Keyword selection (creating a semantic core) is a fundamental stage in SEO and contextual advertising. The right choice of keywords allows you to attract the target audience and increase conversions. In this article, I will tell you how to use ChatGPT as effectively as possible for keyword selection, and we will discuss important aspects of Google Ads account structure.
The answer is simple: a well-crafted semantic core is the foundation of success in search marketing.
Previously, keyword collection included labor-intensive processes of competitor analysis, the use of many different tools such as Google Keyword Planner, Ahrefs, SEMrush, and manual data analysis. This approach required significant time and effort to find effective keywords that could attract the target audience and increase conversion.
Today, thanks to ChatGPT, this process has become much simpler and more efficient. With ChatGPT, you can automate research, find unique and relevant keywords that will increase your visibility in search engines and the effectiveness of advertising campaigns. In this article, we will look at various methods of keyword selection using ChatGPT and discuss how to integrate these methods into your SEO and PPC strategy.
Generating a Keyword List with ChatGPT
One of the first steps in keyword selection is creating a basic list. ChatGPT can generate a wide range of keywords based on an initial query. For example, the query «Generate up to 20 long tail keywords for [your keyword]» will generate long-tail keywords that can be used to create content and advertising campaigns.
This query can return keywords such as «digital marketing strategies», «digital marketing for small businesses», «best digital marketing tools», etc. Long-tail keywords have lower competition and high conversion rates, making them ideal for use in content and PPC.
Example from BUSINESS SITE practice: For one of our clients in the e-commerce field, we used long-tail keywords such as «best tools for online marketing» and «digital marketing strategies for small businesses». This allowed us to increase organic traffic by 25% in the first six months.
Keyword Clustering and Google Ads Account Structure
Keyword clustering is the process of grouping keywords by thematic categories. This allows you to better structure the content on your site and search advertising campaigns. ChatGPT can help create such clusters by providing lists of related keywords.
Keyword Clustering for SEO Promotion
- Collecting keywords: Use ChatGPT to generate lists of keywords based on various queries and prompts. For example, «Generate a list of keywords related to “healthy eating habits”». This can include keywords such as «proper nutrition», «diets for weight loss», «healthy eating for children», etc.
- Analysis and filtering: Identify the most relevant and effective keywords using data on search frequency, competition, and cost per click. ChatGPT can help with the analysis by offering information on keyword competitiveness: «Analyze the competitiveness of the following keywords: “healthy eating”, “balanced diet”, “nutrition tips”».
- Thematic grouping: Combine keywords into thematic groups. For example, keywords related to «healthy eating» can be grouped into one category, and keywords related to «physical exercises» into another.
- Creating content clusters: Based on thematic groups, create content clusters that will include core material and related articles. This helps improve internal link structure and increase the site’s relevance to search engines.
- Content optimization: Use keywords from the clusters to optimize titles, meta descriptions, text, and internal links. ChatGPT can suggest content optimization ideas: «Suggest ways to optimize content for the keyword cluster “healthy eating habits”».
Example from BUSINESS SITE practice: In one of our projects for a fitness client, we used keyword clustering to create content clusters dedicated to various aspects of a healthy lifestyle. This improved the site’s visibility in search engines and increased organic traffic by 35%.
Structuring a Google Ads Account
The correct structure of a Google Ads account is an important aspect of a successful advertising campaign. The account should be structured so that each ad group contains semantically related keywords and ads, which will increase the relevance and quality of the ads.
Steps to structuring an account:
- Create campaigns by thematic directions: each campaign should be dedicated to a specific topic or product.
- Grouping ads by similar keywords: ad groups should contain keywords that are closely related.
- Use different types of keyword matches: combine broad, phrase, and exact match for maximum reach and accuracy.
- Regularly analyze and optimize: constantly monitor the performance of keywords and ads, adjusting bids and texts as necessary.
Example from BUSINESS SITE practice: For one of our clients in the education field, we created campaigns broken down by courses and topics using broad and exact keyword matches. This increased CTR by 18% and reduced cost per click by 12%.
The Alphabet Soup Method
The Alphabet Soup method uses Google’s autocomplete to generate keywords. ChatGPT can automate this process by creating keywords for each letter of the alphabet.
This method allows you to quickly generate a large list of keywords, which is especially useful in the early stages of research.
Example from BUSINESS SITE practice: In one of our projects for a healthcare client, we used the Alphabet Soup method to create a list of keywords such as «healthcare marketing A», «healthcare marketing B», etc. This helped increase the number of relevant keywords by 40%.
Identifying LSI Keywords
LSI (latent semantic indexing) keywords are terms related to the main keyword. They help improve search engines’ understanding of the page content and increase the chances of a high ranking in search results. These terms include semantic cores and are related to the overall content semantics.
ChatGPT will provide a list of related terms that can be used to expand and enrich content.
Example from BUSINESS SITE practice: For a client in the financial services sector, we used LSI keywords such as «wealth management», «financial planning», «investment strategies». This improved SEO performance by 22%.
To find less obvious but potentially effective LSI keywords, you can use more specific queries. For example:
Competitor Keyword Analysis
Competitor analysis is an important aspect of keyword research. ChatGPT can help by analyzing competitors’ content and identifying the keywords they use.
This provides insight into popular keywords in your niche and allows you to use them to create more effective content.
Example from BUSINESS SITE practice: Working with a client in online education, we used competitor analysis to identify keywords such as «online courses», «remote learning», «business webinars». This helped us create more relevant and engaging content, resulting in a 30% increase in traffic over the first three months.
Creating Structured Data (Schema Markup)
Structured data helps search engines better understand the content of the page and display rich snippets in search results. ChatGPT can generate schema markup code based on the provided information.
Using structured data improves the page’s visibility in search engines and increases CTR. In BUSINESS SITE team projects, using schema markup on product pages helped increase click-through rates by 15%.
Example from BUSINESS SITE practice: For a retail client, we implemented schema markup on the product catalog page, which led to a 20% increase in click-through rates and a 10% increase in conversions.
Understanding Search Intent
Understanding user search intent helps create content that meets their needs and queries. ChatGPT can help determine search intent for given keywords.
This allows you to create more relevant and valuable content for users.
Example from BUSINESS SITE practice: Based on the BUSINESS SITE team’s experience, understanding search intent allowed us to create content that attracted a more targeted audience and increased conversions. For example, creating guides and step-by-step instructions for novice bloggers based on user queries helped increase engagement and time on site.
Creating Meta Descriptions and Meta Tags
Meta descriptions and meta tags play an important role in SEO, providing search engines and users with a brief description of the page content. ChatGPT can help create these elements by inputting keywords and page descriptions.
Proper use of meta descriptions and meta tags improves page visibility and attracts more traffic. For BUSINESS SITE web studio clients, creating optimized meta descriptions led to a 20% increase in CTR.
Example from BUSINESS SITE practice: For a client in the IT services sector, we created meta descriptions and meta tags that increased organic traffic by 18% and improved search result positions.
Conclusion
Using ChatGPT for keyword research and selection is an effective way to improve your SEO and contextual advertising strategies. This tool can significantly simplify the process, providing valuable data and ideas for optimizing your content and advertising campaigns. Take advantage of ChatGPT’s capabilities and take your marketing to the next level!
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