1. AI and keyword research
SEMRush claims that AI is everywhere and that What type of SEO specialists must update their knowledge of machine learning and AI.
In 2015, Google confirmed that it uses machine learning algorithms to indonesia telegram data sort search results. It’s up to you to convince the AI that your answer is relevant.
The secret is to have a large number of relevant publications : Massive and Strategic Qualitative Writing (RQMS) .
2. AI and visual content
If you want to learn to play guitar,
The answer is obvious, and Google knows it. Just type in “learn to play guitar” and you’ll see a plethora of videos among the results.
Search engines are now able to analyze this type of visual content.
3. AI and Links
In my opinion, influential websites that post links to poor quality content will rank lower in the future.
Since search engines will be able to know the click-through rate on external links and the time spent on the page, SEO consultants will have to focus on relevance and quality.
In the near future, it will be important to be more selective in your selection of external links. Here are some adjustments to make to your netlinking strategy:
- Direct your readers only to websites with a good reputation
- Promote links to authoritative sites (scientific publications, recognized journals)
- Limit links to sites that target the same niche
- Build relationships with other influencers to enhance your options
- Don’t neglect internal links: they improve the structure of your site
4. AI and content
Content quality is arguably one of the most important stability and reliability for your service offering success factors. This remains true despite the globalization of AI and SEO.
Because even if AI can analyze data for you, it’s up to you to provide quality content.
I remain convinced that word embedding is the future of semantics in SEO. It’s an exciting field; its capabilities and influence will only grow in the near future.
Word vectors is an algorithm that helps Google better understand the relationships between words, based on examples of real-world language usage.
These vector models map semantically similar expressions, based on equivalence, similarities, or proximity of ideas and vocabulary.
A simple method for studying expressions is to search for the closest words for a user-specified keyword.
To put it simply, two words that are close together in vector space tend to share a common context; while two words that are far apart are considered unrelated to the context. And Google knows this!
SEOQuantum was created to study these word vectors and provide a simple solution to this future problem.
Are you ready for 2019 trends?
So here are the 6 SEO trends I’m cn leads preparing for in 2019.
This year, in my opinion, will be the year of artificial intelligence and the rise of word embedding. We will also see greater personalization of search intent, the advancement of mobile technology, and voice search. So, you’re well prepared for the new year. It’s up to you to use these strategies.
I wish you a year full of success and an ever-higher conversion rate!
Are you ready for 2019? Do you have any changes you want to make to your website? Do you have any new ideas for 2019?