Playbook

How to write NLP-friendly paragraphs with Team-GPT

Transform unclear, fluffy content into direct, NLP-friendly paragraphs that Google can easily understand and rank

Step 1: Create a Project and set up your NLP guidelines

Start by creating a dedicated Project in Team-GPT for your NLP optimization work.

Click on Project knowledge and add your NLP optimization guidelines. These instructions will be referenced automatically in every chat within this Project, ensuring consistent results without repeating yourself.

You can copy and paste John's guidelines into your Project info & instructions:

NLP SEO Content Optimizer System Prompt

Persona

You are an NLP SEO optimization expert specializing in creating featured snippet-ready content.

Core Instructions

Always answer with a featured snippet which is optimized.

DO NOT use bullets or numbers. Answer should always be a paragraph.

KEEP THEM SHORT.

The length should NEVER be more than 40-50 words or around 250-300 characters.

Optimization Rules

1. Concise & Direct Answers:

Rewrite sentences and paragraphs to be clear, confident, and authoritative
Minimize unnecessary subject and predicate dependencies
Eliminate redundant phrases and use direct verbs for clarity

2. Paragraph Optimization:

Simplify complex sentences while preserving meaning
Reduce dependency hops by restructuring subject-verb relationships
Format responses in a way that improves SEO performance

3. Featured Snippet Formatting for Single Questions:

Provide a direct, concise answer in ~50 words (~400 characters)
Include a "Featured Snippet:" heading before the answer

4. Connect Questions to Answers:

Use the basic format: [Entity] is [Answer]
Reconstruct the question back into a simple statement that includes the answer

5. Identify Units, Classifications, and Adjectives:

Include expected units (degrees, characters, pixels, etc.)
Add numerical values where relevant
Specify classifications that define the entity

6. Reduce Dependency Hops:

Minimize the number of words between the subject and the answer
Use simplified grammar and clear writing
Create an explicit journey from question to answer

7. Don't Beat Around the Bush:

Start with the answer immediately
Avoid stories, rhetorical questions, or delayed responses
Give precise determinations that Google can extract

8. Avoid Unclear Antecedents:

Replace pronouns with the actual noun when clarity might be lost
Don't carry meaning across sentences if it creates confusion
Make sure "it," "they," and "this" have clear references

9. Be "Correct" and Clear:

Prioritize clarity over complexity
Provide simple responses that satisfy featured snippet requirements
Balance accuracy with readability

10. Boost Your Salience:

Use indicator keywords that commonly appear alongside your target term
Include related vocabulary that builds up to your main topic
Add terms that improve the content's "aboutness"

11. Follow the Query Through:

Address secondary topics and questions searchers might have
Cover the full journey of the searcher's intent
Include frequently asked questions related to the main topic

12. Disambiguate Entities:

Isolate entities in headings, list items, or table cells
Use indicator words to clarify which entity you mean
Add context when entities could have multiple identities

13. Use Structure to Convey Meaning:

Apply inverted pyramid structure
Use headings to define content sections
Leverage proximity to show relationships
Format with appropriate HTML tags

You can also add specific examples of well-optimized paragraphs to help the AI understand your exact style and tone.

Once this is set up, every chat in this Project will automatically follow these NLP principles.

Step 2: Choose your optimization method

There are two ways to use this workflow depending on whether you're creating new content or improving existing paragraphs.

Method 1: Ask questions to generate new NLP-friendly content

Use this method when you're starting from scratch and need to create new paragraphs that are NLP-friendly from the beginning.

In your Team-GPT chat, simply ask the question exactly as your target audience would search for it in Google.

For example, type: "What is cold email?"

The AI will generate a paragraph following all the NLP principles in your Project knowledge:

"Cold email is an unsolicited email sent to a recipient without prior contact or relationship. It's used by businesses for outreach, sales prospecting, and networking. Unlike spam, effective cold emails are personalized, relevant, and provide value to the recipient while respecting their time and privacy."

Notice how the answer:

Starts immediately with "Cold email is..." (connecting question to answer)
Uses direct language without fluff
Stays within the 40-50 word limit
Provides a clear, authoritative definition

This method works for any topic where you need clear, direct explanations. The key is framing your request as a question your audience would actually ask.

Method 2: Copy and paste existing paragraphs for optimization

Use this method when you have existing content that needs improvement. This is especially useful for updating old articles or fixing paragraphs that beat around the bush.

Copy the paragraph you want to optimize and paste it into your Team-GPT chat. Then ask the AI to rewrite it following your NLP guidelines.

For example, if you have this paragraph:

"What is cold email? If you're in the earlier days, what is cold email? So what is... I'm asking this question, and you're starting with a story, you're delaying the response, right?"

Paste it into the chat and say: "Rewrite this paragraph to be NLP-friendly."

The AI will analyze your text and generate a cleaner version that eliminates the delay, removes the rhetorical questions, and gets straight to the answer.

You can use this method for:

Intro paragraphs that delay the answer
Outro sections with unnecessary fluff
Definition paragraphs that don't start with the entity
Any content that feels wordy or unclear

Step 3: Compare and understand the improvements

After the AI rewrites your paragraph, ask it to explain what changed and why the new version is better for NLP.

Type: "Compare the differences between the two paragraphs and explain why the one you suggested is NLP-friendly."

The AI will break down specific improvements:

How it reduced dependency hops between subject and answer
Why it eliminated certain filler words or phrases
Where it placed the answer in the sentence structure
How it improved clarity for search engines
Which specific NLP principles it applied

This step is valuable for two reasons:

First, it helps you understand what makes content NLP-friendly so you can write better first drafts in the future.

Second, it's an excellent training tool for your writers. Instead of just telling them "this needs to be clearer," you can show them concrete examples of what changed and why it matters for SEO.

Save particularly good examples to your Project knowledge as reference material your team can study and replicate.

Step 4: Apply optimizations to high-impact areas

Focus your optimization efforts on the areas that matter most for semantic SEO and featured snippet rankings.

Intro paragraphs: The first paragraph under any H1 or H2 should answer the question immediately. This is where Google looks first when determining if your content satisfies a query.
Definition sections: Any time you explain "what is X," get to the answer in the first sentence using the format "X is [answer]."
Outro sections: Conclusion paragraphs should summarize key points without adding new fluff or restating what you already covered.
Paragraphs below important headers: Content directly under your main headings carries more weight for NLP analysis.

You don't need to rewrite every paragraph on your site. Start with these high-impact areas where NLP optimization delivers the biggest ranking improvements.

Understanding why NLP-friendly content ranks better

Google's natural language processing looks for specific patterns when analyzing content. Understanding these principles helps you create content that both ranks better and serves readers more effectively.

Direct answers reduce dependency hops

Every word between your subject and answer creates a dependency hop. The more hops Google needs to make, the lower its confidence in your answer.

Compare these two sentences:

"The safe internal temperature for cooked chicken is 165° Fahrenheit." This requires 6 hops from chicken to the numerical answer.

"The most precise way of telling if the chicken is done is to reach a perfect internal temperature of 165 degrees for dark meat." This requires 10 hops and adds unnecessary complexity.

Simplified grammar creates a clearer path from question to answer, which is exactly what Google rewards in search results.

Units and classifications matter

Certain words have expected units or classifications. Temperature needs degrees. Length needs characters or pixels. Time needs hours or days.

When you answer questions about these concepts, include the specific units and numerical values. "The safe temperature for chicken is hot enough" doesn't satisfy the query. "The safe internal temperature for cooked chicken is 165° Fahrenheit" gives Google exactly what it needs.

Beating around the bush hurts rankings

Many articles delay the answer with stories, rhetorical questions, or background information. This might work for engagement, but it hurts your chances of appearing in featured snippets.

Google needs to extract a precise answer from your text. When you beat around the bush, it lowers confidence that your content satisfies the search query.

Salience improves topical authority

Salience measures how strongly your content relates to a topic. Including indicator keywords that commonly appear alongside your target term improves your content's "aboutness."

For "title tag," indicator keywords include: search result page, SERP, HTML, head, length, characters, meta tags, on-page SEO. These aren't keywords you're trying to rank for, but they signal to Google that your content comprehensively covers the topic.

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Try this workflow today.

Tips for better results

Focus on one paragraph at a time: Optimizing individual paragraphs produces better results than trying to rewrite entire articles at once.
Compare before and after every time: This trains your eye to recognize what makes content NLP-friendly and helps you write better first drafts.
Test your optimized content: Monitor rankings and featured snippet appearances to validate that your optimization is working.
Update your Project knowledge: As you discover what works for your specific industry and audience, add those insights to your guidelines.
Save successful examples: Build a reference library of well-optimized paragraphs that your team can learn from and replicate.

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