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AI Engine
How to Deploy Code Fixes
Approving recommendations and scheduling deployment runs.
Difficulty:
|Beginner
Est: 8 mins
|Updated July 2026
Overview
Once you have reviewed and verified an AI-generated SEO recommendation, you can deploy it directly to your site. Approving a change initiates the deployment pipeline, which writes the code patches to your connected CMS (WordPress/Shopify) or custom API hook.
Prerequisites
- A completed audit with generated recommendations.
- An active and verified integration connection.
Step-by-Step Guide
- Open the **Optimizations** tab inside your project dashboard.
- Locate the target page recommendation card.
- Click the **Apply Fix** button on the card.
- In the confirmation modal, review the changes one final time and click **Confirm Deployment**.
- The fix enters the processing queue, transmitting the tag data to your CMS.
Expected Result
The fix status badge will change to Processing, then Applied. Within 90 seconds, the Validation Bot will verify the patch, updating the status badge to a green **Verified** indicator.
Batch Deployment
For large websites, approve and deploy tags in batches of 10-20 pages to avoid triggering rate-limits on shared hosting servers.
Common Mistakes
- Deploying while disconnected: Trying to deploy fixes before confirming your CMS plugin is online will return an API authorization error. Check integration health first.
Troubleshooting
- Apply Fix triggers "REST API Forbidden" error:
Your integration key has expired or has been revoked. Go to Settings, generate a new key, and update your plugin configuration.
Related Guides
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