Real Creators Are Using Copilot to Build Blogs That Scale—You Can Too

# python_script_1.py
import requests
import pandas as pd
import os
from datetime import datetime, timedelta

# Note: In 2025, assume more direct API access or robust libraries
# for Google Trends and SERP analysis beyond basic scraping.
# This example simulates the concept.

def get_google_trends(keyword, days_back=7):
    """
    Simulates fetching trending topics related to a keyword.
    In a real scenario, you'd use a dedicated Google Trends API client.
    """
    print(f"Fetching trends for: {keyword}...")
    # This is a placeholder. A real implementation would use a robust API.
    # For demonstration, we'll return dummy data.
    return [
        {"topic": f"Best {keyword} setup 2025", "search_volume_est": 50000},
        {"topic": f"New {keyword} features explained", "search_volume_est": 35000},
        {"topic": f"{keyword} vs AI alternatives", "search_volume_est": 28000},
    ]

def get_serp_data(query, api_key):
    """
    Fetches top search results and related queries using SerpAPI.
    """
    print(f"Fetching SERP data for: {query}...")
    params = {
        "q": query,
        "api_key": api_key,
        "engine": "google",
        "hl": "en",
        "gl": "us"
    }
    response = requests.get("https://serpapi.com/search", params=params)
    response.raise_for_status() # Raise an exception for HTTP errors
    data = response.json()

    results = []
    if "organic_results" in data:
        for res in data["organic_results"][:5]: # Top 5
            results.append({
                "title": res.get("title"),
                "link": res.get("link"),
                "snippet": res.get("snippet")
            })
    
    related_searches = [s.get("query") for s in data.get("related_searches", [])]

    return {"top_results": results, "related_searches": related_searches}

if __name__ == "__main__":
    search_term = "AI blogging tools 2025"
    serp_api_key = os.getenv("SERPAPI_API_KEY") # Ensure this is set in your environment

    if not serp_api_key:
        print("Error: SERPAPI_API_KEY environment variable not set.")
        print("Please get an API key from https://serpapi.com and set it.")
    else:
        # Get trending topics
        trends = get_google_trends(search_term)
        print("\n--- Trending Topics ---")
        for t in trends:
            print(f"- {t['topic']} (Est. Volume: {t['search_volume_est']:,})")

        # Get SERP data for a specific high-volume trend
        target_topic = trends[0]['topic']
        serp_data = get_serp_data(target_topic, serp_api_key)

        print(f"\n--- Top 3 SERP Results for '{target_topic}' ---")
        for i, res in enumerate(serp_data["top_results"][:3]):
            print(f" {i+1}. Title: {res['title']}")
            print(f"    Link: {res['link']}")
            print(f"    Snippet: {res['snippet'][:100]}...")

        print("\n--- Related Searches ---")
        for rs in serp_data["related_searches"][:5]: # Top 5 related
            print(f"- {rs}")

# python_script_2.py
from langchain_community.llms import OpenAI
from langchain_core.prompts import PromptTemplate
from langchain.chains import LLMChain
import os

# Note: Ensure you have your OpenAI API key set as an environment variable
# OPENAI_API_KEY. In 2025, assume a robust GPT-5 API endpoint.

def generate_blog_content(topic, competitors_snippets, related_searches):
    """
    Generates a blog post outline and initial draft using GPT-5 via LangChain.
    Copilot would assist heavily in writing this orchestration code.
    """
    llm = OpenAI(model="gpt-5-turbo-instruct", temperature=0.7, openai_api_key=os.getenv("OPENAI_API_KEY"))

    # Crafting a comprehensive prompt to guide GPT-5
    # LangChain's PromptTemplate makes this robust.
    prompt_template = PromptTemplate(
        input_variables=["topic", "competitors", "related_searches"],
        template="""
        You are an expert content strategist and AI blogger. Your goal is to generate a comprehensive, SEO-optimized blog post for the topic: "{topic}".

        Consider the following competitive landscape (snippets from top results):
        {competitors}

        Also, incorporate insights and answer questions from these related searches:
        {related_searches}

        Generate a detailed blog post that is:
        1.  **Engaging and informative**: Provides real value to solo content creators and developers.
        2.  **Actionable**: Offers practical steps or tools.
        3.  **SEO-friendly**: Includes relevant keywords naturally.
        4.  **Structured**: Begin with an introduction, followed by 3-5 main sections with sub-headings, and a conclusion with a call to action.
        5.  **Monetization-focused**: Hint at how this information helps drive revenue.

        First, provide a suggested **SEO Title** and a **Meta Description**.
        Then, outline the blog post structure with headings.
        Finally, write a detailed draft of the **introduction** and the **first two main sections** based on your outline.

        Focus on quality and depth. Use Markdown format.
        """
    )

    chain = LLMChain(llm=llm, prompt=prompt_template)

    competitors_text = "\n".join([f"- Title: {s['title']}\n  Snippet: {s['snippet']}" for s in competitors_snippets])
    related_searches_text = ", ".join(related_searches)

    response = chain.run(
        topic=topic,
        competitors=competitors_text,
        related_searches=related_searches_text
    )
    return response

if __name__ == "__main__":
    target_topic = "Best AI blogging tools 2025 setup"
    # These would come from the output of Phase 1
    competitor_snippets_mock = [
        {"title": "The Ultimate AI Blogging Setup for 2025", "snippet": "Discover the essential tools and configurations for launching a top-tier AI-powered blog this year."},
        {"title": "5 Must-Have AI Tools for Bloggers in 2025", "snippet": "Our comprehensive guide breaks down the best AI software for content creation, SEO, and automation."}
    ]
    related_searches_mock = ["AI content generation workflow", "GPT-5 for blogging", "Automated SEO tools 2025"]

    if not os.getenv("OPENAI_API_KEY"):
        print("Error: OPENAI_API_KEY environment variable not set.")
        print("Please get an API key from https://platform.openai.com/api-keys and set it.")
    else:
        print(f"Generating content for: {target_topic}...")
        generated_content = generate_blog_content(
            target_topic,
            competitor_snippets_mock,
            related_searches_mock
        )
        print("\n--- Generated Blog Content (Partial) ---")
        print(generated_content)

# python_script_3.py
from wordpress_xmlrpc import Client, WordPressPost
from wordpress_xmlrpc.methods.posts import NewPost
from wordpress_xmlrpc.methods.users import GetUserInfo
import os

# Note: Ensure your WordPress site has XML-RPC enabled (usually default).
# For security, use an application-specific password if your WP version supports it.

def publish_to_wordpress(title, content, categories, tags, wordpress_url, username, password):
    """
    Publishes a new post to WordPress using the XML-RPC API.
    """
    try:
        # Client initialization
        client = Client(wordpress_url + '/xmlrpc.php', username, password)

        # Verify credentials (optional but good practice)
        user_info = client.call(GetUserInfo())
        print(f"Connected to WordPress as: {user_info.display_name}")

        # Create a new post object
        post = WordPressPost()
        post.title = title
        post.content = content
        post.post_status = 'publish' # or 'draft' for review
        post.categories = categories
        post.tags = tags
        
        # You can also set other properties like:
        # post.thumbnail = attachment_id # For featured image
        # post.custom_fields = [{'key': 'custom_seo_field', 'value': 'some_value'}]

        # Publish the post
        post_id = client.call(NewPost(post))
        print(f"Post '{title}' published successfully with ID: {post_id}")
        return post_id

    except Exception as e:
        print(f"Error publishing to WordPress: {e}")
        return None

if __name__ == "__main__":
    # These would come from the output of Phase 2 (and potentially manual review/refinement)
    post_title = "The Ultimate AI Blogging Setup for 2025: Scale Your Content & Income"
    post_content = """
    # The Ultimate AI Blogging Setup for 2025: Scale Your Content & Income

    ### Introduction: The Dawn of the Automated Content Empire

    The digital landscape of 2025 demands more than just good content; it demands *scalable* content. For solo creators and developers, the dream of a high-volume, high-impact blog used to be a distant mirage...
    
    ### 1. The Brain: GPT-5 at the Core of Your Content Strategy

    At the heart of any formidable AI blogging setup in 2025 lies a powerful large language model, and GPT-5 stands as the reigning champion...
    
    [...full content generated by GPT-5...]

    ### Conclusion: Your Automated Content Future Starts Now

    Embracing AI in your blogging workflow isn't just about efficiency; it's about securing your place in the competitive content ecosystem of 2025. With Copilot assisting your development, GPT-5 crafting your narratives, and XML-RPC handling publishing, you're not just a blogger—you're a content automation expert. Start experimenting today and watch your blog scale beyond your wildest expectations, driving sustainable monetization for years to come.
    """
    post_categories = ["AI Blogging", "Automation"]
    post_tags = ["AI", "Blogging", "Automation", "Monetization", "GPT-5", "Copilot", "2025"]

    # Retrieve WordPress credentials from environment variables for security
    wp_url = os.getenv("WORDPRESS_URL")
    wp_username = os.getenv("WORDPRESS_USERNAME")
    wp_password = os.getenv("WORDPRESS_APPLICATION_PASSWORD") # Use application password if available

    if not all([wp_url, wp_username, wp_password]):
        print("Error: WordPress environment variables (WORDPRESS_URL, WORDPRESS_USERNAME, WORDPRESS_APPLICATION_PASSWORD) not set.")
        print("Please set them before running this script.")
    else:
        published_id = publish_to_wordpress(
            post_title,
            post_content,
            post_categories,
            post_tags,
            wp_url,
            wp_username,
            wp_password
        )
        if published_id:
            print(f"Check your blog at: {wp_url}/?p={published_id}")