How to Use Make.com for SEO Product Copy

How to Use Make.com to Create SEO-Ready Product Copy

Using make.com, you can build an automated workflow that turns raw product data into SEO-ready product descriptions and syncs them directly with your e-commerce store. This guide walks you step by step through planning, building, and optimizing that automation.

Why Automate Product Copy with Make.com

Manual product copywriting is slow, inconsistent, and hard to scale. Automation with make.com helps you:

  • Generate consistent, on-brand descriptions for every product.
  • Improve SEO with structured, keyword-aware content.
  • Cut repetitive work for marketers and merchandisers.
  • Keep product information synchronized across channels.

By combining your data source, AI tools, and e-commerce platform, make.com becomes the hub that coordinates the entire product content workflow.

Plan Your Make.com Product Copy Workflow

Before building in make.com, define the core elements of your automation. Clarity at this stage prevents rework later.

Decide Where Product Data Lives

Your workflow needs a reliable source of truth for product information. Common options include:

  • A product information management (PIM) system.
  • Your e-commerce platform (for example, Shopify or WooCommerce).
  • Google Sheets or a database where your team maintains product data.

Make sure product records contain, at minimum, fields such as product name, category, features, and any existing copy you want to reuse.

Define the Output You Want

Next, outline the exact copy elements you expect AI to generate. Typical outputs include:

  • Main product description (short and long versions).
  • Feature bullets and benefits.
  • SEO title and meta description.
  • Category-specific highlights or FAQs.

Capture this structure so you can reference it later when configuring your AI prompt in make.com.

Choose When the Scenario Should Run

Decide how and when the automation should trigger:

  • On creation of a new product.
  • On update of key product fields.
  • On a schedule (for example, regenerate copy weekly for selected products).

This determines what type of trigger module you use inside make.com and how frequently the system will generate or refresh content.

Build the Core Scenario in Make.com

With the plan in place, you can assemble a basic scenario in make.com that pulls product data, sends it to AI, and prepares the output for publishing.

Step 1: Create a New Scenario in Make.com

Log in to your make.com account and create a new scenario. Add your first module based on your product source, for example:

  • A Shopify or WooCommerce module to watch for new or updated products.
  • A Google Sheets module to watch for new rows.
  • A database or HTTP module if you pull from a custom system.

Configure filters or search criteria so the scenario only processes the products you actually want to optimize.

Step 2: Map Product Fields

Once the trigger is set, add a data transformation module (such as a text or tools module) to clean and organize the incoming data. Typical actions include:

  • Combining multiple attributes into a single field for AI.
  • Standardizing category names.
  • Removing empty or irrelevant values.

The goal is to deliver clear, well-structured inputs to the AI step later in your make.com scenario.

Step 3: Connect an AI Module in Make.com

Next, plug AI into your workflow. Depending on your plan and tools, you might use:

  • A built-in AI or text generation module.
  • An OpenAI or other LLM connector.
  • An HTTP module calling a custom AI endpoint.

In this module, you define the prompt that will transform raw product data into SEO-ready copy.

Design an SEO-Aware Prompt in Make.com

The quality of your output depends heavily on the prompt you configure in make.com. Build a structured, reusable prompt template.

Define Roles and Objectives

Start your prompt by clearly stating:

  • The role of the AI (for example, “You are an e-commerce copywriter and SEO specialist”).
  • The objective (for example, “Write an SEO-optimized product description that converts visitors into buyers”).

This framing guides the AI to focus on both readability and search performance.

Pass Structured Product Data

Map your product fields into the prompt using variables from the earlier modules in make.com. Include:

  • Product name and category.
  • Key features, materials, and specifications.
  • Target audience or use cases, if available.

Present these as labeled bullet points or a simple JSON-like structure inside the prompt so the AI understands context clearly.

Specify Output Format and SEO Rules

In the same prompt, give explicit instructions on the format and SEO guidelines, for example:

  • Ask for a short and long description.
  • Request a set of bullet-point features.
  • Ask for an SEO title and meta description within character limits.
  • Request natural inclusion of primary and secondary keywords, without keyword stuffing.

By setting these constraints in make.com, you standardize how product copy is generated across your catalog.

Post-Process and Validate AI Output in Make.com

After the AI module returns content, use additional modules in make.com to make sure the copy is clean, safe, and ready to publish.

Clean and Structure the Text

Use tools or text modules to:

  • Trim white space and remove extra line breaks.
  • Split the response into separate fields (description, bullets, meta tags).
  • Enforce maximum character counts where required.

This step ensures the generated copy fits perfectly into your e-commerce platform fields.

Add Quality and Safety Checks

Before writing to your store, it is wise to add validation logic in make.com:

  • Check for missing sections, like absent meta descriptions.
  • Scan for banned words or phrases.
  • Optionally route suspicious outputs for manual review.

You can implement these checks with filters, text search functions, or additional AI moderation calls.

Publish Copy to Your Store with Make.com

When the content passes validation, the final modules in make.com should send it to your e-commerce system.

Update Product Fields Automatically

Use your platform connector (for example, Shopify, WooCommerce, or a custom API) to:

  • Update the main product description.
  • Insert bullet points into features or highlights sections.
  • Set SEO title and meta description fields.

Map each piece of AI-generated text from the earlier modules to the corresponding fields in your product record.

Handle Existing Content Safely

Decide how to treat products that already have content. In make.com, you can:

  • Skip products with complete descriptions.
  • Only update empty or outdated fields.
  • Store previous content in a backup field for recovery.

These safeguards preserve valuable human-written copy while still allowing automation to fill gaps at scale.

Monitor, Iterate, and Scale with Make.com

Once your scenario is live, track performance and continuously refine your prompts and logic in make.com.

Measure Impact on SEO and Conversion

Use analytics tools to compare before-and-after results on:

  • Organic traffic to product pages.
  • Click-through rates from search results.
  • Conversion rate and average order value.

These insights help you adjust tone, structure, or keyword emphasis in your prompts.

Improve Prompts and Logic Over Time

As you gather data, revisit your make.com scenario to:

  • Refine AI instructions for clarity and brand voice.
  • Add new fields or product attributes to the prompt.
  • Extend automation to new categories or languages.

Because make.com is modular, you can evolve your automation without rebuilding it from scratch.

Resources for Using Make.com with AI

To deepen your implementation, study detailed examples of AI-powered e-commerce automation built with make.com. A useful starting point is the original how-to guide on creating SEO-ready product copy with AI and automation, available at this Make.com tutorial.

If you need expert help designing or optimizing complex scenarios, agencies like Consultevo specialize in automation, AI workflows, and SEO-focused implementations.

By combining structured product data, a well-crafted AI prompt, and flexible automation modules, make.com enables you to generate SEO-ready product copy at scale while maintaining consistency, quality, and brand alignment across your entire catalog.

Need Help With Make.com?

If you want expert help building, automating, or scaling your Make scenarios, work with ConsultEvo — certified workflow and automation specialists.

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