Automate AI Visibility Fixes via MCP Loop

The agent connects to the Are You Found by AI? MCP server to retrieve the current visibility scores and the prioritized fix plan. It classifies fixes into in-repo changes (like JSON-LD) and external actions. For in-repo changes, it applies the code modifications, presents the diff to the human for approval, and deploys upon consent. After each approved change, it triggers a re-measurement to check progress. The loop continues until the target score is reached, the score stops improving, or the maximum iteration count is exceeded. The agent must verify the existence of a protected-pages.txt file to ensure critical pages are not edited.

• Are You Found by AI? MCPBy Are You Found by AI? · No sign-in

Connected to your coding agent, it turns the latest saved report into a working cycle: your agent reads your prioritised fix plan from the latest deep scan, applies the fixes that live in your repository, shows you the diff, deploys once you approve, triggers a re-measure, and reads the new score.

Each playbook is drawn from the vendor page it cites and reviewed by Koskamo before it is published. Koskamo does not run these servers or your agent: check what each tool will do before you let it act on your accounts.

• Generate prioritized fix plan for AI visibilityOperations and infrastructure · Read-only
• Retrieve AI visibility scores and competitor dataResearch and knowledge · Read-only
• Add human-in-the-loop approval to existing integrationSoftware development · Changes data in your accounts
• Analyze landing page for AI visibility and propose fixesSoftware development · Read-only