The Google Broad Core March 2023 update is done rolling out. The update started on March 15, 2023, and the announcement that the rollout was complete was made on the Google Search Status Dashboard. The update took 13 days to complete and has had a significant impact when compared to previous updates.

Google Core updates usually have a big effect when it comes to search results; any change, whether good or bad, will impact conversions, organic traffic and revenue. These updates can be quite useful when it comes to determining whether any changes you’ve made are affecting your rankings or the updates are the cause.

If you do find that your ranking has taken a hit, now is the time to do a deep dive to determine what changes can be made to improve your rankings. Once you’ve made the necessary changes to your site, it could take a few months to recover.

Google usually has updates a few times annually. The previous Google Core update took place in September 2022, intending to improve the overall quality of search results. 

For more details on the Google Core March 2023 update, visit Search Engine Land here.

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Google Search Advisory Receives Alerts on Extreme Heat: To assist people and towns in adjusting to the rising temperatures brought on by climate change, Google has unveiled a number of initiatives. The  Google.org Impact Challenge for Climate Innovation will provide a $5 million grant to the World Resources Institute, as well as new excessive heat alerts on Google Search and an expansion of the Tree Canopy tool for urban planning. This is due to the frequency of extreme weather events increasing along with search interest in heat waves. Google will soon roll out excessive heat alerts in Search to deliver precise and practical information during such situations. Searchers will find information about the length of a heat wave, suggestions for staying cool and related health hazards. In order to guarantee accurate and timely information, Google has partnered with the Global Heat Health Information Network (GHHIN). For more insights, visit Search Engine Journal here.

Google Makes Various Improvements to Search Features: Google is constantly working to make it easier for users to assess content and find other points of view. As the internet expands and changes, getting accurate and trustworthy information can be difficult. Google is making an effort to offer customers new solutions in response to this difficulty. The updates include a new ‘About this Author’ feature, expansion and improved access to the ‘About this result’ feature, new perspectives added to ‘Top Stories’ as well as updates to address information gaps. In the digital age, Google’s commitment to providing tools for evaluating and comprehending search results is crucial. Users can choose what they read online more wisely if features like “About this result,” “Perspectives” and “About this author” are improved and made more widely available. For more details, visit Search Engine Journal here.

Which Generative AI Tools Produce the Best Responses?: The fastest program to ever gain 100 million users was OpenAI’s ChatGPT, which exploded into the market in November 2022 and did it in just two months, breaking TikTok’s record in 2009. After this rapid succession of announcements, one pressing question remains: which generative AI solution is the best? Four AI tools were the subject of the study: ChatGPT, Bing Chat Balance and Creativity) and Bard. The same 30 questions were asked of each generative AI tool in various subject areas. Scores for the metrics under examination ranged from one to four, with one representing the best and four the worst. The parameters we monitored for all the responses we looked at were how closely the answers stayed on topic, the level of accuracy of responses, completeness and overall quality. The most accurate AI tool was OpenAI, receiving a 100% score 81.5% of the time. Google Bard was the most accurate, scoring 63%. In terms of quality, ChaGPT got a perfect score 11 of the 30 times it was tested, while all four AI tools scored over 50% when it came to complete results. Visit Search Engine Land here for a comprehensive look at the study results.

Mozilla Open Source AI Announces Competition for Bard and ChatGPT: Mozilla announced that it’s creating an open source artificial intelligence (AI) development project that would compete with Microsoft, OpenAI and Google by putting open source AI products that are transparent, accountable and trustworthy at the forefront. The most important open source software programs that account for modern life, including Android, WordPress, PHP, Nginx and Apache, are numerous. If Mozilla’s efforts are successful, they will be at the forefront of altering the course of AI. They have stepped up their efforts to compete with tech giants such as OpenAI and Google by establishing a company that creates free, open source AI. Mozilla has committed $30 million towards the creation of a competing system to the closed ones created by major internet firms that prioritize profits. Humans will come first in Mozilla’s strategy as they do in everything they create. For more on this announcement, visit Search Engine Journal here.

New ChatGPT Clone Emerges, and Its Name is Dolly: Open Source GPT Chat, takes another stride forward with the addition of the Dolly Long Language Model (DLL), created by the business software firm Databricks. Dolly, the name of the new ChatGPT clone, pays homage to the sheep of the same name, which was the first animal to be cloned and is also the most well-known sheep in the world. The Dolly Project is the latest manifestation of the emerging open source AI movement, which aspires to increase access to technology and prevent it from being monopolized and controlled by large corporations. One of the problems driving the open source AI movement is the possibility that companies may be hesitant to hand over sensitive data to a third party that controls the AI technology. Dolly was developed using open source models developed by EleutherAI, a non-profit research institute, using the Stanford University Alpaca model, which in turn was developed using Meta’s Large Language Model Meta AI or LLaMA model. Despite being smaller, LLaMA can surpass many of the best language models, including OpenAI GPT-3, Gopher by DeepMind and Chinchilla by DeepMind. For more information on Dolly, visit Search Engine Journal here.

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