Learn how to create a smart AI assistant that can fetch organic search results by relying on Assistant API coupled with a function calling API.

We cover the process of creating a new assistant through code or the OpenAI user interface, configuring it to analyze keywords and return organic results using an external API, and selecting GPT-4 for its advanced capabilities.

The tutorial involves using SerpApi to obtain Google search engine data, managing API keys, and the implementation of creating threads and messages in the assistant. We use Postman for API request simulation and explain the process of extracting a keyword from a user's prompt to fetch and suggest content based on organic search results, emphasizing the AI's ability to decide when to call an external function based on the query.

Chapters
00:00 Introduction to Creating a Smart AI Assistant
00:28 Setting Up the AI Assistant
01:07 Integrating External API for Enhanced Functionality
02:15 Running the Program and Testing with Postman
04:47 Exploring the Code and Understanding the Workflow
08:12 Real-world Application: Enhancing SEO with AI
10:25 Conclusion and Final Thoughts

Resources:
- Repository: https://github.com/hilmanski/assistan...
- Full blog post: https://serpapi.com/blog/connect-assi...
- Assistant API: https://platform.openai.com/docs/assi...
- Function Calling API: https://platform.openai.com/docs/guid...
- Prompt used: "You are an SEO assistant. A user will provide a keyword and you will analyze this keyword, SEO-wise.

The function_call tools will return an organic_results based on the keyword. Analyze this organic_results and provide the user with information like what is the top 3 ranking results and what would be a good title idea if user want to be in the top rank as well. Make sure to only run this once per user prompt, never call multiple functions based on the same prompt."