Getting noticed online used to mean mastering Google search, buying ads and building a presence on social media. Now companies face another challenge: figuring out how to appear in answers generated by ChatGPT, Claude, Perplexity and Google’s AI tools — all while the algorithms behind traditional search and social media continue to change.
Mickey Haslavsky. 'I agents make it possible to monitor multiple platforms continuously, test where opportunities are emerging and act while those opportunities still matter'
(Photo: enso)
The company has raised $15 million in a Series A funding round led by MoreTech Ventures, with participation from existing investor NFX as well as Phenomen VC and Gil Hirsch. The round brings enso’s total funding to $23 million.
Founded in 2024 by Mickey Haslavsky, a co-founder of RapidAPI, enso develops AI systems designed to continuously experiment with ways of getting companies in front of potential customers.
The premise is straightforward: Instead of having marketing teams periodically study what works on Google, LinkedIn or newer AI services, software agents can monitor those platforms, run experiments and adapt as the rules change.
That has become increasingly important as the way people find businesses and products shifts. A potential customer might once have typed a query into Google and clicked through a list of links. Today, that same person might ask ChatGPT or Perplexity for recommendations and receive a synthesized answer naming only a handful of companies.
That creates a new question for businesses: How do you become one of the companies an AI system mentions?
Enso is trying to answer questions like that experimentally. Its agents examine which companies and sources appear in response to relevant queries, test changes in content and distribution and measure whether those changes affect visibility.
The approach extends beyond AI search. Enso says its systems work across traditional search, sales outreach, online communities, newsletters and social media.
Unlike a conventional software product that customers simply buy and operate themselves, enso also places people inside the process. A forward-deployed engineer and marketer work with each customer to connect the AI agents to the company’s existing marketing and sales operations.
The company says marketers remain responsible for strategy, brand guidelines and deciding which approaches can be used, while agents take on the repetitive work of monitoring platforms, running tests and executing campaigns. Sensitive or irreversible decisions remain under human control.
Enso currently works with companies including Papaya Global, MyHeritage, Natural Intelligence, Winn AI and Israel Canada.
Haslavsky calls the approach “Agentic Growth Hacking,” a term he coined and is also using as the title of a forthcoming book. The company publishes research from its experiments, including those that fail, and maintains open-source reference tools.
The broader idea is that marketing is becoming less about finding a single successful formula and more about constantly adapting to systems that themselves are constantly changing.
“Marketing teams can spend months building a strategy around channels that change before they see results,” Haslavsky said. “AI agents make it possible to monitor multiple platforms continuously, test where opportunities are emerging and act while those opportunities still matter.”
MoreTech Ventures sees that uncertainty as part of the opportunity.
“The newest growth channels often have no playbook, and the platforms behind them are changing faster than teams can adapt,” said Zack Keinan, co-founder and general partner at MoreTech Ventures.
For enso, the $15 million round is ultimately a bet on a larger shift: As algorithms and AI systems play a growing role in deciding which companies people discover, businesses may increasingly use AI systems of their own to figure out how to get noticed.