seo_tool.rb

$ cat ai/seo_tool.rb
# ruby seo_script.rb www.yourwebsite.com your_keyword

require "ahrefs"
require "openai"

Ahrefs.configure do |config|
  config.token = "your_ahrefs_token"
end

Openai.api_key = "your_openai_api_key"

# Define your website and target keyword
website = ARGV[0]
keyword = ARGV[1]

def get_seo_data(website)
  result = {}

  # Get backlink data
  result[:backlinks] = Ahrefs::Backlinks.new(website).get

  # Get competitor data
  result[:competitors] = Ahrefs::Keywords.new(website).competitors

  # Get top pages data
  result[:top_pages] = Ahrefs::Pages.new(website).top

  result
end

def suggest_backlink_actions(data)
  # Extract the information from the data
  new_backlinks = data[:backlinks].filter { |link| link["date"] > (Date.today - 30) }
  lost_backlinks = data[:backlinks].filter { |link| link["date"] < (Date.today - 30) }

  # Generate a prompt for GPT-3 based on the data
  prompt = "We have gained #{new_backlinks.count} new backlinks and lost #{lost_backlinks.count} backlinks. Please provide detailed suggestions for improving our backlink profile."

  # Call the OpenAI API
  response = Openai::Gpt3.complete(
    model: "text-davinci-002",
    prompt: prompt,
    max_tokens: 150
  )

  # Print out the generated suggestions
  puts "Suggestions for improving backlink profile:"
  puts response["choices"][0]["text"]
end

def suggest_competitor_actions(data)
  # Generate a prompt for GPT-3 based on the data
  prompt = "Here are the top competitors for our website: #{data[:competitors].join(", ")}. Please provide detailed suggestions for outperforming them."

  # Call the OpenAI API
  response = Openai::Gpt3.complete(
    model: "text-davinci-002",
    prompt: prompt,
    max_tokens: 150
  )

  # Print out the generated suggestions
  puts "Suggestions for outperforming competitors:"
  puts response["choices"][0]["text"]
end

def suggest_top_page_actions(data)
  # Generate a prompt for GPT-3 based on the data
  prompt = "Here are the top pages on our website: #{data[:top_pages].join(", ")}. Please provide detailed suggestions for improving their SEO performance."

  # Call the OpenAI API
  response = Openai::Gpt3.complete(
    model: "text-davinci-002",
    prompt: prompt,
    max_tokens: 150
  )

  # Print out the generated suggestions
  puts "Suggestions for improving top page performance:"
  puts response["choices"][0]["text"]
end

# Call the functions to get the SEO data and generate suggestions
data = get_seo_data(website)
suggest_backlink_actions(data)
suggest_competitor_actions(data)
suggest_top_page_actions(data)