Nimt.ai launches AI agent to help companies win in AI search
As search behavior shifts from traditional search engines to AI models like ChatGPT, Claude, and Perplexity, Swedish company Nimt.ai has already helped businesses understand how they appear, are cited, and are recommended in AI search. Now the company is taking the next step by launching a powerful AI agent built on top of that data—one that carries out the work required to strengthen a brand's visibility.
Nimt.ai has made it possible for companies to track their AI visibility over time, understand which sources AI models trust, and see where competitors are gaining ground. With the new agent, the company adds a new layer to the platform: an operational layer that not only shows what should be done, but also analyzes, prioritizes, and produces what is needed to win in AI search.
We have already helped companies understand the shift from traditional search to AI search and given them visibility into how AI models actually perceive their brand. But insight is only half the job. The real value comes when you can turn data into action. With the agent, we are taking that step fully. Our users can now go from recommendations to execution within the same platform.
— Manuel Lemholt Berger, CEO of Nimt.ai
The agent works from the data already available in the customer's Nimt.ai project: prompts, cited sources, competitor movements, visibility gaps, and which domains AI models trust. Based on that, it can identify opportunities, prioritize the right actions, and create finished assets such as articles, comparison pages, press releases, LinkedIn content, Reddit posts, schema markup, technical improvement recommendations, site audits, new prompts, and much more.
This is not an agent that works blindly or simply generates generic content. It is built on a deep layer of real AI search data and can therefore produce far more accurate analyses, strategies, and outputs than standard generative tools. That makes it an extremely powerful agent, with real knowledge of how AI models reason, which signals they respond to, and what it actually takes to win visibility in AI search.
— Oliver Ekberg, CTO of Nimt.ai
For marketing teams and agencies, this makes one of the biggest practical challenges in the AI shift much easier to solve: turning insights into concrete action. With the agent, teams do not just get help understanding what should be done—they also gain a new kind of operational capacity that can keep work moving in the background.
For many teams, this will feel like getting new colleagues. Nimt's agents can keep working while the team is in other meetings, focused on something else, or asleep. That means marketing departments and agencies can get far more done without having to scale their organization at the same pace. That is also why the reaction from many who have seen the agent has simply been wow.
— Martin Bergström, CCO of Nimt.ai
This launch marks the next step for Nimt.ai: from helping companies measure and understand their AI visibility, to giving them an operational layer to act on it. As AI models play a bigger role in how people search for information, compare alternatives, and make decisions, it becomes an increasingly important competitive advantage not only to understand how you appear, but to be able to influence it quickly.
Contact
For more information, please contact:
Manuel Lemholt Berger
CEO & Co-founder, Nimt.ai
E: manuel@nimt.ai
M: +46 739 16 90 29
About Nimt.ai
Nimt.ai is a Swedish platform that helps companies understand, improve, and win in AI search. The platform shows how brands appear compared to competitors, which sources AI models cite, and where the biggest opportunities are to gain ground. With Nimt's agents, users can go from insight to action by creating the content, strategy, and technical improvements required to become the number one recommendation in AI search. Nimt.ai was founded by Manuel Lemholt Berger, Martin Bergström, and Oliver Ekberg.