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SERP Analysis Software For SEO and Ranking?

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A relatively new type of software analyzes the search engines results pages (SERPs) and provides recommendations based on statistical analysis of similarities shared between the top ranked sites. But some in the search community have doubts about the usefulness of this kind of software.

SERP Correlation Analysis and Lack of Causation

This kind of analysis is called Search Engine Results Page (SERP) Correlation Analysis. SERP analysis is research that analyzes Google search results to identify factors in ranked web pages.

The SEO community has found startling correlations in the past by studying search results.

One analysis discovered that top ranked sites tended to have Facebook pages with a lot of likes.

Of course, those top ranked sites were not top ranking because of the Facebook likes.

Just because the top ranked sites share certain features does not mean that those features caused them to rank better.

And that lack of actual cause between the factors in common and the actual reasons why those sites are top ranked can be seen as a problem.

Just because web pages ranked in the search results share a word count, a keyword density or share keywords in common does not mean that those word counts, keyword densities and keywords are causing those pages to rank.

SERPs Are No Longer Ten Blue Links

Another problem with analyzing the top ten of the search results is that the search results are no longer a list of ten ranked web pages, the ten blue links.

Bill Slawski (@bill_slawski) of GoFishDigital expressed little confidence in search results correlation analysis.

He said,

“The data in correlation studies may be cleaned so that One Boxes and Featured Snippets don’t appear within them, but it’s been a long time since we lived in a world of ten blue links.”

Misleading Analysis?

I asked an AI-based content optimization company (@MarketMuseCo) about SERP Analysis software.

They responded:

“Content optimization tools that scrape SERPs and use term frequency calculations to tell you what to write about are misleading at best.

Most of these tools will scrape content from the top 10-30 search results, extract common terms, and rate their relevance using Google AdWords Keyword Planner from Google’s public API.

Adding words to your content from these types of tools will never lead to comprehensive, expertly written content that, over time, becomes a competitive advantage for your business.”

SERP Analysis Software and LSI Keywords

Some of these SERP Analysis tools promote outdated concepts like LSI Keywords as being important for ranking in Google.

This is a concept that is well known to have little relevance for ranking in Google’s search results.

User Reviews of SERP Analysis Software

Nigel Mordaunt, Director at Australian Search Consultancy, Status Digital Group, told me that he tried SERP analysis tools and was not satisfied with the results.

He offered his opinion of these tools based on his hands-on experience:

“Using those tools do not promote reader satisfaction, which I think is the core of on-page SEO. It more promotes a copycat style of content which mimics 1,000 other sites within your niche.”

Jeff Ferguson (@CountXero), a marketer with over 20 years of experience, Partner/Head of Production, Amplitude Digital (@AmplitudeAgency) and Adjunct Professor, UCLA offered his opinion based on his own experience with these kinds of tools.

Jeff commented:

“I’ve played with a few of these before, and I can see the appeal; however, all too often, their reasoning for doing certain things is based on SEO myths, outdated info, or just flat out made up.

Most of them are great at doing a word count of the content for a given keyword, but word count isn’t a ranking factor. Others are pushing things like “LSI Keywords,” which don’t actually exist in the Google universe.”

More Data Does Not Give You Better Results

Some of these tools will analyze more than the top ten of the search results. They may analyze the top 30 and higher.

But more data does not translate into better analysis. The idea that more data will yield a better analysis is a common misconception.

According to Data Science Consultant Michael Grogan writing in TowardsDataScience.com:

“More data is not better if much of that data is irrelevant to what you are trying to predict. Even machine learning models can be misled if the training set is not representative of reality.

…Is inclusion of certain data relevant to the problem that we are trying to solve?  …it should not be assumed that blindly introducing more data into a model will improve its accuracy.”

Wikipedia has an entry about accuracy and precision, where accuracy is about how close an experiment or analysis is to the truth and precision is how reproducible the results can be, regardless if the results are accurate or not.

“For example, if an experiment contains a systematic error, then increasing the sample size generally increases precision but does not improve accuracy. The result would be a consistent yet inaccurate string of results from the flawed experiment.”

Accuracy is a problem with SERP Analysis in that the typical analysis does not account for all the variables that are responsible for why a web page ranks in the search results.

The reason they don’t account for all the variables is because nobody outside of Google knows what those variables are.

Analyzing Search Results Yields Flawed Results

Analyzing the search results has consistently yielded questionable results. One can analyze the results and tease out something like a possible search intent.

But to claim to identify factors that are responsible for why a site is ranking is questionable.

I mentioned to Bill Slawski that I was writing about SERP Analysis Software and he quipped:

“I laughed my head off after reading the —– website. Word count has never been a ranking signal at Google. Neither has keyword density.”

Everyone has their opinion about this kind of software. Some people may find value in it.

It’s up to you to research and determine if this kind of software is useful for you.

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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.

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.

images

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.

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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