🔍 What Are Neural Nets for Google?

Neural Nets are related to Neural Matching and help Google organize search topics in a topical hierarchy 📂. When Google understands a user's search intent through Neural Matching, it places that intent within a specific topic and sub-topic. Neural Nets connect different sub-topics and contexts to cover all possible meanings of a search query. Neural matching connects queries to relevant answers, while neural nets support the main context by covering different search intents and sub-topics.

🧩 Neural Nets and Subtopics

Neural Nets help Google understand how different topics and sub-topics are related. This improves search results and ensures users get the most relevant information 📊.

🚀 Neural Nets in SEO

Neural Nets play a key role in Semantic SEO, which focuses on:

• ✅ Covering all related topics, search intents, and contexts
• ✅ Creating high-quality content with relevant keywords
• ✅ Building contextual internal links 🔗
• ✅ Improving Topical Authority for better rankings

By following this strategy, websites can enhance their visibility in Google search 📈.

📌 Google’s Topical Categories

Google’s Natural Language Processing (NLP) API organizes information into different topical categories 📑. Understanding these categories helps create content that aligns with Google’s way of classifying information, improving SEO performance.

Example:

Imagine Google is like Hogwarts Library, and Neural Nets work like the Sorting Hat 🧙‍♂️—organizing search topics into the right Houses (categories and subtopics).

When someone searches for "Harry Potter spells", Google’s Neural Matching understands the search intent and places it under a broad category like "Magic in Harry Potter". But Neural Nets go even deeper, breaking it down into specific subtopics like:

• 📜 Types of Spells: Charms, Hexes, Curses
• 🧙‍♂️ Famous Spells: Expelliarmus, Lumos, Avada Kedavra
• 📚 Spell Creators: Who invented them? (e.g., Severus Snape and Sectumsempra)

Example 2:

Imagine you open a food delivery app like Uber Eats, Zomato, or DoorDash 🍔📱. You’re hungry and type "pizza" in the search bar.

Now, instead of showing random results, the app organizes the food into:

• 🍽️ Main Category: Italian Food
• 🍕 Subcategories:
  • Thin Crust Pizza (Neapolitan, New York Style)
  • Cheesy Pizza (Stuffed Crust, Four Cheese)
  • Meaty Pizza (Pepperoni, BBQ Chicken)
  • Veggie Pizza (Margherita, Veggie Supreme)