Natural Language Processing API Is The Solution To Content Optimization
You often write a piece of content but do not get the expected results – to engage and convert the prospective customers. You must be thinking about why your content failed to move the needle? The apparent reason is it’s not optimized for the target industry and niche. You are not optimizing it for the search engine’s required pattern.
Google has its predefined parameters to consider content as quality work and whether or not it should be presented before the user. Its natural language processing solutions based on machine learning work with your text, helping content creators to improve and optimize their scripts.
Google NLP API is an excellent tool that helps businesses accelerate their content optimization and SEO transformation to serve customers better.
Google Cloud NLP (REST API):
Use For: Efficient and accurate analysis and classification of any text data produced by humans.
Best For: Companies who want a managed service for their pre-existing systems and easy integration with cloud storage.
NLP API is a powerful tool based on machine learning algorithms – used in Google’s search algorithms – to extract valuable information and derive insights from any data. It converts unstructured data to a structured pattern. This structured data format quantifies the originality and quality of the content.
Unstructured data makes around 80% and more of enterprise data and is constantly being generated at the rate of 55-65% per year.
Before getting into details of content optimization using this tool, you better understand the difference between structured and unstructured data. Here you go!
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Source: Datamation
NLP algorithms do not read the text like humans but search for the patterns within it. Knowing these patterns is essential for writers to produce truly optimized content for the given industry and niche. In addition, it builds confidence in them that the target audience will get the relevant results even for their poorly written or half-thought-out search query.
See the example below with a random user question and how search engines responded.
Search Query

Search Results

Google still serves this user the relevant results.
How? Natural Language Processing is an AI technology that helps digital devices comprehend, interpret, and replicate human language attributes, including sentiments.
Google NLP makes machines understand us by taking our shoddy language inputs and converting them into valuable data to understand human languages better.
Uses Cases for Tech:
- Search engines
- Email filtering
- Content classification
- Voice/Virtual assistants
Google NLP API is beneficial to integrate NLP software solutions into your existing systems and business tools. It is a perfect choice for companies that significantly depend on Google apps and Google Cloud Storage.
What This API Has To Do With SEO?
Search engines like Google can answer the user search questions they cannot put into words correctly. Thus, NLP plays a vital role in Google’s understanding of human questions to serve relevant and accurate search results.
Google NLP API provides four types of text analysis.
- Entity Analysis
- Sentiment Analysis
- Syntax Analysis
- Category Analysis
You can easily optimize your content with all this information in your hands. For example, select a topic you want to write and rank, copy-paste four to five competitor results into the NLP API tool, and get a clear picture of;
- Entities (points of focus, anything with independent existence)
- Sentiments (positive or negative connotations)
- Category classification (category of your text)
- Syntax of the language (the structure of statements)
This information helps writers create well-informed content in the selected language.
Leverage Google NLP API for Content Optimization
Now, as you understand the nature and what Google NLP has to do with SEO, you can practically apply this tool to optimize your website content for improved throughput –customer engagement, traffic, leads, conversions, and profit margins.
Let’s understand this with an example to understand how this tool is helpful for content developers. Suppose you are a newbie content writer who joined a web design agency and needs to manage its website blog.
You have been asked to write an article on “graphic designing tricks.” What would you do?
You will search for the topic, pick a few top-ranked results, read and review the main points and perhaps modify the similar headings to make them unique.

You would most probably end up writing content using the following phrases based on the article above.
- Overall layout
- User interface
- Elements placement
- Visual interaction
- Aspect ratio
- Navigation menus
- Blog indexes
- Content feeds
- User expectations
- Preventing mistakes
- Client feedback
Here comes the drawback that Google will not mark your blog article high quality, even if it is long-form content with 2,000 or more words and intent-specific keywords.
Why So?
You have used generic terms, and Google gets the idea by looking at your vocabulary level that you are not an expert in the graphic designing niche. Secondly, you have not said anything different and informative compared to your competitors.
Here’s what a graphic designing expert would be discussing.
- Graphical User Interface (GUI)
- 3-click Rule
- 80/20 Rule
- A/B Testing
- Wireframe
- Mockup
- Prototyping
- Golden Ratio
- Brand Book
- Web Analytics
- Gestalt Principles
- Minimum Viable Product (MVP)
Do you get the point?
Even if he is not an expert in the target niche, a good writer is more likely to use the industry terms like expert professionals. It helps create relevancy and builds trust with readers as well as search engines.
Process To Optimize Your Content:
Topics of Discussion
1- Find the right keyword critical to your content niche
- Low keyword difficulty percentage
- Good volume keywords (at least 500)
- Intent-specific, relevant keywords
Note: One article can be ranked for thousands of keywords, as shown in the following image.

2- Open the top ranking websites for your target phrase (or keyword)
Google usually ranks a website for given keywords, highest quality content, and backlinks. Other factors include the website’s age, mobile indexing, page speed, web vitals score, etc.

Hot Tip
Don’t steal content from high-ranking sites, but use the Google NLP API tool to produce better content than competitors.
3- Open the website on first-position and copy the whole article.

4- Use Google Natural Processing API tool.
a. Go to https://cloud.google.com/natural-language
b. Paste the content in the text box and tap on Analyze

c. Review content for four categories; entities, sentiments, syntax, categories

5- Select the words and sentences that seem essential to your target niche.
a. Copy the content from the Google NLP API tool to Google spreadsheet

b. Select the pieces of content with good authority assigned by Google
c. Select the words with salience above 0.00 (preferably with designated entities)
Note: Your content should fall under the same content category that you want to rank for.

6- You can also use sentiment analysis to find the sentences conveying helpful information.
a. Focus on green (positive emotion) and red (negative emotion) to avoid potential issues while creating content.

b. Red and green mark the information people might not be aware of, while grey indicates standard information everybody knows about.
Now, you have collected the data to help you write your article and optimize it to perform better in search engines than competitors.
Our upcoming article will talk about tips to optimize your content based on data you fetched from the Google NLP API tool.
Stay Tuned!
Wrap Up:
Google NLP (Natural Language Processing is an excellent tool for content analysis and optimization. It helps content creators and SEO professionals to rank high in Google and other search engines because Google uses NLP technology to rank content according to user intent and relevant queries. In addition, the categories section adds confidence to the writer’s scripts.