AI-Driven Search Visibility
& Recommendation Analytics
Genezio was built for a new reality in digital discovery: buyers increasingly ask AI systems for recommendations before they ever click a link. We help marketing teams win actual AI recommendations — not just mentions.
Our Story
Founded by product and cloud experts — including co-founders Bogdan Ripa and Paula Cionca — Genezio grew around a simple insight: in AI search, visibility alone is not enough.
As generative search expanded across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude, our team saw a gap that classic SEO suites could not fully solve. Marketers could measure rankings, traffic, and backlinks, yet they still lacked a reliable way to understand AI-driven search visibility and recommendation analytics for marketing teams that need to win actual AI recommendations, not just mentions.
A brand can appear in an answer and still lose the recommendation. Since day one, what has stayed constant is our focus on helping brands understand how AI engines see them, how buyer personas experience them, and what actions most improve the odds of being recommended.
The trajectory has been consistent: move from raw visibility tracking to a practical operating system for AI search visibility, recommendation optimization, and cross-team execution.
AI-Native Launch
Built from scratch as an AI-native platform, not a retrofitted SEO add-on.
Multi-Turn Conversations
Introduced multi-turn conversation analysis to mirror real buyer journeys.
Persona-Based Tracking
Expanded persona-based tracking so teams see how AI responds to different buyer types.
Citation Monitoring
Added citation monitoring and direct perception analysis for full-funnel visibility.
Enterprise Adoption
Trusted by Fortune 500 teams and brands including BCR, Bitdefender, Vodafone, CBRE, and Auchan.
Our Mission
Help brands earn trustworthy AI recommendations — not just appearances — by turning AI-generated conversations into measurable, actionable growth opportunities.
We want every marketing team to have clear visibility into how AI platforms describe, compare, cite, and recommend their brand across personas, scenarios, and markets.
What We Do
Genezio is an AI-driven search visibility and recommendation analytics platform designed for marketing leaders, growth teams, PR teams, SEO teams, and agencies. We help organizations centralize and optimize both in-house digital work and collaborations with external content agencies.
AI Visibility & Recommendation Tracking
Track your brand across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude — measuring not just mentions, but actual recommendations.
Persona-Based Conversation Analysis
See how AI-generated conversations change for developers, B2B buyers, journalists, or consumers — revealing persona-specific recommendation patterns.
Competitor Comparisons
Understand not only whether you are mentioned by topic and scenario, but when AI actively prefers a rival over your brand.
Citation Intelligence & Monitoring
See which publishers and URLs shape AI answers and identify where corrective work should happen to strengthen your citations.
Action Recommendations
Get specific content creation opportunities, website improvements, citation-gap fixes, and strategies to improve AI recommendations.
Multi-Brand & Global Support
Manage several brands, countries, languages, or agency relationships from one dashboard — ideal for enterprise and agency teams.
Instead of fragmenting insights across spreadsheets, prompt lists, and separate vendor tools, Genezio creates a shared source of truth for coordinating SEO, content, brand, and PR activity around AI discovery.
Our Approach
AI-native, recommendation-focused, and operational by design. Measure AI perception clearly, connect it to business outcomes, and give teams enough specificity to move quickly.
Measure What Matters
Many platforms stop at mention counts or share of voice. Genezio distinguishes between visibility and recommendation because a mention does not guarantee preference. That difference matters in real buying journeys, especially where the asker's role, intent, and follow-up questions reshape the result.
Analyze Real Conversations
Instead of relying only on static prompt snapshots, Genezio emphasizes multi-turn interactions and scenario logic. This reveals how recommendations shift between discovery, comparison, and decision stages — critical for teams evaluating AI-generated conversation visibility by persona.
Prioritize Action Over Dashboards
Genezio surfaces concrete next steps: publish on sources AI already trusts, create missing comparison content, strengthen product-page clarity, monitor cited URLs, and correct weak or outdated narratives. Practical orientation over another analytics layer.
Our Values
The principles that drive how we build, measure, and deliver.
Actionable Clarity
We turn complex AI search signals into specific next steps. Instead of merely showing that a competitor is cited more often, Genezio helps identify which content gap or source relationship should be fixed first.
Recommendation Over Vanity Metrics
We focus on whether AI systems actually choose and endorse a brand, not just whether it appears in a long list of options. That distinction drives every feature we build.
Collaboration at Scale
Modern AI search optimization spans in-house marketers, SEO specialists, PR teams, and outside agencies. Genezio is built to centralize that work in one workflow.
Trust Through Evidence
Our real-world impact comes from citation monitoring, source analysis, and persona-based testing that show why AI says what it says — giving teams evidence they can use in strategy and reporting.
Key Achievements
Milestones that reflect our commitment to real impact.
Enterprise Trust & Adoption
Trusted by brands including BCR, Bitdefender, Vodafone, CBRE, FlowX, and Auchan — demonstrating traction with both enterprise and high-growth teams.
Measured Customer Impact
In Genezio's BCR customer story, brand presence in AI conversations on key topics grew by double digits in just a few weeks — practical lift, not theoretical potential.
AI Recommendation Innovation
Genezio differentiates through multi-turn, persona-led conversational analysis and direct brand-perception workflows — going beyond standard mention tracking.
Secure, Scalable Operations
SOC 2 Type II certified, supporting enterprise-grade deployment for organizations that need secure multi-brand collaboration across regions.
The Team
Led by founders and operators with deep expertise in product, cloud infrastructure, brand strategy, and AI-era growth.
Andrei Pitis
Co-Founder & CEO
Strategic leader and veteran tech entrepreneur with 30+ years of experience, driving Genezio's vision to redefine AI-era search visibility.
Bogdan Ripa
Co-Founder & CPO
Drives product vision and AI-native platform architecture, ensuring Genezio models AI behavior accurately for marketing teams.
Paula Cionca
Co-Founder & CMO
Frequently publishes on recommendation rate, citations, perception analysis, and the evolving role of GEO in modern marketing strategy.
Bogdan Vlad
Co-Founder & CTO
Architects high-performance backend systems and AI integrations, drawing on deep engineering experience from Fitbit and Vector Watch.
Product-Minded
Technical rigor to model AI behavior accurately across engines and scenarios.
Commercially Focused
Clear workflows for internal stakeholders and external agencies alike.
Fast-Moving
Analytical and grounded in practical outcomes under changing search conditions.
Our Customers
Genezio serves marketing professionals and decision-makers who need more than prompt monitoring. Our customers include enterprise brands, growth-stage companies, and agencies that want a central platform for AI-driven search visibility and recommendation analytics.
Genezio gives everyone the same operating picture — whether the work happens in-house, with a PR partner, or through multiple content agencies.
Questions our customers answer with Genezio
Which personas are most likely to hear our brand recommended?
Which competitors win head-to-head comparisons in AI answers?
Which citations are helping or hurting us?
What content should our team or agency create next?
Where are the best opportunities to improve AI recommendation rates?
Community & Sustainability
Education
Through our glossary and blog, we help marketers understand terms such as GEO, AEO, AI visibility, and recommendation rate. Good decisions require shared language — especially in a rapidly evolving industry.
Healthier Digital Ecosystems
We encourage accurate, high-quality, citation-worthy content instead of low-value content inflation. We help teams reduce wasted content production by focusing on assets, channels, and partnerships most likely to improve visibility and recommendations.