Claude and ChatGPT’s New Upgrade Automates Content Creation From Research to AI Video

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Claude and ChatGPT just got a seriously powerful upgrade for anyone creating social media content, ecommerce ads, or AI videos. By connecting TopView MCP to your existing AI assistant, you can move from product research to a finished creative campaign without juggling five tabs, five subscriptions, spreadsheets, image generators, and editing tools.

This is the breakthrough: your AI assistant can research a product, identify audiences and trends, build a campaign strategy, generate image and video assets, and send everything into a single editable workspace. Instead of getting a wall of generic ideas that still require hours of work, it can make actual creative decisions and produce assets you can refine.

For ecommerce sellers, brands, agencies, marketers, and AI creators who constantly need fresh creative, this can replace a major chunk of the usual content stack.

Why AI Content Creation Has Been So Fragmented

The usual AI content workflow is messy. You might research TikTok trends in one place, check Amazon listings somewhere else, organize product insights in a spreadsheet, write hooks in a document, generate visuals in another tool, then bring everything into an editor to try to make one finished video.

That process creates three major problems:

  • Context gets lost. Each new tool needs to be reintroduced to the product, audience, campaign goal, and brand direction.
  • Strategy and production become disconnected. Great research does not automatically become great ads or social content.
  • Creative iteration takes too long. Updating product visuals, testing hooks, or generating variations can mean restarting the process across multiple tools.

TopView MCP is designed to bring those moving parts into one connected workflow inside Claude or ChatGPT. The point is not just to create content faster. It is to connect research, strategy, generation, and editing so your creative work has continuity from beginning to end.

What Is TopView MCP?

TopView MCP is a connector that gives Claude and ChatGPT access to TopView’s research, campaign, image-generation, video-generation, and workspace tools. MCP stands for Model Context Protocol, which allows an AI assistant to connect with external tools and act on information rather than only discussing it.

Once connected, TopView MCP can pull useful signals from platforms including:

  • TikTok
  • YouTube
  • Amazon
  • Shopee

That means you can use one chat to explore who the audience is, what they care about, which opportunities are emerging, what is trending, and how competitors are winning. From there, you can turn those findings into a campaign plan and the creative assets needed to execute it.

TopView MCP can also bring several AI media models and tools under one roof, including image and video generation options such as Kling, GPT Image, Seedream, Veo 3.1, and others available in the workspace. The practical advantage is simple: you do not have to jump between separate platforms every time you need a new visual or a new ad variation.

Get started with TopView MCP and connect it to the AI assistant you already use.

How to Connect TopView MCP to ChatGPT

Setting this up in ChatGPT is incredibly straightforward. You need the TopView connector URL from the TopView MCP setup page, then add it as a custom connector inside ChatGPT.

  1. Open the TopView MCP setup page and copy the ChatGPT connector URL.
  2. Open ChatGPT and go to the Plugins area.
  3. Open Connectors or Custom Connectors.
  4. Click the plus icon to add a new custom connector.
  5. Name the connector “TopView.” A description is optional.
  6. Paste the TopView URL and select Create.
  7. Sign in to TopView if prompted, then authorize the connection.

Once authorization is complete, TopView appears as an available connected tool in ChatGPT. A useful first prompt is:

Is the TopView MCP connected? If it is, give me a list of things we can now do with it.

This confirms that everything is working and shows the capabilities available through the connector. ChatGPT can use its existing context and memory of how you work, which makes this especially useful if it already understands your business, creative style, products, or content goals.

How to Connect TopView MCP to Claude

The Claude setup follows essentially the same process. Copy the Claude-specific connector URL from TopView, then add it as a custom connector in Claude.

  1. Copy the Claude connector URL from the TopView MCP page.
  2. Open Claude and select Customize.
  3. Go to Connectors.
  4. Select Add Custom Connector.
  5. Name it “TopView,” paste the provided URL, and choose Add.
  6. Select Connect and complete the authorization process.

After authentication, ask Claude the same confirmation question:

Is the TopView MCP connected? If it is, please give me a list of things that we can do with it.

In the demonstrated setup, Claude confirmed the connection and loaded 31 different tools. The exact tools and model options may evolve, but the key workflow remains the same: research, campaign planning, creative generation, and project editing can all happen through a connected AI assistant.

Use Case 1: Build a Complete Product Campaign From an Amazon Listing

This is where things get wild. Imagine you have an Amazon product listing for baseball lifestyle shorts and need a full campaign around it. Normally, that means researching the listing, identifying the audience, developing positioning, planning distribution, writing creative briefs, and figuring out which creators to work with.

With TopView MCP, you can provide the Amazon listing link and ask for the full campaign in one prompt:

Using TopView's MCP, launch a campaign for this project. Build the audience insight, message map, campaign plan, and content brief: [Amazon product link]

The connector can pull product details from the Amazon listing, analyze product positioning, and use that information to develop four core deliverables.

1. Audience Insights

The first output identifies relevant audience segments, likely purchase moments, tensions or objections, and the reaction you want the product to create. This is more useful than simply saying “target baseball fans.” It pushes toward the why behind the purchase.

For the baseball lifestyle shorts example, the campaign direction can explore practical and emotional motivations: style that gets reactions, comfort built for real life, identity beyond the field, and a gift that will actually get used.

2. A Message Map

A message map creates the core pillars that should shape your ads, product content, creator briefs, and landing-page messaging. The campaign can organize each pillar around:

  • The main positioning angle
  • Emotional benefits
  • Functional benefits
  • Likely customer objections
  • How to handle those objections in creative

This is the difference between generating random content and developing a repeatable message system. You now have a reason for each video, image, hook, and ad variation.

3. A Campaign Plan

The campaign plan can lay out primary goals, secondary goals, campaign duration, creative strategy, suggested channel mix, experiments to run, and metrics to track. It can account for paid and organic efforts across channels such as Meta ads, TikTok, Instagram Reels, YouTube Shorts, Amazon advertising, and more.

It can also recommend creator profiles for partnerships, propose A/B tests, and flag landing-page or Amazon-listing priorities. This is why the workflow feels closer to agency-level campaign planning than a simple AI brainstorming session.

4. A Content Brief

Finally, the system creates a practical creative brief. It can define the ideal video length, tone, essential shots, messaging focus, and production requirements. That gives you a clear blueprint for content production, except you can immediately move into generating the assets instead of handing the brief to another team or tool.

In the example, this complete planning process took roughly 25 seconds. The real value is not only speed. It is that the system creates a connected strategy based on product intelligence instead of delivering disconnected suggestions.

Use Case 2: Generate AI Images and Videos for the Campaign

Once your plan exists, you can ask TopView MCP to create the actual campaign assets. The prompt can be as direct as:

Using TopView's MCP, please generate the image and video assets for this plan.

From there, it can create an initial asset pack that includes:

  • Product hero images
  • Lifestyle ad images
  • Short-form video concepts
  • Creative designed around the campaign message and audience

This is a big time and money saver because the research and planning context carries forward. The system already knows the audience, the positioning, the creative angles, and the desired campaign direction. You are not starting from scratch every time you open an image or video generator.

Of course, AI output still needs a review. One important lesson from the product example was visual consistency. If the uploaded product reference images vary significantly, generated assets may show inconsistent versions of the product. That is not a reason to abandon the workflow. It means the instructions and reference materials need to be more specific.

Use clear product imagery, define exactly what needs to remain unchanged, and ask for revisions when the output is off. The ability to iterate in the same connected environment is what makes this so useful.

Use Case 3: Push Everything Into TopView Canvas and Edit It

The third piece is what turns isolated AI generations into an actual creative production system. You can push your campaign into TopView Canvas as a project, then see your images, ads, concepts, and generated assets side by side.

For example, a project could be named after the product and campaign, such as “BL101 Pencil Shorts.” Inside the canvas, you can organize your work by campaign phase, week, content category, or platform. Everything remains connected to the context that came from your original ChatGPT or Claude conversation.

TopView Canvas enables you to:

  • Select and upload creative assets
  • Generate new AI images
  • Generate AI videos and audio
  • Edit text and subtitles
  • Upscale visuals
  • Use whiteboards and 3D creative tools
  • Create new variations from an existing asset
  • Extract audio from videos
  • Turn video into a reusable prompt
  • Generate a new video based on an existing creative

If one product image is wrong across several ads, you can ask the agent to swap the shorts or update the product in one go. Instead of manually repairing every asset, you can make one clear change request and generate updated versions.

You can also take an ad you like and generate new hooks, fresh copy, alternate angles, or new creative variations without leaving the workspace. That makes creative testing far easier. A strong concept does not have to remain one ad. It can become a system of variations built around the same proven direction.

The Real Advantage: Context Carries Through the Entire Workflow

The biggest advantage here is not that AI can make an image or write a hook. Plenty of tools can do that. The real advantage is that TopView MCP keeps the full chain of context together:

  1. Research the product and market signals.
  2. Understand the audience and competitive opportunity.
  3. Build the campaign strategy and message map.
  4. Generate creative assets based on that strategy.
  5. Edit, organize, test, and create variations in a shared canvas.

That continuity means the AI does not need to be told the same things over and over again. It already knows the plan because the plan traveled with the project from the chat into the canvas.

If your current process involves five browser tabs, five tools, and constant copy-pasting just to make a single piece of content, this is exactly the type of workflow that changes the game.

Start Building Content Without the Tool Chaos

Content creation should not require bouncing between research platforms, documents, ad libraries, image generators, video tools, and editors just to get one campaign out the door. Connect TopView MCP to Claude or ChatGPT, give it a product link or campaign goal, and use the same chat to move from intelligence to strategy to creative production.

The best part is that you can keep refining. Ask for better product consistency. Create new hooks. Generate additional ads. Update an image. Build a new video variation. Everything happens inside a workflow that already understands what you are trying to accomplish.

Frequently Asked Questions

Can I use TopView MCP with both ChatGPT and Claude?

Yes. TopView provides setup options for both ChatGPT and Claude through custom connectors. The process involves copying the relevant URL, adding it as a custom connector, and authorizing your TopView account.

What can TopView MCP help create?

It can support content research, Amazon product research, audience insights, campaign planning, message maps, content briefs, AI images, AI videos, creator research, workspace management, and creative revisions.

Can TopView MCP generate assets from a product listing?

Yes. You can provide an Amazon product link and ask it to develop campaign deliverables based on the listing, then generate image and video assets that match the strategy.

How do I keep AI product images consistent?

Use clear and consistent product reference images, specify which product details must remain unchanged, and request revisions when needed. Inconsistent source imagery can lead to inconsistent generated results.

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