OpenAI's SearchGPT aims to rival Google Search by offering a new AI-driven approach to finding information online. It compiles its answers using data from Bing and other sources. Reports from early users say that the tool sometimes provides inaccurate or hallucinated information. The tool is not yet ready to challenge Google's dominance.

OpenAI, the brains behind the wildly popular ChatGPT, aims to rival Google Search by offering a new AI-driven approach to finding information online. SearchGPT compiles its answers using data from Bing and other sources. Reports from early users say that the tool sometimes provides information that is inaccurate or “hallucinated,” presenting confident but incorrect answers.

OpenAI has announced a prototype of an AI-powered search engine with real-time access to information across the internet. SearchGPT can summarize findings and answer questions about queries. It will only be accessible to 10,000 test users at launch. OpenAI is working with third-party partners and using direct content feeds to build its search results.

7 takeaways about ChatGPT's new search engine for SEO professionals. SearchGPT seems to be much better at giving correct answers and avoiding hallucinations compared to Google's AI Overviews. It also includes more external citations, in many cases showing 5+ citations in the content itself. SearchGPT appears to favor affiliate and aggregator sites for software and commerce queries, more so than individual product or landing pages.

OpenAI is testing out a prototype search system.

Emerging AI-driven search tools challenge Google by offering direct and explorative answers, but struggle to match its speed, diverse functionalities, and efficient data presentation, underscoring the complexity of replacing traditional search with AI.

OpenAI has announced a live stream event scheduled for May 13 to present updates related to ChatGPT and GPT-4, possibly including the launch of an AI-powered search engine.

Google introduced AI Overviews to enhance search results, providing users with more accurate and relevant information, especially for complex queries. While some issues arose, such as erroneous results and misinterpreted content, Google has implemented over a dozen technical improvements to address these challenges, including better detection of nonsensical queries and limiting user-generated content in AI Overviews.

AI-generated content is becoming a big problem in Google Search results. About 10% of Google results now consist of AI content, posing challenges for Google's algorithms. There are concerns that this may lead to a collapse in model quality as AIs feed on each other's output.

Google's AI Overviews, powered by the Gemini language model, faced heavy criticism for inaccuracies and dangerous suggestions after its U.S. launch. Despite the backlash, Google expanded the feature to six more countries, raising concerns among publishers about reduced traffic and misrepresented content. AI strategists and SEO experts emphasize the need for transparency and better citation practices to maintain trust and traffic.

Google's AI Overview product has been generating bizarre responses, prompting the company to manually disable the feature for specific searches. Errors include suggestions to eat glue or rocks. Google maintains that its AI outputs high-quality information, though it acknowledges some errors and is working on improvements.

OpenAI is reportedly planning a major announcement on May 9, possibly unveiling a new search engine that could challenge Google. This engine may use Microsoft Bing's infrastructure, aligning with OpenAI CEO Sam Altman's vision of revolutionizing information discovery beyond the current Google model. If true, this could significantly disrupt the search engine market and how users find information online.

Google is piloting AI-generated overviews in search results for complex queries with a subset of U.S. users without requiring opt-in to its Search Generative Experience. This feedback-driven test aims to enhance user experience and may impact site traffic dynamics due to changes in ad placements and organic search visibility.

Google is incorporating AI into its search engine with features like "AI Overviews" and a new planning tool. It aims to deliver summarized answers, automatic categorization, and personalized results using its Gemini AI to understand queries, generate summaries, and design result pages. For users, this could mean a completely new way to interact with the internet: less typing, fewer tabs, and more chatting with a search engine.

Reports indicate that OpenAI is looking to launch a search engine soon. OpenAI's in-house event on May 9 may focus on its release, although the event times and date may be subject to change. Google has scheduled its annual developer conference for May 14 - OpenAI's event may be a strategy to upstage Google before the search giant makes its AI announcements. This article presents the evidence for OpenAI's search plans.

Google recently launched AI Overviews, an AI-powered search feature designed to help users with complex queries. Odd and erroneous overviews were reported on social media, some of which were faked. Google explained that AI Overviews, unlike chatbots, are integrated with the company's core web ranking systems and prioritize accuracy by linking to reputable sources. The odd results stemmed from misinterpretations of nonsensical queries, satirical content, and user-generated content, as well as data voids. Google has now made improvements to detect these issues.

OpenAI's GPT Store has become a mix of innovative tools and questionable content, including potentially copyright-infringing GPTs and bots promoting academic dishonesty.

GPT-4's dominance in AI benchmarks has been challenged by four new models from different vendors, each showing the potential to surpass GPT-4's capabilities. However, concerns arise as, amidst growing legal and ethical considerations, none of these models are open-source or transparent about their training data. The push for models trained on public domain or licensed content continues, highlighting the complexity of creating competitive AI without proprietary data.

Google's global search market share bumped up to 91.1% in June while ChatGPT's web visits fell 12%. Rising ad revenue from Google Search helped boost the company's profits by nearly 60% in the first quarter. Google's AI overviews may be helping Google Search grow its footprint. Integrating AI into its products will likely help drive higher usage and increase monetization across Google.

Google's AI Overviews are now visible in fewer than 7% of queries, particularly dropping in education, entertainment, and e-commerce sectors. The presence of AI-generated content has been reduced due to issues with incorrect and hazardous answers, with Google focusing on enhancing accuracy and reducing reliance on user-generated content from sites like Reddit and Quora.

Google CEO Sundar Pichai discusses the integration of AI into Google products and its potential impact on the web. Google's new AI-powered search feature, AI Overviews, provides users with more context-rich search results. There are concerns from content creators about traffic loss, but Google is trying to balance user satisfaction with the needs of content creators.

OpenAI appears to have accidentally published a blog post that was indexed by Bing and DuckDuckGo before it was quickly taken down. The post was an announcement for GPT-4.5 Turbo, a new model that surpasses GPT-4 Turbo in speed, accuracy, and scalability. The cached description mentions a knowledge cutoff date of June 2024 and a 256k context window. OpenAI has not commented on the leak.

Google is reportedly considering making the Search Generative Experience (SGE), which has been available through Search Labs for nearly a year, a paid feature as part of its Google One AI Premium subscription.

Billions of Google users will soon see AI-generated summaries at the top of many of their search results. The AI Overviews are designed to take out the hard work of searching so users can focus on the important things. Google announced several other AI-powered features at its I/O developer conference, such as a feature in Lens that lets users search by capturing a video, a planning tool that can generate trip itineraries and meal plans with a single query, and suggestions within search results. While similar products have come under scrutiny for summarizing content and not directing users to the actual sources of information, Google says that early data shows that the new way of searching will actually lead to more clicks to the open web.

OpenAI's ChatGPT has varied performance in code generation, with success rates ranging from less than 1% to 89% depending on factors like task difficulty and programming language.

Despite indisputably reshaping how people across the globe seek answers to their questions, ChatGPT won't be dethroning Google Search anytime soon. Google's global search market share bumped up to 91.1% in June, while ChatGPT web visits fell 12%. Rising ad revenue from Google Search also helped boost Google's profits by nearly 60% in the first quarter.

The development of AI, particularly large language models like GPT-3, is heavily reliant on vast amounts of data, with companies like Meta and Google racing to gather more as high-quality online data may run out by 2026. Tech giants are employing controversial methods, including using YouTube data and considering the purchase of publishers, to fuel their AI advancements. The use of 'synthetic' data is a potential solution, though it carries the risk of amplifying AI errors.

The development of AI, particularly large language models like GPT-3, is heavily reliant on vast amounts of data, with companies like Meta and Google racing to gather more as high-quality online data may run out by 2026. Tech giants are employing controversial methods, including using YouTube data and considering the purchase of publishers, to fuel their AI advancements. The use of 'synthetic' data is a potential solution, though it carries the risk of amplifying AI errors.

Generative AI tools like ChatGPT are increasingly producing fraudulent research papers, infiltrating databases like Google Scholar alongside legitimate studies. These papers, often on controversial topics like health and the environment, pose significant risks to scientific integrity and public trust. Enhanced vigilance and more robust filtering in academic search engines are essential to curb this growing issue.

OpenAI and Google have introduced advanced AI models that enable real-time multimodal understanding and responses and promise improved AI assistants and innovations in voice agents. OpenAI's GPT-4o boasts double the speed and half the cost of its predecessor, while Google's Gemini 1.5 Flash delivers a significant reduction in latency and cost. Both tech giants are integrating AI across their ecosystems, with OpenAI eyeing consumer markets, which could potentially reach up to a billion users, with its products and partnerships.