&Autonomous marketing employees
Agent-to-agent marketing, built on recursive self-improvement (RSI)
Trusted by 400+ Fastest Growing B2B teams
The Agent Economy
The buyers changed. Your marketing hasn’t.
Agents are the new buyers
AI agents are making and influencing purchasing decisions now, accelerating toward full autonomy. The buyer on the other side of the table is increasingly a model, not a human.
You can’t market to agents the way you market to humans
Agents don’t see ads, respond to emails, or sit through demos. They retrieve. Your web presence — across both training data and real-time retrieval — is the only surface that matters.
The surface never sits still
The signals that determine how agents discover and cite brands shift constantly. Models update, retrieval methods evolve, competitors publish, citation weights change. Any static effort decays immediately.
Humans can’t solve this. Agents can.
A non-stationary, high-dimensional optimization problem across multiple AI systems updating weekly — that’s not a job for a marketing team or an agency. That’s a job for an autonomous system that experiments, learns, and compounds. You need agents marketing to agents.
Meet Your First Employee
Rex, Your Autonomous GEO Employee
GEO is agent-to-agent marketing — optimizing how AI agents discover, evaluate, and recommend your brand. Rex continuously monitors these signals, runs optimization cycles across your content and web presence, and improves its own strategy every iteration. It's not a dashboard or a tool — it's an employee that gets better at marketing to agents every week.
Learn more about Rex →Get Cited by AI
- AI search visibility monitoring across all major LLMs
- Citation optimization for ChatGPT, Perplexity, Claude
- Brand mention tracking & sentiment analysis
- Content structured for AI retrieval & recommendation
Autonomous Content Engine
- GEO-optimized content generation with structured data
- Automated citations from authoritative sources
- CMS-wide content refresh on 30–60 day cycles
- Deep research engine for high-intent topics
Build Domain Authority for AI
- Track your AI domain authority score across LLMs
- Automated backlink outreach to top sources cited by AI
- Create lead magnets & organic content domains for 3rd-party authority
- Strategic link building to sources LLMs trust most
Compounds Over Time
- Optimizes its own experimentation strategy
- Learns from every publish & ranking signal
- Refines evaluation criteria autonomously
- Gets better at getting better
Breakthrough RSI Performance in Agent-to-Agent Marketing
Rex outperforms frontier AI models and agent runtimes
Domain-specific agents vs. general-purpose agent runtimes across 1,200 production GEO workflows
Rex (Relixir)Rex (Relixir)Rex (Relixir)Domain-specific context orchestration eliminates 60-80% of wasted context window
The Workforce
One RSI system.
Every department.
Each employee compounds on its own. Together, they compound faster.
Rex
Markets your brand to the AI agents making purchasing decisions.
Outbound Agent
Finds and engages your highest-intent prospects autonomously.
Retention Agent
Detects churn signals and re-engages customers before they leave.
Recruiting Agent
Sources and qualifies candidates that match your bar.
All built on recursive self-improvement. It's not four separate products — it's one intelligence layer that powers every employee.
AI agents are becoming the primary interface through which businesses discover, evaluate, and purchase from each other.[1] The agent economy isn't coming — it's here. And it changes everything about how go-to-market works.
When your buyer is an AI agent, your brand's entire surface area collapses to one question: does the agent retrieve and recommend you?[2] That depends on training data, real-time retrieval, citation patterns, and model-specific ranking signals — a non-stationary optimization problem across multiple AI systems updating weekly.
This is why agent-to-agent marketing requires recursive self-improvement.[3] Static playbooks decay. Dashboards observe but don't act. Only an autonomous system that experiments, evaluates, and improves how it learns can keep pace with a landscape that shifts every week.
We're proving this with Rex in GEO today. The same RSI architecture extends to every department with measurable outcomes.[4]
The companies that build autonomous employees for the agent economy will own their categories.
[1] Wang et al., “A Survey on Large Language Model-based Autonomous Agents,” arXiv:2308.11432, 2023.
[2] Bommasani et al., “On the Opportunities and Risks of Foundation Models,” arXiv:2108.07258, 2021.
[3] Schmidhuber, J., “Gödel Machines: Fully Self-Referential Optimal Universal Self-Improvers,” Cognitive Technologies, Springer, 2007.
[4] Relixir Labs, “RSISEO-1: RSI Context Orchestration Benchmark,” Internal Technical Report, Feb 2026.
Design Philosophy
Built on Three
Non-Negotiables
The architectural decisions that separate compounding agents from static AI wrappers. These principles are structural, not aspirational.
Autonomous by Default
Our agents don't assist — they execute. Each Claw operates end-to-end within its domain, making decisions, taking actions, and optimizing outcomes without requiring human oversight.
Recursive Intelligence
Every agent runtime improves through recursive self-improvement. Performance compounds as agents optimize their own experimentation strategies, evaluation criteria, and learning policies — not just their outputs.
Native Integration
Claws connect directly to existing work infrastructure — CRMs, CMSs, analytics platforms, communication tools. No migration. No rip-and-replace. Intelligence that meets you where you already work.
Your competitors already hired Rex
See how Rex can get your brand recommended by ChatGPT, Perplexity, Claude, and Google AI Overviews — fully autonomously.