The landscape of Search Engine Optimization (SEO) has transformed significantly over time. Techniques like keyword stuffing, which used to dominate Google’s top ranks, are now long outdated. Today, advanced strategies like Natural Language Processing (NLP) are employed to secure a robust technical foundation for websites, ensuring optimal search engine performance and visibility.
See some examples below:
Advanced SEO examples
Open AI’s GPT-4 and its model-based tools have likely piqued your interest. As SEO continually evolves, incorporating AI and machine learning technologies substantially elevates your SEO strategy.
An initial step involves using Natural Language Processing (NLP) to harmonize your content with what Google interprets your content to be about.
During any audit, I recommend extracting the content and processing it through Google’s NLP API to determine the categories and sentiment.
It’s vital to ensure that Google’s comprehension aligns with the type of keywords or user intents you’re targeting for ranking.
For instance, if our article’s intent is to engage users seeking pet-related advice, we could process it through Google’s API and derive results like the following:
Given that Google’s list of categories (list here), includes a sub-category for pets, we need to revise our article with a mix of often
- More content
- If the content is too short the API has little to go on to find the correct matching category.
- More targeted keywords/synonyms etc.
- While you should never force keywords into your content, you should definitely try to use synonyms, phrases that show the same intent, etc. for the best user experience as well as to help Google better understand your content