Shopped replaces the patchwork of email, spreadsheets, portals, SharePoint, and legacy UIs with a governed workspace where AI agents do the heavy lifting and every action is auditable.
Your infrastructure, complete privacy. Zero LLM data retention · Private cluster · Enterprise governance
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January 2026 · Generated by Media Management Agent · Last updated: today
| Campaign | Strategy | ROAS | Action |
|---|---|---|---|
| Flea & Tick Topical — Category Capture | Conquesting | 4.2× | ← |
| Brand — Core Terms | Branded | 8.7× | |
| Grain-Free Kibble 12lb — Promo Support | Velocity | 1.1× |
Retail AI Search · 30-day cycle · Recommendations only · GEO Agent
Last updated: today
Visibility across AI-powered retail search results is moderate but uneven. Branded queries perform well, while high-volume category terms like "mountain bikes under 1000" and "electric bike accessories" show significant opportunity gaps. This audit establishes a 30-day baseline and identifies the highest-ROI actions for the next phase.
| Query | Volume | Visibility | Opportunity |
|---|---|---|---|
| mountain bikes under 1000 | 18,400 /mo | 28% | High |
| electric bike accessories | 12,100 /mo | 15% | High |
| bike helmets | 22,600 /mo | 34% | High |
| kids bikes | 15,800 /mo | 21% | High |
| road bike tires | 9,200 /mo | 52% | Medium |
| Term | Baseline | Current | Δ |
|---|---|---|---|
| mountain bikes under 1000 | 24% | 28% | +4% |
| electric bike accessories | 19% | 15% | −4% |
| bike helmets | 31% | 34% | +3% |
| kids bikes | 22% | 21% | −1% |
| road bike tires | 48% | 52% | +4% |
Retail AI Search · Ranked by estimated visibility impact · GEO Agent
Last updated: today
Five high-impact opportunities identified from the current share of voice audit. These are ranked by estimated visibility gain weighted against implementation effort. All recommendations are actionable within the current 30-day cycle and require no additional data access.
Three things keep tripping up even great teams.
POS, retail media, supply chain, trade promo—all in separate tools with separate logins and separate truths.
Sales sees one thing, marketing another, ecommerce a third. Everyone has context—no one has the full picture at once.
Ownership is unclear, approvals are informal, and by the time something gets done the window has closed.
Planning tools got smarter. Agents can pull data, run analyses, and draft recommendations faster than any analyst. That part's here.
What's still missing is the multiplayer layer—permissions, handoffs, shared context, and approval gates that let humans and agents work together without anyone going rogue.
Shopped is that layer.
Plug in your systems and files—retail media platforms, POS feeds, inventory data, spreadsheets, trade calendars. Shopped normalizes them into a shared context your whole team can reference.
Agents surface what matters, propose actions, explain their reasoning, and cite the data. Your team reviews, adjusts, and picks the path forward—together, with full visibility.
Assign owners, set approval gates, fire automations, and track outcomes. Every action has a name on it, an audit trail behind it, and a result you can measure.
Each one used to take days of emails and spreadsheets. Now it's a conversation with your agent.
Shopped is built for teams that need AI to be powerful and governed — where complete privacy isn't a feature, it's the foundation.
Your data is never used to train models. LLM calls run on a private cluster with zero retention. Inputs and outputs are yours alone.
Every agent action, every human approval, every data query — logged, timestamped, and attributable. Role-based permissions and gated write-back to live systems.
VPC deployment, API-first architecture, and exportable formats. No lock-in, and nothing leaves your perimeter without your say-so.
Get early access to Shopped and see how your commerce team can move faster—together.