
Intro
The release of Chat-GPT shook the content marketing industry, and its ripple effects sent shockwaves across the entire digital landscape.
Generative AI is already gaining mainstream adoption in the digital marketing industry. First, it can create high-quality articles in seconds with minimal human intervention.
Image Source: Reddit
Secondly, it automates many tasks in SEO, leaving some professionals on the brink of joblessness.
To top it all, major search engines, like Google and Bing, have created similar products to have a stake in the next big thing.
Say hello to the new Google Search Labs (The Search Generative Experience):
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In a closed interview with Godwin Oluponmile, content copywriter and strategist, he pointed out that SEO is an ever-evolving space. And I agree. There’s no need to be on pins and needles because of the recent or upcoming updates since it only signifies advancement in the industry.
While 30% of marketers think AI will negatively impact search in the next five years, we should be looking to embrace this disruptive change. Marketing professionals and SEO experts should learn how generative AI, amongst other advancements, can be used to their advantage.
Let’s discover how.
1. User Intent Clustering
Search intent is the powerhouse of SEO. It has always been a core part of Google’s central strategy. And understanding how this works will always set you up for success, with or without AI.
Google uses a more sophisticated system (natural language processing, NLP, and machine learning systems) to understand the intent behind search queries. And as technology advances, these systems will get even more adept at delivering accurate search results.
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Search intent in this new era has transcended the keyword-centric approach. Not that keywords won’t matter— According to Timothy Warren of the Helium family of brands, the future of dominating the SERPs lies in entity-based SEO. Or what we could call content resonance.
In this case, search engine bots aren’t looking for keywords relevant to search queries. Instead, they’re trained to generate the most accurate search results by connecting user intent and context. This entity can be a person, place, or thing with a distinctive web identity.
Entities form intent clusters and allow brands to target all related information concerning that entity to rank on the SERPs. Compared to keywords, it targets the whole concept behind a search query.
How does this help you improve your SEO?
Create a customer-focused strategy:
Chat-GPT and other large language models can create diverse types of content, but they can’t structure your content in a way that addresses the nuances of your customers as you do.
Each company is unique, and how you address your customer’s pain points differs.
Also, understand that the content that’ll beat AI is heavily invested in users.
Emma Moorman, marketing services product director at Informa Tech, shared in her presentation at the Content Marketing World event in 2023 how personalized content makes the buyer journey easy and is critical in increasing conversion rate.
I agree.
Personalized content factors in the various core challenges your readers face at every stage of the marketing funnel, so the content feels like it's made for them. This form of "content empathy" doesn't only improve SEO performance; it educates your customers or potential customers more and can increase bottom-line revenue.
Target keywords with purchase intent
Buyer intent keywords are the search terms web searchers use when looking to make a purchase. They are vital as they drive ready-to-buy leads to your website.
How do you do this?
In the previous Search 2.0, creating a separate page ranking for each keyword in your cluster was imperative. But this search 3.0 demands a more streamlined, narrow approach.
It doesn't matter if your web page contains the exact keywords used in the search query. It can rank well on the SERPs if relevant based on entity relationship.
Let’s assume a user searches for ‘the best smartphone for photography and content creation.’
In the previous Search 2.0, search engine bots would scan web pages to rank those containing these keywords.
But in Search 3.0, the bots try to understand the intent behind the search query to provide accurate and valuable information on ‘smartphones’ and their photographic capabilities.
So, content that doesn’t specifically contain the keyword
