> For the complete documentation index, see [llms.txt](https://helpcenter.channable.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://helpcenter.channable.com/css/productsai.md). # ProductsAI Products AI helps you improve your Google Shopping listings faster by allowing you to optimize product attributes in bulk based on Google Shopping best practices. These optimized attributes help your products show up more clearly, match better with relevant searches, and reduce manual feed work.
Supported languages ProductsAI currently supports the following languages: * Danish * Dutch * English * Finnish * French * German * Greek * Hungarian * Italian * Norwegian * Polish * Portuguese * Romanian * Spanish * Swedish
*** ### Why use Products AI Products AI helps merchants get better feed quality without spending hours editing attributes by hand. With Products AI, you can: * Improve product relevance for Google Shopping * Save time by optimizing attributes in bulk * Keep control over how AI rewrites your content {% hint style="info" %} Better feed data helps Google understand your products more accurately. That can improve visibility, listing quality, and long-term campaign performance. {% endhint %} ### What Products AI improves #### Products AI can optimize these Google Shopping attributes: * Title * Product\_type * Description * Color * Size * Age group * Gender * Pattern * Materia * Google product category This helps you improve the parts of your feed that most directly affect how products are understood and matched in Shopping. ### Credits Products AI includes unlimited credits, so you can optimize all of your products without usage restrictions. This makes it easier to improve feed quality at scale and keep testing optimizations across your catalog. ### How you stay in control You can guide the output based on your goals and feed structure using the following aspects #### Title template Choose a title structure that fits your catalog and follows Google Shopping best practices. You can choose from
:shirt-tank-top: Apparel **Recommended structure** Brand + Gender + Product Type + Attributes (Color, size, material) {% hint style="info" %} #### Example *G-Star Men's Jeans 3301 - Slim fit - Super Stretch Denim - Light Blue/Light Ages - (Size 34/34)* {% endhint %}
:cart-shopping: Consumables **Recommended structure** Brand + Product Type + Attributes (Weight, Count) {% hint style="info" %} #### Example *Natura Merlot Organic Red Wine - Smooth/Mild taste - from Chile - Rapel Valley | 2018 | 75cl* {% endhint %}
:couch: Hard goods **Recommended structure** Brand + Product Type + Attributes (Size, weight, quantity) {% hint style="info" %} #### Example *IKEA single bed - HEMNES - Convertible to Double Bed - with 3 drawers, 80x200cm, White wood* {% endhint %}
:tv: Electronics **Recommended structure** Brand + Product Type + Model + Attributes/Characteristics {% hint style="info" %} #### Example *Samsung LED TV UE49RU7300 49 inch Smart LED TV - Curved screen - 4K Ultra HD/HDR* {% endhint %}
:gift: Seasonal **Recommended structure** Brand + Product Type + Occasion + Attributes/Characteristics {% hint style="info" %} #### Example *Rituals Sakura - Mother's Day Gift Set - Women gift box with shower foam, body scrub, and body cream* {% endhint %}
:book-open-lines: Books **Recommended structure** Title + Format (hardcover, eBook) + Author + Subtitle {% hint style="info" %} #### Example *Lean Startup (Paperback) by Eric Ries - How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses* {% endhint %}
:pencil: Custom title structure
#### AI creativity control Adjust how closely the model follows your instructions. At the Low end, the output stays closer to your prompt. At the High end, the model has more freedom to vary the result. #### Custom prompts Add extra instructions to steer how Products AI rewrites your attributes. Useful prompt examples include:
* Only append to title * Add seasonal keywords to the title * Use an informal tone in the description * Put the most relevant keywords first in the title --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://helpcenter.channable.com/css/productsai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.