AI search is becoming a brand visibility problem. Trendos, an AI search visibility platform founded in March 2026, helps brands understand and optimize how they appear across large language models. Its CEO and Co-Founder, Gintare Rimolaityte, is building the company in Vilnius, Lithuania, with backing from Tesonet.
The company arrives as consumers move from scrolling through links on Google to asking LLMs directly. That shift changes the question brands need to answer: not only whether they appear in search results, but how AI systems describe them when consumers ask for recommendations, comparisons, or information.
Trendos was created to measure that new layer of discovery. The platform captures the real answers and ads shown inside AI environments through large-scale scraping of LLM sessions, then analyzes the results and turns them into structured data about brand visibility and competitor activity.
From SEO Reports to AI Visibility
Rimolaityte says many existing tools felt like SEO platforms with a bolted-on AI feature. That approach leaves brands looking at familiar search metrics while consumers increasingly receive answers generated inside AI environments.
Few purpose-built tools for AI visibility existed, and those that did were priced for enterprise customers only. Trendos takes aim at that gap by focusing on how brands appear across LLMs and by presenting the information as insights that companies can use to understand their position.
Its work also covers the advertising shown within AI environments, not only the answers themselves. That combination gives brands a view of both organic visibility and competitor activity in systems that do not behave like traditional search engines. The old dashboard still exists, of course. It simply has more ways to be wrong.
Rimolaityte believes every brand deserves to know how it is showing up, regardless of size. Trendos therefore frames AI visibility as a practical need for brands, not a specialist concern reserved for companies with large enterprise budgets.
A Founder Shaped by Commerce and Product Work
Rimolaityte gained early experience at Oxylabs in 2020, serving as Business Development Manager and Head of Commerce. From 2022 until 2025, she served as CEO of JumpTask, an engagement platform.
Before co-founding Trendos in 2026, she worked briefly as a Product Manager at Adment. That path connects business development, company leadership, and product work—an unusually relevant mix for a platform built to translate technical AI behavior into information brands can use.
Trendos was founded in March 2026 in Vilnius, where Rimolaityte lives and works. The company is backed by Tesonet, a venture builder associated with Nord Security, Surfshark, and Hostinger.
The company’s central challenge is easy to state and difficult to measure: AI systems can show different answers and ads inside different sessions, making brand visibility less stable than a traditional list of search links. Trendos addresses that problem by collecting those sessions at scale and organizing the results into structured insights.
That approach also explains why the company focuses on competitor activity. A brand cannot understand its position by studying its own mentions alone; it needs to see what AI environments show alongside competing brands and how those answers shape discovery.
The interview, published on October 16, 2026, focuses on the market change behind Trendos and the limits of older search tools. One question put to Rimolaityte captures the company’s premise: "What changes were you seeing in how consumers discover brands through AI that convinced you there was a need for Trendos, and what did you believe existing SEO and AI visibility platforms were missing?"
Trendos is still a young company, founded only in March 2026, but its target is already clear. As consumers ask LLMs instead of scrolling through Google links, brands need evidence of what those systems say, which ads they show, and how competitors appear beside them.
AI search will not make visibility simpler. It will make the answer harder to inspect—so tools built to inspect it may become less optional.
