Introducing AI Text Generation: Turn raw data into high-converting product copy

In eCommerce, your product data is the foundation of your visibility. Whether it’s ranking in Google Search or being surfaced by AI-driven recommendation engines, your data needs to be more than just accurate - it needs to be fully complete, accurate, rich and context-aware.

Yet, most retailers are stuck: they either settle for generic content that fails to stand out, or they face the impossible task of manually rewriting thousands of SKUs to stay competitive across every channel.

We're changing that.

Today, we are announcing AI Text Generation, allowing you to transform raw, messy product data into channel-ready, high-performing copy in a matter of minutes.

By using LLM's for product content generation, Channable users can now bridge the gap between what a supplier provides and what Google, or marketplaces like Amazon and eBay, actually require to convert.

This isn't just about automation, it’s about providing agentic commerce ready solutions that make sure your products are discoverable by the AI-driven recommendations.

Key takeaways

• High-volume scaling: Optimize thousands of SKUs instantly without a fleet of copywriters.

• Grounding via attributes: Prevent AI "hallucinations" by anchoring output to your actual product data (color, size, material etc).

• Bring your own tokens: Maintain 100% data privacy and cost transparency by connecting your own Google Gemini or OpenAI account.

• Human-in-the-loop: Maintain total brand voice control with flexible workflows. Choose to approve results product-by-product, validate in bulk, or set rules to auto-approve new items as they enter your feed.

• Effortless localization: Adapt your copy for new markets and languages instantly to scale across borders.

The end of the "copy-paste nightmare."

For the agency managing dozens of clients, the "content gap" is a growth killer. You need high-performance campaigns, but you don't have the resources to manually write 100,000 unique product descriptions.

This solution allows you to reclaim your time by automating the most tedious part of feed management.

Solving the friction of AI adoption

We know that digital marketers have valid concerns when it comes to generative AI. Here is how Channable addresses them:

• The "hallucination" fear: Our AI text generation stays within the lines of your data. It only uses the specific product fields you choose (like brand, material, or technical specs) and the instructions you provide in the prompt. Because it’s built to pull directly from your existing feed, it doesn’t invent features that aren’t there; it just takes your raw facts and turns them into better copy.

• The brand voice doubt: Maintain total brand control. Leverage your existing brand guidelines and saved context with your own LLM account, or write custom prompts to instantly switch between professional technical specifications and punchy social copy.

• The price concerns: By using a BYO-token (Bring Your Own Token) model, you pay the LLM provider (Gemini or OpenAI) directly at cost. There are no hidden markups, and your data is never used to train public models.

Future-proofing with eCommerce AEO and GEO

Traditional SEO isn't dead, but it has company. We are entering the era of eCommerce AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). As search engines evolve into AI assistants, they look for highly descriptive, structured content to present to users.

Implementing a GEO strategy for eCommerce and DTC brands means providing the context that LLMs crave. By using Channable to enrich your feed with localized, attribute-heavy narratives, you are using one of the best solutions for agentic commerce searches to stay ahead of the curve.

How to set up your AI content engine with Channable

To access these features, you must be on the Core Pro plan. The setup is designed to be intuitive, even for first-time users.

1. Connect your Gemini or Open AI account

Navigate to the "Optimize" section and create a connection to Google AI Studio. This ensures your data stays within your controlled environment.

• Need help? See the technical steps for a AI connection.

2. Define your inputs

Select which product fields (e.g., Brand, Material, Color, Type) the AI should use. This "anchors" the AI and prevents generic results.

3. Prompting & iteration

Use our expertly tested templates or write your own. You can generate 5 previews to test how the AI handles your data before committing to the full catalog. This is where you fine-tune the eCommerce localization strategy for international markets.

4. Review and sync

You maintain "Human-in-the-Loop" control. You can approve results item-by-item, in bulk, or set a workflow that generates and auto-approves texts for new products as they enter your feed.

The performance loop: Data-driven optimization

Generating text is only half the battle. When paired with Channable Insights, you can track how your new AI-generated titles and descriptions are performing in the real world.

If a specific prompt leads to a 20% boost in CTR on Google Merchant Center (as seen by our early beta users like Agustín Roletto at viva!), you can roll that logic out across your entire catalog. This creates a feedback loop where your AI optimized eCommerce strategy is constantly evolving based on actual ROAS.

Take back your strategy

AI text generation is about more than just efficiency, it’s about empowerment. By removing the manual burden of content creation, agencies and advertisers can finally focus on strategy, expansion, and performance.

Ready to see how Channable can transform your raw data into your most valuable sales asset?

Explore AI Text Generation in Channable or view the interactive demo.