Introducing Perpetua's MCP

The biggest questions brands are trying to answer about their growth are increasingly being answered using AI. Operators, analysts, and business leaders open Claude or ChatGPT to make sense of what's happening across their business, weigh trade-offs, and decide where their next investments should go. AI agents have become the place where the scattered parts of a business get pulled together and analyzed to make decisions about what happens next.

These agents represent a meaningful shift in how advertisers think about growth and make decisions about where to invest.

The decisions that grow a business rarely focus on one part of the business. The optimal place to put the next dollar depends on margins, inventory, pricing, and how the competitive field is moving. But no single system contains all of that context. The operator still has to bring the pieces together and connect them manually to work through the decision.

Retail media is one of the biggest inputs to those decisions and to your brand’s growth. It shapes what a brand sells, who discovers it, and where it's winning or losing ground. Yet it's been one of the hardest inputs to bring into those conversations with any real understanding. An operator can export a report and give it to their agent, but the numbers don’t tell the full story. The agent sees the performance without the context that makes it useful.

Perpetua’s MCP brings that missing retail media context into the conversation, so your AI can understand how your advertising is performing, where you're gaining or losing ground, and what that means for your broader growth decisions.

What is Perpetua’s Model Context Protocol (MCP)?

Perpetua’s MCP is a direct connection between your Perpetua account and the AI tools you already work in, including Claude and ChatGPT. Instead of exporting reports or routing your data through a third-party connector, your AI connects directly to your Perpetua account, bringing the data and context behind your retail media into the conversation.

Your agent sees your performance in the context of how your account is actually set up: your goals, your account structure, and the measurement that shows whether your advertising is driving growth or just holding steady. With that context available, your AI can understand what’s working, what’s not, and what it means for the business when a growth question comes up.

Ask smarter growth questions

With Perpetua connected, your agent can work through the same growth questions your team is already asking, with retail media as part of the answer.

You can ask where to put your next dollar and get an answer that considers how your account is structured, where your spend already lives, and how it's performing. Instead of looking at performance numbers in isolation, your agent can reason about the choices in the context of your own account. You can look at how your products are performing across search terms and see where your visibility is strong, where you're losing ground, and where there's an opportunity to compete.

The specific datasets behind those answers, including your Share of Voice, Return on Consumer, and performance data, give your agent the context it needs to understand what’s happening in your retail media and why it matters for your growth.

Implement recommendations directly in Perpetua

When your agent surfaces an opportunity worth acting on, you can turn that insight into a change in Perpetua. It might identify a category that's being over-funded, a set of high-intent terms where you have an opportunity to grow your presence, or a shift in where you're winning share.

For example, let's say you're launching a new product and deciding where to invest to establish it in the category. Your agent can use Perpetua's Share of Voice data to identify high-intent search terms where demand exists but competitors have limited share, while the biggest category terms are dominated by incumbents. It can recommend concentrating your launch budget where there's an opportunity to establish visibility, giving you a concrete action to review and implement in Perpetua. From there, Perpetua's optimization engine handles the ongoing optimization.

The result is a connected loop: your agent can reason about your retail media intelligence alongside the broader business, and Perpetua can put the resulting advertising decisions into practice and continue optimizing them.

Bring retail media into the conversation

For advertisers, the questions you're working through in AI increasingly span the whole business: where to invest, how to grow, what to prioritize, and where the next opportunity is opening. Retail media plays a role in those decisions. The challenge is giving your AI the context it needs to understand what’s happening in your advertising and how it connects to the broader business.

Perpetua’s MCP brings that context directly into the conversation, so your agent can work with your retail media performance, goals, Share of Voice, and measurement alongside the other inputs shaping your growth decisions.

To learn more about Perpetua’s MCP and how it can help you grow on Amazon, contact us at hello@perpetua.io.