I’m currently facing a big task - writing SEO-optimised descriptions for over 2,000 collections on my site. Each collection needs:
A few solid paragraphs of descriptive content
Optimised meta title
Optimised meta description
I’ve experimented with several AI solutions including SurferSEO, Scalenut, Jasper, ChatGPT, and Claude. While they’re great for longer-form content like blogs and articles, I haven’t found the perfect solution for creating concise, SEO-friendly collection descriptions at scale.
Has anyone successfully used an AI tool specifically for e-commerce collection descriptions?
If you’ve tackled a similar project or have recommendations for tools better suited for this specific use case, I’d really appreciate your insights!
For generating SEO-optimized collection descriptions at scale, you might want to check out Frase.io and NeuronWriter—both are strong for concise, structured content with SEO optimization. Another approach is using ChatGPT API + a custom script to generate descriptions in bulk, tweaking prompts to ensure they align with Shopify’s SEO needs.
If automation is key, Shopify apps like SEO Manager or TinySEO can help with meta titles/descriptions while AI tools handle the longer content. A workflow combining SurferSEO (for keyword insights) + Jasper/ChatGPT API (for content) + a Shopify bulk import tool might be the most efficient way to go.
Hey Eddy, I don’t recommend ChatGPT for this. While it’s a great A tool, I recommend using something that is Shopify-centric.
To my knowledge, you can try Shopify Magic. It is an SEO-friendly tool that generates good product descriptions, which can also help with meta descriptions. Read this for in-depth information on prompts, text generation, etc.
Apart from this, I also recommend using AdNabu, which is a product feed management app that helps with product titles and provides optimized keywords that will help your products rank in the search results. The app has an “Ask AdNabu AI” feature that generates useful keywords for your product titles.
I’ve worked on a similar project with around 1,000+ collection pages across multiple languages, and I hit the same roadblock. Tools like Jasper and ChatGPT helped with ideas and outlines, but the results always felt too generic or robotic, definitely not ready for live pages without heavy editing. The bigger challenge was keeping the tone natural while still embedding the right keywords for SEO.
What helped me was fine-tuning AI outputs with a tool that makes AI text sound more real and less like, well, AI. I use unaimytext for this part. It keeps things SEO-friendly but adds that smooth, human touch that’s a pain to do manually across thousands of collections.