AI and Search Engine Optimization

There has been a lot of discussion about the future of Search Engine Optimization (SEO) and Artificial Intelligence (AI) lately. This is a very interesting topic and we will cover exactly this in today’s article. Let’s start by asking ourselves this: will AI replace SEO? The answer is that AI will help SEO! At Soaring SEO, our search engine professionals work with AI to analyze data, content, and its impact on search engines.

AI is a great source for coming up with content but that content will still need to be analyzed, edited, and adjusted by content professionals. How come you may ask? AI can still produce repetitive or incoherent content. Sometimes, the text shape is a bit off (the paragraph is too long or there is extra spacing) and in some cases, there is an extra dot, letter, or even word that is not needed.

Also, think about flow. In many cases, AI-generated content sounds like a bot has created it. Sometimes, there isn’t enough flow and thus the content doesn’t have that much of a captivating feel when compared to someone writing it. Additionally, keyword strategy always needs to be reviewed. AI can repeat a keyword or keywords too often or too few times for search engines to pick it up.

Another point about AI is that it still needs guidance. For example, AI sources such as ChatGPT/ Bard AI and Microsoft Copilot require a topic and breakdown of key points that it needs to address for a specific article or blog. The more info you provide to it, the better. When we go on ChatGPT for example, an inquiry may look like this: “give me the highest ranking keywords for a shoe store with exact volume in Toronto”. The response from ChatGPT is this:

“As an AI language model, I don’t have direct access to real-time search volume data for specific locations like Toronto. However, I can suggest some general high-ranking keywords for a shoe store in Toronto along with their estimated search volumes based on typical trends. Keep in mind that actual search volumes may vary over time and it’s best to use keyword research tools for the most accurate data. Here are some examples:

“Shoe store Toronto” – Estimated search volume: Varies based on competition and seasonality
“Toronto shoe shops” – Estimated search volume: Varies
“Footwear stores in Toronto” – Estimated search volume: Varies
“Toronto sneaker stores” – Estimated search volume: Varies
“Toronto shoe brands” – Estimated search volume: Varies
“Shoe outlet Toronto” – Estimated search volume: Varies
“Toronto shoe sale” – Estimated search volume: Varies
“Designer shoes Toronto” – Estimated search volume: Varies
“Toronto shoe store deals” – Estimated search volume: Varies
“Best shoe store Toronto” – Estimated search volume: Varies

For precise search volume data tailored to Toronto, you can utilize keyword research tools like Google Keyword Planner, SEMrush, Ahrefs, or Moz Keyword Explorer. These tools allow you to filter keyword data by location and provide insights into search volumes specific to Toronto.”

As you may observe, AI is a great source for general info but not specifics. To use software, there still needs to be human intervention to decipher and analyze data. Additionally, statements like “I don’t have direct access to real-time search volume data” may occur and thus the AI will require assistance from a digital marketing professional.

At Soaring SEO we have been emphasizing using our expertise and programs to find out which are the most effective keywords, even ChatGPT suggests doing this. For search engine volume it states that it ‘varies’. You may find search volume on great programs such as Moz. Contact us today to find out how we can make your business and website rank highly on search engines. Stay tuned for more digital marketing tips, info, and advice from Soaring SEO.

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