A comparative analysis showing which discovery, trust, and selection decisions improved after deployment, validating the effectiveness of the changes.
After a human approves and deploys changes to the landing page, the agent initiates a new test with a new requestId using the same URL and AI clients. It retrieves the new report and compares it against previous results to identify which metrics moved. The agent highlights meaningful changes where underlying answers and evidence shifted, ensuring the deployment actually improved AI recommendation potential.
- Category: Sales and marketing
- Effect: Read-only
- MCP servers: Agentzia MCP (https://koskamo.com/explore/agentzia-mcp)
- Source: How to test a landing page with AI agents (https://www.agentzia.dev/how-to/test-landing-pages-with-ai-agents)
- Source quote: "After an approved edit and deployment, create a new test with a new requestId and the same URL and clients."
- Playbook page: https://koskamo.com/explore/use-cases/retest-landing-page-after-implementing-ai-driven-improvements
Prompt: Run a new Agentzia test on the updated landing page URL using the same AI clients. Compare the new report with the previous one to show which discovery, trust, and selection decisions improved and which remained unchanged.