A practitioner's guide to AI agents that execute real marketing work — covering 15 production-grade skills for paid media, SEO, GEO, AI search visibility, creative, content, and operations.
There are three architectures for connecting AI agents to marketing platforms: direct API/SDK, the Model Context Protocol, and native integrations. Here's how they compare across the eight most critical platforms in your stack.
We built the context layer that turns a general AI agent into a marketing expert. Chat to launch campaigns instantly, build workflows to automate content, and deploy AI agents that optimize 24/7— for paid, owned, and earned media across every channel.
Most marketing teams use specialized tools for ads, content, analytics, reporting, and compliance. Platforms that automate everything exist now—but most don't excel across marketing and operations. Here's what does.
Map what people care about right now by scanning Reddit conversations and rising search trends—then move on content and paid opportunities before everyone else realizes they're there.
Marketing team automated cross-platform reporting from GA4, Meta, Google Ads, and TikTok—and accelerated time to create, setup, and launch campaigns by 30x.
Meta advertising shouldn't require a PhD in Meta advertising. Whether you're launching your first campaign with confidence or amplifying your team's capacity to take on more clients, AI agents handle the complexity.
