AI Search vs Google Search

Artificial intelligence (AI) and AI-related news have been ubiquitous in the media lately. From the stock market to various social media platforms, it seems everyone is talking about it. AI is being used today in different industries, from finance to healthcare and online search.

What is AI search? Also referred to as AI-powered search, it's the next generation of search technology that seeks to deliver a relevant and user-friendly search experience. Its core technological components are Machine Learning, which analyzes large amounts of search data and user behavior to refine search results; and Natural Language Processing, which enables it to understand and interpret the nuances of human language, thereby allowing AI search to grasp user intent from the words used in a query.

AI search is able to customize results to the user's specific needs even if the query isn't properly phrased. It uses semantic search that focuses on the meaning behind a search query for a more accurate result. It can handle multi-part questions and can even suggest relevant searches and complete queries as the user types. AI search is revolutionizing online search. There are even rumors of a Google-Apple AI collaboration in the near future.

Google search has been the dominant search engine over the past two decades, with billions of users worldwide that rely on it for their daily information needs. According to HubSpot, a reputable developer and marketer of software products for inbound marketing, sales, and customer service, Google owns more than 92% of the global search engine market share (including 72% of the desktop market and 92% of the global mobile market). Bing has 2.9% and Yahoo 1.1%. People associate Google with reliable search results and may be hesitant to switch to a new search engine.

Google has indexed billions of web pages and other documents. While AI-powered search engines may offer specialized features or niche capabilities, they can't match Google's comprehensive indexing. In addition, Google integrates AI and machine learning technologies into its search engine. This makes it challenging for AI search engines like Andi AI, Metaphor AI, Brave AI, You AI, Phind AI, Perplexity.ai, etc.

Google also benefits from network effects, where the value of its search engine increases as more people use it. Time will tell if new search engines will succeed in replacing Google's search engine since they would need to attract a critical mass of users and generate superior search results to compete effectively.

In my opinion, it is unlikely that they will replace Google search in the foreseeable future with its widespread use, brand recognition, and continuous research and development activities.