💡 “How did you determine the best noun-verb relationships to achieve a more connected outcome?”

📌 First, let's start with the basics:

• 🔍 Lexical search relies on robotic queries and explicit contextual-related terms.
• 🧠 Semantic search uses natural language and patterned behaviors.
• 📈 Google reports a growing trend in natural language queries every year.
• 🌐 The Semantic Web is driven by human behavior patterns.
• 🔗 These behavior patterns merge with natural language queries.

🧠 Methods used in knowledge representation (for SEO):

• Frames
• Semantic networks
• Production rules
• E-A-V
• Knowledge bases

These help associate things in knowledge representation, improving Search Engine Optimization (SEO).

🧩 These networks are often inspired by "predicates" — the actions we perform in daily life. ⚙️ Ultimately, they rely on "verbs from human perception" to work effectively.

👉 That’s why you need "verbs" to properly address the behavior of the searcher within your central search intent.

🗺️ Steps to choose the best noun-verb relationships while creating a topical map:

1. Identify the source context (primary focus of the business) for your topical map
   📍 (e.g., Offering a pet-sitting service and earning commissions from pet owners and sitters.)
2. Finalize the central entity closest to your source context
   📍 (e.g., pets)
3. Finalize the central search intent combining both the central entity and source context
   📍 (e.g., Match pet owners with pet sitters for their needs.)
4. Extract all nouns and verbs, along with their possible relationships with each other, from ChatGPT / Bard / Gemini.
5. Toss your central entity into Ahrefs, use the 'terms match' feature, and include each noun in the filter.
6. Obtain all possible combinations (topic ideas) of connected outcomes (nouns) relevant to your source context, along with their popularity.
7. Repeat the process by adding each verb to the same central entity’s terms match include filter — you should now have both noun and verb combinations separately.
8. Filter the combinations of nouns and verbs separately based on:
   • ✅ Relevance to the source context
   • 📊 Popularity
9. Now prioritize certain noun-verb relationships over others and group multiple search behaviors under the canonical behavior.

🧰 Additional tools & data sources to broaden your research:

• 🖼️ Google Images (Check top tabs for semantic ideas)
• 🔍 Google Search (Search suggestions, page titles, meta descriptions, People Also Ask, related searches, etc.)
• 📺 YouTube Search (Search suggestions, video titles, descriptions)
• 🧩 SEOStack (For exploring all possible combinations around your central entity/noun/verb)