Often times SEOs want to know if they can rank a new website without backlinks.
The answer is “YES” you can.
To rank a new website that has no backlinks, you will need to look intotopical authority, keyword clustering, semantics SEO, and NLP.
Let me break it down for you;
Topical authority: refers to the level of expertise and credibility your business has in a specific area or topic within your industry.
It involves consistently producing high-quality, informative content, engaging in discussions, and demonstrating your in-depth knowledge.
This helps build trust with your audience and search engines, ultimately boosting your business's reputation and visibility in search results related to that particular topic.
Keyword clustering: on the other hand involves grouping related keywords and phrases around a central topic.
This helps search engines understand the breadth and depth of your content on a specific subject.
Topical authority complements keyword clustering by demonstrating your expertise and credibility on those clustered topics.
Now let’s take a look at semantic SEO
Semantic SEO is an approach to search engine optimization (SEO) that focuses on understanding the intent behind search queries and the context of words within a piece of content. It goes beyond traditional keyword optimization and considers the relationships between words, synonyms, and the overall meaning of a query.
Instead of solely targeting specific keywords, semantic SEO aims to provide comprehensive and relevant information that addresses the broader topic or concept a user is searching for.
This approach aligns with how search engines like Google have evolved to understand user intent and deliver more accurate search results.
For example, let’s say you have a website that provides information about "healthy eating habits." In a traditional keyword-focused approach, you might have optimized your content around specific keywords like "healthy diet," "nutrition tips," and "balanced meals."
However, with semantic SEO, you would take a broader and more comprehensive approach. You would create content that not only includes those target keywords but also covers a wide range of related topics and concepts.
This could involve writing articles about:
1. The Importance of Nutrient-Rich Foods
2. Tips for Portion Control and Mindful Eating
3. How to Incorporate Various Food Groups for a Balanced Diet
4. Benefits of Drinking Water for Overall Health
5. Understanding Different Types of Macronutrients and Micronutrients
By creating content that addresses these various aspects of healthy eating habits, you're not only optimizing for specific keywords but also providing a holistic and valuable resource for your users.
The last one is NLP
NLP stands for Natural Language Processing. In the context of search engines, NLP refers to the technology and techniques used to understand and interpret human language in a way that computers can comprehend.
Search engines use NLP to improve the accuracy and relevance of search results by understanding the intent behind user queries and the context of the words used.
NLP allows search engines to go beyond simple keyword matching and take into account factors such as synonyms, word variations, and even the relationships between words in a sentence.
This enables search engines to provide more relevant results and understand user queries that are phrased in a conversational or natural manner.
For example, if a user searches for "best restaurants nearby," an NLP-powered search engine like Google would understand that the user is looking for recommendations for good restaurants in their vicinity, even if they didn't use the exact keyword "recommendations."
NLP enhances the user experience by making search engines more capable of understanding and responding to the way people naturally communicate.
NLP is good for both search engine and your website visitors. Instead of using industry terms that only you can understand, you are able to produce content that even a layman can understand and relate to.
Let me give you guys an example of how Google process query with NLPwhile using “Money” as an example.
So let’s say someone searched for this query on Google search engine:
“What are some effective strategies to save money and invest for the future?”
1. Tokenization: Google breaks down the query into individual words and phrases: ["What", "are", "some", "effective", "strategies", "to", "save", "money", "and", "invest", "for", "the", "future"]
2. Contextual Understanding: Google's NLP models understand that the user is seeking advice on ways to save money and make investments, likely for long-term financial planning.
3. Relationships and Intent: Google identifies that the user wants strategies related to saving money and investing for future financial security.
4. Relevance and Results: Based on this understanding, Google retrieves search results that offer tips, advice, and articles about money-saving techniques and investment strategies for long-term financial goals.
By processing the query through NLP, Google provides relevant information that aligns with the user's intent, even if the query is phrased in a natural and conversational manner.
The reason why you need to focus on semantic SEO and NLP is that Google is a semantic search engine
Semantic search engines like Google go beyond exact keyword matching.
Google aims to understand the context, intent, and meaning behind a search query.
