Getting Started with GemPages MCP

Over the past several years, AI has changed how ecommerce teams research markets, develop campaign ideas, and produce pages. Tasks that once required several days can now be completed in hours.

Yet faster output has not removed the operational gaps surrounding it.

Research often happens in one conversation. Product data sits in Shopify. Customer reviews and competitor insights are spread across several sources. Finished articles may still need to be translated into a visual structure. Completed HTML may remain in a local folder while the final page still needs to be transferred into the platform where the ecommerce team will manage it.

Teams continue to move information between tools, repeat instructions, reconcile different versions, and involve developers in work that has already been completed elsewhere.

We also found that many AI solutions concentrated on generating more content or assembling pages faster. Speed matters, but it cannot answer three important questions:

• Can the AI work from relevant product and customer context?
• Can content move into a suitable landing page structure without requiring the team to start again?
• Can finished HTML move into the team’s existing ecommerce environment for review and continued management?

These questions shaped the development of GemPages MCP.

GemPages MCP connects compatible AI agents with Shopify and GemPages, giving them access to specialized workflows for researching page content, turning finished articles into HTML, and generating editable GemPages pages from HTML, Image, or URL references.

What Is GemPages MCP?

MCP is a standardized framework that allows an AI agent to connect with external data sources and tools. Instead of only generating text inside a chat window, the agent can access approved information and perform defined actions through the connected platforms.

With GemPages MCP, a compatible AI agent can support tasks such as:

• Accessing relevant Shopify product information
• Researching competitors and customers
• Analyzing reviews, pain points, and objections
• Developing structured content directions
• Reading finished advertorials, listicles, and comparison articles
• Matching content with a suitable GemPages HTML template
• Applying saved brand colors and typography
• Creating ready-to-preview HTML landing pages
• Reading finished HTML files
• Building and validating page sections
• Creating editable pages in GemPages
• Returning a GemPages Editor link

The user still directs the task through natural-language instructions. GemPages MCP gives the AI the tools required to carry out that instruction within an ecommerce context.

Why Landing Page Creation Should Start With Customer Research

Before deciding what the page should say, ecommerce teams need answers to questions such as:

• Who is most likely to need this product?
• What problem are they trying to solve?
• How do they describe that problem?
• Which outcomes matter most to them?
• What alternatives have they already considered?
• What concerns could prevent them from purchasing?
• Which product claims require more explanation or proof?
• How much information do they need before they are ready to act?

When this information is missing, AI can still generate polished copy. However, the message may rely on broad assumptions rather than the reasons customers actually consider or reject the product.

Consider a sleep supplement.

A generic page might lead with a promise such as “Sleep better and wake up refreshed.” The claim sounds relevant, but it says little about the specific problem the product addresses or why someone should choose it over another supplement.

Research may reveal several distinct customer concerns:

• Some customers fall asleep easily but wake repeatedly during the night.
• Some have tried other supplements but disliked the next-day grogginess.
• Some question whether another sleep product will work after previous failures.
• Some want support without becoming dependent on a nightly sleep aid.

Each finding points to a different content direction.

The page may need to address interrupted sleep rather than difficulty falling asleep. It may need to explain the morning experience, compare the product with alternatives, or respond to skepticism earlier in the customer journey.

These insights can affect:

• The main message
• The order of product benefits
• The angle used to introduce the problem
• The proof included on the page
• The alternatives used in a comparison
• The objections covered in FAQs
• The information placed before a CTA

Faster content creation is useful. It becomes more valuable when the content begins with a clearer view of the customer and market.

Three Core Capabilities Available Through GemPages MCP

GemPages MCP launches with three core capabilities that teams can use based on the work they need to complete.

1. Content Research: Turn Product and Market Data Into Content Direction

Useful page insights are often spread across product information, competitor pages, customer reviews, discussion threads, and the language buyers use to describe their experiences.

The Content Research workflow helps the AI collect and analyze these inputs before developing content.

Depending on the product and available sources, the research may examine:

• Shopify product information
• Product features and differentiators
• Competitor positioning
• Competitor value propositions
• Recurring customer review themes
• Common frustrations and pain points
• Desired outcomes
• Purchase motivations
• Questions customers ask before buying
• Objections within the category
• Language customers use to describe their problems
• Claims and content angles used by competing products

The goal is not to collect a large amount of unrelated information. The workflow looks for patterns that can shape how the product is presented.

For example:

• A repeated customer concern may need a direct response in the content.
• A product benefit valued by buyers may deserve greater priority.
• A gap in competitor messaging may provide a clearer point of difference.
• A common failed alternative may support a comparison angle.
• Customer language may help the message sound closer to the way buyers describe the problem themselves.

The findings can support several content formats, including advertorials, listicles, and comparison articles.

Research does more than improve individual headlines. It helps the team decide:

• Which customer problem should lead the narrative
• Which benefits deserve the most attention
• Which objections must be answered
• What proof the audience may expect
• How the product should be positioned against alternatives
• Which content angle best fits the available evidence

The result is a stronger starting point for content development than a generic prompt based only on the product name or description.

Ecommerce teams may already have a useful page reference without having it in one specific format.

The source might be a finished HTML page, a screenshot or visual reference, or an existing webpage that is already live.

The expanded AI page generation experience now supports three input types:

• HTML: Import an existing HTML page as the source.
• Image: Use an image as the visual reference for page generation.
• URL: Provide an existing webpage URL as the source.

Generate From HTML

Use HTML when the page has already been written, designed, and coded.

The source may come from a developer, agency, AI coding tool, Figma-to-HTML workflow, or another source that produces completed HTML.

For HTML-based generation, the AI can read the source, interpret the page structure, build the corresponding sections in GemPages, and validate the generated result.

For guidance on using GemPages MCP for turning HTML to GemPages editable page, please refer to: How to Turn HTML Into an Editable GemPages Page With GemPages MCP.

Generate From an Image

Use an image when the main reference is visual rather than code.

For example, you may provide a screenshot, mockup, campaign design, or another visual reference.

For guidance on how to generate editable design from image, please refer to: How to Generate Editable Design From Image With GemPages MCP

Generate From a URL

If the source already exists online, provide the webpage URL directly.

Only use webpages and assets that you own or have permission to reuse.

Start With the Capability That Matches What You Have

Ecommerce teams rarely begin from the same point. One may have a product but no clear campaign direction. Another may already have a completed HTML page.

GemPages MCP allows each team to start with the input available to them.

Start With a Shopify Product

Use the Content Research workflow when you have a product but need a clearer understanding of:

• The target customer
• Customer pain points
• Purchase motivations
• Common objections
• Competitor messaging
• Potential content angles

The product and market findings can then guide the content your team develops.

This starting point can be useful for:

• New product launches
• Campaign planning
• Products entering a crowded category
• Offers with an unfamiliar mechanism
• Pages that need stronger customer language
• Existing content that feels too broad or generic

Start With a Finished Article

Use the Content to HTML workflow when the content has already been written and approved but still needs to become a landing page.

Provide a completed advertorial, listicle, or comparison article. GemPages MCP will identify the content type, match it with a suitable template, apply the available brand style, and create landing-page.html.

This starting point can be useful when:

• Content Research has already produced the article
• Your internal team has completed the copy
• An agency or freelancer has delivered the content
• Another AI tool has generated an approved article
• Several articles need to become visually distinct landing pages
• You want a structured starting point instead of asking AI to design freely

Review the HTML before sending it to the next workflow. Check the content order, brand styling, calls to action, and any bracketed placeholders.

Start With Finished HTML

Use HTML as the source for AI Page Generation when the page has already been written, designed, and coded.

Provide the finished HTML file and ask the AI to build it as an editable GemPages page.

This starting point can be useful when:

• An agency has delivered the final HTML
• A developer has completed the page
• An AI coding tool has generated an approved design
• A Figma design has already been implemented as HTML
• Several HTML page variations need to be brought into GemPages
• The marketing team needs to manage the page after development

These workflows solve different parts of the production process and do not depend on one another. Use the one that matches the work your team needs to complete.

Start With an Image

Use an image when your main reference is visual.

This can be useful when:

• A designer has provided a mockup
• You have a screenshot of an existing page
• Your team wants to recreate a visual direction
• The page concept exists visually but has not yet been coded

Start With a URL

Use a URL when the reference page already exists online.

This can be useful when:

• Your team has an existing landing page
• You want to bring a campaign page into GemPages
• You want to use an existing advertorial as the source
• The webpage itself is the clearest representation of the desired page

Example Use Cases

1. Research a Product Before Developing Campaign Content

A marketer preparing a campaign can ask the AI to use GemCommerce MCP to research a Shopify product.

The workflow can examine the product, competitors, customer feedback, pain points, objections, and potential angles. The resulting report gives the team a clearer basis for developing an advertorial, listicle, comparison article, or landing page brief.

2. Turn a Finished Article Into an HTML Landing Page

A content team may already have an approved advertorial, listicle, or comparison article but no page design.

The team can ask GemCommerce MCP to match the article with a suitable template and create a complete landing-page.html file.

If the store’s brand style has been saved, the workflow can reuse the same colors and typography. If required facts are missing, the workflow adds bracketed placeholders instead of inventing information.

The team can review the HTML in a browser, request revisions through the AI conversation, and use the approved HTML as the source for AI page generation.

3. Bring an AI-Coded Page Into GemPages

A marketer or developer may use Claude Code to create a finished HTML landing page.

Instead of leaving the file in the coding environment, the team can ask GemCommerce MCP to build it as a GemPages page. Once complete, the workflow returns the preview and editor URLs.

The team can review the result, make final changes, and publish it manually.

4. Transfer an Agency-Delivered HTML Page

An agency may deliver a page as HTML while the client’s ecommerce team manages campaigns in GemPages.

The HTML to GemPages workflow can handle the transfer. The client receives an editable page rather than a code file that requires continued agency or developer support for every change.

5. Run the Full Research-to-Page Workflow

A team launching a new product can combine all three workflows:

• Use Content Research to examine the product, competitors, customer feedback, pain points, objections, and content opportunities.
• Develop or approve an advertorial, listicle, or comparison article from those findings.
• Use Content to HTML to match the article with a suitable template and create landing-page.html.
• Use the generated HTML as the source for AI Page Generation.
• Complete the final review and publish manually.

6. Generate a Page From a Visual Reference

A creative team may have a screenshot or mockup that communicates the intended page design but does not yet have HTML.

The image can be provided directly as the reference for AI page generation.

For example:

Use GemCommerce MCP. Use the attached image as the visual reference and create an editable page in GemPages.

7. Generate a Page From an Existing URL

An ecommerce team may already have a campaign page available online.

Instead of downloading and preparing the page as HTML, the team can provide its URL directly.

For example:

Use GemCommerce MCP. Create an editable page based on this URL: [URL].

Human Review Remains Necessary

GemPages MCP can reduce repetitive research and production work, but every output should be reviewed before it informs a campaign or becomes customer-facing.

Review Content Research

Before using the findings, check:

• Whether the sources are relevant
• Whether customer statements are represented accurately
• Whether conclusions are supported by the available evidence
• Whether competitor information is current
• Whether the suggested claims can be substantiated
• Whether the recommended angle fits the brand and product

Research may reveal a useful pattern, but the team still needs to decide whether that pattern applies to the campaign.

Review Content to HTML Outputs

Before using landing-page.html as the source for AI page generation, check:

• Whether the selected structure fits the article
• Whether the original message and narrative remain clear
• Whether any important source content has been omitted
• Whether headings and calls to action are appropriate
• Whether colors and typography match the brand
• Whether claims remain accurate
• Whether all bracketed placeholders have been resolved
• Whether required images and supporting assets are available

The selected template provides a structured starting point. It does not guarantee the performance of the page. Conversion results still depend on factors such as the product, offer, traffic, content quality, audience, and final implementation.

Review Converted Pages

GemPages MCP creates an editable page for further review and refinement. Make any necessary changes in GemPages and publish only after the page has passed your team’s final checks.

GemPages MCP can support the production process, but accuracy, compliance, brand judgment, and final approval remain with your team.

GemPages MCP Is Currently in Beta

The available workflows, supported elements, setup process, and related guides may change as the product develops. New capabilities and fixes will be released based on technical progress and feedback from early users.

Access is being introduced gradually so that we can work closely with beta users, identify issues, and improve the experience before broader availability.

During the beta, users may encounter limitations with certain research sources, HTML structures, page formats, or components. The level of editability may also vary depending on the HTML supplied and the elements currently supported.

Feedback from early users will play an important role in shaping future development.

To learn how to connect to GemPages MCP, please refer to this article.