Digital Marketing 

ODININ
Screenshot of ODININ online store page showcasing a men's Aurora performance hoodie in charcoal grey worn by a male model, displaying product details and sizes.
A man wearing a dark gray hooded performance hoodie with a front zipper, standing against a plain light background on an online shopping webpage.

Commerce is going agentic

Lead the shift

[ OVERVIEW ]

Odinin's team of AI Agents enriches, writes, and structures your product content so it works everywhere customers discover products—Google, Meta, ChatGPT, and whatever comes next.

[ HOW IT WORKS ]

Meet your team of agents

Each agent has a specific job. Together, they take your product data from incomplete to discoverable - across every channel, at any scale.

Our Process

  • Product data that powers discovery


    The foundation for every channel. Complete, consistent, and structured for machines and humans.

    • Fills gaps through web research and image analysis, with built-in keyword research

    • Builds a product ontology for agentic commerce, not just taxonomy

    • Channel-specific attributes for marketplace and platform requirements

  • Production-ready copy, not drafts

    Writes copy using your rules and best practices - consistently, at scale.

    • Your rules encoded once and applied everywhere: tone, structure, format, mandatory statements

    • Clear, current, correct, compelling and consistent copy

    • Multi-channel: web, marketplaces, search, AI engines

  • Ready for every channel

    Prepares your content for Google, ChatGPT, marketplaces - wherever your customers discover products.

    • Maps content to each channel's specific requirements and formats

    • Google Merchant Center, Meta Catalog, OpenAI Product Feed, marketplace specs

    • AEO/GEO-ready: structured for AI search engines, not just traditional search

  • AI-assisted oversight at scale

    Multi-agent evals check every output against your rules. Flags exceptions for human review.

    • Evaluates every output against your rules - not spot-check sampling

    • Flags issues for human review so your team focuses on what matters

    • Continuous learning from corrections

  • Your team lead

    The lead looking at your product data, understands what's missing, and builds the plan - so your team doesn't have to.

    • Analyses your data and goals, decides what to do first

    • Sequences the work: enrich first if data gaps exist, then generate copy, then prepare for channels

    • Coordinates every agent so nothing falls through the cracks

    • Handles complexity at 100k SKUs - parallel execution, no manual batching

⤷ Work With Us

Enterprise-grade throughput

Built to process 10,000+ products | Every agent runs concurrently

[ Why Odinin ]

You've tried to solve this before.

Every approach works until your catalog hits scale. Here's what we hear from teams who've been through it.

  • Your team writes great copy for your top sellers. But with tens of thousands of SKUs, the long tail gets neglected. Quality varies by writer. Seasonal refreshes create bottlenecks. And agencies just shift the cost without solving the speed problem.

    With Odinin, every SKU gets the same depth, consistency, and SEO optimisation. Your team shifts from writing copy to approving it.

  • Your PIM is essential for managing product data. But storing attributes and activating them for discovery are two different jobs. Most PIM AI add-ons produce generic drafts with no enrichment, no channel-specific optimisation, and no way to learn from what performs.

    With Odinin, we sit alongside your PIM and turn structured data into production-ready content, optimised for every channel you sell through.

  • General AI tools can draft a product description. But every output needs manual review. There's no understanding of your brand rules, product taxonomy, or SEO requirements. And prompt engineering doesn't scale across 50,000 SKUs.

    With Odinin, purpose-built agents encode your brand voice, structure, and quality rules once, then apply them consistently across your entire catalogue.

  • General AI tools can draft a product description. But every output needs manual review. There's no understanding of your brand rules, product taxonomy, or SEO requirements. And prompt engineering doesn't scale across 50,000 SKUs.

    With Odinin, purpose-built agents encode your brand voice, structure, and quality rules once, then apply them consistently across your entire catalogue.