Add LLM-friendly Summaries
The Add LLM-friendly Summaries opportunity identifies high-traffic pages that lack concise structured summaries, which makes it harder for AI agents to quickly understand key information on the page. It introduces clear summaries and key points grounded in your existing page content. This helps agents interpret and capture important brand claims more efficiently and increases the likelihood that your content is included accurately in AI responses.
For each affected URL, you can review AI-generated suggestions, then deploy them with Optimize at Edge so agentic traffic gets clearer, scannable context with no Content Management system (CMS) changes required.
How it fixes the problem
Fixes are applied using Optimize at Edge, which:
- Serves a pre-rendered HTML snapshot to AI agents.
- Enriches the page with summaries and/or key points in the HTML they retrieve.
- Works at the CDN layer (no CMS changes).
- Is AI-only — no impact on human visitors or SEO bots.
- Deploys in minutes and is fully reversible from the LLM Optimizer interface.
How it works
LLM Optimizer identifies high-traffic pages where page or section-level summaries and key points would help AI comprehension. Affected URLs appear in the URLs with suggestions table on the Current Suggestions tab, where you can expand a row to inspect each recommendation.
The URLs with suggestions table lists pages where summaries would help agentic discovery. Suggestions are organized into Current Suggestions, Fixed Suggestions, and Ignored Suggestions. For each URL you can:
- Expand the row to view the analysis and proposed summary text (and key points when included).
- Preview the before and after comparison for agentic traffic.
- Mark as Fixed if you addressed the opportunity outside LLM Optimizer.
- Ignore suggestions that are not relevant.
Each expanded entry shows page-level and section-level summary instructions, AI-generated copy, edit controls and context tied to the live page.
Click Preview in the Actions column to open the optimization preview. It compares how your page looks now for agentic traffic with the post-optimization view (for example, injected summary and key point content aligned to the suggested placements). You can open or dismiss that preview at any time before you deploy.
When you are ready to publish, select the summary and key point line items using the checkboxes. The footer shows how many are selected and provides Mark as Fixed, Ignore Suggestions, and Deploy optimizations.
Deploying the optimization
When you are ready to publish at the edge, click Deploy optimizations. A Deploy to Edge dialog lists the selected URLs and optimization details. Review the list, then choose Deploy or Cancel.
After a successful deploy, Deployment Complete confirms how many optimizations went live and notes that AI agents may take time to index the update. Close the dialog and open Fixed Suggestions to verify status.
Fixed Suggestions and View Live
On Fixed Suggestions, deployed URLs show Optimized in the status column. Expand a row to review deployed summary copy and instructions.
Click View Live on the row to open a read-only view of current page content as served for verification (including injected summary and key point blocks where applied). Use Details for analytics. When you need to revert edge changes in bulk, select the optimized rows using the checkboxes, then use Rollback in the header.
Rollback
If you change your mind, you can roll back any deployed optimization. From the Fixed Suggestions view, select the optimized rows you want to revert, then click Rollback in the header.
The Rollback dialog lists the suggestions that will be rolled back, with a short warning that deployed optimizations will be reverted. Confirm the list, then click Rollback or Cancel.
When the operation finishes, a Successfully Rolled Back summary appears; close it to return to the dashboard.
Try it in the demo
Explore the Add LLM-friendly Summaries workflow in the Frescopa demo.