SharpFeed Update: AI Boosted Attributes is now live
AI Boosted Attributes automatically fills in missing product details in your feed (like brand, color, size, material, age_group, and pattern). You import your feed, choose the attributes to enrich, preview a sample, then boost missing values in bulk and export an updated file. It improves feed completeness for Google Shopping and AI shopping experiences, saves hours of manual cleanup, and uses credits on paid plans so usage stays predictable.
Why missing attributes hurt organic performance
Shopping engines rely on structured attributes to understand and compare products. When key fields are empty, you typically get:
- Weaker product understanding and matching on Free Listings
- Lower-quality listings for shoppers (less clarity, fewer comparable details)
- More manual work to patch catalogs across hundreds or thousands of SKUs
In practice, missing attributes are one of the most common reasons a feed looks “good enough” but still underperforms.
What AI Boosted Attributes does (and what it does not do)
AI Boosted Attributes is designed to complete gaps, not rewrite your catalog.
It can generate missing values for common attributes like:
It does not replace values you already provide. The goal is to make your feed more complete while keeping your existing product data intact.
Overview of the table of boost opportunities on a ready-to-wear feed
How you use it (simple end-to-end flow)
The workflow matches SharpFeed’s other AI features:
- Upload your feed (or import from a URL / saved feed).
- Choose attributes to enrich: select the fields you want to boost.
- Preview a sample: see the type of values the AI will generate before running in bulk.
- Boost missing values in bulk and export the updated feed.
This keeps the process safe: you always see the output style first, then apply it at scale.
Exports that fit real workflows
Once the boost is complete, you can export an updated feed or a supplemental data source. This allows you to:
- Use a new primary feed directly
- Or use an supplemental feed as an optimization layer on top of an existing primary feed
If you want a refresher on supplemental feeds, you can check what are supplemental feeds and how to use them.
Credits and plans
AI Boosted Attributes is an AI feature available on paid plans and uses credits. This keeps usage predictable: you control which attributes are boosted and when you run bulk updates.
FAQ
Will it overwrite my existing attribute values?
No. AI Boosted Attributes focuses on completing missing values, not rewriting what’s already present in your feed.
Which attributes can I boost?
You choose which attributes to enrich (for example brand, color, size, material, age_group, pattern). SharpFeed shows a preview before you boost in bulk.
Is it useful if my feed is “mostly complete”?
Yes. Even a small percentage of missing values can create systematic gaps at scale (especially for variants). Completing those gaps usually improves listing clarity and feed quality signals.
Does it work for both Google Shopping and ChatGPT Shopping?
Yes. The primary use case is better structured data for Google Shopping and Free Listings, but richer attributes also help any AI shopping experience that relies on your feed for product understanding and matching.
Final takeaway
Feed optimization is not only about fixing errors. It’s also about completeness and clarity. AI Boosted Attributes removes one of the most time-consuming parts of feed cleanup by filling missing details while keeping you in control with previews and credit-based usage.