MarkeTeam.ai uses AI agents to help marketers cut costs, improve strategy and focus on real results—not just content.
Naama Manova-Twito, founder & CEO of MarkeTeam.ai, didn’t start in ad tech—or even digital.
Her roots were in old-school marketing. So, when digital technology emerged, it felt like disruption rather than progress. Surrounded by teens casually tossing around acronyms like CPM and CPA, she spent two years quietly Googling to keep up.
In 2017, she launched an agency to help mid-market brands. When the pandemic hit, business boomed, but a core issue remained. If there’s no budget to execute the strategy, even the best marketer can’t move the needle.
That friction sparked something bigger. In 2020, Twito and her team began building what would become MarkeTeam.ai, which she described as “not just another AI content tool, but a platform to replicate how experienced marketers think.”
Fast-forward to today: MarkeTeam.ai runs on its own LLMs and a network of specialized agents within what Twito called an “Integrated Marketing Environment.” Instead of prompting AI linearly, marketers work alongside autonomous agents that pull in real-time data from across the stack—media trends, cultural moments, campaign performance—and make informed decisions.
Building a product like this doesn’t happen overnight—and Twito is the first to admit it. “It started as hell,” she laughed.
The Painful Birth of a Smart Platform
It started with manually analyzing what worked—like which ads performed best or which content got more engagement. Over time, that grew into a closed-loop learning system. Each brand on the platform gets its own isolated data environment, and the agents continuously learn from every input, edit and result.
Take their SEO agent, Jane, for example. She doesn’t just spit out generic keyword suggestions; she analyzes hundreds of potential topics, then narrows them down to the top five based on real-time search trends and competition.
Once a user selects one, Jane conducts the topic and keyword research, outlines the content and even adjusts it for Search Engine Results Page (SERP) features. If a user edits or discards a draft, the system learns from the changes. Performance data then closes the loop, showing which blog posts converted, which ads drove clicks and why.
That feedback engine is powered not just by first-party brand data but also by thoughtful integrations. The platform connects directly to a brand’s owned channels—social, web, analytics—and layers in second- and third-party data sources to enhance decision-making. Brands don’t even need separate subscriptions to those tools since MarkeTeam.ai’s platform handles licensing.
That’s how the agents can go beyond content generation and into real strategic guidance, suggesting not just what to say but whether to run a 30% Mother’s Day discount ad based on product demand, competitive pricing and market trends.
“We’re not trying to win the content generation race,” Twito said. “There are already great tools for that.”
Instead, she sees the actual value in upstream thinking—the thoughtful suggestions that help marketers make better decisions before they even write their first word. It’s not just AI that executes. It’s AI that understands context, learns over time and becomes a partner in strategic growth.
How One Brand Learned to Stop Competing With Itself
Over the past couple of years, new shiny content tools have flooded advertising—text generators, image creators and video producers. And while content is undeniably a huge part of the equation, it’s only the final step in a much larger funnel. As Twito put it, “Everything is about the content … but it’s the end of the funnel.”
The real opportunity, she says, is spotting trends early, knowing where to spend, and staying flexible in a constantly shifting market.
Twito’s team is aiming for a comprehensive omnichannel solution designed to reduce customer acquisition costs and optimize budget allocation across campaigns. MarkeTeam.ai uses AI agents trained to excel in social media, SEO, influencer marketing and more.
“We look at the brand,” she said. “And we do whatever is best for the brand.”
For example, MarkeTeam.ai spotted paid campaigns cannibalizing organic performance for one brand. After integrating with the brand’s stack, the AI quickly identified overlapping efforts—instances where paid search was driving clicks that the brand was already winning through organic means.
“Let’s clean up these campaigns,” the agent suggested, recommending a temporary pause to test the impact. The result? A clearer view of how organic and paid efforts interacted and a road map for smarter spending moving forward.
“Within an hour, it knows what to do,” Twito said. “Then it’ll suggest a cleanup—shut this off, pause that, and test how it affects other channels.”
MarkeTeam.ai’s Playbook for AI Efficiency
Most AI tools pitch you on creativity. Twito’s pitch for MarkeTeam.ai? Results. “Everyone says, ‘Just start,’ but I say start where you’re bleeding money or time,” she said.
Her team works backward from that friction point—auditing existing workflows, spending and outcomes, then assigning KPIs to AI agents like you would a junior hire.
“We don’t want to be another fun toy. We want performance reviews,” she added. The goal: Give brands a scalable team that works alongside humans and delivers clear ROI, not just shiny content.
That discipline starts from the top. With backing from Ocean Azul and a board of veteran marketers—including ex-Dunkin’ CMO Tony Weisman and execs from IPG and Kellogg—the company stays grounded in long-term brand strategy. That focus led to their most surprising growth moves: teaming up with Israel’s largest bank to offer AI-powered marketing to small businesses..
The result? Thousands of sign-ups in days, with everyone from grandmas to gardeners building content, and a 34% spike in new bank accounts to access the tool.