In search engine optimization (SEO), latent semantic indexing (LSI) is a technique that analyzes the relationships between groups of related words and concepts. By identifying non-literal words and phrases that are relevant or semantically associated with chosen target keywords, we can uncover additional terms and topics that engines connect with top-ranking content.
These associated words are known as LSI keywords. Though not an exact match to primary keywords, they deal with complementary concepts and help search engines grasp your content’s contextual relevance. For example, related LSI terms for “content marketing” could include copywriting, blogging, SEO strategy, social media engagement etc.
Importance of LSI keywords
Incorporating relevant LSI keywords throughout your content enables search engines to better categorize your pages by theme. This signals to Google you are focusing on providing in-depth value around core topic clusters. In turn, pages that effectively leverage LSI terms are more likely to appear for related searches.
In short, researching and applying apt LSI keywords is tremendously beneficial for SEO success. The analysis reveals what additional terms and concepts your top-ranked competitors are targeting alongside primary keywords. As search intent evolves, aligning your content with secondary search queries becomes increasingly important.
In this post, I’ll demonstrate a simple 3-step process for leveraging custom GPT models to surface LSI keywords from top competitors in your niche. Identifying these terms and using them effectively can significantly improve your site’s ability to rank for your target keywords.
Find LSI (Latent Semantic Indexing) Keywords Using Custom GPT Step by Step Tutorial
Step 1: Identify Top 3 Ranking Competitors
The first step is researching and identifying the top 3 ranking sites in your niche for your focus keyword. Understanding what your competitors are doing right is crucial for developing an effective content strategy.
Just go to the google and search for your targeted keyword and pick up URLs of top 3 organic URLs which you think are relevant to your topic (for some keywords/phrases google sometimes show irrelevant topic due to topic similarity or other reasons)
Step 2: Utilize Custom GPT for LSI Keywords
Now we can leverage the power of GPT-4 based models to extract latent semantic keywords from our competitors. Go to the GPT – ChatGPT – LSI Keyword Competitor Analyzer and enter the following info
Competitor Link 1: https://www.site1example.com/competitor-post
Competitor Link 2: https://www.site2example.com/competitor-post
Competitor Link 2: https://www.site2example.com/competitor-post
Main keyword – <keyword>
Step 3: Analyze and Apply LSI Keywords
The custom GPT model will produce a list of recommended LSI keywords, along with their frequency/occurrence in competitor’s blog in the form of table.
Best practices to incorporate LSI keywords into your content
It’s important we don’t just thoughtlessly stuff these terms into our content. The key is to understand their context and naturally incorporate terms that enable our content to cover complementary sub-topics.
As a rule of thumb, most LSI keywords should appear 2-4 times depending on term complexity. Focus on smooth integration that contributes to topic clustering around your primary keyword. Don’t over-optimize!
Also to understand right frequency of LSI keyword insertion, you can have an idea of your top competitors. How they are using those words and on what frequency. As they are already on top on google search results, so we can safely assume that their LSI keywords frequency is optimal.
Conclusion
Utilizing custom GPT functionality represents an elegant shortcut for uncovering LSI keywords that align with high-performing competitors.
Latent semantic analysis via AI eliminates the tedious manual analysis of top-results content. Combined with a strategic content development approach, generated LSI terms can be seamlessly incorporated to boost relevance for target search terms.
I encourage you to experiment with inputting different competitor links and primary keywords. Observe how the resulting LSI word groupings differ between ranking pages.
AIHelperHub is an expert in AI-focused SEO/Digital Marketing automation and Python-based SEO automation and enjoys teaching others how to harness it to futureproof their digital marketing. AIHelperHub provides comprehensive guides on using AI tools and python to automate your SEO efforts, create more personalized ad campaigns, automate content journey, and more.
