Content Optimizer for LLMs

The Content Optimizer for LLMs is an AI agent designed to make blog articles more discoverable and usable by search engines and large language models (LLMs) like ChatGPT. Its goal is to increase the likelihood that your articles are crawled, indexed, and referenced in AI-generated answers.
Complexity (to Build):
Low
Complexity (to Run):
Low
Human Input:
Med
Copy-paste each agent
Use This Template
Content Optimizer for LLMs

Workflow summary:

Trigger: When a new blog draft is added to a Google Drive folder

Then it fires these 5 agents:

  1. Finds content enhancements - Identifies what you can add to the article to make the content more valuable to LLMs.
  2. Recommends structure updates - Looks for ways to make your article more easily crawlable by LLMs.
  3. Looks for Authorship improvements - Recommends human inputs to increase authorship & trustworthiness.
  4. For each header
    • Checks if the header is optimized for real ChatGPT queries rather than Google keyword.
  5. Write a Schema graph for the article - Once the article is finalized, it writes a schema graph to be added to the <head> section of the blog page.

Copy-paste links for each step:

Content enhancements: Link to template here.

Formatting/structure improvements: Link to template here.

Recommend SME contributors: Link to template here.

Query/Header Matcher: Link to template here.

Schema Writer - Blog Article: Link to template here.

Notion-Style Callout
💡 Need something more complex and customized to your flow & tools? Let's talk (15 min).

How to customize this to your org/workflow/tools/processes

  • Build an AI agent that automatically writes the content enhancement recommendations from Step 1 of this workflow.
  • Connect to your CRM and "contributors" database to help the AI make realistic recommendations for human contributions.
  • Build an agent that pushes the Schema to your website CMS automatically.
  • Connect to your SEO or AIEO tooling to feed more goal context the the AI.