AI SEO Strategist

AI SEO Strategist is a Python package designed to streamline the extraction and organization of AI-driven SEO strategies from user inputs. This tool helps founders and marketers quickly access practical SEO tactics tailored to their specific challenges or goals, enabling efficient planning and implementation.

Features

• Structured Output: Generates a categorized list of actionable SEO strategies.
• Customizable LLM: Uses ChatLLM7 by default but can be configured with any BaseChatModel from LangChain.
• Consistent Formatting: Ensures clear and consistent output for easy integration into workflows and documents.
• Flexible API Key Management: Supports API key via environment variable or direct input.

Installation

pip install ai_seo_strategist

Usage

Basic Usage

from ai_seo_strategist import ai_seo_strategist

user_input = "Improve SEO for my e-commerce website"
strategies = ai_seo_strategist(user_input)
print(strategies)

Using a Custom LLM

You can use any LLM compatible with LangChain's BaseChatModel. Here are examples using different LLMs:

Using OpenAI

from langchain_openai import ChatOpenAI
from ai_seo_strategist import ai_seo_strategist

llm = ChatOpenAI()
response = ai_seo_strategist(user_input, llm=llm)
print(response)

Using Anthropic

from langchain_anthropic import ChatAnthropic
from ai_seo_strategist import ai_seo_strategist

llm = ChatAnthropic()
response = ai_seo_strategist(user_input, llm=llm)
print(response)

Using Google

from langchain_google_genai import ChatGoogleGenerativeAI
from ai_seo_strategist import ai_seo_strategist

llm = ChatGoogleGenerativeAI()
response = ai_seo_strategist(user_input, llm=llm)
print(response)

Using an API Key

You can pass an API key directly or use an environment variable.

Using Environment Variable

export LLM7_API_KEY="your_api_key"

Passing API Key Directly

from ai_seo_strategist import ai_seo_strategist

user_input = "Improve SEO for my e-commerce website"
strategies = ai_seo_strategist(user_input, api_key="your_api_key")
print(strategies)

Parameters

• user_input (str): The user input text to process.
• llm (Optional[BaseChatModel]): The LangChain LLM instance to use. Defaults to ChatLLM7.
• api_key (Optional[str]): The API key for LLM7. If not provided, it will use the environment variable LLM7_API_KEY.

Rate Limits

The default rate limits for LLM7's free tier are sufficient for most use cases. If you need higher rate limits, you can obtain a free API key by registering at LLM7.

Issues

For any issues or suggestions, please open an issue on GitHub.

Author

• Eugene Evstafev
• Email: hi@eugene.plus
• GitHub: chigwell