🔍 Semantic Content Audit Checklist

There is an important check I have in my semantic content audit checklist…

It helps NLP (Natural Language Processing) — used by search engines — to better understand natural language written by humans 🧠💬.

• 👉 It’s not about making the content look robotic 🤖❌
• 👉 It’s about providing the proper context for the words used in a sentence 📝✨

💡 Context Term Audit

I call this a CONTEXT TERM AUDIT 🔍🗂️

Context terms help NLP systems disambiguate the meanings of words and phrases — so they can better understand the context of other words 🧠🔍.

📊 Benefits of Disambiguation

• ✅ Text classification 🏷️
• ✅ Information extraction 📂
• ✅ Machine translation 🌍💬

💭 How to Perform the Audit

Let’s take an example of the following sentence:

"She went to the bank."

The context of the word "bank" in this sentence is ambiguous 🤔

That "bank" could be:

• 🏦 A financial institution
• 🌊 The side of a river

🛠️ Add Context Terms

• ✔️ She went to the bank [to deposit her paycheck.] 💵🏦
• ✔️ She went to the bank [to feed the ducks at the river.] 🦆🌊
• ✔️ She went to the bank [to sit and read her book in the quiet.] 📖🪑

👉 All the context terms (in brackets) help search engines better understand the overall context of the sentence.

🎯 Why This Matters

That understanding helps search engines make more informed decisions when interpreting natural human language.

🚀 The better search engines understand your content, the more chances it will rank higher 🔝📈

📏 Scaling Context Term Audits

🤖 Train a Large Language Model (LLM) to provide sentence examples with and without context terms.

💥 You'll be surprised to see how many sentences in your content lack context terms — and how big a difference it can make!