Google Shopping
SkillFeed and campaign work built on the product data your shop system already holds, because most feed problems are catalogue problems.
On this page
What this skill does
Google Shopping is Google’s product listing surface, fed by a product data feed that a merchant submits through Google Merchant Center. Feed quality is the foundation: how completely and accurately products are described determines what can be shown and matched.
That is repetitive, rule-bound work across thousands of rows, which is the kind of task AI is genuinely suited to. The skill drafts, checks and flags titles, descriptions and attributes; what goes live stays a decision your team makes.
How it runs in hurra.ai
Skills are role-specific AI agents built on your data and your ways of working: domain specialists, not a generic chatbot with a blank prompt box. A skill runs inside the platform your systems are already connected to, rather than as a separate tool with its own login and its own setup.
That inherited context is the practical difference. A standalone tool has to be told what your business sells and where its data lives, once per tool, and then told again when either changes. A skill starts from connections that already exist and are already maintained: your products, your content, your customers and your measurement.
Skills are added and left out one at a time. You switch on the ones that match work you actually do, and the rest stay out of the way instead of cluttering an interface.
In hurra.ai, shopping feed work builds on the product data your connected shop system already holds. Feed and campaign signals are analysed next to the commercial record, and the skill coordinates with the search-side skills on one shared product truth.
Examples in practice
Build the feed from connected product data. Working from the shop system directly avoids maintaining a second, drifting copy of your catalogue for feed purposes.
Find gaps in product descriptions. Missing or thin attributes limit how a product can be matched, and reviewing the catalogue as connected data makes those gaps visible.
Read shopping results next to orders. With the shop system in the same layer, shopping campaign figures can be examined next to what those products actually sold.
Frequently asked questions
How do I improve a Google Shopping feed?
Start with the product data itself: completeness, accuracy and consistent attributes. Most feed problems are catalogue problems rather than campaign problems.
What does the hurra.ai shopping skill do?
It works on feed and campaign questions using the product data connected in your layer, so the analysis starts from your live catalogue.
Which product data does the shopping skill use?
The catalogue from your connected shop system, such as Shopify. You decide which sources it may read.
Does hurra.ai manage my Merchant Center account?
No. Your Merchant Center and campaign accounts stay yours. The skill works on the data and analysis side.