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Top Reasons why AI Chatbot won’t replace Search Engines, yet
by Dr. William Sen | CEO and founder of blue media

Top Reasons why AI Chatbot won't replace Search Engines, yet

Is AI Chatbot a Threat to Google's Business Model?


1) Where Did You Get That?

When Chatbot responses to a question, it doesn’t reveal where the information is coming from. The user has to rely on the response. However, trust is one of the most important aspects when it comes to communication — who to trust and why to trust a source are the main factors not only in online marketing, but in everyday life.

Especially in online marketing, trusted zones that people rely on are mainly known as the Gate Keepers in the internet. We tend to trust sources that have branding — the perception of the user is different when reading an article on the New York Times or Forbes versus a Blog or website they never heard of.

However, AI Chatbot does not reveal where the information is coming from — and therein lies one of the problems for a user. Whereas a Search Engine will list you a choice of sources — AI Chat on the other hand is one only source, where a Search Engine is a buffet of knowledge where you can choose from.

2) Do I Know You?

When it comes to everyday communication, from an emotional perspective, you will have a gut feeling of what’s right or wrong. When a red flag rises because the person you are talking seems to be whimsical, you might not trust that person.

AI Chatbot is not a person, and therefore your human instincts that have been evolved for millions of years and have been protecting you like an intact shield, are now excluded.

More rationally driven people that are more common in successful businesses and science on the other hand tend to want to know about the competencies of a person they are getting advice from. That is why most consultants would usually introduce themselves and their background story, before providing advice.

The AI Chatbot’s experience is based on its obscured database — the user has no ways of knowing who it was that provided that information and only sees the interpretation of some robot that is able to construct gramatically correct sentences.

A Search Engine on the other hand can provide articles written by real authors that often reveal their biography and background on their profile page.

3) Just Looking for the URL …

It is wrongly assumed that most of the users are seeking for answers on Search Engines. Most users do not write questions into a search engine, and also do not want to.

According to ahrefs.com [1] the most common search phrases used on Google are website names, i.e. the user is simply trying to find out how to get to a websites such as Facebook, YouTube, Amazon, Walmart, Home Depot, Google Translate, and the Costco Website.

They might have just typed in the URL themselves, but it seems that it’s easier to avoid spelling errors and the cumbersome “.com” or similar suffixes. Instead they rely on Google’s Results.

On the AI Chatbot you couldn’t just type “Walmart”, as the AI Chatbot would expect a question which then defeats the purpose of fast and easily finding a website’s URL. Chatbot would not understand your intention and most-likely will tell you what Walmart is.

Other search queries include the search for restaurants, items to buy, news, travel, where the user is not expecting a long-winded response, but a simple list to choose from.

Users also want explore different options by typing in different numbers into form fields, such as Loan Calculators. A long-winded conversation with an AI Bot is not necesseraliy what the user wants, as many merely want to enter their preferences in a field and then hit “Show me”.

This and more might not be covered by the AI Chatbot as the Chatbox is — that’s why the name — is an entity that is great for chatter.

4) How’s the Weather, Mr. Intelligent?

One of the major challanges with AI Chatbots for the next decades will be two things:

1) Speed

The speed to respond to questions, and access to real-time data. Natural Language Processing is one of the most sophisticated fields in the Information Technology as of today. Even with extremely high processing computer technologies AI technologies are not able to process Big Data in a timely manner.

The AI Chatbox Experience we are a part of as of today is a good example. Its database was last updated in 2021 and there is a reason why the database is old: Behind is an an enormous calculation effort to put that mass amount of data into something that can be retrieved by the AI Bot. It means, the database has been rendering for weeks and if not for months in order to provide these responses.

Realtime Information Retrieval is the AI’s biggest challenge when it comes to fast responses.

Even a simple question such as “Weather Forecast” would put the AI in a difficult situation. Not only it would have to access that information in real-time like Search Engines are trained to, but now it has to interpret that information, and pour it into a Natural Language Process. It’s easier for the AI when the database has been pre-rendered weeks ago.

Theoretically, this is however possible, and over time AI Chatbots and similar tools might be to respond to real-time events and questions like the weather.

But then again, the big question remains how the organizations behind the AI Chatbox will be able manage to build up the tremendous amount of servers and calculation power that giants such as Google have built up over time. The server infrastructure therefore is the second biggest challenge.

2) Server Infrastructure

Let’s take note that it takes Google milliseconds to respond to a question such as “Weather Forecast” which by even today’s standards almost a miracle considering 90 million people type “weather” [1] alone every day — and Google has to provide a respond without almost any wait-time.

It might be not possible for a company to catch up what Google has built, and therefore the economic challenge ist the most important bottleneck.

What are the Chances of AI replacing Google?

If we look at the past, the best products nor the biggest innovations have ever conquered the market just because of that. Winner’s always have been the ones with best the economic strategy, the ability to create and and lead markets, create need and urgency, and masssive sales.

AI is here and is changing our future. It will be used for many things, and will become a part of our everyday life, and for some this is already happening.

But to assume that it will in particular completely replace Search Engines and will make Google’s business model absolute is far-fetched. The outcome of that scenario is unknown, and there is no indication or trend that shows this kind of development as of today.

It is more likely that Search Engines such as Google will continue to develop their own AI which they already have. They will monitor the current developments and AI trends, adjust theirs, and even add new features to theirs in the near future. This is a more likely scenario if you look at how giants like Google have grown over time. If worst comes to worst, Google always has the economic power to buy technologies out like they did in the past such as YouTube, Android, Boston Dynamics, and hundreds of many more companies uncluding AI companies like API.ai in 2016.

This Should Be Funny

To make this more interesting I went ahead after my research and asked AI Chatbot itself this question:

“Tell me 10 reasons why AI Chatbot won’t replace Google?”

This is what AI Chatbot responded:

  • Google has a vast amount of indexed data and sophisticated algorithms for searching and organizing it, which chatbots do not currently have the capability to match.
  • Google provides a wide range of services beyond just search, such as email, calendar, and document creation, which chatbots are not equipped to provide.
  • Google’s search results are constantly updated and refined, whereas chatbot responses are based on pre-programmed rules and data.
  • Google can understand natural language queries and provide relevant results, while chatbots are limited to predefined commands and keywords.
  • Google can provide personalized search results based on a user’s browsing history and preferences, while chatbots typically provide generic responses.
  • Google can perform complex tasks such as calculations and conversions, which chatbots may not be able to do.
  • Google is able to show multimedia search results like images and videos, which chatbots can’t.
  • Google allows multiple users to access and collaborate on documents and files, while chatbots are generally limited to one user at a time.
  • Google is constantly improving its search algorithms and adding new features, whereas chatbots can only improve as quickly as they are programmed and updated.
  • Google has a wide range of third-party developers, who can create new apps and services that integrate with Google, whereas chatbots are limited to the capabilities of their developers.

However, when asking AI Chatbot the opposite question “Tell me 10 reasons why AI Chatbot will replace Google?“, it provided me with this response.

However, many of those information provided seem to be either wrong or need some commenting. Find my comments below the bullet points in red.

  • AI chatbots can provide more personalized and conversational interactions with users, making the search experience more human-like.
  • Chatbots can be integrated into various platforms and devices, making them accessible through a variety of channels such as messaging apps, voice assistants, and websites.
What chatbot is referring to is the ability to connect to other devices throughout an API. Google has been able to do that for years, but it has not been the policy of Google to allow third-party providers to access their database for many reasons. Indeed, Chatbot AI’s power to grow could be to rely on the usage of other innovative companies that are interested in sublicensing Chatbot’s core engine.
  • Chatbots can provide immediate and real-time responses to user queries, whereas Google may not always have the most up-to-date information.
At this point Chatbot is contradicing its first statement. This information is also not true.
  • Chatbots can provide a more interactive and engaging experience for users, as they can hold a conversation and offer suggestions based on user inputs.
That’s a game Google has been playing for quite some long where we can assume that Google is much better in doing this as of now than any Chatbot.
  • Chatbots can be programmed to understand natural language queries and provide relevant results, similar to Google.
Being similar to Google is not a good argument when the question was “will it replace Google?”
  • Chatbots can be trained on specific domains or industries, providing more specialized and accurate search results.
What Chatbot here is referring to is called a “Focus Crawler”. Google has included Focus Crawling to their Topic Detection Algorithm years ago. That way Google already knows which industry, topic, and niches have different ways of displaying knowledge, data, and therefore it displays in different ways. Focus Crawling has lead to what Google calls Widgets in their resuls  — many of them even interactive — that Google will show in their results.

I haven’t seen AI Chatbot utilizing any Focused Crawlers to display Knowledge in different ways, yet.

  • Chatbots can be integrated with other AI technologies such as machine learning and natural language processing to improve search results.
Yes, definietely a plus point for Ai Chatbot. However, this is the same response as before.
  • Chatbots can be used to automate repetitive tasks such as customer service inquiries, freeing up human resources for more complex tasks.
Very true. Thats also the same response as before where third-party providers can access its database on a licence basis.
  • Chatbots can be used in a multi-language setting, making them accessible to a wider range of users.
This is not a USP. Google operates in 219 countries as of 2023. It’s unlikely that this feature of AI Chatbot would be the competitive edge.
  • Chatbots can be used to continuously learn and improve their responses based on user interactions, making them more efficient over time.
Google’s team is data-driven, and real humans improve the Search Engine accordingly based on that data. AI Chatbot works the same way but with a much lesser development team.

Take note that AI Chatbot does not make your input provided a part of their database. It only adds it to your discussion and account. It means that even millions of people interacting with it constantly, it doesn’t update it’s core database. If you correct a wrong information, it will remember it only for you, but not for other users. Because AI Chatbot is not like Wikipedia where information can be updated by its users. That all leads to that AI Chatbot does not learn automatically. It needs a human touch in order to feed that new information to its database, from where it will be then rendered and prepared again for the next version.

Interestingly you can learn a lot how AI Chatbot works when you ask it. It will tell you how it works, and what’s its capabilities and limits are.

Resources:

[1] ahrefs.com/blog/top-google-searches/

CATEGORIES Search Engine Marketing Search Engine Optimization
About the Author
ABOUT THE AUTHOR Dr. William Sen CEO and founder of blue media

William Sen has been an SEO since 2001 and is a Software Engineer since 1996, and has been working as an Associate Professor in Germany for the University of Dusseldorf and Cologne. He has been involved in developing custom SEO tools, large website and software projects. William has a PhD in Information Sciences and has worked for brands such as Expedia, Pricewaterhouse Coopers, Bayer, Ford, T-Mobile and many more. He is the founder of blue media.

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