Using User-Generated Content To Enhance Ecommerce Product Descriptions

New Ecommerce SEO article: How to use gen-AI + reviews to write product descriptions at scale. In 10 minutes, you can create 250+ descriptions: This is an article that I just wrote for the Search Engine Land site. Reviews are a goldmine of data for ecommerce sites. However, this is a data source that's often underutilized on my sites. Many commerce sites have reviews that contain a ton of information about real customers. Fans of your company, people who have used the product, users will real-life experience. This is the type of content that's perfect for using as a source for product descriptions as users are likely highlighting the product's most important features. By using Screaming Frog's OpenAI integration, you can have the tool extract your reviews, run them through ChatGPT and have it create product descriptions. Here's the process. 1. First you'll need to have Screaming Frog extract the reviews from your site. Navigate to Configuration > Custom > Custom Extraction > Add. Add a new extraction called "Reviews" 2. Then select the "Globe" icon to pull up the visual editor. This will help you create the regex/CSS to extract your reviews. 3. Run a sample product page through the editor. Click your reviews section and look at the "Suggestions" feature. Toggle through these until you find a code snippet that will pull just your reviews. Save this configuration. 4. Next, you'll need to push this extraction to OpenAI. Navigate to onfiguration > API Access > AI > OpenAI. Ensure your OpenAI key is added in "Account Information". 5. Next go to the Prompt Configuration tab and click Add. Name your prompt “Product Descriptions.” In the Page Text dropdown, select Custom Extraction > Reviews. 6. In the "Enter Prompt" field add your prompt. You'll want to tell OpenAI to create reviews from the submitted product reviews. You can click the "Play" button to test the output. 7. Finally, start your crawl by using Screaming Frog on "Spider" mode. When the crawl is complete, go to AI > Product Description in the right-side bar to find your new product descriptions. What I've found is that the product descriptions outputted are generally pretty strong. They take into account a product's most prominent features from reviews and integration them into the actual description. It's worth noting that this content only serves as a STARTING POINT for product descriptions. You 100% need to have a copywriter review the output and makes adjustments. However for commerce sites with thinner resources, this is a good way to quickly generate product descriptions using real-world customer data.

Most brands don’t leverage user-generated content (UGC) from their Amazon product detail pages as much as they should. One of the best sources of UGC is the Q&A section and customer reviews. If the same question keeps popping up, that’s a sign you need to address it in your product content. Your bullet points, A+ Content, and even your images should proactively answer those common concerns. Beyond just boosting conversions, this approach strengthens your product pages for search as well. Amazon’s AI assistant, Rufus, pulls from this content to answer shopper queries. Voice search on Alexa devices, mobile shopping, and external search engines also prioritize content that directly addresses user questions. The more detailed and relevant your product pages, the more likely your ASINs are to surface in search results, no matter how (or where) shoppers are looking. Your customers are already telling you what they need. Make sure your product pages are listening. #ChannelKeyLLC #Amazon #Rufus

5 UGC prompts that convert better than any product description: After connecting thousands of brands with UGC creators… I've found that HOW you ask for content matters more than who creates it. Most brands send generic briefs that result in generic content. But specific prompts trigger specific emotions that drive purchases. Copy and paste these instead: 1. "Show how this fits into your real daily routine" (creates relatability) 2. "Film your actual first reaction, even if it's not perfect" (builds authentic trust) 3. "Show the moment you realized this product was worth it" (triggers validation) 4. "What surprised you most about this product?" (highlights unexpected benefits) 5. "What's the one thing you'd tell someone who's hesitating to buy?" (addresses objections naturally) Notice what these prompts all have in common? They focus on emotions and experiences, not features. Stop asking creators to just "show the product." Start asking them to show the specific moments that actually drive conversion. — Leo Limin