Pick a destination, write a prompt, or pop the canvas. Channel Studio maps required fields, optimizes meaningful copy, and ships Google Merchant, ChatGPT Commerce, Bing, Perplexity, and fully custom feeds — plus ad copy, blog posts, and social captions on demand.
Product teams rewrite the same SKU for the storefront, Google, Amazon, ChatGPT, custom feeds, ads. The moment those rewrites happen outside the verified record, titles drift, bullets overclaim, feeds get rejected, and nobody knows which version is safe to ship.
Merchant Center
Microsoft Advertising
description
Excluded
The description references performance claims that don't appear in any cited source. Average claim confidence: 0.62 · Required: ≥ 0.85
key_specs
Excluded
The key_specs structured field is required for ChatGPT Shopping rank. Provide motor wattage, capacity, material, and warranty as a compact spec object.
Title length, wattage conflicts, Microsoft promo policies, OpenAI grounding thresholds — all enforced before publish, from the single canonical record.
Native templates for the big shopping engines and AI shopping surfaces — Google Merchant, ChatGPT Commerce, Bing, Perplexity. Anywhere else, build a custom feed in any format the destination accepts.
Google Merchant Center feed generation and optimization.
ChatGPT Commerce feed generation and optimization.
Bing Merchant Center feed generation and optimization.
Perplexity Merchant feed generation and optimization.
For anything beyond the templates, the visual canvas. Drop input nodes, transform nodes, generate nodes, output nodes — connect them, run them, see what each step actually produces.
No black boxes. No hallucinated joins. The AI assembles the same nodes a person would — and every connection is just data flowing between contracts you can inspect.
Quick-start pipelines for the work every brand does every week — ads, blog posts, social captions, USPs, comparison tables, email sequences, custom CSVs. Need something different? Describe it; Channel Studio assembles the nodes.
Scroll-stopping hooks and captions from your product data.

Responsive and Performance Max ad copy from specs.
SEO-optimized articles from product data + web research.
Extract key selling points grounded in verified specs.
Product-aware email flows for lifecycle marketing.
Export product fields as CSV with custom column mapping.
Feature-by-feature comparison from verified product data.
Build from scratch with the node-based pipeline builder.
Required fields missing for Google Merchant? Perplexity Merchant 95% ready and not shipping? Bing rules just changed? Recommendations surface the work, score the impact, and tell you what it will cost — accept what matters, ignore the rest.
| Impact | Type | Task | Channel | Products | Effort | Token cost | |
|---|---|---|---|---|---|---|---|
| channel | Generate missing data for Google Merchant Center with AIEnrichment completed but 2 fields are still missing (title, description). Central can ship them. | Google Merchant | 10 | ~automated | 0 | Accept | |
| channel | Create Perplexity Merchant feed nowYour data is 95% ready. 10 products will be included. | Perplexity Merchant | 10 | ~one click | 0 | Accept | |
| channel | Generate missing data for Bing Merchant Center with AIEnrichment completed but 2 fields are still missing (title, description). Central can ship them. | Bing Merchant | 10 | ~automated | 0 | Accept |
Identical facts. Four different shapes — each tuned to its destination's character limits, attribute names, copy rules, and format. AI did the drafting; the verified record decided what ships.
Google Merchant · xml
ready
ChatGPT Commerce · jsonl
ready
No. It adapts structure and language to each destination while staying grounded in the same verified facts. Title length, attribute names, format, tone — all tuned per channel.
Google Merchant Center, ChatGPT Commerce, Bing Merchant Center, Perplexity Merchant — plus custom CSV, XML, JSON, or JSONL feeds for anything else.
Anything bespoke. Multi-step pipelines, conditional filters, custom AI generation per field, joining several data sources, branching outputs. The canvas exposes the same nodes the AI uses when it builds for you.
Only where the workflow and readiness rules allow it. Public copy emphasizes review and readiness before publish or export.