--- title: "E-commerce Mode: AI Product Enrichment & Feeds - Serpwise" description: "Build better product feeds, enrich product data with AI, and write optimized content back to your store. Magento 2, WooCommerce, Shopify, and Custom API." url: "https://serpwise.ai/ecommerce/" source: "https://serpwise.ai/ecommerce/" --- [E-commerce Mode](#main) E-commerce mode # Better product data. Everywhere you sell. Turn your catalog into richer product content and destination-ready feeds. Enrich with AI, validate the output, and write supported content back to your source. Deliver optimized product schema at the edge. [Get in touch](/contact/) [Explore the pipeline](#pipeline) Product enrichment · illustrative example SKU / LIN-042 Everyday linen shirt Source title Linen shirt — blue AI-enriched title Blue linen shirt with a relaxed fit Product attributes Color: blue · Material: linen Review → approve → deliver Product feeds Source write-back Edge schema Connect your commerce platform - ![](/logos/commerce/magento.svg) Magento 2 - Shopify - Custom API [Get in touch](/contact/) From product data to publication ## Connect. Enrich. Deliver where it counts. See how your catalog becomes better feeds, updated store content, and optimized product pages. ### Connect your products Your catalog Bring product data in from your store. Names and descriptions Images and attributes One shared product foundation ### Enrich with AI Better product content Rewrite copy and fill in missing details. Product titles Materials and colors Richer data, ready for review ### Check the quality Review and validate Approve content and check channel requirements. Your approval Feed validation Ready for the right destination Your delivery paths [**Product feeds ↗** \ Google Shopping · PriceRunner · Kelkoo](/ecommerce/product-feeds/) [**Back to your store ↗** \ Write supported content back to the source.](#source-delivery) [**Live at the edge ↗** \ Optimized product schema and page content.](#source-delivery) You choose what goes where. Source write-back depends on the connector and field; feeds and edge content have separate delivery controls. Connected catalog ## Make different source data work as one catalog. Connect Magento 2, WooCommerce, or Shopify, or import a product feed. Map source fields and values into a consistent catalog before enrichment and channel delivery. For a Custom API integration, get in touch to discuss your data flow. 01 ### Keep the source context Work with product identity, variants, pricing, stock, images, and attributes in one place. Select the source connections that belong in each output, with the option to unify matched products or keep source-specific rows. 02 ### Keep enrichment current Product-field fingerprints help identify meaningful changes to source data. See which product fields have changed so your team can focus its next enrichment pass on stale data. A page layout change alone does not need to be treated as a product change. Connector capabilities vary. Collections, image workflows, and source write-back are currently Shopify-specific in the connected-store experience; feeds and the shared catalog have their own controls. 01 / Product feed generator ## One catalog. Feeds shaped for every channel. Start with a destination template, map your fields, filter products, and chain transformations. Preview the final values before scheduling delivery in CSV, TSV, XML, or JSON. Templates for Google Shopping, Meta, Microsoft, TikTok, Pinterest, PriceRunner, and more. [Explore the full product feed engine](/ecommerce/product-feeds/) CSV · TSV · XML · JSON | Destination field | Value source | |-------------------|--------------------------| | title | AI-enriched product name | | description | Channel-specific copy | | product\_type | Mapped category | | custom\_label\_0 | Reusable AI field | 02 / Synthetic product data ## Give every product a fuller story. Generate synthetic product data with AI using your catalog context. Create short descriptions and channel-specific copy as custom AI fields, or enrich shared product attributes used across your catalog and feeds. ### Rewrite product content Improve product names and descriptions. Shape generated copy with your tone, target length, and campaign context. ### Enrich product attributes Fill gaps in color, material, pattern, category, product type, and more. Choose to fill missing values or replace existing enrichment. ### Reuse the intelligence Save prompt templates and cache generated values per product. Use an AI field in a feed, or target a shared catalog attribute. Beyond a rewritten description ## Understand the product. Then enrich the details. The product enrichment pipeline combines source text with image analysis where images are available. It produces structured content that can be reused across product pages, feeds, and discovery experiences. 01 ### Product copy and answers Generate an optimized title, full description, short description, selling highlights, specifications, and product FAQs. The pipeline also produces keywords and up to five custom labels to describe and organize products. 02 ### Taxonomy and attributes Classify products with a Google Product Taxonomy ID and category path, plus a free-form product type. Enrich color, material, pattern, size system, and other supported attributes using the available product evidence. 03 ### Image-informed context Vision analysis can identify visible colors, patterns, material cues, style, brand markings, and image quality. Combined analysis reconciles those signals with source text to create a more complete product profile. Manual field overrides and attributes filled by your AI rules take precedence over general re-analysis. Keep important editorial decisions while regenerating the rest of the product content. Editorial control ## Scale the work without losing the review. Use the review queue for generated page content awaiting approval. Approve or reject candidates, configure auto-apply confidence settings, and control edge delivery at domain and product level. 01 ### Review what will go live Inspect generated product content before enabling page delivery. AI confidence is a signal for routing work, not a guarantee of correctness. Your team can retain control over the content that needs a closer look. 02 ### Choose what belongs on the page Enable the relevant enrichment sections, including descriptions, specifications, highlights, FAQs, and structured data. Edge delivery is reversible: disable an injection to return that delivery path to the source content. Page-content approval, feed publication, and source write-back are distinct actions. Approving one does not mean every channel or source field has been updated. 03 / Feed quality ## Catch the problems before they travel. Validate the payload your channel will actually receive, after mapping and transformations. See eligible products, warnings, and blocking errors together, then fix the destination that needs attention. - Destination-specific validation - Preview and apply targeted fixes - Rerun checks after improvements 04 / Source + edge ## Yes, optimized content can go back to your store. Enrichment should reach the systems your team works in. Source write-back applies supported changes to your connected store, while edge delivery handles improvements such as product structured data. ### Write back to source Review and apply supported product fields to the source platform. Shopify write-back includes product titles, descriptions, specification metafields, image alt text, and variant metafields, with field selection and an audit history. Available fields depend on the connector and write permissions. ### Deliver at the edge Serve optimized Product JSON-LD schema markup on your product pages through the Serpwise edge. This delivery path does not require writing the schema into your store’s templates. ### What goes where? ContentSource write-backEdge / feed use #### Product title and description Source write-back Shopify: selected fields with write access Edge / feed use Enriched page content and feed columns #### Specifications and variant attributes Source write-back Shopify: product and variant metafields Edge / feed use Specifications on the page; supported attributes in feeds #### Image alt text Source write-back Shopify: supported media with file write access Edge / feed use Image accessibility and product context #### Short descriptions and custom AI fields Source write-back Depends on the target field and connector; feed-only fields are separate Edge / feed use Reusable summaries and destination-specific feed content #### Product / ProductGroup JSON-LD Source write-back Delivered through the edge workflow Edge / feed use Product schema, including supported variant offer data Beyond the feed ## Connect content to the rest of your commerce workflow. E-commerce Mode also brings channel diagnostics, collection content, product imagery, and discovery controls into the same workspace. Use the parts that fit your source and storefront. 01 ### Google Merchant Center Connect a Merchant Center account, map attributes, select products, and sync offers directly. Reuse shared segments and transformations, then inspect Google diagnostics alongside preflight quality findings. 02 ### Collection enrichment For Shopify collections, generate introductions and collection structured data using the collection and its member products. Deliver through the edge, with source-content change detection to avoid regenerating unchanged inputs. 03 ### Product Image Studio For supported Shopify products, create image candidates from existing product photography: cleaner backgrounds, lifestyle scenes, alternate views, and infographics. Review candidates before accepting them; supported write-back can add or replace store images. 04 ### Related-product discovery Enable a related-products block selected by semantic similarity. Configure its heading and size, with out-of-stock and unpublished products excluded. The block is delivered at the edge. The enrichment catalog also supports semantic product search for connected AI agents. Better product context can be reused beyond the visible product page. Measure the result ## Move from “we changed it” to “what happened?” Compare enhanced products with a concurrent holdout group, or run a product content experiment against the current edge content. Use the measurement workflow to assess outcomes instead of assuming every rewrite is an improvement. 01 ### Treatment and holdout groups Enroll products that already have generated content, choose the holdout share, and compare measured performance. The dashboard reports click and conversion-rate differences where the required data is available. 02 ### Product content experiments Create a proposed content variant, compare it with the current product content, and measure conversion performance through the experiment workflow. Results depend on traffic, instrumentation, and the available sample. Start with a defined product segment and a clear goal. Review the content and delivery settings, then use the resulting data to decide what to roll out more widely. ## A few details before you connect. 01 Which platforms can I connect? + - E-commerce Mode supports Magento 2 / Adobe Commerce, WooCommerce, and Shopify. Get in touch to discuss a Custom API integration and your catalog requirements. 02 Can you write all enriched data back to every platform? + - Write-back is connector- and field-specific. Shopify supports selected titles, descriptions, product and variant metafields, and image alt text with the required write access. We will confirm the supported source fields for your integration. Feed-only AI fields are separate from source write-back. 03 Can AI create short descriptions and additional feed fields? + - Yes. Reusable prompts can generate custom feed content, including short descriptions. AI can also enrich shared attributes such as title, description, color, and material. Review generated values for accuracy before using them. 04 Does feed validation guarantee channel approval? + - No. Validation helps identify issues in your destination payload. Each channel still controls its own review and eligibility decisions. When blocking is enabled, failed candidates can be held while your last good feed stays live. ## Put your product data to work. Show us your catalog. We’ll help you map the right path for enrichment, feeds, source write-back, and edge delivery. [Get in touch](/contact/)