Cluster design
The six content clusters that should carry topical authority.
The first cluster should focus on AI agency and consulting demand in Switzerland. That is where buyers compare providers, look for implementation partners, and evaluate local credibility. The second cluster should cover workflow automation, n8n automation, and process redesign. The third should focus on AI agents, use-case design, human oversight, and deployment logic. The fourth should address chatbots, WhatsApp automation, and customer response systems. The fifth should cover automation for SMEs, internal efficiency, and operational return on investment. The sixth should address practical AI adoption, governance, and buying criteria for decision-makers.
AI Agency Switzerland
Commercial pages, comparison articles, local pages, and partner-selection guides.
Automation Systems
n8n, workflow orchestration, approvals, integrations, and back-office automation.
AI Agents
Sales agents, reporting agents, content agents, support agents, and rollout guidance.
Conversational Automation
Chatbots, WhatsApp automation, FAQ systems, and support design.
SME Productivity
Automation for operations, reporting, content, quoting, and internal systems.
AI Decision Support
Buying criteria, ROI framing, governance, implementation logic, and mistakes to avoid.
Semantic model
How the hub should support rankings beyond one service page at a time.
Each core commercial page should be reinforced by support articles, case studies, city pages, and FAQs. That means every high-intent service page gets surrounded by cluster content that answers comparisons, use-case questions, budget questions, rollout questions, and local buying questions. The internal linking should run from educational content toward service pages, from service pages toward proof and city pages, and from case studies toward consultation pages.