Marketeam.ai announces the launch of its most recent AI marketing agent – ‘Daniel,’ the world’s first autonomous PPC & Campaign-Management Agent, designed to ingest real-time performance data, track competitors and trends, spark proactive campaign ideation, and execute full-funnel paid campaigns across major ad platforms. Unlike the AI tools built into ad platforms – whose incentives often drive higher spend – Daniel is engineered to optimize budgets, eliminate waste, and maximize every dollar. Daniel collaborates seamlessly with Marketeam.ai’s existing AI specialists – Maya, the AI Brand Analyst; Jane, the AI Content Marketing & SEO (AEO) Specialist; and Ella, the AI Social Media Expert – amplifying contextual intelligence and maximizing performance across every channel
Marketeam.ai unveiled Daniel, the newest member of its agentic Integrated Marketing Environment (IME), the world’s first ecosystem that fuses proprietary, purpose-built language models with a team of pre-trained autonomous AI agents. Operating inside this IME, Daniel plugs directly into a brand’s channels, tech stack, and human team, continuously fetching live performance signals, competitor moves, and trending market shifts to boost conversions while steadily reducing customer-acquisition costs (CAC).
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“Daniel has been the most sought-after addition to our lineup,” said Naama Manova-Twito, Co-Founder & CEO at Marketeam.ai. “Businesses pour huge budgets into agencies and freelancers, and in-platform AI often just urges you to spend more. Daniel flips that script: it delivers unprecedented transparency, pinpoints wasted resources, reallocates budgets into untapped opportunities, and, together with Maya, Ella, and Jane, rides emerging trends the moment they surface. The result is higher conversions, leaner budgets, and a sustained balance between organic growth and paid conversions.”
“Under the hood, Daniel takes tool-use to a new level,” added Sahar Millis, Co-Founder & CTO at Marketeam.ai. “It operates in a shared latent space where data from bids, queries, inventory, and sentiment aren’t treated as isolated signals – they’re fused into a dynamic representation of market context. Daniel uses that space to coordinate with Maya’s strategic priorities, Jane’s organic reach, and Ella’s social adoption, so its decisions reflect the full state of the brand’s ecosystem. Every action – adjusting a bid, shifting budget, rewriting copy – is evaluated via reward modeling tuned to long-term outcomes.”
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Daniel autonomously handles everything from keyword and audience research to creative generation and cross-channel budget allocation. By sharing real-time learnings with Maya, Jane and Ella inside the IME, Daniel ensures that strategic brand insights, organic content, and paid campaigns reinforce one another for compounding growth and measurable impact.
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