The maker of your favourite Generative AI tool, ChatGPT, is about to take a bold step. Rumours suggest a new search engine is in the making that might try to compete with Google.
This doesn't come as the biggest surprise, knowing that
ChatGPT already has a Web Crawler known as GPTBot.
ChatGPT has integrated the Bing search engine through which users can browse Bing or search for something.
Open AI's GPT4 uses Microsoft Bing for custom search
At the end of all this evidence, we can conclude that it didn't take a very long time for this big player to shoot its shot at Google with its game-changing AI.
Not a very long time ago, Google rebranded its AI bard to Gemini, which runs on Gemini's large language model with a few added features.
How is this possible?
The simple reason is that both ChatGPT and Google run on LLM.
Why should we care?
Open AI made history in 2022 with the creation of ChatGPT, which works on a similar line to a search engine, with the difference being that this search engine can answer any questions. So, if OpenAI launches a search product, it will definitely be worth the watch to see it become a new source of information with significant organic traffic and provide value for brands and organizations.
To understand how far ChatGPT has to go, Google had an estimated 84.2 billion visits in December, while ChatGPT had an estimated 1.6 billion.
A source confirmed to Mobiloitte confirmed that OpenAI, backed by Microsft, has been designing and developing a new web search product that will directly compete with Google search. Additionally, the source mentioned that this search will be heavily backed by Bing, one of Google's best competitors. This isn't the first time and definitely not the last time that Microsoft will take a step to secure the position of either second or third place near Google.
Our source tried to get more coverage from both the parties, Microsoft and OpenAI, but none of them mentioned a single word.
Open AI is the most well-known successful player in the AI game, but Google has always proven its dominance when it comes to manual search for real content. Upon testing ChatGPT vs Gemini (formerly known as bard). Results: ChatGPT 4 gave better output with more logical reasoning and context and responded better to follow-up questions than Gemini. Gemini may have more weight once it gets integrated with other Google products.
The war is a serious one, and it takes some real game to battle against Google; it's definitely a challenging move, to be honest, very similar to David and Goliath.
What would really happen if Open AI launched its own Search Product?
Innovative Search Experience:
Since ChatGPT has expertise in natural language processing and understanding, the search can hence be more intuitive, natural, and conversational. Users would naturally interact with the search engine by making natural language queries, which would help in the translation to better accuracy and relevance in search results.
Personalized Recommendations: With the right knowledge about what its users like and their contexts, ChatGPT could make great strides into highly personalized recommendations for the user to find what they need. It is very likely these search results will be much more personal to certain interest areas, behaviours, and prior interactions.
Integration into Conversational Interfaces: The chat product would easily find its integration into any conversational interface, be it a chatbot or an assistant one would have in place. In fact, it will enhance the conversational capability of these interfaces in making a huge pool of knowledge and information accessible.
Ethical and Bias Considerations: OpenAI, thus, would have to treat ethical issues and biases seriously with respect to the retrieval of search results. Making search algorithms fair, transparent, and accountable will be key to developing trust with users and avoiding the fallout of such endeavours.
Competition with Established Players: Launching a search product would make it compete head-to-head with those tech juggernauts fully entrenched in the Market—like Google and Bing and so on. In support of the product, there must be some differentiation that OpenAI could offer—perhaps unique features, better user experience, or special search capabilities.
Data Privacy and Security: The data privacy and data security built within the open AI search product have to be held to the highest standard possible. Solid data protection and a clear privacy policy would build trust among users.
Monetization strategies
OpenAI may explore using various monetization strategies with its search product, such as targeting advertising, subscription-based models, or partnering with other businesses. Balancing the need for earnings and concerns for user experience and privacy will be a key long-term success challenge.
Feedback and Iteration: Continuous feedback from users, iterating to improve the search product over time. OpenAI will iterate with algorithms, the user interface, and its features over time, driven by user input and evolving search trends.
As OpenAI ventures into redefining web search with AI, explore how Mobiloitte's expertise in Open AI development can empower your business to navigate the future of technology.
At Mobiloitte, our unique Open AI development solutions help you be at the forefront of the Market. From Model Training, Natural Language Processing, Machine Learning, User Interface (UI) Design, API Development, Feedback Mechanism, and Content Moderation to Ethical AI Considerations, Mobiloitte covers every development spectrum.
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Keywords used
AI-Powered Search Platform
Generative AI
ChatGPT
Web Crawler
GPTBot
Bing Search Engine
Microsoft Bing
Google Bard
Large Language Model (LLM)
Organic Traffic
Information Source
Personalized Recommendations
Conversational Interfaces
Data Privacy and Security
Monetization Strategies
Feedback and Iteration
Natural Language Processing (NLP)
Machine Learning
User Interface (UI) Design
API Development
Content Moderation
Ethical AI
Customised Open AI Solutions