How to use AI for link building and improve your search rankings
As artificial intelligence (AI) continues to grow in popularity among consumers, marketers working in search engine optimization must consider how it can make their work easier and help them get better results.
The use of artificial intelligence (AI) has permeated the mainstream, as companies like Apple, Microsoft, Amazon and Google work diligently to make voice commands and voice search integrative parts of their OS and user experience.
AI’s applications in the search engine optimization (SEO) world are continuing to expand to new horizons. Many have likely heard of the Y Combinator-backed RankScience, which uses thousands of A/B tests to determine how best to positively influence search engine rankings. Complete handling of SEO from AI is likely not going to catch on quickly, however, and there isn’t software currently that handles many of the important aspects of SEO.
While no software exists that leverages AI to build links, we can nonetheless use multiple types of software for various stages of the link building process, including:
- data collection, by using natural language processing to determine if the sites are contextually relevant and keyword relevant.
- site analysis, to determine if the site in question will predictably have an impact on ranking.
This means that AI can be used to augment, automate or automatize processes. Link building specifically can’t be a fully autonomous process, but we can leverage AI to augment human processes to increase efficiency of finding bloggers/influencers and improve the quality of sites that we approach for links. Below is the process for leveraging existing AI in link-building campaigns.
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