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Google on Partial and Total Site Deindexing

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Google on Partial and Total Site Deindexing

Google’s Mueller answered a quest from someone whose site was deindexed and lost their rankings. John Mueller offered a list of technical issues that can cause Google to remove a website from the search results.

What’s good about this question and answer is that Mueller discusses two kinds of deindexing, a slow deindexing and a faster deindexing.

SEO Office-hours hangouts are not the place to ask for a diagnosis for a specific website. So it’s reasonable that Mueller did not give the person asking the question a direct answer specific to their website.

Upgraded Yoast SEO from Free to Premium and Lost Rankings

This is the question that was asked:

“I own a site and it was ranking good before 23rd of March. I upgraded from Yoast SEO… free to premium. After that the site go deindexed from Google and we lost all our keywords.”

The person asking the question noted that for the past few days the keywords returned to the search results for a few hours and then would disappear.

They said they checked Robots.txt, and checked the sitemaps and verified there were no manual penalties.

One thing he didn’t mention checking was whether the web pages contained a Robots Noindex meta tag.

Mueller Asserts Yoast Plugin Not the Reason Site Was Deindexed

Google’s Mueller begins his answer by speculating that the deindexing isn’t connected to updating the Yoast plugin from the free version to the premium version.

I think it is reasonable to start with the Yoast plugin and look at the settings. I have had it happen to me where I installed the Yoast SEO Plugin and subsequently discovered that pages had somehow acquired a “noindex, follow” meta description.

I have no idea what caused that to happen, I just noticed that it happened.

In my experience it’s a good practice to not dismiss anything as a reason without first checking it.

So I have to disagree with dismissing the Yoast SEO plugin upgrade as a cause without checking it before ruling it out.

Mueller answered:

“I don’t know… it sounds kind of tricky… I would say offhand it probably doesn’t have to do with the updating of your plugin.”

John Mueller from Google Answering Question About Deindexing

Google John Mueller on Deindexed SitesJohn Mueller discussing different ways that Google removes websites from their index

Why Google Deindexes Websites

Mueller next offers insights into the deindexing process including a long deindexing scenario where parts of a site are slowly deindexed because Google doesn’t consider them relevant.

Mueller Discusses Slow Partial Deindexing

Mueller next discusses a slow deindexing of parts of the site but not the entire site. What he describes next is a partial deindexing.

Mueller:

“But it could very well be a technical issue somewhere.

Because usually… when we reduce the indexing of a site, when we say we don’t need to have as many URLs indexed from a website, we tend to keep the… URLs that are more relevant for that site and that tends to be something that happens over… I don’t know… this longer period of time where it like slowly changes the indexing.”

What the person asking the question was not a slow or partial deindexing. His problem is a total site deindexing.

John Mueller Discusses Full Site Deindexing

Next Mueller described the possible reason why a site might experience a complete deindexing.

Mueller:

“So if you’re seeing something where like the whole site disappears from indexing, it almost sounds like something that might be related to a technical issue… something along those lines.”

Mueller next goes on to recommend going to the Webmaster Help Forums to ask for help in diagnosing the specific issue, something that is inappropriate for the Google SEO Office-hours hangout but appropriate to ask in the Google forums.

Mueller suggests it could be a technical issue, a site quality issue, a spam issue, possibly a hacking event,

Many Types and Reasons for of Deindexing Events

If a site is being deindexed it’s good to check not only the Robots.txt file but also to check the source code of the individual pages themselves to make sure there isn’t a rogue noindex meta description file that is blocking Google from indexing the web page.

There are many reasons why a site could be deindexed beyond the accidental robots.txt and robots meta tag, as Mueller noted. Reasons such as a hacking event or other technical issue that could be blocking Google should be investigated and nothing ruled out until it’s been checked.

Aside from that, the information about the slow partial deindexing and the total site deindexing was good information related to how Google deindexes websites.

Citation

Watch John Mueller answer why websites get deindexed.

He answers the question about the seven minute mark.

Searchenginejournal.com

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Exploring the Evolution of Language Translation: A Comparative Analysis of AI Chatbots and Google Translate

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A Comparative Analysis of AI Chatbots and Google Translate

According to an article on PCMag, while Google Translate makes translating sentences into over 100 languages easy, regular users acknowledge that there’s still room for improvement.

In theory, large language models (LLMs) such as ChatGPT are expected to bring about a new era in language translation. These models consume vast amounts of text-based training data and real-time feedback from users worldwide, enabling them to quickly learn to generate coherent, human-like sentences in a wide range of languages.

However, despite the anticipation that ChatGPT would revolutionize translation, previous experiences have shown that such expectations are often inaccurate, posing challenges for translation accuracy. To put these claims to the test, PCMag conducted a blind test, asking fluent speakers of eight non-English languages to evaluate the translation results from various AI services.

The test compared ChatGPT (both the free and paid versions) to Google Translate, as well as to other competing chatbots such as Microsoft Copilot and Google Gemini. The evaluation involved comparing the translation quality for two test paragraphs across different languages, including Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic.

In the first test conducted in June 2023, participants consistently favored AI chatbots over Google Translate. ChatGPT, Google Bard (now Gemini), and Microsoft Bing outperformed Google Translate, with ChatGPT receiving the highest praise. ChatGPT demonstrated superior performance in converting colloquialisms, while Google Translate often provided literal translations that lacked cultural nuance.

For instance, ChatGPT accurately translated colloquial expressions like “blow off steam,” whereas Google Translate produced more literal translations that failed to resonate across cultures. Participants appreciated ChatGPT’s ability to maintain consistent levels of formality and its consideration of gender options in translations.

The success of AI chatbots like ChatGPT can be attributed to reinforcement learning with human feedback (RLHF), which allows these models to learn from human preferences and produce culturally appropriate translations, particularly for non-native speakers. However, it’s essential to note that while AI chatbots outperformed Google Translate, they still had limitations and occasional inaccuracies.

In a subsequent test, PCMag evaluated different versions of ChatGPT, including the free and paid versions, as well as language-specific AI agents from OpenAI’s GPTStore. The paid version of ChatGPT, known as ChatGPT Plus, consistently delivered the best translations across various languages. However, Google Translate also showed improvement, performing surprisingly well compared to previous tests.

Overall, while ChatGPT Plus emerged as the preferred choice for translation, Google Translate demonstrated notable improvement, challenging the notion that AI chatbots are always superior to traditional translation tools.


Source: https://www.pcmag.com/articles/google-translate-vs-chatgpt-which-is-the-best-language-translator

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Google Implements Stricter Guidelines for Mass Email Senders to Gmail Users

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Beginning in April, Gmail senders bombarding users with unwanted mass emails will encounter a surge in message rejections unless they comply with the freshly minted Gmail email sender protocols, Google cautions.

Fresh Guidelines for Dispatching Mass Emails to Gmail Inboxes In an elucidative piece featured on Forbes, it was highlighted that novel regulations are being ushered in to shield Gmail users from the deluge of unsolicited mass emails. Initially, there were reports surfacing about certain marketers receiving error notifications pertaining to messages dispatched to Gmail accounts. Nonetheless, a Google representative clarified that these specific errors, denoted as 550-5.7.56, weren’t novel but rather stemmed from existing authentication prerequisites.

Moreover, Google has verified that commencing from April, they will initiate “the rejection of a portion of non-compliant email traffic, progressively escalating the rejection rate over time.” Google elaborates that, for instance, if 75% of the traffic adheres to the new email sender authentication criteria, then a portion of the remaining non-conforming 25% will face rejection. The exact proportion remains undisclosed. Google does assert that the implementation of the new regulations will be executed in a “step-by-step fashion.”

This cautious and methodical strategy seems to have already kicked off, with transient errors affecting a “fraction of their non-compliant email traffic” coming into play this month. Additionally, Google stipulates that bulk senders will be granted until June 1 to integrate “one-click unsubscribe” in all commercial or promotional correspondence.

Exclusively Personal Gmail Accounts Subject to Rejection These alterations exclusively affect bulk emails dispatched to personal Gmail accounts. Entities sending out mass emails, specifically those transmitting a minimum of 5,000 messages daily to Gmail accounts, will be mandated to authenticate outgoing emails and “refrain from dispatching unsolicited emails.” The 5,000 message threshold is tabulated based on emails transmitted from the same principal domain, irrespective of the employment of subdomains. Once the threshold is met, the domain is categorized as a permanent bulk sender.

These guidelines do not extend to communications directed at Google Workspace accounts, although all senders, including those utilizing Google Workspace, are required to adhere to the updated criteria.

Augmented Security and Enhanced Oversight for Gmail Users A Google spokesperson emphasized that these requisites are being rolled out to “fortify sender-side security and augment user control over inbox contents even further.” For the recipient, this translates to heightened trust in the authenticity of the email sender, thus mitigating the risk of falling prey to phishing attempts, a tactic frequently exploited by malevolent entities capitalizing on authentication vulnerabilities. “If anything,” the spokesperson concludes, “meeting these stipulations should facilitate senders in reaching their intended recipients more efficiently, with reduced risks of spoofing and hijacking by malicious actors.”

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Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

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Google AI Chatbot Gemini

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

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