Thyris GEO Platform

Thyris GEO Platform is a workspace-based operating system for Generative Engine Optimization. It measures how a brand, website, product, service, campaign, topic, claim, person, market, and channel asset appears in generative engines; turns evidence into prioritized work; publishes approved changes; and connects those changes to AI referral and conversion signals.

GEO is not a checkout-readiness score and it is not limited to a single model vendor. OpenAI-compatible systems, Anthropic Claude, Perplexity, Google Gemini, custom agents, MCP components, RAG sources, routers, and workflows can be observed or simulated without mixing synthetic results with observed evidence.

Open GEO Platform

Closed-loop workflow

Platform topology at a glance

Capability map

Area	Capabilities
Portfolio	Projects, markets, languages, targets, competitors, aliases, relationships, ownership, versions
Research	Topics, prompts, prompt sets, intent, market/language coverage
AI systems	Workspace providers, models, custom agents, MCP/RAG/workflow components, dependency graph, evaluations
Monitoring	Manual and scheduled runs, repetitions, budgets, raw evidence, answer snapshots, latency, token and cost data
Usage	Workspace provider requests, normalized tokens, web searches, configured/provider-reported cost, pricing coverage and operation provenance
Intelligence	Visibility, share of voice, citations, entities, prompt demand, narratives, accuracy, safety and anomalies
Optimization	Technical/citability diagnostics, findings, recommendations, roadmap, approval, execution and rollback
Activation	Knowledge, evidence-backed content, machine artifacts, channels, publishing and verification
Simulation	Organic, ads, sponsored-agent, custom-agent, MCP/RAG and workflow scenarios; experiments and calibration
Performance	AI referral tracking, trends, campaign impact, attribution, source influence and product visibility
Operations	Alerts, reports, exports, scheduled delivery, share links, integrations, privacy and retention
External access	Workspace API keys, REST API, MCP, TypeScript SDK, browser/Next.js tracking SDK, GTM and WordPress

Recommended reading order

1. Platform overview
2. Architecture and service topology
3. Getting started
4. Tenants, workspaces, projects, and targets
5. Data model and lifecycle
6. Providers and AI systems
7. Configuration reference
8. Research and monitoring
9. Provider Usage and Cost Management
10. Metrics and intelligence
11. Diagnostics and Action Center
12. Knowledge, content, channels, and publishing
13. Simulation and experiments
14. Tracking, impact, and attribution
15. Tracking installation
16. Brand, website, product, and campaign scenarios
17. Integration selection guide
18. Implementation and operations playbooks
19. Domain service reference
20. Dashboards, reports, and exports
21. API, SDK, and MCP
22. Security, privacy, and governance
23. Deployment and configuration
24. Testing and troubleshooting

Product boundary

The dashboard is the complete operational surface. Public APIs expose selected workspace-safe datasets and workflows; they do not mirror every internal dashboard mutation. Publishing and external actions require a configured connection, appropriate scope, approval, and policy result. A simulation is always labeled synthetic and never becomes an observation.