Web Page Isn’t Ranking On SERPs? We’ll Help You Build an AI Powered Solution

Web Page Isn’t Ranking On SERPs? We’ll Help You Build an AI Powered Solution

The web is a worrisome place. What worked there yesterday doesn’t work today. What works today quite possibly won’t work tomorrow. Yes, We are precisely talking about your web page ranking. A lot goes into creating the perfect content that puts your business on the map. Still, the content might not rank well. Even if it ranks well now, it might plummet due to changing search engine regulations.

How does SERP rank your web page?

Almost 90% of the customer traffic goes to the first page of the search results. So what determines your position?  Search engines work on 200 factors that will determine the rank of your web page. Everything influences your ranking, from keywords to index pages, but ultimately, the usefulness and trustworthiness count.

How can AI help your web page rank better?

Search engines depend on AI and Machine Learning principles like NLP, image recognition, neural networks, deep learning, etc., to rank pages. And digital marketers use SEO tools to boost their rank. They work fairly well, but is there an opportunity to do more?

AI SEO offers the most competitive edge to get the best out of your SERP game. Well, SEO tools have been influenced by AI technology, but basing the entire SEO practices around AI is nothing but a game changer. 

Famous meme of the character Bill Lumbergh From The 1999 comedy film Office Space.
AI Can Help You Rank Better in SEO

Here are some of the issues that affect web page ranking and possible AI SEO solutions:

Duplicate content:

Duplicacy affects the traffic and ranking of a page as it is a matter of trust for the search engines. In the presence of two similar contents, search engines divide the ranking and lower both. While most of us don’t intentionally create duplicity, it makes up 29% of web content.

One of the main reasons for duplicate content is URL variation, where different URLs with a slight difference are created for the same content. Countering duplication for a few web pages is a doable process. It becomes a real challenge when there is a large number of pages involved.

AI and Machine learning can automate spotting the “near duplicate” contents and web crawling for a specific domain for multiple URLs. After spotting, URL variation can be countered by specifying which is the original content to the search engine. This could be achieved by canonicalization processes such as  301- redirect or Rel= “canonical.”

Absence of High-Quality External Links

Backlinks are important to build credibility on specific keyword-related searches. These are the links to your page found on other pages. Having no backlinks has the same negative effect as having too many backlinks or inauthentic backlinks. Link building involves identifying the link authenticity, ranking keywords, and authoritative sites that can post your link.

AI can identify the authoritative domain sites with the right keyword and relevant context.

Further, you can perform a site analysis to check if a site can have the preferred effect on ranking. This is one of the most important aspects of AI SEO, as it can process data from multiple sources and identify variable clusters that impact the search engine ranking.

Search Intent not Prioritized

The content you publish shouldn’t be aimed at just promoting your business. It should also satisfy the search intent of the user. You might publish content with standard SEO guidelines, and yet, if the content doesn’t answer the query of the users surrounding that keyword, the chances are the page won’t rank.

AI can be used to understand the search query by query categorization, query equivalence, and similarity. Input from these processes can create content that first reacts to a particular niche problem and beats the competition.

Slow site speed

Most users abandon a page if the loading time is more than 10 seconds. And even major search engines like Google give high importance to loading speed, favoring pages with good loading speed over others. Bounce rate also increases with the high loading speed time. 

You can use SEO tools like Semrush to perform a speed audit for the page and know the loading speed. The ideal time shouldn’t be more than 3 to 4 seconds. But what to do if the loading time is more?

Most users abandon a page if the loading time is more than 10 seconds. And even major search engines like Google give high importance to loading speed, favoring pages with good loading speed over others. Bounce rate also increases with the high loading speed time. 

You can use SEO tools like Semrush to perform a speed audit for the page and know the loading speed. The ideal time shouldn’t be more than 3 to 4 seconds. But what to do if the loading time is more? 

To counter the problem of loading time, usually content creators will compress the image or videos or even redesign the whole page.

With the help of AI, the whole iteration process can be eliminated. AI can help you study all your previous content and its performance metrics. And draft a guideline that can streamline the entire content production part. These guidelines include the criteria for standard input that has proven to satisfy the loading speed, mobile-friendliness, index and crawl issues, content tone, etc. This is a proactive approach to set a standard for your web pages so that it doesn’t miss anything that helps in ranking.

These are just a few ways in which AI SEO outmaneuvers traditional SEO practices. And this seems to be just the beginning of possibilities that can be achieved with the collaboration of SEO and AI disciplines.

If you want to build an AI solution for your SEO strategies, talk to our experts today.

Leave a Reply