GENEVA, Switzerland — February 2, 2026 — Cybrient Technologies SA today announced the official launch of LLMboost, a Generative Engine Optimization (GEO) and brand intelligence platform built specifically for SEO and SEM agencies that need to keep their clients visible in an AI-driven world.
As more users ask Perplexity, ChatGPT, Claude, and Gemini for recommendations instead of scrolling through traditional search results, agencies face a new visibility challenge: how to ensure their clients appear when large language models answer, compare, and summarize. LLMboost is designed to solve exactly this problem.
“Search behavior is shifting from clicking through results to simply asking an AI assistant,” said a spokesperson for Cybrient Technologies SA. “LLMboost gives agencies a clear view into how these systems talk about their clients and turns that visibility into practical actions their teams can execute.”
Built for agency workflows in the GEO era
LLMboost operates as a full backend optimized for multi-client agency environments. Behind a simple interface, it runs a clean data pipeline, performs daily indexing of each client’s key assets, and continuously analyzes AI-generated content.
With LLMboost, agencies can:
- Track how major large language models describe their clients, including positioning against competitors.
- See which sources are being quoted and which products or services are most frequently highlighted.
- Monitor “share of recommendations” across leading AI tools to understand where clients are winning or losing visibility.
- Discover concrete GEO opportunities that can be integrated into existing SEO and SEM roadmaps.
The platform consolidates this intelligence into a single, multi-client hub so account teams can monitor performance and act quickly without introducing yet another disconnected tool.
Turning AI behavior into an actionable service line
LLMboost is designed not only as a product but as the backbone of a new, high-value service offering for agencies.
By translating AI behavior into clear recommendations, agencies can decide:
- Which content to create, expand, or refresh so AI assistants can confidently surface their clients.
- How to structure pages and FAQs so models can reliably interpret services, locations, and differentiators.
- Which landing pages, support articles, and resources need to be strengthened to become “canonical” sources for AI systems.
- Where to build authority and topical depth so AI assistants learn to trust their clients more than competitors.
Agencies can package GEO as an add-on to existing retainers, use it to differentiate pitches, and demonstrate to clients that they are optimizing not only for classic search engines but also for the AI recommendation layer their customers are already using.
“LLMboost helps agencies move first in a space where many competitors are still reacting,” the spokesperson added. “It gives them a clear narrative for clients: we are proactively managing your visibility where AI makes recommendations, not just where search engines list results.”
Availability
LLMboost v1.0.4 is now available for SEO and SEM agencies looking to launch a dedicated GEO and AI visibility offering for their clients. For more information head over to https://llmboost.ai. For more information about white-label and enterprise solutions, contact Cybrient Technologies SA using the details below.
About Cybrient Technologies SA
Cybrient Technologies SA is a Switzerland-based technology company focused on building practical, high-impact tools for businesses and developers. The company operates across several specialized areas, including IT workforce solutions, cybersecurity, artificial intelligence, and software-as-a-service platforms, with a consistent focus on helping organizations adapt to fast-changing digital realities.
Media Contact
For media inquiries regarding LLMboost or Cybrient Technologies SA, please contact:
Cybrient Technologies SA
Geneva, Switzerland
Website: https://cybrient.com
This release may include forward-looking statements, including anticipated plans and timelines for product features and international expansion. Actual results may differ materially from those projected or implied.
