GAIO Tech's €1,000-a-Month Platform Tracks a Brand's Share of Voice in AI Chat

The Antwerp startup is betting that companies will pay to monitor and influence how ChatGPT, Claude, and Perplexity talk about them.

About GAIO Tech BV

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You ask the chatbot about a company. The answer is wrong. It cites a competitor, or an outdated product, or a blog post from a disgruntled former employee. For the person reading, the answer is just information. For the brand being misrepresented, it’s a small, silent crisis. This is the moment GAIO Tech is built to capture.

Founded in 2024, the Antwerp-based startup sells an AI-search optimization platform. It’s a dashboard that promises to show a brand how it’s being talked about across ChatGPT, Claude, Perplexity, and Gemini, and then to help it do something about it [GAIO Tech]. The company’s founding offer, priced at €1,000 a month, is called the Founding Member Program [Perplexity Sonar Pro Brief]. It’s a bet that marketing teams, once obsessed with Google’s first page, will now obsess over the first paragraph of an AI-generated answer.

The shift from SEO to GAIO

The company’s name is its thesis. GAIO stands for Generative AI Optimization, a methodology created by CEO Sophie Carr [GAIO Tech]. The company began as GAIO Marketing, a services firm, before rebranding to GAIO Tech in late 2025 to focus on a scalable software product [Perplexity Sonar Pro Brief]. The pivot reflects a broader anxiety in marketing departments: the rules of visibility are being rewritten. Traditional SEO was about links, keywords, and page rank. GAIO is about context, source authority, and the opaque reasoning of large language models.

The platform, according to the company, maps brand discussions, builds knowledge graphs, and identifies visibility gaps [Perplexity Sonar Pro Brief]. The goal is a practice they call “context engineering”,subtly influencing which sources and what framing AI systems use when they answer questions about a client [Perplexity Sonar Pro Brief]. It’s a meta-layer of reputation management, operating not on social media feeds or review sites, but inside the black box of conversational search.

The team behind the methodology

The founding trio brings together the methodology, the technical build, and the go-to-market push. Sophie Carr, the CEO, is a graduate of the Founder Institute accelerator and is credited with developing the GAIO framework [GAIO Tech, Perplexity Sonar Pro Brief]. CTO Adnan Özdemir, formerly of Square and Sony, built the platform [Perplexity Sonar Pro Brief]. William Frimout, listed as Chief Growth Officer, handles enterprise sales and go-to-market strategy [Perplexity Sonar Pro Brief]. The company is remote-first, with hubs in Antwerp and Barcelona [Perplexity Sonar Pro Brief].

Role Name Key Background
CEO & Founder Sophie Carr Creator of GAIO methodology; Founder Institute graduate [GAIO Tech, Perplexity Sonar Pro Brief]
CTO & Co-Founder Adnan Özdemir Formerly of Square and Sony; built the GAIO platform [Perplexity Sonar Pro Brief]
CGO & Founder William Frimout Enterprise sales and go-to-market focus [Perplexity Sonar Pro Brief]

The wedge into high-trust industries

While any brand might care about its AI portrayal, GAIO Tech is explicitly targeting sectors where accuracy is non-negotiable: finance and healthcare [GAIO Tech]. In these fields, a hallucinated statistic or a misattributed claim in an AI answer isn’t just a branding issue; it’s a liability. The company frames its work as building “AI Visibility Infrastructure” for these high-trust industries, where credibility and human oversight are paramount [GAIO Tech]. This focus provides a clearer pain point and a more defensible entry than selling generic brand monitoring.

The company’s own applied methodology, outlined in a blog post, gives a glimpse into the tactical work. It involves building a comprehensive SEO foundation, engineering content specifically for AI citation, optimizing structured data for knowledge graph inclusion, and then systematically monitoring “AI Share of Voice” across the major platforms [GAIO Tech]. It’s a full-stack approach to being understood by machines.

An unproven market and opaque traction

The ambition is clear, but the path is foggy. The primary risk for GAIO Tech is that it is selling a solution for a problem that is still forming. Enterprise budgeting cycles are long, and the tangible ROI of influencing AI chat answers remains largely theoretical. The company has announced a seed round, but the amount and lead investor are undisclosed [Crunchbase]. Its public traction is anchored to its €1,000-a-month founding program, not a list of named enterprise customers [Perplexity Sonar Pro Brief].

  • The novelty of the need. Marketing budgets are finite. Convincing a CMO to allocate significant funds away from proven channels toward an experimental “AI visibility” layer is a steep climb. The value proposition is compelling in theory but unproven at scale.
  • The moving target of AI. The underlying models and their sourcing behaviors are in constant flux. A strategy that works for ChatGPT’s current iteration may be obsolete in six months, requiring continuous adaptation from the GAIO platform.
  • The services-to-SaaS transition. The rebrand from GAIO Marketing to GAIO Tech suggests a pivot to product, but the DNA of a services business can linger. Scaling a sophisticated, consultative methodology into a self-serve software platform is a classic and difficult startup journey.

The company’s answer to these challenges appears to be focus and methodology. By concentrating on regulated industries with acute accuracy needs and by codifying its approach into a repeatable system, it aims to move from custom projects to a standardized, defensible product.

What to watch in the next twelve months

The coming year will be about proving that the wedge works. The key milestones will be less about feature launches and more about market validation. The first will be the announcement of a flagship customer in its target vertical,a named bank, insurer, or healthcare provider that is paying for the platform. The second will be clarity around its seed round: a disclosed amount and a lead investor would signal external validation of its thesis. Finally, the evolution of its pricing model beyond the founding-member offer will indicate how it plans to capture value as the market matures.

The product itself is a dashboard, a collection of graphs and alerts. But the cultural question it’s built to answer is deeper and stranger: in a world where more people get their facts from a conversational interface than from a list of blue links, what does it mean to have a reputation? GAIO Tech is betting that it means something you can now measure, and something you’ll pay to manage.

Sources

  1. [GAIO Tech, October 2025] What Is GAIO? Inside the System That Teaches AI to Understand Your Brand | https://gaiotech.ai/blog/what-is-gaio/
  2. [Perplexity Sonar Pro Brief] Research brief on GAIO Tech BV
  3. [GAIO Tech, March 2025] GAIO Marketing: The Future of AI Search | https://gaiotech.ai/blog/gaio-marketing-the-future-of-ai-search/
  4. [Crunchbase] Seed Round - Gaio DataOS | https://www.crunchbase.com/funding_round/gaio-seed--f3809212

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