NarrativAIThe content engine
for agentic commerce
Every turn of the conversation, your agent needs the right context. Up to date, personalized, authentic. We take customer and conversation signals and return content worth citing, context that drives outcomes, and attribution that proves it.
Why now
Every major retailer is building AI agents. But an agent is only as good as the context it gets on each turn of the conversation.
Agents need better context
Rufus drove $10B in incremental sales. Mylow doubled conversion. These agents work, but they're only as good as the content and context they can draw on each turn.
Authentic content drives trust
Your agent can describe your products. It can't cite independent reviews or real comparisons. Not without licensed third-party content in the context window. That's the trust gap.
No one measures what works
$166B retail media market with no attribution for AI. Which content in the context actually drove the outcome? Brands, creators, and merchants all need that answer.
What we do
Two sides of the same problem. Merchants need great context for their agents. Creators need to get paid when their content drives outcomes.
For merchants
- Fresh, licensed content delivered into your agent's context every turn
- Merchandising teams control what the agent draws on. No engineering required.
- See which content in the context actually drove the outcome
For content providers
- Your content in the context window of the agents that matter
- Attribution through OpenAttribution. Know when your content drove a sale.
- Get paid based on actual impact, not impressions
Real measurement. Fair economics. Infrastructure that works whether the agent is yours or someone else's.
The platform
Three layers that turn every agent conversation into a personalized, measurable commerce experience.
ContentMix
Context delivery
One API call per turn. We take the customer query, conversation history, and your merchandising rules, then return the right content for the context window. REST and MCP.
Content Mixing Board
Merchandising control
No-code control over what goes into the agent's context. Source weighting, brand alignment, category rules, seasonal adjustments. Preview before deploying.
Attribution Engine
Measurement
Which content in the context drove the outcome? Multi-touch attribution across retrieval, citation, and engagement. Prove ROI. Pay creators fairly. Built on OpenAttribution.
Every turn of the conversation
Why not build it yourself?
You could build a RAG pipeline. The hard parts are everything around it.
Content supply
Licensed relationships with publishers and creators. You'd start from zero.
Per-turn personalization
Customer context, conversation signals, merchandising rules. Every turn.
Attribution at scale
Multi-touch influence tracking across conversations. Our core IP.
Licensing compliance
RSL-compliant. Content rights, freshness, quality scoring handled.
Own your agent
Some companies want to help you optimize for someone else's AI. We think that's backwards.
The retailers that win will own their agent and its context. We give you the engine that makes every conversation personalized, grounded in authentic content, and measurable.
The demand-side platform for agentic commerce. Not another marketplace. Not another GEO tool.
See it work in 6 weeks
Start with a proof of concept. 10% of traffic, real results.
Integration
Connect to your agent. Configure content sources. Set up the Mixing Board with your merchandising rules.
Live testing
10% traffic allocation. Real conversations, real context. Tune the mix. Weekly check-ins.
Results
Attribution data. Conversion lift. Context quality scores. Go/no-go backed by real numbers.
Ready to see it work?
Design partners get first-mover advantage, roadmap input, and preferential pricing.
Schedule a conversation