Head terms vs long-tail keywords in SEO Fundamentals - Hands-On Comparison

Understanding Head Terms vs Long-Tail Keywords

📖 Scenario: You are working on improving a website's search engine optimization (SEO). To do this, you need to understand the difference between head terms and long-tail keywords, which are types of search phrases people use on search engines.

🎯 Goal: Build a simple comparison chart that lists examples of head terms and long-tail keywords, helping you clearly see the difference between them.

📋 What You'll Learn

Create a dictionary called keywords with two keys: 'head_terms' and 'long_tail_keywords'.

Add a list of 3 exact head term strings under the 'head_terms' key.

Add a list of 3 exact long-tail keyword strings under the 'long_tail_keywords' key.

Create a variable called min_search_volume and set it to 10000.

Use a for loop with variables term_type and terms to iterate over keywords.items().

Inside the loop, create a list comprehension called filtered_terms that keeps terms with length greater than 15 characters.

Add a final dictionary called comparison_chart that stores the filtered terms for each term type.

💡 Why This Matters

🌍 Real World

SEO specialists use head terms and long-tail keywords to target different types of search queries. Head terms are short and very popular, while long-tail keywords are longer and more specific. Understanding these helps create better content and attract the right visitors.

💼 Career

This knowledge is important for digital marketers, content creators, and SEO analysts who want to improve website traffic and ranking by choosing the right keywords.

1

Create the keywords dictionary

Create a dictionary called keywords with two keys: 'head_terms' and 'long_tail_keywords'. Assign the list ["shoes", "laptops", "coffee"] to 'head_terms' and the list ["best running shoes for flat feet", "affordable gaming laptops 2024", "how to brew coffee at home"] to 'long_tail_keywords'.

SEO Fundamentals

# Create the keywords dictionary with head terms and long-tail keywords
# Your code here

Need a hint?

Use curly braces {} to create the dictionary and square brackets [] for the lists.

2

Add a minimum search volume variable

Create a variable called min_search_volume and set it to 10000.

SEO Fundamentals

keywords = {
    'head_terms': ["shoes", "laptops", "coffee"],
    'long_tail_keywords': ["best running shoes for flat feet", "affordable gaming laptops 2024", "how to brew coffee at home"]
}
# Create min_search_volume variable
# Your code here

Need a hint?

Just assign the number 10000 to the variable min_search_volume.

3

Filter keywords by length

Use a for loop with variables term_type and terms to iterate over keywords.items(). Inside the loop, create a list comprehension called filtered_terms that keeps only terms with length greater than 15 characters.

SEO Fundamentals

keywords = {
    'head_terms': ["shoes", "laptops", "coffee"],
    'long_tail_keywords': ["best running shoes for flat feet", "affordable gaming laptops 2024", "how to brew coffee at home"]
}
min_search_volume = 10000

# Loop over keywords and filter by length
# Your code here

Need a hint?

Use for term_type, terms in keywords.items(): and inside it, a list comprehension to filter terms by length.

4

Create the comparison chart dictionary

Add a final dictionary called comparison_chart that stores the filtered_terms list for each term_type inside the for loop.

SEO Fundamentals

keywords = {
    'head_terms': ["shoes", "laptops", "coffee"],
    'long_tail_keywords': ["best running shoes for flat feet", "affordable gaming laptops 2024", "how to brew coffee at home"]
}
min_search_volume = 10000

for term_type, terms in keywords.items():
    filtered_terms = [term for term in terms if len(term) > 15]
    # Add filtered_terms to comparison_chart dictionary
# Your code here

Need a hint?

Create an empty dictionary comparison_chart before the loop. Inside the loop, assign filtered_terms to comparison_chart[term_type].