SEO Agentic AI Toolkit

typescript react node.js agents langchain

Optimizing a website for Google Search is an iterative process of analyzing data and making adjustments—a cycle that can be accelerated and improved with agentic LLMs. I’m collaborating with the founder of a search engine optimization agency to integrate AI agents into his content marketing strategy, building a toolset that autonomously and securely interacts with data source to supercharge SEO work.

The Features

  • Analytics Query Agent: During client calls or while preparing reports, it’s essential to quickly pull relevant website analytics from tools like Google Analytics and SEMrush. I built an AI agent that dynamically queries these APIs based on an employee’s or client’s question, facilitating decision-making with relevant real-time insights.
  • 404 Redirector Tool: In addition to building AI agents, I built a suite of AI tools to facilitate website research and report creation. The first of these tools utilizes a text embedding model to suggest redirects for broken links based on their similarity with valid links in a site map.
  • Organic Search Report Creation Tool: Another AI tool created for this suite automates the process of report creation regarding organic search of clients pages, utilizing few-shot prompting on previous reports to ensure that responses match the tone, structure, and level of detail expected by clients. The tool is featured in the demo video above.