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Google on Using CSS to Hide Internal Links

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Google’s John Mueller answered a question in a Google SEO Office Hours hangout about hidden internal links in the footer. He explained why it’s not a big deal in terms of getting penalized but that it’s more an issue of site improvement.

That’s a little surprising because hidden links have traditionally been seen as a big issue.

Hiding Links is Not Cloaking

The person asking the question appears to have misunderstood what the word cloaking meant as he used that word to describe internal links that were hidden by the use of CSS.

Typically this can be done with the CSS display property that can make an HTML element completely disappear from a web page and not affect the layout.

The display:none CSS declaration can be used to hide links anywhere on a web page.

Screenshot of Google’s John Mueller Discussing Hidden Links

Google's John Mueller discussing hidden links

The person asking the question was concerned about a new client who he said was cloaking links on the website.

The SEO related that he was surprised that the site was able to hide links in the footer for at least nine months without Google issuing a penalty for them.

His concern was that the client won’t be motivated to do anything about the hidden links since it’s been that way for so long and the site was not penalized.

He wanted clarification about the lack of penalization and whether this is something to fix right away.

Cloaking is Not the Same as Hiding an Internal Link

John Mueller asked the SEO what kind of cloaking was involved and the SEO shared that the client was hiding internal links in the footer with CSS.

Mueller correctly responded that hiding links is not cloaking.

Cloaking means showing one kind of content to Google (for ranking purposes) and a different version of the content for users.

The word cloaking denotes when the real content is hidden from Google, usually by the use of a script that detects when Googlebot visits and switches the content to something else. That’s cloaking.

So Mueller first clarified that what the SEO was dealing with was hidden internal links and not cloaking.

Google Theoretically Dislikes Hidden Links But…

Regarding the footer links hidden with CSS, Mueller expressed that it’s not necessarily something the Google web spam team would be concerned about.

Mueller said:

“I think that’s something that theoretically we don’t like that.

But I don’t see the web spam team taking action on that. Because especially when it comes to internal linking like that, it’s something that has quite a subtle effect within the website and you’re just essentially just shuffling things around within your own website.

I think it would be trickier if they were …buying links somewhere else and then hiding them.

That would be problematic, that might be something that our algorithms pick up on or that even the web spam team at some point might manually look at.”

Spam Team Won’t Take Action for Hidden Internal Links

Mueller explained why the Google web spam team probably wouldn’t take action against hidden internal links.

John Mueller:

“But if it’s within the same website, if it’s set to display none then …”

Mueller paused a moment to think then continued:

“I don’t think it’s a great practice. If you think it’s an important link then kind of like make it visible to people.

But it’s not going to be something where the web spam team is going to take action and remove the site or do anything crazy.”

Hidden Links Are an Opportunity to Improve the Site

In response to a follow up question John Mueller expanded on his answer to explain how he sees this as an opportunity to make the site better.

The person asking the question followed up to ask if Mueller was advising him to leave it as it is.

Mueller responded:

“Well I wouldn’t leave it as it is. I would see it as something to try to improve for the long run in the sense of like if you think this is an important link to an important page then it’s like… just be straightforward about it.

Because users are going to use it too or maybe if users don’t care about it maybe it isn’t actually an important link.

But I wouldn’t see it as something where I like drop everything, we need to fix this, this week kind of thing.”

Insights

The Value of Re-framing Question Around Site Visitors

John Mueller employed a nice trick for solving an SEO problem by reflecting on how it affects site visitors.

For example, if the links aren’t useful for site visitors on the web page then they’re probably not good for SEO purposes either.

Presumably the site owner is concerned that the links might affect web page conversions and that’s why the links are hidden so that users focus on completing a purchase.

From an SEO perspective that page is about selling a product so internal links to some other products might not be altogether relevant anyway for SEO purposes.

But if they are relevant to users then they may be relevant for SEO purposes.

Identifying whether something is good for SEO can often be solved by asking how it affects site visitors.

Google Not Overly Concerned About Hidden Internal Links?

The other interesting insight is that the web spam team is not overly concerned about internal hidden links

It appears to be more a matter of poor insight into what’s good for SEO than getting away with something at the expense of Google’s algorithm.

Citation

Hiding Internal Links with CSS

Watch John Mueller answer the question at the 17:09 minute mark:

Searchenginejournal.com

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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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Google Brings Bard Students Math and Coding Education in the Summer

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Google Brings Bard Students Math and Coding Education in the Summer

Google is stepping up its AI efforts this summer by sending Bard, its high-profile chatbot, to summer school. The aim? To boost the bot’s math and coding smarts. These developments are excellent news— when Bard first debuted, it was admittedly not a finished product. But Google is steadily plugging away at it, and have now implemented implicit code execution for logical prompts, and handy Google Sheets’ integration to take it to the next level.

Thanks to implicit code execution, Bard can respond to inquiries requiring calculation or computation with Python code snippets running in the background. What’s even more amazing is that coders can take this generated code and modify it for their projects. Though Google is still apprehensive about guaranteeing the accuracy of Bard’s answers, this feature is said to improve the accuracy of math and word problems by an impressive 30%.

In addition to this, Bard can now export directly to Sheets when asked about tables. So, you don’t need to worry about copying and pasting, which comes with the risk of losing formatting or data.

From the company’s I/O keynote address, it is clear that they are focused on making the most of what Bard can offer. As they continue to speak highly of the chatbot, we’re sure to expect more features and capabilities when the summer comes around.

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Google Bard vs. ChatGPT: which is the better AI chatbot?

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Google Bard vs. ChatGPT: which is the better AI chatbot?

Google Bard and ChatGPT are two of the most prominent artificial intelligence (AI) chatbots available in 2023. But which is better? Both offer natural language responses to natural language inputs, using machine learning and millions of data points to craft useful, informative responses. Most of the time. These AI tools aren’t perfect yet, but they point to an exciting future of AI assistant search and learning tools that will make information all the more readily available.

As similar as these chatbots are, they also have some distinct differences. Here’s how ChatGPT and Google Bard measure up against one another.

Which is better, Google Bard or ChatGPT?

This is a tricky question to answer, as at the time of writing, you can only use Google Bard if you’re part of a select group of early beta testers. As for its competition, you can use ChatGPT right now, completely for free. You may have to contend with a waitlist, but if you want to skip that, there’s a paid-for Plus version offering those interested in a more complete tool the option of paying for the privilege.

Still, when Google Bard becomes more widely available, it should offer credible competition for ChatGPT. Both use natural language models — Google Bard uses Google’s internal LaMDA (Language Model for Dialogue Applications), whereas ChatGPT uses an older GPT-3 language model. Google Bard bases its responses to questions on more recent data, with ChatGPT mainly trained on data that was available prior to 2021. This is similar to how Microsoft’s Bing Chat works.

We’ll have to reserve judgment on which is the more capable AI chatbot until we get time to play with Google Bard ourselves, but it looks set to be a close contest when it is more readily available.

Are Google Bard and ChatGPT available yet?

As mentioned, ChatGPT is available in free and paid-for tiers. You might have to sit in a queue for the free version for a while, but anyone can play around with its capabilities.

Google Bard is currently only available to limited beta testers and is not available to the wider public.

Banner of Google Bard intro from February 6.

What’s the difference between Google Bard and ChatGPT?

ChatGPT and Google Bard are very similar natural language AI chatbots, but they have some differences, and are designed to be used in slightly different ways — at least for now. ChatGPT has been used for answering direct questions with direct answers, mostly correctly, but it’s caused a lot of consternation among white collar workers, like writers, SEO advisors, and copy editors, since it has also demonstrated an impressive ability to write creatively — even if it has faced a few problems with accuracy and plagiarism.

Still, Microsoft has integrated ChatGPT into its Bing search engine to give users the ability to ask direct questions of the search engine, rather than searching for terms of keywords to find the best results. It has also built it into its Teams communications tool, and it’s coming to the Edge browser in a limited form. The Opera browser has also pledged to integrate ChatGPT in the future.

ChatGPT Google Bard
Accessible through ChatGPT site. Only text responses are returned via queries. Integrated with Google Search. You only need to change a Google setting to get your regular search results when using Google Bard AI, and vice versa.
ChatGPT produces answers from its trained database from 2021 and before. Google Apprentice Bard AI will be able to answer real-time questions.
Based on GPT (Generative Pre-trained Transformer). Based on LaMDA (Language Model for Dialogue Applications).
Service has a free and paid plan option (called ChatGPT Plus). Service is free.
Has built-in plagiarism tool called GPT-2 Output Detector. No built-in plagiarism detection tool.
Available now Still in beta test phase

Google Bard was mainly designed around augmenting Google’s own search tool, however it is also destined to become an automated support tool for businesses without the funds to pay for human support teams. It will be offered to customers through a trained AI responder. It is likely to be integrated into the Chrome browser and its Chromium derivatives before long. Google is also expected to open up Google Bard to third-party developers in the future.

Under the hood, Google Bard uses Google’s LaMDA language model, while ChatGPT uses its own GPT3 model. ChatGPT is based on slightly older data, restricted in its current GPT3 model to data collected prior to 2022, while Google Bard is built on data provided on recent years too. However, that doesn’t necessarily make it more accurate, as Google Bard has faced problems with incorrect answers to questions, even in its initial unveiling.

ChatGPT also has a built-in plagiarism checker, while Google Bard does not, but Google Bard doesn’t have the creative applications of ChatGPT just yet.

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