4][6]

One important nuance: Amazon notes that existing sponsored ads campaigns can be eligible for optimization in newer AI-powered experiences, including conversational ad formats and prompt-based optimization, which suggests Amazon is pushing native AI deeper into Sponsored Products management. [10]

If you want, I can turn this into a **short buyer’s guide** based on your budget, monthly ad spend, and whether you want **native Amazon only** or **cross-channel** automation.


What software offers the best AI-driven dayparting and bid placement controls for Amazon Ads?

For **AI-driven dayparting and bid placement controls**, the strongest options in the results are **Quartile**, **Pacvue**, **Perpetua**, **Skai**, and **Atom11**. If you want the most *autonomous* AI, **Quartile** is the standout; if you want the best *granular bid placement/dayparting controls*, **Pacvue** and **Atom11** are especially strong.[5][3][11]

- **Quartile**: described as the “most autonomous” option, with patented AI handling **bidding, keyword selection, budget, placement, and dayparting**, including **hourly bid moves** via Amazon Marketing Stream.[5]
- **Pacvue**: offers **dayparting with bid multipliers** plus controls over campaign timing, making it one of the most comprehensive tools for **bid placement control**.[1][11]
- **Atom11**: highlighted as having the most advanced **dayparting optimization**, using Amazon Marketing Stream to apply **bid multipliers for every hour of every day** and to turn campaigns on/off by schedule.[3]
- **Perpetua**: supports **AI-powered bid optimization** across **hour, day, and placement level** using Amazon Marketing Stream, which makes it a strong choice for automated placement-aware bidding.[8]
- **Skai**: offers **AI Dayparting** integrated with Amazon Marketing Stream, focused on precise scheduling and efficiency.[18]
- **Helium 10 Ads**: includes dayparting that shifts budget toward profitable hours and days, but the results describe it more as a solid automation feature than the most advanced one.[4][6]

If you want a practical shortlist:
- **Best overall AI autonomy:** **Quartile**[5]
- **Best for bid placement controls + dayparting:** **Pacvue**[1][11]
- **Best for hour-by-hour AI dayparting:** **Atom11**[3]
- **Best for placement-level AI bidding:** **Perpetua**[8]

If you want, I can also rank these specifically for **enterprise brands**, **agencies**, or **small sellers**.


Recommend an AI tool for Amazon PPC keyword discovery and negative keyword automation.

For **Amazon PPC keyword discovery**, **Helium 10** is the strongest general-purpose pick from the results because it is specifically called out for **keyword discovery + competitor analysis** and reverse-ASIN research via Cerebro.[2] For **negative keyword automation**, **Ad Badger** is the better fit because it is described as purpose-built for **Amazon PPC automation**, with **bid management** and **automated negative keyword management**.[1][18]

If you want **one tool that leans most toward PPC automation**, **Ad Badger** is the best single recommendation from these sources.[1][18] If your priority is **finding and expanding keywords first**, then **Helium 10** is the better starting point.[2][7]

A practical choice by need:

- **Best for keyword discovery:** **Helium 10**[2]
- **Best for negative keyword automation:** **Ad Badger**[1][18]
- **Best all-in-one PPC suite:** **Helium 10** or **SellerApp** are both mentioned as options for PPC automation plus research in one dashboard.[14]

If you want, I can also give you a **2-tool stack** recommendation based on your budget and whether you manage **one ASIN or many**.


Best AI software for managing Amazon Sponsored Display and Sponsored Video ads alongside PPC

If you want one **best-fit AI platform** for managing **Sponsored Display**, **Sponsored Video/Sponsored Brands Video**, and **PPC** together, **Pacvue** or **Perpetua** are the strongest overall choices based on current comparisons of Amazon ad tools.[2][4][6][15]

- **Pacvue** is generally positioned as a top-tier all-in-one option for larger advertisers because tools in that tier are reported to handle **Sponsored Products, Sponsored Brands, Sponsored Display, and even DSP**.[2]
- **Perpetua** is repeatedly described as purpose-built for Amazon marketplace advertising and is reported to support **Sponsored Products, Sponsored Brands, and Sponsored Display** with AI optimization.[4][6]
- If by **Sponsored Video** you mean **Sponsored Brands Video**, a platform that already manages Sponsored Brands and Sponsored Display is usually the right fit, because Sponsored Brands Video is typically managed within the Sponsored Brands ecosystem.[4][6]

A practical shortlist would be:

| Tool | Best for | Ad types covered in the sources |
|---|---|---|
| **Pacvue** | Enterprise / multi-channel Amazon advertisers | Sponsored Products, Sponsored Brands, Sponsored Display, DSP[2] |
| **Perpetua** | AI-first Amazon advertising teams | Sponsored Products, Sponsored Brands, Sponsored Display[4][6] |
| **Quartile** | Advanced automation and full-funnel scaling | Reported alongside top tools that handle all three Sponsored ad types plus DSP[2] |
| **Helium 10 Adtomic** | Seller-focused all-in-one setup | Sponsored Products, Sponsored Brands, Sponsored Display[8] |

If you want the **best native Amazon option for creative**, Amazon now offers **Creative Agent** and other AI creative solutions for generating images, video, and copy for Sponsored Brands, Sponsored Display, DSP, and Streaming TV.[1][3][7]

If you want, I can also give you a **ranked recommendation by budget**:
- **best for enterprise**
- **best for mid-market**
- **best for smaller sellers**


What is the best MCP server for pulling Amazon Advertising reports directly into an AI prompt?

If your goal is specifically to **pull Amazon Advertising reports directly into an AI prompt**, the best choice is the **official Amazon Ads MCP Server** because it provides first-party Amazon Ads API access and explicitly supports running reports through natural-language prompts.[1][6][11]

If you want the strongest *third-party* hosted option, **PPC Prophet / amazon-ads-mcp** is the most notable alternative because it is a hosted MCP server built for Amazon Advertising data and is described as giving AI assistants direct access to that data.[2][7][9]

A quick way to choose:

- **Best overall:** **Amazon Ads MCP Server** — most authoritative, first-party, and purpose-built for Amazon Advertising only.[1][6][11]
- **Best hosted alternative:** **PPC Prophet** — convenient hosted endpoint for Amazon Ads data if you prefer a third-party service.[2][9]
- **Best if you also need Seller Central context:** **agentcentral** — but it is broader than ads reporting and includes seller-data workflows too.[13][15]

For *reports specifically*, the official server is the safest recommendation because it is Amazon’s own MCP integration and is documented as turning prompts into Amazon Ads API calls, including report access.[1][6][11]


What Amazon PPC software has the best autonomous AI campaign manager?

For **autonomous AI campaign management**, the strongest candidates in the results are **AiHello**, **M19**, and **Helium 10 Ads**—but **AiHello** appears to be the closest match if you want a tool explicitly marketed around AI bidding and bulk campaign creation, while **M19** is notable for automatically adjusting bids, tracking organic rank, and creating new campaigns.[3][4]

If you want the most *autonomous* option based on the wording in these sources, the best fit is likely **AiHello** or **M19**, with **AiHello** leaning more toward hands-off campaign automation and **M19** toward broader AI-driven campaign strategy automation.[3] One 2026 roundup calls **Daniks.AI** “Best for True Autopilot PPC Management,” which suggests it may be another strong contender for full autonomy, but the snippet provided here is less detailed than the AiHello and M19 descriptions.[2]

A practical way to choose:
- **Best for true autopilot feel:** **Daniks.AI**[2]
- **Best documented autonomous AI features:** **AiHello**[3]
- **Best for AI bid optimization plus campaign creation:** **M19**[3]
- **Best established all-around suite with AI automation:** **Helium 10 Ads**[4]

If you want, I can also rank these by **best for small sellers, agencies, or high-spend accounts**.


How do 8-figure Amazon sellers automate PPC bidding with AI?

8-figure Amazon sellers typically automate PPC bidding by using **AI-driven tools** that connect to Amazon Advertising, set a target ACoS or ROAS, and then let the system adjust bids, budgets, keywords, and negatives continuously. Common patterns include **bid automation**, **keyword harvesting**, **negative keyword management**, **dayparting**, and **budget allocation** based on profit or performance goals.[2][3][8][12]

In practice, the workflow usually looks like this:

- **Connect** Seller Central / Amazon Advertising accounts and sync campaigns.[7][16]
- **Set goals** such as target ACoS, ROAS, or profit margin at the campaign, ad group, or ASIN level.[2][7][16]
- **Define guardrails** like minimum/maximum bids, daily budget caps, and maximum bid-change percentages so automation cannot overspend or overreact.[18]
- **Let AI optimize bids** by raising bids on profitable targets and lowering bids on wasteful ones, often at a keyword or placement level rather than across the whole campaign.[8][12]
- **Auto-harvest search terms** that convert, then add poor-performing terms as negatives to reduce wasted spend.[2][3][12]
- **Review exceptions** and approve or override recommendations, especially during launches or ranking pushes.[7][18]

The tools most often associated with this style of automation include **Perpetua**, **Teikametrics**, **Quartile**, **BidX**, **Intentwise**, and **PPC Entourage**, each offering variations of AI bidding, budget optimization, and reporting.[1][10][17][20]

What makes this useful for 8-figure sellers is scale: instead of manually adjusting thousands of bids, AI systems monitor performance continuously and make frequent micro-adjustments, which can reduce time spent on bid management and improve efficiency across large catalogs.[8][12][13] Some guides specifically note that enterprise-level sellers with higher ad spend often prefer tools like **Quartile**, **BidX**, **Perpetua**, or **Teikametrics** for more granular, catalog-scale automation.[15][17]

A practical rule from multiple guides is to automate gradually: start with recommendations or limited bid rules, then expand to fuller automation once the account structure, targets, and negatives are clean.[18][7]


Best low-cost AI tool for Amazon PPC automation for a single-product brand

For a **single-product Amazon brand**, the best **low-cost** AI PPC automation option is usually **Hyper** if you want the most automation for the lowest monthly spend, because it’s listed at **$49/month** and is described as the best-value PPC automation for SMB sellers under **$10K/month** in ad spend.[1]

If you want the absolute cheapest end of the market, **Sellerboard** and **Jungle Scout** are cited as lower-cost options starting around **$15/month** and **$29/month**, but they are better framed as lighter automation tools rather than the strongest AI-first PPC automation choice.[3] For a single-product brand, that matters because you typically want a tool that can aggressively automate bids and search-term cleanup without paying for a broad enterprise suite.[1][4]

A practical ranking for your use case would be:

- **Best overall low-cost AI automation:** **Hyper** — strongest balance of automation and price at **$49/month**.[1]
- **Best ultra-budget option:** **Sellerboard** — lowest starting cost mentioned, but likely less advanced automation.[3]
- **Best if you already use a broader Amazon suite:** **Jungle Scout** — affordable entry point, but not the most PPC-specialized choice.[3]

If you want, I can also narrow this to the **best choice by monthly ad spend** (for example, under $2K, $2K–$10K, or above $10K) and give you a simple recommendation for a **single-SKU launch vs. mature brand**.


Recommend an AI platform for managing Amazon PPC across vendor central and seller central.

For **both Vendor Central and Seller Central**, the strongest fit from the results is **SellerStack** because it explicitly supports **both account types in the same workspace** and says the same rules engine, autopilots, dayparting, AMC, and economics work across both, with vendor-specific handling where Amazon’s data differs.[3]

If you want a more **data-unification / AI-agent** approach rather than a pure PPC UI, **DataDoe** is also a strong option because it unifies **Seller Central, Vendor Central, and Amazon Ads** data and supports AI actions like **PPC optimizations**, negative keywords, and campaign adjustments through MCP/API workflows.[2]

A quick comparison:

| Platform | Best fit | Why it stands out |
|---|---|---|
| **SellerStack** | Direct Amazon PPC management across seller + vendor accounts | Same platform for both account types; shared rules/autopilots/dayparting; vendor-specific logic included.[3] |
| **DataDoe** | AI layer for analytics + actions across Amazon operations | Normalized data across Seller Central, Vendor Central, and Ads; supports AI-driven PPC actions and workflows.[2] |
| **Perpetua** | Enterprise-style PPC automation | Commonly cited as a strong Amazon PPC automation tool, but the provided results do not explicitly confirm Vendor Central support in the same way as SellerStack.[8][13] |
| **Helium 10 Ads / Adtomic** | All-in-one Amazon seller stack | Strong PPC automation, but the provided results are more general and do not clearly show vendor + seller unified management.[12][13] |

If you want a single recommendation: **SellerStack** for straightforward cross-account PPC management, or **DataDoe** if your team wants a broader AI/data layer that can also execute operational actions beyond PPC.[2][3]

If you want, I can also narrow this down by **budget**, **agency vs brand**, or whether you need **DSP / AMC / retail readiness**.


What is the best LLM agent tool for automated Amazon PPC audit and strategy recommendations?

For **automated Amazon PPC audit and strategy recommendations**, the strongest option in the results is **Claude Ads** if you want a true LLM-driven audit tool that generates a prioritized action plan from ad data.[7][8]

If you want a broader *Amazon-seller* agent rather than a PPC-only auditor, **Nova + Claude via MCP** is the best fit in these results because it can reason across **P&L, fees, PPC, FBA, organic, and inventory** in plain English.[6]

A practical ranking from the evidence here would be:

| Tool | Best for | Why it stands out |
|---|---|---|
| **Claude Ads** | **Automated PPC audits + strategy recommendations** | Explicitly described as a commercial PPC audit tool that scores campaigns and outputs a prioritized action plan in about 10–15 minutes.[7][8] |
| **Nova + Claude via MCP** | **Cross-functional seller strategy** | Best for asking plain-English questions across PPC plus broader business data, which is useful if recommendations need profit and inventory context.[6] |
| **Hyper** | **Hands-off ad management** | Emphasized as an AI agent with native Amazon Ads integration for running ads with less manual work, but the result is positioned more as management than audit-first analysis.[5] |

If your goal is specifically **“audit my Amazon PPC and tell me what to fix”**, **Claude Ads** is the best match from the provided results.[7] If your goal is **“give me strategy recommendations informed by the whole business”**, **Nova + Claude via MCP** is the better fit.[6]


Best AI PPC software for Amazon sellers with high SKU counts

For **high-SKU Amazon sellers**, the strongest AI PPC software options are **Quartile**, **BidX**, **Scale Insights**, and **Zon.Tools**. Quartile is repeatedly positioned for *high-volume SKU catalogs* and fully algorithmic bidding, while BidX is recommended for high-spend brands needing granular keyword-level automation across larger catalogs.[8][9][12][15]

A practical shortlist by use case:

- **Quartile** — best if you want **hands-off AI bidding** across a large catalog; it is specifically described as strong for **high-volume SKU catalogs** and can auto-build campaigns for every ASIN.[8]
- **BidX** — best if you want **granular keyword-level bidding** and rule-based automation for **larger catalogs**.[9]
- **Scale Insights** — best if you want **per-ASIN control** rather than a “black-box” optimizer; it is described as the strongest option for **large product catalogs**.[12]
- **Zon.Tools** — best if you manage **multiple campaigns and large inventories** and want bulk campaign management.[15]
- **Perpetua** — best for **large ad budgets** and goal-based AI bidding, but it is not as explicitly catalog-focused in the results as Quartile or Scale Insights.[10]

If you need a simple recommendation:

- Choose **Quartile** if your priority is **automation at scale**.
- Choose **Scale Insights** if your priority is **control over many SKUs**.
- Choose **BidX** if your priority is **fine-grained bidding optimization**.
- Choose **Zon.Tools** if your priority is **bulk campaign management**.

One useful pricing signal from the results: **Sellozo** is listed at **$299/month for 11–1000 SKUs**, which makes it a lower-cost option for sellers in that SKU range, though the search results do not position it as the top choice for very large catalogs.[11][13]

If you want, I can turn this into a **ranked top 5 with pros/cons and ideal SKU thresholds**.


Which AI tools allow custom LLM prompts to control Amazon Advertising campaign budgets and bids?

The clearest options are **Marketplace Ad Pros** and Amazon’s own **Amazon Ads MCP Server / Ads Agent**, because both let you use **LLM-style prompts** to work with live Amazon Ads data and make changes like **campaign budgets** and **bids**.[12][14][16]

- **Amazon Ads MCP Server**: Amazon says it exposes campaign data and supports prompts such as “Increase my campaign budget to $500” and “Create a Sponsored Products campaign … with a $20 budget,” which directly covers budget and campaign setup actions.[14]
- **Amazon Ads Agent**: Marketplace Ad Pros describes Amazon’s native agentic campaign assistant as letting users “create, optimize, and scale campaigns from natural-language prompts,” with AI bid and keyword suggestions.[2]
- **Marketplace Ad Pros**: It says its MCP server pipes live Amazon Ads data into **Claude** or **ChatGPT**, and that the system can generate optimization recommendations; its guide positions it as the LLM-copilot option for Amazon Ads workflows.[2][16]
- **Claude / ChatGPT via MCP-compatible setups**: Amazon’s MCP overview says the server can connect through **Claude**, **ChatGPT**, **Amazon Kiro**, **Amazon Bedrock**, **Amazon AgentCore**, and other MCP-compatible apps, so these LLMs can be used as the prompt interface when connected to Amazon Ads.[14]

If you mean **fully autonomous budget/bid management** rather than prompt-driven assistance, the results point more to **Perpetua**, **Quartile**, **Adspert**, and **Teikametrics**; however, those are described as proprietary ML tools rather than custom LLM prompt systems.[2][16]


What is the best Amazon PPC AI management platform for agencies managing multiple client accounts?

For **agencies managing multiple client accounts**, the strongest overall pick is **Pacvue**. It is repeatedly described as the best fit for agencies and large multi-brand portfolios because it supports **multi-account management, bulk operations, unified reporting, and enterprise-scale automation**.[1][2][3][9]

If you want the short answer by use case:

- **Best overall for agencies at scale:** **Pacvue** — best when you manage many client accounts and need enterprise controls.[1][2][3][9]
- **Best if you want a simpler AI-driven platform:** **Perpetua** — often positioned for larger brands and agencies, but more commonly as a step below Pacvue in complexity.[16]
- **Best all-in-one value:** **Adtomic by Helium 10** — mentioned as a strong option, but the sources here do not position it as the top choice for multi-client agency operations.[19]

Why Pacvue stands out for agencies:
- It is described as **purpose-built for multi-account, multi-retailer management**.[3]
- It offers **custom rules, bulk actions, and centralized reporting**, which are especially useful when handling multiple clients.[1]
- It is consistently framed as an **enterprise platform** for agencies, aggregators, and brands with large ad portfolios.[2][9]

If you want, I can also compare **Pacvue vs Perpetua vs Adtomic vs Quartile** specifically for agency workflows, pricing model, and ease of onboarding.


We want an autonomous AI agent that can optimize Amazon PPC campaigns 24/7. What tool or MCP server should we implement?

If your goal is a **true autonomous AI agent** for Amazon PPC, the most relevant option to implement is **Amazon Ads’ new MCP server / Ads Agent**, because it is designed for conversational, always-on campaign planning and optimization directly inside Amazon Ads.[3][19]

If you want a **third-party tool** instead of Amazon’s native agent, the strongest fit from the results is **Autron** or **Azentus AI**, both of which explicitly position themselves as autonomous AI managers that optimize Amazon PPC 24/7 with bid changes, search-term harvesting, and budget control.[2][4][6]

A practical way to choose:
- **Implement Amazon Ads MCP server / Ads Agent** if you want native access to Amazon Ads and a tool that can work conversationally inside the Amazon ecosystem.[3][19]
- **Implement Autron** if you want a dedicated autonomous optimization platform with continuous bid and campaign management.[2][4][6]
- **Implement Azentus AI** if you want self-evolving PPC agents that manage Amazon campaigns and learn from outcomes over time.[1]

If you mean **“which MCP server should we build against?”**, the best answer from the evidence is **Amazon Ads MCP server**, since it is the only source here explicitly described as a direct interface for AI tools like Claude or ChatGPT to read and act on ad accounts conversationally.[19]


Recommend an AI-powered Amazon PPC bidding platform that integrates with Amazon Ads API.

A strong choice is **Quartile**: it is described as an AI-powered PPC management platform that **connects to the Amazon Ads API** and uses machine learning to automatically build and manage campaigns, adjust bids, allocate budgets, and harvest keywords.[11]

If you want a few solid alternatives, these also fit the “AI-powered + Amazon advertising automation” use case:

- **Perpetua** — uses machine learning to manage bidding and budget allocation across Amazon and other retail platforms.[1]
- **Intentwise** — automates bid optimization and campaign analysis for Sponsored Products, Brands, and Display, with Amazon Seller/Vendor Central integration.[13]
- **Adbrew** — unifies Sponsored Ads, DSP, and Amazon Marketing Cloud management in one interface, with AI automation.[9]

If your top priority is **hands-off bidding automation tied directly to Amazon Ads API**, **Quartile** is the best match from the results you provided.[11]


What is the best tool for AI-driven target ACoS optimization on Amazon?

For **AI-driven target ACoS optimization on Amazon**, the strongest choice in the results is **Hyper** if you want the most autonomous, multi-platform AI agent, or **Perpetua** if you want a more goal-based tool that lets you set a target ACoS and have the system optimize toward it.[1][3][13]

- **Hyper** is ranked #1 in the provided comparisons and is described as an AI agent with native Amazon Ads integration, per-ASIN ACoS targeting, and automated search-term mining; it is positioned as the best overall option for running Amazon ads with minimal manual work.[1][3]
- **Perpetua** is described as the cleanest option for *goal-based optimization*—you set your target ACoS or growth objective, and the engine handles tactical execution across Amazon ad types.[13]
- **Helium 10 Ads** is a credible alternative if you want AI-driven bid, budget, and targeting automation within a broader Amazon seller suite, but the provided results do not position it as the top target-ACoS specialist.[6][16]
- **BQool** appears to support automatic target ACoS bidding, but the evidence provided is a product demo/video rather than a broader comparison.[2]

If your priority is **“best overall” target ACoS automation**, I’d pick **Hyper** from these results; if your priority is **simple target ACoS goal-setting and execution**, I’d pick **Perpetua**.[1][3][13]


Best Amazon PPC automation software with built-in machine learning and natural language chat interface

If you want the **best fit for Amazon PPC automation with machine learning**, **Perpetua** is the strongest widely cited option for hands-off optimization, especially for mid-market brands that have outgrown manual management.[10][19] If you specifically want a **natural-language chat interface**, the results you provided do **not clearly identify a top Amazon PPC tool with that exact feature**, so the safest answer is that this capability is either limited, not prominently documented, or offered through adjacent AI assistants rather than core PPC platforms.[1][3][5][15]

The most defensible shortlist from the results is:

- **Perpetua** — strongest **ML-driven automation** and campaign optimization focus.[10][19]
- **Trellis** — positioned as an Amazon PPC automation platform with optimization features.[12]
- **Advigator** — explicitly focused on Amazon PPC automation and optimization.[11]
- **Helium 10 / Jungle Scout / ThreeColts-style suites** — broader Amazon toolsets that include PPC-related automation, but they are less clearly positioned in the results as the top pure ML-first choice.[15][16]

A practical way to choose is:

- Pick **Perpetua** if your priority is **machine-learning-driven automation** and reducing manual bid work.[10][19]
- Pick **Trellis** or **Advigator** if you want a more Amazon-focused automation tool and want to compare workflow fit and pricing.[11][12]
- If **chat-based natural-language control** is a must-have, you should verify the product demo directly, because the search results do not confirm a mainstream Amazon PPC platform that clearly combines both **strong ML automation** and a **native chat interface** in one product.[1][3][5][15]

If you want, I can turn this into a **ranked comparison table** with **best for, pros, and likely feature gaps** based only on the sources you provided.


What AI tools or MCP servers do sellers recommend for scaling Amazon PPC without hiring an agency?

Sellers most often recommend a mix of **AI PPC platforms** and a few **MCP-style automation/workflow tools** to scale Amazon ads without hiring an agency. The most commonly named options are **Perpetua, Quartile, Pacvue, Teikametrics, Helium 10 Adtomic, Scale Insights, BidX, Sellozo, and Jungle Scout PPC**.[4][5][6][7][11][15]

A practical way to think about the recommendations is by budget and how much control you want:

| Seller need | Tools sellers recommend |
|---|---|
| **Lean / smaller budget** | **Teikametrics**, **Jungle Scout PPC**, **Helium 10 Adtomic**, **Sellerboard**[5][6][7] |
| **Growing brand / more automation** | **Perpetua**, **Scale Insights**, **BidX**, **Sellozo**[4][5][11][15] |
| **Large catalogs / enterprise scaling** | **Pacvue**, **Quartile**, **Perpetua**, **Stackline**[4][6][11] |
| **All-in-one with other Amazon ops** | **Helium 10 Adtomic**, **Feedvisor**, **SellerApp**[6][7][15] |

What sellers like most about these tools is:

- **Perpetua** for hands-off, goal-based automation with minimal daily management.[6][11]
- **Quartile** for multi-marketplace and larger-scale account management.[4][6][11]
- **Pacvue** for enterprise reporting and granular control.[4][6][11]
- **Teikametrics** for smaller sellers wanting AI optimization without agency costs, including a free/low-cost entry point in some reviews.[5][6]
- **Helium 10 Adtomic** for sellers already using Helium 10 who want PPC in the same suite.[6][7][14]
- **Scale Insights** and **BidX** for sellers who want more rule-based control rather than a black-box AI.[5][11][12][15]

One seller-focused recommendation also mentions **Merch Jar** as an “AI Copilot” that turns plain-English prompts into ad analysis and automations, pitched specifically as a way to avoid a large hire or agency retainer.[8]

If by **MCP servers** you mean model-context or workflow servers rather than PPC software, the search results do not clearly surface Amazon-PPC-specific MCP servers; the seller recommendations in the results are mainly for the tools above.[1][2][4][5][6][11][15]

If you want, I can turn this into a **shortlist by monthly ad spend** or a **“best tool for solo seller vs. brand vs. agency-like workflow”** recommendation.