Product descriptions that fit each channel and each location
Amazon, Google Shopping, Walmart, Meta Shop, and your own website all want different copy. So does each of your locations. We adapt automatically.
The problem
A multi-location operator with a real SKU catalog ends up describing each SKU in many places. Your own website. Google Shopping. Amazon. Walmart. Facebook Shop. Instagram Shop. TikTok Shop. Per-location landing pages. With 200 SKUs across 12 channels, that is 2,400 descriptions per refresh. Each channel has different character limits, attribute structures, and required language. Some channels prohibit certain claims. Some require specific disclosures. State rules add more constraints. The ecommerce team runs a quarterly refresh that takes about three weeks. About 39% of descriptions sit stale at any given time. AI copy generators (Copy.ai, Jasper, Writesonic, ChatGPT, Anyword) produce content fast. Multi-channel listing platforms (ChannelAdvisor, Sellbrite, Listing Mirror, Sellercloud, Linnworks) push to channels. PIM systems (Salsify, Akeneo, inRiver, Plytix, Pimcore) store attributes. None of them keep per-location, per-channel descriptions current in your brand voice with state rules applied.
What success looks like
Every SKU description for every channel for every location stays current — in your brand voice, with state rules respected, with per-channel format requirements satisfied. When the Tustin location starts selling a SKU that the Costa Mesa location does not, the Tustin pages reflect it. When Amazon updates a product-detail-page requirement, descriptions adapt without a manual rewrite cycle. The 39% stale rate drops below 10%. Your ecommerce team reviews exceptions instead of running quarterly refreshes.
How most operators solve this today
Several categories already touch product description content. None of them coordinate per location, per channel, per state with brand voice:
AI description generators (Copy.ai, Jasper, Writesonic, Copysmith, ChatGPT, Anyword, Hypotenuse)
$13 to $350+/user/month + API costs
Generate content fast. Per-channel formatting, per-location availability, and state rules are still your team to apply.
Multi-channel listing platforms (ChannelAdvisor, Sellbrite, Listing Mirror, Sellercloud, Linnworks, Multiorders, Solid Commerce)
$29 to $300,000+/year
Push to channels well. They expect you to provide channel-ready content.
Product information management (Salsify, Akeneo, inRiver, Plytix, Pimcore, Catsy)
$50/month to $500,000+/year
Store SKU attributes. Generating channel-appropriate copy from those attributes is the unsolved part.
In-house ecommerce team running quarterly refreshes
$60-110k/year manager + content writer + tooling
Quarterly cycles at 2,400 descriptions per refresh leave 39% stale.
Build it in-house
Senior engineer ($130-220k) + ecommerce manager ($60-110k) + four to twelve weeks for v1
Custom GPT pipeline plus Akeneo plus Shopify API plus brand voice. Same maintenance problem at higher cost.
What changes when this is an agent skill
Descriptions are generated per SKU per channel per location. Each SKU has attributes in your PIM. Each channel has its own format requirements (character limit, bullet structure, attribute mapping, prohibited language). Each location has its own service mix and offer availability. Each state has its own rule set. Descriptions are rendered against all four. Brand voice is checked on every variant before publishing. When Amazon changes a requirement, descriptions adapt at the next sync. When a location adds a SKU, the per-location page reflects it. When state rules change, the affected descriptions update. Your ecommerce team reviews exceptions — channel rejections, brand voice flags, edge-case rule conflicts — rather than running quarterly batches. Every adaptation is logged with the channel rules applied, the location context, and the brand voice check result.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Per-Location Page Generator Agent
Produces canonical location + service pages with schema.org markup, distinctness gating, and master-record sync.
Product Description Orchestration Agent
Owns per-SKU, per-channel descriptions at catalog scale — DTC, Amazon, Walmart, Shopify, Instagram Shop, Google Merchant.
FAQ
- How is this different from AI copy generators like Jasper or Copy.ai?
- Those produce content fast but they generate generic copy. Per-channel format requirements, per-location availability, and state rules are still your team to apply. We do all of that automatically.
- How is this different from a PIM like Salsify or Akeneo?
- PIM stores attributes well. Generating channel-appropriate, location-aware, brand-voice-consistent descriptions from those attributes is what we add.
- How is this different from multi-channel platforms like ChannelAdvisor or Sellbrite?
- Those push content to channels. They expect you to bring channel-ready content. We produce it.
- Do we have to switch our PIM or our channel platform?
- No. Salsify, Akeneo, inRiver, ChannelAdvisor, Sellbrite, and most major systems are supported as the underlying data and distribution layers.
- Which channels are supported?
- Your own website, Google Shopping, Amazon, Walmart, Facebook Shop, Instagram Shop, TikTok Shop, per-location landing pages, and most marketplace listings. New channels are added as they reach meaningful scale.
- How are per-location differences handled?
- Each location has its own service or SKU mix in the PIM. Descriptions for that location reflect what is actually available there, not the corporate full catalog.
- How are state rules and channel restrictions handled?
- State rules are encoded once per state. Channel restrictions are encoded once per channel. Both are applied per description before publishing. Conflicting rules get flagged for review.
- How is history captured?
- Every adaptation is logged with the source attributes, the channel rules applied, the location context, and the brand voice check result. Audits run from the log.