Unlike other AI copywriting tools that I have been testing over the last year, Texta.ai is an all in one done for you AI writing solution.
In other words, it’s not like an AI writing assistant, although it can do that, Texta.ai is actually an article generator that creates SEO-friendly blog posts in seconds using AI technology
Also unlike other copywriting tools out there, Text.ai doesn’t just write a copy for you, it actually learns from your style, and especially from the type of content you write.
It incorporates machine learning, meaning it’s going to get better and better as you use the tool.
So in this Texta.ai review, I’m going to show you the USP of this product which is the long-form generator. If you want to how to use this tool, you can start Texta 7 day free trial and work along with me.
Texta.ai Tools & Features
Once you’re inside the dashboard area, the first thing you’ll see is the main product of Texta.ai – Article Generation.
You also have tutorials and at the moment, there’s only one tutorial, but trust me, once you see content creation with Texta.ai is super simple that you’re not really going to need them.
On the left-hand side, you’ll see a menu with all of the different Texta.ai copywriting tools which are organized into different categories including:
- Writing tools (blogging)
- Social ads
- Startup tools
- Website copy
- Sales copy
And what’s quite cool is that they include really important marketing templates like the PAS – problem agitate solution, as well as my favorite, which is the AIDA copywriting which stands for attention, interest, desire, and action.
And each of these templates plays a psychological role in whether or not people are going to buy your products.
Texta.ai Article Generation
So starting off with the main tool of Texta, which is article generation.
So the way this works is you would type in a title. So let’s say we wanted TxA to write a blog post all about AI digital marketing, and then you want to create the article brief.
So it says “Provide the AI with a brief of what you’re writing about, describe it like you’re speaking to a friend 20 to 30 words”
Then you include the keywords.
And next, you want to click on “Create Outline” so these are going to be the headings of the article.
That seems like a pretty solid outline. And it’s also incorporating the keywords that I wanted.
Now I can go ahead and click on “Create Text”
So we’ve got a full-blown blog article in 10 seconds which is insane.
Here is the entire article generated by AI with no formatting whatsoever so you can read this through and see the quality of the copy.
📋 Texta.ai Article Example
Artificial intelligence (AI) has been a buzzword in the tech industry for years. Since Facebook’s introduction of “Deep Learning” in 2012, the technology has made several leaps forward from traditional AI techniques that have been used in practically every application. Now, AI is a mature and effective tool for digital marketing and it’s not just delivering better results. It’s also democratizing the process of marketing digitally. Today, AI (Artificial Intelligence) is a mix of machine learning and cognitive computing that has the ability to be trained on data from many different sources and then apply those models to new challenges. This allows marketers to create real-time digital marketing systems that can adapt to market trends or follow up on specific customer needs all while receiving better performance than any other digital marketing channel.
2. What is AI?
Artificial intelligence (AI) is a type of artificial intelligence that is powered by software. It has many applications in fields such as machine learning, robotics, and software engineering. The term artificial intelligence was first coined by Herbert A. Simon, who coined the term artificial intelligence in 1956. It is a system that mimics some of the human cognitive abilities, such as imagination and reasoning, but with machines lacking the physical constraints and limitations of the human brain. A common misconception about AI is that it can replace humans in all work processes, which it cannot do; additionally, AI tools are limited to certain tasks due to their design and their application methodologies. This limitation can be managed by simply adding more powerful computer hardware and software to increase performance and/or capabilities of an AI system by adjusting its design or algorithms based on new data or new challenges being presented within a specific task. For example, if a task requires more memory than available memory on an AI system’s hardware can cope with then additional memory may have to be added or additional hardware components may have to be added to handle this task (e.g., additional RAM). In general terms another real-world application for AI may involve designing software for specific tasks with which it may not be possible for humans to do (e.g., spam filtering).
3. AI’s Potential in Digital Marketing
Artificial Intelligence (AI) has been effectively used in digital marketing since 2013, but we still don’t know a lot about its potential in digital marketing. For example, how AI can be used to:* Improve the quality of content production* Boost the conversion rate of user-generated content* Reduce the time and cost of data collection* Improve search ranking. The main reason for this is that AI algorithms have not yet been sufficiently tested on the world stage. There are different approaches for testing AI in digital marketing, which are listed below. Exploratory testing: Experiments are conducted to track how users interact with an application to understand how they interact with it over time. The goal is to understand things like the way people make decisions or use features that consumers are not aware of and can’t observe. This method improves upon conventional methods by taking into account more factors than just some attributes of a specific product or service. A good example of exploratory testing is Google AdWords’ experimental “Ad Experience Feedback Tool”, which was designed as a way for advertisers to test various aspects as well as their interactions with crowd-sourced data from Google Analytics and their own internal research on user behavior. The tool allows advertisers to test different ad formats, ad formats with different audiences, and ad formats that include real-time data from Google Search Console – all without having to implement new campaigns or spend any money on advertising costs. Kaggle competition : Competition allows both participants (i.e., competitors) and observers (i.e., potential customers) to compare and contrast results produced by one set of algorithms against another set of algorithms. This method consists of comparing two collections of algorithms against each other based on one common property – they must belong to the same class so that they can be compared effectively — e.g., if you want to compare two sets of algorithms that account for different qualities (such as size), then you would use a classifier that accounts for size but doesn’t account for qualities such as weight or volume; you would use an algorithm instead that accounts for both size and weight/volume; etc… A good example of this type of competition would be in comparing an algorithm created by Facebook against an algorithm created by Microsoft Excel within the context of tracking user engagement across Facebook pages using data from Facebook Analytics services; although these competitions can be competitive, there are no hard rules about what algorithm(s) should win them in
4. Examples of AI in Digital Marketing
Artificial Intelligence (AI) is the technology that allows computers to perform tasks that are typically performed by humans. AI has the potential to help companies automate processes, reduce costs, and improve efficiencies. When it comes to AI sometimes people think of it as a new technology or something that’s unique, but in reality most of the applications we associate with AI can be grouped under two main categories: Artificial intelligence (AI) and Machine learning. Artificial intelligence is a term that has been used since at least the 1890s. The concept of artificial intelligence was first introduced by Alan Turing in his book “A Computable Question” in which he describes a system that mimics human intelligence. This initial use was intended to show how computers could be used for tasks similar to those performed by humans. In the mid-1990s, the term “machine learning” was coined by researchers at Stanford University Applied Artificial Intelligence Laboratory (SAIL) as an umbrella term for various types of algorithms that could learn from data over time and recognize patterns even when there are huge amounts of data available for them to process. The application of machine learning algorithms can be particularly useful for marketing since they can identify trends in customer behavior and help marketers deliver more relevant messages to their customers through data mining techniques often referred to as predictive analytics. Since their inception, machine learning algorithms have helped businesses understand customer behavior by analyzing large amounts of data on Internet usage trends, social media activity and search activity among other things. Machine learning algorithms have also proved useful in areas such as content marketing, customer relationship management, e-commerce, app development, product development and many other areas. Machine learning algorithms are used across industries ranging from finance, insurance, healthcare and healthcare services, retailing, telecommunications, education, government and many other areas.
5. Use Cases of AI in Digital Marketing
Artificial Intelligence (AI), sometimes referred to as machine learning, is a branch of computer science that focuses on the learning, training, and deployment of intelligent machines or software agents. The term artificial intelligence is sometimes used in an inclusive sense to refer to all forms of machine learning, regardless of whether they are powered by hardware or software. The term artificial intelligence was coined in 1956 by John McCarthy and Herbert A. Simon, the founding fathers and co-authors of Artificial Intelligence: A Modern Approach. Following this development, AI is considered one of the most important areas of computer science. Innovation in AI relies on three things: a deep understanding of the application domain; a broad-ranging body of knowledge; and a comprehensive set of algorithms that are based on these concepts.
The goal of this article is to provide a working definition of AI in digital marketing. The term “artificial intelligence” refers to intelligent systems that are developed by humans. The goal of artificial intelligence is to produce systems that are capable of performing tasks not previously considered possible, or to provide new capabilities beyond those currently possessed by humans.AI in digital marketing has been around for years, with technology like Siri and Google Now. The difference now is that AI has become a common language among companies, their employees and consumers alike. In fact, the use of AI for digital marketing has increased significantly over the past few years. For example, IBM’s Watson was first introduced in 2010 and it won Jeopardy! back in 2011 (first human). It’s also been used in other areas like healthcare and education . In fact, many companies have decided to make it part of their core business strategy as they believe it could help boost the productivity levels or assist them with the sale rates on products or services they offer. What makes AI so powerful? To start with, this technology has been used successfully by businesses all across the globe because its power lies in its ability to process huge amounts of data quickly and efficiently. Unlike other technologies that have traditionally focused on specific tasks such as speech recognition, machine translation, object recognition etc., Artificial Intelligence can be applied broadly across different industries (such as medical or engineering) just by utilizing much smaller data sets which are spread over a wide range of variables (such as weather patterns). Another important reason why AI is growing rapidly is due to its ability to learn from experience. The more you repeat something similar for an extended period of time, the more effective it becomes at reproducing what you do often times without your input. This will result in greater efficiency and better results for you which might just be enough incentive for anyone who is looking to use AI-powered technologies for their business operations. The next reason why online advertising serves as a powerful tool for any company designing an online marketing strategy is because it can be run on a set schedule using artificial intelligence systems which don’t have any human input at all. This makes them highly effective at predicting what will work or what won’t work based on the content available on websites visitors visit instead of relying on subjective factors like emotions or personal experience.”
So it just wrote a 1200 word article for me in less than 10 seconds.
I’ve never seen that on all the other AI writers, I have not seen something like this before maybe except Thundercontet which is a very similar AI content generator and you can read more about this tool in my Thundercontent review.
There is some stuff that wouldn’t be relevant and some sections, I probably wouldn’t use but overall is not bad.
But overall, it’s a nice article considering the fact that it took less than 10 seconds. And actually, it’s not far off and even included different stats.
I tested it in Copyscape and surprisingly this is a unique non-plagiarized content
So they are bringing something unique to the table.
Moving on to the AIDA copywriting tool see what sort of marketing framework it does.
And the idea of this marketing framework is to grab the attention of your audience, spark interest, trigger desire, and then get them to take action.
So let’s go ahead and do create some AIDA frameworks.
📋 Texta.ai AIDA Example
- [Attention]: I’m Looking For A New Affiliate Training Program?
[Interest]: If you’re looking to get your foot in the door, the time has come.
[Desire]: Join Top Affiliate Training today and get your free training!
[Action]: Click the link below and see you inside!
- [Attention]: You’re Ready to Win!
[Interest]: Get your training today and make money online.
[Desire]: Improve your online marketing skills, find new customers and earn more money!
[Action]: Click the link below and get started today!
As you can see really nice copies that I could include on a sales page or a landing page.
Texta.ai AppSumo Lifetime Deal
Texta.ai is available on the AppSumo marketplace for a limited time.
There is only one plan for $69 of a one-time payment and you’ll get 1000 credits that will allow you to generate up to 500 articles and blog posts.
In addition, you’ll have access to 30+ copywriting tools.
So that’s a really good deal.
Texta.ai has as of now 2 pricing plans:
- Free trial- $0/month
- Premium – $39/month (paying yearly)
With the Texta.ai free trial, you’ll get 20 credits so that’s enough to test the software out, generate some articles, and see how it works for you.
Is Texta.ai Worth It?
So that’s my Texta AI review and although I didn’t go through every single tool, I didn’t actually think it was necessary because I know most of the time, we’re going to be using the article generation tool.
It’s insane that you can generate an article that is unique, non-plagiarized, and readable as you could see before.
Of course, you would need to go in and edit it but you have a really good starting point, you could just spend 10 minutes editing less than you have ready-to-go content.
This is what separates this from any other AI software that I’ve seen so far maybe except Article Forge 3.0 which is also a great AI article generator software.
One of the ongoing things I’m seeing about Texta is that it’s super fast at the production of it, they must have some really good servers.
And considering the lifetime deal on AppSumo, it’s really cost-effective for what you’re getting.