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How To Find Perfect Keywords for Voice & Semantic Search??
In the era of artificial intelligence, voice and semantic search, does keyword research still works for you? How artificial intelligence impacts on keyword research? How to find perfect keywords for semantic search? Tools, tips & more...
Keyword research is the most crucial part of the SEO, from choosing keywords to optimizing keywords in content, most SEO’s often going through a brainstorming research process. As an enthusiastic blogger, I had always been working hard on keyword research.
Most webmasters and SEOers are used to do extensive keyword research to cram the content with a bunch of targeted keyword terms/phrases into every corner of their websites. Keyword optimization often goes wrong by stuffing keywords in a non-contextual way, making the content meaningless and hard to read.
Keyword Research In Reality
Those days were gone that we used to find high search volume and low competition keywords with a good keyword efficiency index (KEI) as search engines continuously updating search algorithms to serve their users with relevant and useful search results (SERPs), SEO keyword research became more challenging in reality.
What Is Semantic Search?
Recently, Google came up with a major extension of its Hummingbird update is called RankBrain. Google’s RankBrain is a machine-learning Artificial Intelligence (A.I) system that allows Google search engine to better interpret and process the complex search queries and sort through the billions of web pages and find the most relevant results for the searchers’ query.In terms, with changes in the way search engines works and to better understanding the users’ intention behind the search query, brings up the need for the semantic search
Semantic search algorithms dramatically changed the way how search engines works, by giving less priority to match particular keywords or phrases and focusing more on to understand the users’ intention behind the search query. In result, semantic search helps search engines to show more relevant, useful and contextual search results to their users.
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Impact Of Voice Search & NLP On Keyword Research & SEO:
Whether people are lazy to type long keywords or speaking is often more convenient than typing, people quickly adopting voice search into their search habits. with the advent of virtual digital assistants like Google Assistant, Microsoft Cortana and smart home devices like Google Home, Amazon Alexa, and Echo, the share of voice search is significantly expanding among the users.
Voice searchers are always have been quite different from conventional searchers. Google said that over 70% of all the voice searches are conversational. After analyzing previous year’s Google Assistant search queries, Google revealed most of the search queries in voice search are the way like natural conversations between the two people. Voice searchers are more specific, curious and purposeful with their keywords or search phrases, they always expect useful, actionable and contextual search results addressing their exact need or search query. Often through direct answers in SERP snippets.
Look at the search results (SERPs), the results are more specific, relevant and more contextual.
Above 2 contexts make it clear — how semantic search works and rank web-pages by understanding users’ intention behind the search query, not the keywords or word phrases that match with the search query. So, SEOers must keep in mind voice searchers and use Natural Language Process (NLP) while creating the content.
Does Keyword Research Still Works In 2018?
So, you may ask “does keyword research still works in 2018?”
Yes! Even semantic search engines like Google giving less priority for ranking web pages that match with specific keywords or search phrases. Keyword research is still very important to you to increase visibility and maximized reach for your targeted audience. But, it’s just changed the way it works.
How to do Semantic keyword research 2018?
In the era of artificial intelligence. voice & semantic search, previous old-school keyword research methods are a bit faded out. In 2018, SEOers should focus more on choosing right keyword based on natural conversational language and creating more supporting content related to the specific topic and optimizing for multiple long-tail keywords to see even better results, user engagement, improved SERP rankings and success in SEO game. Then how to find perfect keywords for semantic search? Tools, tips & more…
Here are some semantic search optimization tips to find effective, user-driven keywords to create high-quality, valuable and interactive content that can get more user engagement, likes, and shares in social media.
How to find perfect long-tail keywords for semantic search & NLP
- Create supporting content based on related topics, to cover a wide range of relevant subjects and contextual keywords.
- Enrich text in your content with another set of words that directly related to your topic.
- Create contextual story referring your users’ query/problem.
- Use long-tail keywords based on natural conversations to optimize for more long-tail keywords and voice search.
- Create quality content that can be easily readable, interesting and offer value to the user.
- Write content in the FAQ (frequently asked questions) or Q & A form sharply addressing your users’ search query/need.
- Link to related and high-quality internal and external pages.
- Link all the related content together. This way you’re effectively creating several “topic networks” within your website.
Best semantic keyword tools:
- Google auto-complete.
- Related keyword suggestions and user-driven data or queries from Google search results page.
This is a non-exhaustive list of semantic keyword research tools. If you’ve enough skills and fluent knowledge on topic/subject, there are a lot of sources on the Internet to find more LSI keywords.