Category Archives: Artificial Intelligence

ChatGPT vs. Google: Can AI Disrupt the Search Engine Giant?

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The search industry is facing a potential shake-up as AI tools like ChatGPT gain traction. While Google still dominates with 83.54% market share, ChatGPT is making waves, capturing an estimated 4.33% of search activity as of October 2024. For a platform just over a year old, that’s a significant milestone.

Unlike traditional search engines, ChatGPT provides conversational, context-aware responses that go beyond simple answers. With 300 million weekly active users and 1 billion daily messages, it’s clear that users are embracing this shift in search behavior. ChatGPT even outpaced Bing’s U.S. website traffic in September 2024, amassing 3 billion visits (SimilarWeb).

Generative AI is also gaining market dominance. ChatGPT leads with 59.2% share of the AI chatbot market, far ahead of Microsoft Copilot (14.4%) and Google Gemini (13.5%). This highlights how generative AI is redefining user expectations for search, prioritizing context-rich, actionable insights over traditional search formats.

However, challenges remain. Current data excludes in-app usage and API calls, meaning ChatGPT’s true market impact may be underestimated. Additionally, treating every prompt as a “search” oversimplifies its use case.

For search marketers, ChatGPT’s rise signals the need to adapt. Optimizing for conversational AI, leveraging AI tools for content creation, and integrating with platforms like ChatGPT are key strategies to stay ahead. As users increasingly value personalized, task-driven assistance, marketers must shift focus from traditional SEO to creating AI-friendly, conversational content.

The search landscape is evolving. While Google remains dominant, ChatGPT’s rapid growth is reshaping what’s possible. The question is no longer if AI will disrupt search—it’s how much. Are you ready to evolve with it?

Practical AI for Content Optimization

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Artificial intelligence (AI) is for most people a mind bending concept. It’s easy to get wowwed by Amazon’s sensor rich ‘Go’ stores (video below) despite only 29 of them in the USA. Or Elon Musk’s Neuralink demo where 3 litlte pigs are running around with a implant to their skull/ cortext the size of a nickel.

Yet what business owners really want is practical AI they can use to improve sales activity, reduce costs and increase profits. Bear in mind that IBM Watson sees Strong AI as a 50 year timeline!

On that note, perhaps the best use of AI we have seen is Otter.ai which allows for video / audio transcription to text be done which allows simple content optimization at scale. For retailers or businesses sourcing customers from within local areas, automating content production using AI is critical.

While we wait for autonomous vehicles to arrive, perhaps the most pervasive AI is the applications like Calendly which help streamline appointment settings, allowing us all to spend time on more important work than back and forth emails to confirm meeting times.

 

 

What Artificial Intelligence really means

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It’s getting ridiculous. My Uber driver today was telling me how AI is changing the world. I just wish they knew how to change lanes safely. See below. That’s how you should think about Artificial Intelligence.

The core of AI is data and and statistics. Somehow that got manifested or redefined into Data Mining (the proceed of retrieval and extraction/ collection) then analysis (statistics, pattern recognition) and then machine learning. So many buzz words. This information is stored in databases and that is often referred to as knowledge discovery in databases (KDD) … then AI came around to bamboozle investors thinking there was some secret sauce beyond Data Mining and Machine Learning.  This graphic is a good one to I like to share. AI is just an extension of all these core ingredients.

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