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Does Comprehensive Content Build Trust? via @sejournal, @martinibuster

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Google’s John Mueller, in an Office-hours hangout, answered a question about the best content for building trust. Mueller encouraged the person asking the question to stop worrying about building trust with Google and offered advice on how to create the best kind of content.

Google and Trust

There is an idea that if Google doesn’t rank a site then it might be because Google doesn’t trust it.

That’s not an unreasonable thing to worry about.

But Google doesn’t really structure its algorithms around trust metrics. Some link related algorithms structure their judgments over whether a site is normal or not-normal, with a not-normal site being one that is trying to manipulate the search rankings, like with paid links or guest posts, that kind of thing.

From outside of Google one can look at the poor performance and reach the conclusion that the site’s not ranking because Google doesn’t trust it.

But it’s not about trust. In the case of links or certain kinds of content it is because the site is a not-normal site.

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It looks like Google doesn’t trust it, but it’s something else entirely.

And it’s good that these somewhat advanced SEO concepts are understood because then it saves time worrying about doing things to “earn trust” that have absolutely nothing to do with the reason why a web page isn’t ranking.

Down the Trust Rank Rabbit Hole

Yes, there’s a patent from around 2006 that mentions a Trust Rank.

That patent is about personalization and user intent. To understand what a patent is about, read the first part of the patent, over and over first.

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Most people who make mistakes about patents skim the first part and go straight to the middle section. But without the context of the first part of the patent, the middle section leads them to form mistaken ideas about what the patent is about.

The above Trust Rank patent is primarily about identifying user intent through signals like whether the user has visited a site before.

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The meaning of the patent is contained in the second paragraph:

“An inherent problem in the design of search engines is that the relevance of search results to a particular user depends on factors that are highly dependent on the user’s intent in conducting the search–that is why they are conducting the search–as well as the user’s circumstances, the facts pertaining to the user’s information need.

Thus, given the same query by two different users, a given set of search results can be relevant to one user and irrelevant to another, entirely because of the different intent and information needs.

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Most attempts at solving the problem of inferring a user’s intent typically depend on relatively weak indicators, such as static user preferences, or predefined methods of query reformulation that are nothing more than educated guesses about what the user is interested in based on the query terms.

Approaches such as these cannot fully capture user intent because such intent is itself highly variable and dependent on numerous situational facts that cannot be extrapolated from typical query terms.”

The above patent isn’t about Trust.

That patent is concerned with User Intent.

Googlers have long said over and over that Google doesn’t use a trust signal. Google engineer Matt Cutts even posted a video to dispel the myth of a trust factor in 2011.

Video of Google Engineer Matt Cutts Explaining “Trust”

[embedded content]

But for whatever reason, the idea that Google has a trust thing going on persists even though Google keeps telling people it doesn’t use a trust metric.

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Comprehensive Content and Earning Google’s Trust

The person asking the question wants to know if writing comprehensive articles builds trust with Google.

Here is the question:

“Does writing comprehensive articles covering a specific subject build trust with Google?”

There is No Trust Metric at Google

Being comprehensive can be good in certain cases and not so good in other cases, as John Mueller will explain.

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But first, Mueller pops the bubble again on the idea that Google uses a trust metric.

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John Mueller Discussing Content and Trust

John Mueller discussing content and trustMueller explains:

John Mueller discussing content and trust

“I don’t think we have any measure or metric or anything like that where we’d say, You have built trust with Google and you’ve built that based on writing comprehensive articles.”

John Mueller Explains Where to Focus Content

Mueller sets aside the topic of trust and then advises the person on how they should approach the content in order to rank better.

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Mueller explained:

“I would see this kind of… I don’t know… work as being focused a little bit more on the user side.

Does this build trust with your users, do users appreciate this kind of content, and that kind of thing.

And that probably users appreciate that kind of content if you’re actually writing something comprehensive and useful for them.

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The important part I think here is really to figure out which users you want to target and to make sure that your content actually speaks in their language.

So, for example, if you have technical content and you write a really detailed technical article about that.

If your users are looking for something that is more general or more simplified that explains the basic topics a little bit better then maybe tha highly specialized technical article is not the best thing for them.

Whereas if your users are really kind of these specialized technical people and they want to find all of this highly technical content then maybe that is the right match.

So that’s something where you almost need to think about which users do I want to target and what kind of content are they looking for?

How can I write it in a way that matches what they search for and what they would like to find?

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And then based on that you can kind of build out your website.”

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Figure Out Users First

Articles about keyword research make me cringe because they almost always advise focusing on keyword volume without discussing what motivates that volume and whether a less-volume keyword might be better because it converts while the high traffic one doesn’t convert.

John Mueller smartly advises the person asking the question to figure out the user first.

Mueller finishes his answer:

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“So, don’t just blindly go in and say oh, I would like to have my website rank for rental cars therefore I will write long comprehensive content on rental cars.

Because probably that’s not what users are looking for.

You almost need to figure out your users first and then work on your content.”

That’s great advice, right there.

Some people look at their top ranked competitors and see that the content is very basic. They see that as an opportunity to write advanced content that’s on a higher level and beat the competition that is top ranked with 101 entry level content.

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But a lot of times, that entry level, baby-level content is what users want and that’s why Google is ranking it there.

Citation

Does Comprehensive Content Build Trust?

Watch Mueller talk about title tags at the 26:16 Minute Mark [embedded content]

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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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