Albert

Albert is a cloud-based autonomous AI platform for performance and brand marketers running paid media. It connects to your existing advertising stack and operates your campaigns directly, rather than just recommending changes. The focus is on cross-channel optimization across search, social, and programmatic so you can manage complex spend and targeting at machine speed.

The primary audience is medium to large B2C brands and the agencies or consultancies that serve them, especially those with substantial budgets and transactional volume to fuel machine learning. You start by integrating Albert with platforms like Google’s ad stack, Meta (Facebook/Instagram), YouTube, Bing, and Gmail, defining your goals, guardrails, and campaign scope, and supplying your creative assets. Albert then manages bids, budgets, and audiences within those constraints, while your team retains responsibility for strategy and creative direction.

Albert is genuinely agentic: according to their FAQ, it takes autonomous action instead of just surfacing recommendations, continuously optimizing bids, audiences, and cross-channel budget allocation based on real-time performance. It’s designed for ongoing campaigns where there’s a steady flow of data; burst campaigns are supported but work best alongside always-on activity so the system can keep learning. Dedicated Customer Success support is included for implementation and ongoing use, which should help teams that aren’t deeply technical.

There are clear boundaries to what Albert does. It is a paid media solution only (with Gmail as the only non-paid component) and does not define your marketing strategy or create ad creatives—you must set goals, tactics, and produce assets for Albert to optimize. It currently runs programmatic through Google Marketing Platform rather than arbitrary DSPs, and the interface is English-only, even though campaigns can target any geography or language. The product is more compatible with B2C brands that have sufficient scale and transaction volume; smaller advertisers or low-volume B2B funnels may not see the same benefits. On the data side, Albert states it only uses platform-level data from sources like Google and Meta, not your internal personal or sensitive data. Pricing is not publicly disclosed and is gated behind a form that asks for yearly budgets starting at $100k, so this is unlikely to be a fit for very small advertisers or teams looking for a self-serve, low-budget tool.