ReBo AI Visibility is a Brazilian firm founded by two executives who built their careers inside the financial industry, selling technology to asset managers, family offices, and banks. They now put that experience behind generative engine optimization (GEO), with one goal: get financial institutions found, understood, and cited by AI.
The best research in the financial industry deserves to be read, including by the machines that now sit between allocators and their questions. So we built a proprietary method that turns that research into content AI models find, understand, and cite, plus a framework that pinpoints the visibility level a firm has reached today.
ReBo AI Visibility is a company founded by Felipe Reusch and Julio Bozzi, specialized in AI Visibility, GEO and AI Search Optimization. The work is making the knowledge an institution already produces readable, understandable and citable by AI assistants.
The thesis fits in one sentence: we turn knowledge produced by humans into content that feeds the machines that influence humans. In practice that becomes four verbs behind every product and content decision: AI has to read, understand, cite and trust.
The work combines three fronts: the technical foundation of the site (server-rendered HTML, semantic hierarchy, structured data and AI crawlers allowed through), release of the existing archive, and a monthly cycle of transformation, distribution and measurement. The method sets out the seven phases; the framework says which maturity level an institution is on today.
Felipe Reusch, CEO, has over 10 years across asset management, technology and AI, including consulting for multinationals and executive roles at financial-market tech companies. Julio Bozzi, COO, is an economist trained at Insper with over 10 years in fintech and private markets.
CEO
Advised multinationals (Mercedes-Benz, Starbucks, Netflix, Caterpillar), then held executive roles at financial market technology companies. A full-stack developer, with 10+ years at the intersection of asset management, technology, and AI.
LinkedIn ↗
COO
Economist trained at Insper, a leading Brazilian business school, with a background in FP&A and fund operations. 10+ years in growth and enterprise sales across fintech and private markets in Europe, the US, and Latin America, specializing in go-to-market and distribution.
LinkedIn ↗Because the sector combines three rare conditions: it produces dense, original knowledge every month, it publishes that knowledge in formats AI cannot read, and it operates under regulation that demands editorial care. It is where the problem is most visible and where the founders' background pays most.
For years, growth in the financial industry ran on one channel: outbound. Lead lists, cold calls, cold emails, and enormous effort spent chasing attention from people who might not have been looking at all. That world has shifted. When an allocator wants to know where the market is heading today, they don't open Google or wait for a call. They ask an AI.
We built ReBo to change that math: take the research the financial industry already produces and make it readable, understood, and cited by AI models, turning real authority into digital presence, and presence into pipeline.
Want to talk? Book a call or start by understanding what AI Visibility is.
Every decision starts from how a model will retrieve the content, not from how a human will react to an ad. That changes the deliverable: instead of a campaign and reach, a page built to be cited and a monthly citation-rate report measured against a baseline.
Three concrete differences. First, the technical criterion: no site builders and no JavaScript-dependent content on a page that needs to be cited, because AI crawlers do not execute JS. Second, the raw material: we do not create content from scratch, we repackage what the institution already produces, which is what keeps the effort on the client's team low. Third, the scoreboard: how many AI answers cite the brand, measured month over month against the starting point. Reach and impressions stay out of it.
And one thing we do not do: promise a position, a deadline or a guaranteed citation in AI answers. No generative engine offers that, and anyone promising it is selling something else. What you contract is method and measurement. The service sets out the monthly scope.
Felipe Reusch, CEO, advised multinationals such as Mercedes-Benz, Starbucks, Netflix, and Caterpillar, then held executive roles at financial market technology companies. He is a full-stack developer with more than 10 years across asset management, technology, and AI. Julio Bozzi, COO, is an economist trained at Insper, a leading Brazilian business school, with a background in FP&A and fund operations and more than 10 years in growth and enterprise sales across fintech and private markets in Europe, the US, and Latin America.
No. ReBo runs a firm's full communications program (brand, website, content, social, newsletter, campaigns), but against a different standard: every decision starts with how AI will read, understand, cite, and trust that content. Think of it as a communications agency built for generative search.
Because the sector combines three rare conditions: it produces dense, original knowledge every month, it publishes that knowledge in formats AI cannot read, and it operates under regulation that demands editorial care. Solving that takes an understanding of asset management, not only of content. The focus is an entry point, not a limit: the same method serves consultancies, professional firms, publishers and personal brands.
Our focus is the Brazilian financial market, where the race for AI citations is still largely uncontested and Portuguese-language content faces almost no structured competition. Both founders have operating experience in Europe, the US, and Latin America.
By email at contact@rebovisibility.com, or through the contact page. The first call includes a live mini-diagnostic at no cost. The full diagnostic, with report, scorecard and citation baseline, is contracted separately.