Great research, locked in a PDF
The format is the problem: your company publishes solid analysis in PDFs that AI systems can't parse. As far as they're concerned, it doesn't exist.
77%
of Brazilians use or have used an AI platform [Bain & Company · Feb 2026]
45%
of US consumers use AI to choose a local business, up from 6% a year earlier [BrightLocal · 2026]
19.8%
of US businesses used AI in the two weeks before the survey [U.S. Census Bureau · May 2026]
The same content, through the eyes of AI
Drag the slider. On the left is what AI reads in your monthly letter today. On the right is what it reads after ReBo.
← drag to compare →
Where does your firm sit on the AI Visibility framework?
Most firms are here ↓
Invisible to AI
Everything sits in PDFs. No visibility strategy. AI systems don't know the firm exists.
Partially Discoverable
Some content is reachable: a corporate site, a few posts. AI systems find fragments, but never enough depth to cite.
AI Friendly
Structured, semantic content published on a steady cadence. AI systems read it, understand it, and start citing it.
AI Reference
Cited routinely in answers. Recognized digital authority: AI systems name the firm before its competitors.
What separates Level 1 from Level 4 is method. ReBo walks that path with your company.
Dig into the 4 levels of AI Visibility and the ReBo method.
Six workstreams that build visibility.
We run your firm's entire communications program: brand, content, social, website, newsletter, campaigns, sales materials, and distribution, with AI Visibility at the center. From assessment to monitoring, each deliverable builds on the last.
"Visibility is a one-and-done project"
We track citation rate and adjust courseContinuous Monitoring
"Posting it on our site is enough"
Content on the channels AI systems readStrategic Distribution
"Our PDFs already do the job"
PDFs become live, citable pagesData Transformation
"Content is just marketing"
Thought leadership AI cites and repeatsAuthority Content
"AI can read any website"
Structure AI crawlers understandTechnical Optimization
"No one knows what AI says about us"
We map where AI cites your firmAI Visibility Assessment
The six workstreams are one solution. We run them together because, on its own, no single workstream moves your citation rate. See what ReBo delivers in each workstream, the full communications scope, and how we measure results.
From content to AI citation
The research you already produce, shipped in a format the bots, and the people who trust them, can actually use.
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PDF
Content goes in
Your monthly letter, reports, and commentary, exactly as they are today. No rework for your team.
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<h1> summary theses FAQ JSON-LD
Extraction and structuring
We break the document into semantic blocks: hierarchy, executive summary, theses, FAQ, and structured data.
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AI-friendly publishing
Those blocks become a clean, structured, indexable web page, built for machines to read and people to trust.
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ChatGPT Perplexity Gemini Claude"…according to your firm's analysis [1]"
Cited by AI
AI systems find, understand, and cite your firm in the answers your prospects read.
All of this work is carried out by the six delivery workstreams that make up the ReBo method. See the method in detail.
"Whoever feeds AI best today influences more people tomorrow."
Why now? AI systems are picking their reference sources on investing in Brazil as we speak. That map hardens fast, and whoever gets there first becomes the name every other answer repeats. The window is open, but not for long.
Questions we get before the first call
How is ReBo's work organized?
Around two structures, and only two: six delivery workstreams that describe the work, diagnostic, technical optimization, data transformation, authority content, strategic distribution, and continuous monitoring, and four AI Visibility levels that measure the progress, from Level 1 (Invisible to AI) to Level 4 (AI Reference). One axis is execution, the other is measurement. Everything ReBo executes happens inside one of the six workstreams.
What is AI Visibility?
AI Visibility is a brand's ability to be found, understood, and cited by AI assistants like ChatGPT, Perplexity, Gemini, Claude, and Copilot when people ask questions about its market. It rests on three things: content AI crawlers can read, semantic structure, and verifiable authority.
Why can't AI systems read financial institutions' PDFs?
A PDF has no semantic structure. Headings, sections, data, and questions all flatten into a format built for printing. AI systems favor structured HTML with a clear hierarchy and marked-up data.
What is GEO (Generative Engine Optimization)?
GEO means optimizing content for generative engines. Instead of fighting for a slot on a results page with dozens of links, your firm competes for the 3 to 5 citations inside the answer itself. That takes semantic structure, factual density, and verifiable authorship.
What does ReBo deliver in practice?
We start from the letters and reports your firm already publishes. You get AI-friendly pages built on structured HTML and structured data, original articles, an FAQ and a glossary, derived posts for LinkedIn, X, Instagram, Reddit, and your newsletter, plus a monthly citation report.
Will my team have to produce new content?
No. The work starts from what your firm already produces. ReBo handles extraction, structuring, publishing, and distribution. Your team just signs off before anything goes live, inside a review window we agree on at kickoff.
How do I know which AI Visibility level my firm is at?
Run the questions your clients ask AI assistants and record who shows up in the answers. ReBo uses a 4-level framework, from Level 1 (Invisible to AI) through Level 4 (AI Reference). We read your current level on the first call, at no cost.