To answer this question, some of the best new AI products were put to the test. Based on information from SEO research company Ahrefs, a list of the most searched questions on Google was prepared to ask various artificial intelligence tools. The obtained results showed that in some cases, chatbots based on the linguistic model appear more useful than the Google results page; But for the most part, it became clear how difficult it would be for artificial intelligence (or anything else) to replace Google at the heart of the web. This is like trying to replace skilled librarians with robots; A robot may be smart, but it lacks the intuition, expertise, and experience of a librarian.

According to experts in the field of search, there are basically three types of search on the Internet. The first and most widely used of them is website search, in which the user types the desired website name in Google and then clicks on the relevant link. Almost all top Google searches from YouTube to Wordle and Yahoo mail fall into this category. In fact, “getting the user to the website” is the main job of the search engine.

But artificial intelligence bots think for a few seconds after you type the word “Zoomit” in their box, and then provide a series of not-so-useful information about the company, while all we wanted from this search was a link to access the website; Let’s say that some chatbots don’t even give the website link to the user at the end of this information.

Additional information is not always useful, especially in searches where we just want to be directed to another website because generating this amount of information is time-consuming for artificial intelligence tools.

Read more: How to use ChatGPT on Android and iOS

Artificial intelligence cannot be trusted for live and immediate issues like sports scores. For example, when I asked about the latest result of the Newcastle vs Everton football match on Tuesday 14 April 1403, both You.com and Perplexity gave me outdated information, but Copilot’s answer was correct. But unlike artificial intelligence bots, Google not only announced the result correctly but also provided useful statistics and information such as ball possession percentage, number of red and yellow cards, offside, and a view of each team’s football system.

Search “Newcastle and Everton football team result” in Google

Google’s extensive data often allows the search engine to provide relevant information and additional useful statistics to the user. But artificial intelligence bots may not be able to provide you with personalized information that seems useful, like Google, because they do not have access to things like your location and personal information. In this type of information search, Google’s ability to consider specific user contexts distinguishes this search engine from other artificial intelligence systems and gives it an advantage.

When it comes to informational questions where time doesn’t affect their results, like “How many weeks are in a year” or “When is Women’s Day”, almost all AI bots get the answer right. In many cases, AI answers help to understand the answer by providing useful additional information; But for now, you can’t trust all the information they provide. When asked how many weeks are in a year, Google said there are 52.1429 weeks in a year, but You.com explained that each year is actually 52 weeks and one day, plus an extra day in leap years. 52 weeks and two days). This section of You.com’s additional information was more helpful than Google’s answer.

Perplexity’s answer was not as good as the other bots, as he initially said that a normal year is actually 52 weeks and a leap year is 52 weeks and one day; But in the subsequent explanations, he contradicted his initial statement and provided more correct explanations. These contradictions make the user spend more time searching to ensure the accuracy of the AI ​​answer. If the user has to search again to verify the summary information that is supposed to get him the answer faster, Google will undoubtedly take less time from the user because it is more reliable.

When we search for the phrase ” screenshot on Mac ” in Google, millions of pages come up to answer this search on the Internet, which we have to open until they finally tell us to press Cmd + Shift + 3 keys to take a picture of the entire screen. and press Cmd+Shift+4 to take a picture of a part of the screen. However, even Google’s Search Generative Experience (SGE), which quickly finds key points on a web page, doesn’t fully point to the answers, and you have to open websites to find out other ways.

Copilot’s answer to taking screenshots on Mac

In this sub-genre of information searches, artificial intelligence tools are the winners; Because they select all the useful information from the articles and provide them directly and in one place (a matter that affects copyright and the position of websites in Google search).

The third type of search in Google is exploratory searches that do not have a single answer and instead are the beginning of a learning process. For example, “How to tie a tie”, “Why was the chainsaw invented” and “What is Tik Tok” are among the most popular research questions. If you’ve ever Googled the history of NASA or the name of a musician you recently heard about, you’re exploring. Statistically, exploratory search is not as popular and widely used as guided and informational search, but this is exactly where AI search engines can shine.

The answer is plexity due to the invention of the chainsaw

In response to the question, “Why was the chainsaw invented,” Copilot wrote a multi-part answer on the medical origins of chainsaws before describing their technological evolution and eventual adoption by woodcutters, and finally providing useful links to further reading. Perplexity’s response was shorter but included some interesting pictures of vintage chainsaws. Google’s results contained a large number of similar links, but lacked the artificial intelligence combinations; Even Google’s generator search only listed basic information.

The most searched question on Google is a simple question: “What to see”. Google has designed a completely dedicated page with different rows of suggestions for this question. This page contains top picks, the most popular, and newest, and dozens of other categories curated for you. In answering this particular question, Google’s targeted design outperforms both chatbots and traditional search results. When bots were asked the same question, none of the AI ​​search engines performed as well as Google. Copilot listed five new popular movies. Perplexity suggested a random set of movies. You.com also offered old information, recommending to watch “14 Netflix Picks” without naming them.

Copilot’s suggestion to watch movies

In this type of search, artificial intelligence is a good idea because it is based on an algorithm; But the chatbot is the wrong user interface. Obviously, Google knows how popular the question “what to see” is, so it was able to design the answer in a more useful way by identifying the behavior of users. While chatbots are valuable for certain tasks, they may not excel in scenarios where visual presentation and efficiency are important. Google’s specialized approach and design show that for specific requests, the right user interface can significantly increase the user experience.

Artificial intelligence is an amazing technology and chatbots are powerful tools, but they alone cannot replace traditional Google search; Because a successful search goes beyond answering questions and includes understanding the user’s search intent, considering the context, and providing relevant information.

Now the question is: can Google optimize its results pages, its business model, and the way it summarizes and presents information in an AI style before chatbots, AI companies can quickly turn their chatbots into better tools for searching the Internet. ? Whatever the answer, it’s going to take more than a few chatbots to take down Google.