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Google Changes More Structured Data Requirements via @sejournal, @martinibuster

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Google announced a change to several structured data types. This change affects the requirements for the HowTo, QAPage and the SpecialAnnouncement structured data. The guidance didn’t come with examples, which makes it a little difficult to understand but this article will walk through the changes.

The guidance provided by Google stated:

“Removed the following structured data fields from documentation, since they are unused by Google Search and Rich Result Test doesn’t flag warnings for them.”

In general, including structured data that isn’t required could be helpful if it helps describe a page better, even though that structured data won’t produce any visible results in Google’s search results pages in the form of rich results.

Google’s John Mueller has in the past commented on this:

“I think that’s one of the trickier questions with regards to all of the structured data, in that we have a lot of things that we use to try to understand a page and the content on the page that we don’t necessarily show directly in the search results.

But a lot of things help us to better understand the content and the context of a particular page.

And those are things within kind of like a general Schema.org markup which you can do various things.

And that’s kind of I’d say, almost a shame that we don’t highlight that in the rich results test.”

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Mueller then goes on to caution about going overboard with extra structured data.

With regard to the structured data properties that Google removed as being required, Google doesn’t warn against using them other than to say that the Rich Results test ignores it and that Google does not use it.

“…since they are unused by Google Search and Rich Result Test doesn’t flag warnings for them. “

HowTo Structured Data Changes

Google announced it has removed the “description” structured data field that pertains strictly to the HowTo data type. The “description” property can still be used in other properties of the HowTo data type, but it’s no longer needed in the HowTo part.

Here’s an example of how it used to be:

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<script type="application/ld+json">
{ "@context": "https://schema.org", "@type": "HowTo", "name": "How to tile a kitchen backsplash",
"description": "Any kitchen can be much more vibrant with a great tile backsplash. This guide will help you install one with beautiful results, like our example kitchen seen here.", "image": { "@type": "ImageObject", "url": "https://example.com/photos/1x1/photo.jpg", "height": "406", "width": "305"
},

Here is the new way that omits the “description” property of the HowTo type:

<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "HowTo",
"name": "How to tile a kitchen backsplash",
"image": {
"@type": "ImageObject",
"url": "https://example.com/photos/1x1/photo.jpg",
"height": "406",
"width": "305"
},

It’s a little tricky at first because the documentation doesn’t explain it in depth.

The documentation simply states:

Removed the following structured data fields from documentation, since they are unused by Google Search and Rich Result Test doesn’t flag warnings for them:
HowTo: description.”

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See what I meant when I said that the documentation was a bit sparse?

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Change to the QAPage Structured Data

The author property has been removed as a requirement when using the suggestedAnswer property, under the mainEntity property.

The suggestedAnsswer property is described as:

“One possible answer, but not accepted as a top answer (acceptedAnswer). There can be zero or more of these per Question.”

The purpose of the now removed author property was to name the author of the question.

The guidance from Google is written out like this:

mainEntity.suggestedAnswer.author

Kind of opaque, right?

Here is what the changed structured data used to look like:

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"suggestedAnswer": [
{ "@type": "Answer", "text": "Are you looking for ounces or fluid ounces? If you are looking for fluid ounces there are 15.34 fluid ounces in a pound of water.", "dateCreated": "2016-11-02T21:11Z", "upvoteCount": 42, "url": "https://example.com/question1#suggestedAnswer1",
"author": {
"@type": "Person",
"name": "AnotherUser"
}

This is what it looks like now:

"suggestedAnswer": [
{ "@type": "Answer", "text": "Are you looking for ounces or fluid ounces? If you are looking for fluid ounces there are 15.34 fluid ounces in a pound of water.", "upvoteCount": 42, "url": "https://example.com/question1#suggestedAnswer1"
},

See the difference?

Everything after the URL part that pertains to the “author” property is gone.

These additional properties that are a part of the mainEntity property have also been removed

  • mainEntity.dateCreated
  • mainEntity.suggestedAnswer.dateCreated
  • mainEntity.acceptedAnswer.author
  • mainEntity.acceptedAnswer.dateCreated
  • mainEntity.author

SpecialAnnouncement Structured Data

The SpecialAnnouncement structured data is a Covid-19 structured data that is in Beta, meaning that it’s not super official yet.  In fact, the SpecialAnnouncement structured data itself is still under development at Schema.org.

Google offered these examples of situations where the SpecialAnnouncement structured data is appropriate:

  • “Announcement of a shelter-in-place directive
  • Closure notice (for example, closing a school or public transportation)
  • Announcement of government benefits (for example, unemployment support, paid leave, or one-time payments)
  • Quarantine guidelines
  • Travel restrictions
  • Notification of a new drive-through testing center
  • Announcement of an event transitioning from offline to online, or cancellation
  • Announcement of revised hours and shopping restrictions
  • Disease spread statistics and maps”

The following properties have been removed for SpecialAnnouncement and are no longer required:

  • provider
  • audience
  • serviceType
  • address
  • category

Here’s an example of the “serviceType” and “provider” properties that are no longer required:

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Before:

"governmentBenefitsInfo": { "@type": "GovernmentService", "name": "Paycheck Protection Program", "url": "https://www.sba.gov/funding-programs/loans/coronavirus-relief-options/paycheck-protection-program-ppp",
"provider": {
"@type": "GovernmentOrganization",
"name": "US Small Business Administration"
},
"serviceType": "https://schema.org/BusinessSupport",
"audience": {
"@type": "Audience",
"name": "Small businesses"
}

After:

“governmentBenefitsInfo”: {
“@type”: “GovernmentService”,
“name”: “Paycheck Protection Program”
}

It’s a big difference without the structured data properties that are missing but it’s also simpler.

If in doubt or confused, I suggest reviewing the before and after versions of the structured data. You can find the before version at Archive.org

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Citations

Google’s QA Page Structured Data Developer Page
https://developers.google.com/search/docs/advanced/structured-data/qapage

Google’s HowTo Structured Data Type Page
https://developers.google.com/search/docs/advanced/structured-data/how-to

Google’s SpecialAnnouncements Structured Data Help Page
https://developers.google.com/search/docs/advanced/structured-data/special-announcements

Google’s Changelog for Updates to their Documentation
https://developers.google.com/speed/docs/insights/release_notes

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

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We asked ChatGPT what will be Google (GOOG) stock price for 2030

Investors who have invested in Alphabet Inc. (NASDAQ: GOOG) stock have reaped significant benefits from the company’s robust financial performance over the last five years. Google’s dominance in the online advertising market has been a key driver of the company’s consistent revenue growth and impressive profit margins.

In addition, Google has expanded its operations into related fields such as cloud computing and artificial intelligence. These areas show great promise as future growth drivers, making them increasingly attractive to investors. Notably, Alphabet’s stock price has been rising due to investor interest in the company’s recent initiatives in the fast-developing field of artificial intelligence (AI), adding generative AI features to Gmail and Google Docs.

However, when it comes to predicting the future pricing of a corporation like Google, there are many factors to consider. With this in mind, Finbold turned to the artificial intelligence tool ChatGPT to suggest a likely pricing range for GOOG stock by 2030. Although the tool was unable to give a definitive price range, it did note the following:

“Over the long term, Google has a track record of strong financial performance and has shown an ability to adapt to changing market conditions. As such, it’s reasonable to expect that Google’s stock price may continue to appreciate over time.”

GOOG stock price prediction

While attempting to estimate the price range of future transactions, it is essential to consider a variety of measures in addition to the AI chat tool, which includes deep learning algorithms and stock market experts.

Finbold collected forecasts provided by CoinPriceForecast, a finance prediction tool that utilizes machine self-learning technology, to anticipate Google stock price by the end of 2030 to compare with ChatGPT’s projection.

According to the most recent long-term estimate, which Finbold obtained on March 20, the price of Google will rise beyond $200 in 2030 and touch $247 by the end of the year, which would indicate a 141% gain from today to the end of the year.

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2030 GOOG price prediction: Source: CoinPriceForecast

Google has been assigned a recommendation of ‘strong buy’ by the majority of analysts working on Wall Street for a more near-term time frame. Significantly, 36 analysts of the 48 have recommended a “strong buy,” while seven people have advocated a “buy.” The remaining five analysts had given a ‘hold’ rating.

1679313229 737 We asked ChatGPT what will be Google GOOG stock price
Wall Street GOOG 12-month price prediction: Source: TradingView

The average price projection for Alphabet stock over the last three months has been $125.32; this objective represents a 22.31% upside from its current price. It’s interesting to note that the maximum price forecast for the next year is $160, representing a gain of 56.16% from the stock’s current price of $102.46.

While the outlook for Google stock may be positive, it’s important to keep in mind that some potential challenges and risks could impact its performance, including competition from ChatGPT itself, which could affect Google’s price.


Disclaimer: The content on this site should not be considered investment advice. Investing is speculative. When investing, your capital is at risk.

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This Apple Watch app brings ChatGPT to your wrist — here’s why you want it

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Apple Watch Series 8

ChatGPT feels like it is everywhere at the moment; the AI-powered tool is rapidly starting to feel like internet connected home devices where you are left wondering if your flower pot really needed Bluetooth. However, after hearing about a new Apple Watch app that brings ChatGPT to your favorite wrist computer, I’m actually convinced this one is worth checking out.

The new app is called watchGPT and as I tipped off already, it gives you access to ChatGPT from your Apple Watch. Now the $10,000 question (or more accurately the $3.99 question, as that is the one-time cost of the app) is why having ChatGPT on your wrist is remotely necessary, so let’s dive into what exactly the app can do.

What can watchGPT do?

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Discord goes all in with AI: chatbots, automods, whiteboards and more

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Discord goes all in with AI: chatbots, automods, whiteboards and more

AI is the future, at least over on Discord.

The messaging application originally made for gamers has become Gen Z’s favorite online hangout destination of choice, and now it’s rolling out a number of features powered by artificial intelligence.

In an announcement(Opens in a new tab) on Thursday, Discord shared what’s coming to the platform soon: an AI chatbot, an automated AI moderator, a conversation summarizer, an avatar remixer, and a whiteboard. Some of these features begin rolling out today, March 9. Others will launch in the coming weeks and months.

While AI has jumped into the mainstream thanks to the popularity of OpenAI’s ChatGPT chatbot, Discord has had an active AI community for quite a while now. According to the company, third-party AI apps already on the platform already have more than 30 million monthly users. Nearly 3 million servers on Discord have some AI element integrated into the community.

In fact, the biggest community on Discord is Midjourney, a text-to-image AI project which allows users to generate art from right within the server. Discord says Midjourney’s server has more than 13 million members.

So, with AI being such an integral part of Discord already, it seemed like only a matter of time before Discord itself started bringing AI directly into the platform.

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AutoMod AI
Credit: Discord

The first feature coming to some Discord servers as soon as today is AutoMod AI. Discord already has an AutoMod feature, which basically automatically moderates rooms for admins based on the rules of the server. Discord has now integrated OpenAI-powered AI into AutoMod, allowing it to search the server and contact moderators when it thinks rules are possibly being broken. According to Discord, AutoMod AI can also consider the context of a conversation so, for example, users don’t get penalized for posts that are misconstrued.

Clyde is a bot that Discord users may already be familiar with, and starting next week, Clyde is getting an AI upgrade. Currently, the Clyde bot provides information, such as server error messages, and also responds to timeout or ban requests from users and mods. However, that’s pretty much all Clyde was able to do. Until now.

Clyde chatbot

Clyde
Credit: Discord

Clyde will now be able to answer all sorts of questions from users, much like OpenAI’s ChatGPT chatbot. Users simply have to type “@Clyde” followed by their prompt. Clyde will be able to pull up information and also help find specific emojis or GIFs based on a user’s description.

Another AI feature coming to Discord next week is Conversation Summaries. Again, the name is fairly descriptive of what it does. With users all over the world, many Discord channels are always moving regardless of time of day. Conversation Summaries will allow users to catch up on what they missed on a Discover Server. The AI-powered feature will “bundle” chats into topics so users can easily read up on what they find most interesting.

Conversation Summaries

Conversation Summaries
Credit: Discord

Starting today, developers can start playing with Avatar Remix, an open-source Discord app that integrates AI art into the messaging app. Avatar Remix allows users to take a fellow user’s avatar and change it up “using the power of generative image models.” What does that mean? In the demo that Discord showed Mashable, a user was able to add a party hat or a mustache to a friend’s avatar by simply mentioning their username and describing what changes they’d like to make.

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Avatar Remix

Avatar Remix
Credit: Discord

The company is also launching an “AI incubator,” offering support for developers creating AI-powered apps on Discord.

Finally, Discord revealed a feature that’s coming soon that has long been requested by the Discord community: a whiteboard. But, of course, this won’t be just any collaborative whiteboard feature. It’s going to be AI-powered, allowing users to collaborate in generating AI art and more.

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