Once your template is built, the next question is not "how do I generate a description." It is "which products actually need this first." With a catalog of any real size, you cannot fix everything at once, and you should not try to. Loading and prioritizing products is the step that turns an overwhelming catalog into a manageable, ordered list of opportunities.
I built this step directly from a frustration I lived with for years. At Lotz Outdoors, with roughly 60,000 products, there was no way to eyeball the whole catalog and know where to start. I needed a way to bring products into a workspace, see which ones were genuinely weak, and decide deliberately instead of picking somewhat at random.
The first thing to understand about this step is what it does not do. Loading products from Shopify into Enrichio brings product information into your workflow so you can browse, sort, and select. Nothing on your live storefront changes when you load a product. It is closer to opening a working view of your catalog than making any kind of change.
This distinction matters because it removes the anxiety some merchants feel about touching their catalog. You can load a large batch of products, look around, and decide to work on only a handful of them, with zero risk to what your customers currently see.
You pull products in directly from your connected Shopify store rather than exporting and maintaining a separate spreadsheet. Depending on your plan and catalog size, products can be loaded in batches, and the exact batch size and any limits should be confirmed in your current account, since these details can change between plans and releases.
The point of loading in batches rather than your entire catalog at once is practical, not just technical. A smaller, deliberate batch is easier to review carefully, and it lets you validate your template's behavior on real products before committing time or generation credits to a much larger run.
Once products are loaded, Enrichio can help you see which listings are the weakest through description scores. A description score is a way to flag thin, incomplete, or otherwise weak listings so you do not have to open every single product page to judge it yourself.
Scores are a starting filter, not a final verdict. A low score usually means missing specifications, a very short description, or clearly incomplete content, which is exactly the kind of listing enrichment helps most. A high score does not necessarily mean a listing is perfect, only that it is not obviously thin by whatever the score is measuring. Treat the score as a way to triage a large catalog quickly, then use your own judgment on the products that matter most to your business.
Description scores are one input. A complete prioritization approach usually blends a few signals:
None of these signals should be used alone. A product with a low description score but almost no traffic is a lower priority than a product with a moderate score sitting on your homepage.
If you are working through your catalog for the first time, this order works well:
This produces a working batch that is small enough to review carefully and important enough to matter if the results are good.
Loading and prioritizing is the second step in the Enrichio workflow: build a template, load products, generate, then review and publish. It sits between building your structure and generating content for a reason. You want your generation effort focused on the products where it will do the most good, not spread evenly and thinly across a catalog where some products barely need attention and others need it badly.
Use catalog and products as the working vocabulary here rather than assuming the entire store must be enriched at once. Most merchants see real value working through their catalog in deliberate batches over weeks, not in a single pass.
Load a small group of products, sort by description score, and cross-reference against your store's actual traffic or sales data. That combination will point you toward the listings with the greatest opportunity, which is exactly where your first real batch of generation should begin. Enrichio supports research and generation once you get there, but the loading and prioritization step is what makes sure you are spending that effort where it counts.
Prioritization is not a one-time exercise. New products arrive, suppliers update their feeds, and last quarter's best sellers are not always this quarter's best sellers. It helps to treat loading and scoring as a habit you return to every few weeks rather than a single project you complete and forget.
A practical rhythm looks like this: after you finish a batch of enrichment, load the next set of candidates based on updated traffic data and any new arrivals. Recheck description scores on products you have not touched recently, since supplier feeds sometimes overwrite fields you previously cleaned up. This keeps your catalog moving toward consistency instead of drifting back toward the mix of strong and weak listings you started with.
Merchants managing multi-brand catalogs should pay extra attention here. A distributor updating their feed can quietly reintroduce a thin, generic description on a product you already enriched. Periodically reloading and rechecking scores on your highest-priority collections catches this before too many customers see the regression.