Were you aware that just a few exact-match keywords could propel your page to the very top of Google's search results?
That approach is now old.
Google has evolved into a more complex search engine. You may rank a single page for numerous keywords. The next question is where can one discover that many targetable keywords for a single page?
This aspect of your SEO strategy of the digital marketing agency can be approached in one of two ways.
Old way: For each keyword, manually go through each Search Engine Results Page (SERP), determine the user's search intent (e.g., looking for information, making a purchase or comparing options), and then group relevant terms. However, that isn't much more efficient than wearing flip-flops throughout a marathon.
New way: Make use of AI to research keywords for SEO Content . As you sip your morning margarita, these AI keyword research tools can discover low-competition keywords and analyze SERPS and group-related ones.
Traditional keyword research Problems
Finding relevant, easily rankable long-tail keywords sometimes requires repeatedly entering the seed keyword into the keyword research tool. Carrying it out in the conventional manner is laborious, slow, and error-prone. Manually search for topic-related terms, determine the search intent (e.g., is the user attempting to buy something, compare options, or get more information), and then categorize them according to Google SERP similarity.
The keyword tool's difficulty score is the foundation of many content strategists' content plans. One potential downside of this strategy is that these keyword tools usually only look at links when estimating ranking potential. Although links still play a role, Google's ranking algorithm is now much more intricate. Topical authority, personalization, content richness, user contentment, and page-load speed are just a few of the many aspects that are now considered. Additionally, various keyword tools show varying organic traffic and difficulty scores for the same term.
The fact that they provide a long list of irrelevant terms is another issue with prominent keyword generators such as Ubersuggest Google Keyword Planner SEMrush's Terms Magic Tool, and Ahrefs' Keywords Explorer Tool. Making individual pages for similar keyphrases could lead to excessive labor and weaken your content's effectiveness.
What is AI keyword research?
The goal of AI keyword research is to discover, analyze, and group relevant phrases, which employs artificial intelligence algorithms and machine learning. Because computers can handle enormous data sets and create thematic keyword clusters far faster than humans can, this method of keyword research is superior to manual methods.
Why use AI for keyword research
Keyword research is well-suited for AI automation due to its algorithmic nature. An AI SEO tool would be ideal for jobs such as theme clustering, pattern recognition, intent to search detection, keyword difficulty assessment, and keyword gathering. To save time, increase accuracy, and partially automate your search engine optimization keyword research, consider outsourcing these stages to an AI-powered service. Using the new technique, my own search engine rankings improved significantly.
AI Keyword research
Here’s what AI SEO keyword research is:
- I investigate potential themes according to the type of business.
- After I've analyzed several topics, I choose my main topic by considering my business plan and the resources I have at my disposal. An issue that calls for its own post.
- For this purpose, I make use of a keyword recommendation tool.
- The frequency with which linked URLs appear in search engine results allows me to group relevant terms. This phase requires an artificial intelligence keyword tool.
- I center my content on the core keyword, which typically comes up with the greatest number of searches and business value.
- A number of related articles, each with an emphasis on long-tail keywords, radiate out from the central content core. In addition to helping my clients, these articles boost my website's subject authority (the amount of coverage a topic receives that demonstrates my knowledge to search engines like Google).
The only stage that an AI online SEO services keyword analysis tool can't accomplish is developing a company strategy since AI doesn't have the same level of expertise in this area as you do. Because of the complexity of issues like brand strategy, consumer behavior, and market circumstances, I never try to automate this aspect. Selecting appropriate subjects and keywords is the last step before diving into content development.
AI keyword research tools
- LarSEO
- The workflow
- Topic explorer
- Keyword explorer
- Keyword clustering
- Keyword Cupid
Future of AI keyword research
It is quite probable that keyword research tools will continue to advance in sophistication and effectiveness as the need for AI adoption rises and AI developers work to improve their algorithms. We can expect more accurate predictions of search intent, better AI keyword analysis, better keyword grouping, and better overall keyword suggestions. When compared to the big guys, these tools for search engine optimization will give small businesses a run for their money.
Instead of spending time manually researching keywords you can focus on making content that targeting those keywords in an emotionally engaging way by using an AI tool.
Business value evaluation is the part that requires human review; AI can help you be more efficient there, but it can't decide what to do with your company.
