SEOptics

Inspiration

What it does

How we built it

About the Project 🚀 Inspiration The idea for SEOptics was inspired by the growing need for unbiased, real-time SEO insights in a highly competitive digital landscape. Often, businesses want to know how well they rank for industry-relevant keywords without skewing results by including their brand name. Traditional tools either lack this flexibility or require manual effort.

This led to the creation of an automated agent-powered solution that simulates real-world searches and analyzes rankings objectively.

💡 What We Learned How to design and structure an AI agent workflow using the CrewAI framework.

Real-time SEO analysis with tools like Serper.dev for SERP data extraction.

Integration of LangChain and OpenAI's GPT-4o-mini to guide autonomous agents.

The importance of prompt engineering and modular architecture for scalability and reusability.

🛠️ How We Built It Tech Stack:

Python

CrewAI for multi-agent task delegation

Serper.dev as a real-time SERP analysis tool

LangChain + ChatOpenAI for natural language task execution

dotenv for secure API key management

Process:

Created an SEO Analyst agent using CrewAI with specific goals and tools.

Defined a task to perform keyword analysis and check if the brand appears in the top 10.

Used SerperDevTool to simulate unbiased searches (excluding company name in queries).

Captured and formatted output into a user-friendly JSON report.

⚠️ Challenges Faced Avoiding bias in search results: Ensured company names were excluded from search queries to maintain objectivity.

Parsing dynamic SERP results: Handling different result formats and ensuring consistent ranking extraction.

Tool integration: Smooth integration of Serper.dev with CrewAI agents took fine-tuning.

LLM control: Guiding the LLM (GPT-4o-mini) to produce structured, JSON-based output required multiple prompt refinements.

✅ Final Outcome SEOptics empowers marketers, analysts, and SEO professionals with a lightweight, AI-driven tool that delivers instant clarity on keyword performance—without the need for manual research or guesswork.