Retest landing page after implementing AI-driven improvements
A comparative analysis showing which discovery, trust, and selection decisions improved after deployment, validating the effectiveness of the changes.
How it works
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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.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Retest landing page after implementing AI-driven improvements
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.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
After an approved edit and deployment, create a new test with a new requestId and the same URL and clients.How to test a landing page with AI agents