When adding a large number of products for sale through imports from external sources.
When adding a large number of products for sale through imports from external sources and you don't have descriptions for the products, you usually have only basic information available: title, prices, stock, and a few basic product attributes. When dealing with a large volume of products (several thousand items), manually entering descriptions would be extensive and expensive. For example, if you have 1,000 products and need five minutes to describe each one, and you need to manage two languages, this approach would take 10,000 minutes, which is about 170 hours, or more than four working weeks, for one person.
If you're short on time, you may decide to publish products without custom descriptions, relying solely on the acquired data. This way, you could start selling immediately, but the products wouldn't be well presented, likely not realizing their full sales potential. Additionally, such product listings could cause optimization issues, as search engines (e.g., Google) may mark the content as duplicate, potentially leading to lower search engine rankings.
The solution is to build descriptions conditionally from product data, or drafts prepared by an AI tool and then reviewed by a person. For example, if the product has information about the type of tire (e.g., winter), you can expand the description to state that the tire is suitable for driving in winter conditions when the road is icy, as it has a larger tread pattern and better grip than summer tires. This description can be displayed for all products with the same type of tire. You can do the same for other product values, such as summer and all-season tires and other attributes (e.g., tire noise level, brand, etc.). Keep two things in mind: (1) automatically generated text must be true and checked - AI sometimes invents facts; (2) text with no real value for the reader is not rewarded by search engines, regardless of who wrote it. Start with your best-selling items and enrich their descriptions with your own data.
My name is Anže, I am a certified Magento solution expert and the maker of several award-winning online stores. I am the architect of all Degriz projects.
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