GTM engineers, brand tech managers, and entire account teams plug into one shared context layer for your whole 3P operation — Amazon Ads, Seller Central, listings, and brand knowledge — and work from connected data in whatever surface they already use.
No more rebuilding context per person or per tool.
Signal → diagnosis → recommendation → action — with humans in control.
The 3P landscape is fragmented across Amazon Ads, Seller Central, listings, attribution tools, spreadsheets, and tribal knowledge — so every decision starts slow.
Answering “why did sales drop this week?” means manual digging across ads, listings, inventory, pricing, and rank.
Data lives in different tools, making it hard to see what changed, why, and what to do next.
Operators know what to check — but the process is repetitive, slow, and dependent on individual memory.
Most AI tools are point solutions, not a connected operating layer tied to your actual account data.
Atlas isn't a dashboard for one person — it's infrastructure your whole team connects to. Same account data, same brand guardrails, same operator memory — whether you're in the Atlas UI, Claude with MCP, or your own agent stack.
Connect Amazon Ads, Seller Central, and brand knowledge via MCP/API. Expose live account context to agents, automations, and internal tools — without middleware or one-off integrations per client.
One data layer, many surfaces. Build once, deploy across accounts.
Set guardrails, ROAS targets, compliance rules, and operator memory once. Every workflow — diagnosis, reporting, creative review — inherits that context automatically. No re-briefing AI on every session.
Brand knowledge compounds. Corrections stick. Onboarding gets faster.
Ask in plain language, run reusable optimization skills, and push outputs to Sheets or client comms. New hires inherit accumulated context instead of rebuilding tribal knowledge from scratch.
One question → connected answer. Insight → drafted action, human approves.
Atlas connects your 3P data once, then lets GTM engineers, brand tech managers, and account operators pull from the same live context — in the dashboard, via MCP, or through reusable skills — with every action under human approval.
Atlas shortens the distance between something changing in your account and you doing something about it.
Link ads, Seller Central, listings, and brand knowledge into one data layer.
AI workflows find what changed and why — sales drops, CTR declines, ACOS drivers.
Get prioritized optimizations — the top moves before your next client call.
Apply changes with human approval, then keep monitoring continuously.
From fragmented data to one operating layer
Connected data, AI workflows, and faster optimization — in one place.
Structured access to Amazon Ads, Seller Central, listings, and brand knowledge — usable by dashboards and AI agents alike.
Ask about your account in plain language. Atlas pulls live data and answers — why sales dropped, which campaigns drove ACOS up, what to do next.
Reusable workflows: sales-drop diagnosis, wasted-spend, negative keywords, budget shifts, creative fatigue, and weekly client reports.
Continuous monitoring for TACOS spikes, revenue drops, and CTR declines against a rolling baseline — so you optimize before it costs you.
Guardrails, targets, and hard-won learnings applied automatically to every analysis — so AI answers stay on-brand and account-specific.
Reach the same connected intelligence from the Atlas dashboard or your preferred AI agent — meeting operators where they already work.
Serious brands only. 6-8 figure revenue. Amazon-first or omnichannel.
Connected data and AI workflows. You retain control. Atlas speeds up the work.
No spam. No fluff. Qualified leads only.
Where 3P data, brand context, and AI workflows live in one surface.
See It In Action