There are a lot of interesting things coming out of Artificial Intelligence (AI) development that can help us with marketing for businesses. Reinforcement learning (RL) is just one of many. In this blog, we will look at how Artificial Intelligence (AI) uses reinforcement learning in the marketing space and how it is different from traditional machine learning paradigms.

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Why Reinforcement Learning Matters for AI Marketing

Reinforcement learning reacts to its inputs and makes decisions based on the consequences of its actions. The great thing about RL is that it can be a proactive way of marketing rather than responding to how the market is at that moment. It can change how our customers are influenced to make decisions in new and innovative ways. Below are some real applications of RL to get a better understanding. 

1. Optimizing Bid Strategies for Higher ROI

The most interesting side of RL is bid optimization for ad auctions. RL can learn from the outcomes of auctions and adjust bids as it goes to get the best return on investments. 

2. Content Selection for Targeted Advertising

A massive part of creating ads that convert is choosing the right content for the ad. RL algorithms analyze a lot of data to help predict which content will work best for your ad.

3. Maximizing Customer Lifetime Value

RLs can personalize ad recommendations. This obviously attracts new customers and encourages loyalty by showcasing ads to them. RL can understand individual preferences and craft irresistible offers. 

4. Predicting Responses to Pricing Changes

Pricing offers set the right way are important for every company. RLs can predict how customers will react when changes are made to the cost of services or items. This helps companies make better decisions and find the perfect prices for them. 

Real-World Success Stories

Understanding RL is a lot easier when you look at real-life use cases from brands everyone knows well. It can also showcase how well the AI works. You can look to companies like Google Ads, for instance, who use RL algorithms to analyze a lot of incoming user data so that they can keep tweaking bids to make sure campaign performance is optimized. The great thing about this is an increase in click-through rates compared to other methods, which improves conversions and, therefore, ROI.    

Product recommendations are another thing that RL is useful for. Static algorithms can get stale and miss some of the intricate information that things like RL can gather. Amazon for instance uses RL to make sure that products you see on their site are personalized to you in their ads. The AI looks at past purchases, browsing behavior and even external factors to send the user the product that is most likely to end in conversion. 

Types of Reinforcement Learning Algorithms

There are many types of RL algorithms that are put to use to do all sorts of different things. Below is a quick overview:

  • Monte Carlo, Q-Learning, SARSA: These are foundational algorithms used for simpler tasks. These algorithms train through rewards so the agent can learn the best action to take based on trials.
  • Deep Q Network (DQN): This is powerful when used in complicated environments like video games. It uses deep learning techniques to handle a lot of information so the agent can learn how to do more intricate tasks.
  • Asynchronous Actor-Critic Agent (A3C): This is an advanced algorithm where someone can trail lots of agents at once. They learn faster by swapping experiences between themselves. 
  • Deep Deterministic Policy Gradient (DDPG) and NAF: These algorithms are good for agents that need to keep going, like the movement of a self-driving car. They can help the agent learn things like smooth movement and good control techniques.

Challenges and Considerations of RL

RL isn’t all positive; for instance, using batch RL (past data) isn’t keeping the AI up to date, but when you use online data to learn from, that is always changing, so what the AI is learning at that moment will completely change soon enough. 

There’s also the issue of “reward training”. RL learns by getting positive feedback, but when to give that feedback can be tricky. Should it be after each task or every move? 

RL can also learn through trial and error, which can make it incredibly slow for more complex tasks. The AI might make a lot of mistakes before figuring out the right thing to do. An AI can also work great in a training environment but not so well in the real world. Overcoming these challenges is possible, but they must all be considered when using RL. 

Some Important Questions About RL

What distinguishes reinforcement learning from traditional machine learning?

Traditional machine learning grabs a lot of data, like images of butterflies, and analyzes them so it can recognize butterflies. Where as RL learns by trying things out and getting rewarded for correct outputs.  

How does RL optimize ad bidding strategies?

RL can do things like testing different ad prices to see which ones are getting the most clicks. It learns from its findings to give the best price for each ad so you get the optimal ROI. 

What role does content selection play in RL AI marketing?

The AI can test lots of headlines, images and other content in ads to see which gets the most engagement. Over time it can then tailor the content to what works best for your audience. 

How can RL enhance customer lifetime value and respond to pricing strategies?

This AI is pretty good at experimenting with different offers or discount types to see what your customers enjoy most and what gets them to spend more money with you. This way you can optimize your pricing for long-term promotions and give your customers the best value to make them feel good about your brand. 

RL Learning in Marketing Needs a Human Touch

Reinforcement Learning is really important for optimizing campaigns and keeping your customers engaged and happy with offers and ads. The idea is to meld both the company’s needs with what is best for the customer. When you personalize content with rewarded learning you have the best opportunity to actually connect with your audience. But it is never wise to rely on AI alone. To use AI the right way you really need someone who understands how the AI is working in your favor and how to monitor the results. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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Many companies are beginning to add generative AI content into their rotation, especially as part of their blogs, web pages, or social media. The appeal of being able to create content incredibly quickly is hard to ignore, but when generative content isn’t done the right way, a lot can go wrong. In this blog post, we will take a look at those top 5 mistakes that you should avoid with generative AI content and how to use this tool the right way. 

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Generative AI in Content Creation?

It isn’t that big of a mystery as to why so many companies are flocking to use generative AI content at scale. It takes the portion of your budget that would otherwise go to research, writers, and editing and gives it all to an AI that claims it can do it all for a fraction of that price. But unfortunately, this isn’t the case if you want to stay ahead of competitors with good content that does well to convert, engage, and perform against social and search engine algorithms. For that you will need to take a few more steps. 

Mistake 1: Over-reliance on Automation

When companies use AI, the worst thing they can do is over-rely on it and assume it is accurate. AI often makes mistakes–it can misunderstand the assignment or just simply make stuff up. You need a human working alongside the AI to help it do a good job. So you don’t rely too much on AI:

  • Hire someone to look over everything the AI creates  
  • Have someone add something new and interesting to the AI content 
  • Make sure your brand’s voice is clear

Mistake 2: Ignoring SEO and Engagement Metrics

AI generated content does not have access to the myriad of tools that an SEO expert does. These tools allow us to look at what keywords are trending, what people are searching for, and what the intent for keywords are. AI will often take a guess at these keywords and then plug them into the content. To make sure your SEO remains relevant:

  • Use AI alongside correct SEO research practices 
  • Make sure the AI isn’t keyword-stuffing and repeating itself to do so 

Mistake 3: Failing to Adapt Content for Different Platforms

Every platform that you create content for has its own needs, its own kind of audience with different demographics, likes, and a different algorithm to play with. You cannot simply take content from one platform and paste it into another. So you don’t fall victim to this issue:

  • Ensure your AI understands the platform its writing for, what tone it should use, the style and formatting, etc. 
  • Create strategies for each platform and use human oversight to check on the AI content and whether this strategy is being implemented

Mistake 4: Neglecting Brand Voice and Personality

When AI writes, it sounds “samey”. In fact, writers who work with different platforms, like ChatGPT or Claude2, can often tell which AI wrote the content just by reading it. AI often repeats words and phrases again and again. Because of this, you should implement some ways to make sure the content sounds like your brand and not AI’s: 

  • Have a human who understands AI writing–and knows what sounds like AI–go in and make tweaks so the content sounds like your brand
  • Make sure you are using the best prompts possible when creating the content to begin with so it doesn’t come out completely generic 
  • Delete where needed, as a lot of the time AI will just repeat itself in different ways 

Mistake 5: Not Regularly Updating AI Training Data

Some models are not updated that regularly, meaning it doesn’t have access to all the latest information. This can be devastating for many brands; for example, if you’re writing content for a dental office and the AI starts using outdated information to inform your patients of something now considered bad practice, this is a big problem. You can stay ahead in a couple of ways:

  • If you can, update the training data, but often, we don’t have access to do this 
  • So the next step is to make sure you do your own research and fact-check everything the AI has written 

Generative AI Needs Human Oversight 

Generative AI can make a lot of processes faster for many businesses, but it isn’t a plug-and-play solution yet. It’s one of those things where you really need someone who has experience using it and who actually understands content well to make sure what the AI is spitting out actually makes sense. AI should always be viewed as a tool to help your content strategy along and not something to replace people with, as in the long run, it can’t create, engage, or research in the way that a human can.  

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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As more content is created via AI, a question has emerged: Is AI copyrighted material? This is an important discussion to have, as AI has been trained on content written by humans without their permission. The outcome of this question will affect businesses who use AI all across the globe. 

In this blog, we will examine whether AI can actually commit copyright infringement, whether businesses should stop using it altogether until this is resolved, and the laws around copyright and how that applies to AI. 

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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The Rise of AI in Content Creation

First, it’s important to understand what AI content creation actually is. AI can create lots of different content, from blog posts to images or even music. An SEO marketing agency might use AI content creation to fill out pages and blog posts for a site with optimized keywords. It’s a quick and easy way to create content, but it raises a lot of questions about copyright. This is because AI is trained by gathering information from other websites, which is all original content created by others. The AI is essentially stealing that information to create its own version. The question of whether this is copyright infringement, though, is very nuanced. After all, isn’t this how humans learn? By seeking information from other sources?

The Legal Labyrinth of AI Authorship

Copyright laws were intended to protect creators from other human creators. The Copyright Act prevents “unauthorized copying of work of authorship.” Currently only humans are protected by this law. But it creates a strange grey area: If content is created by AI and then edited by a human, can it fall under copyright law? Is the AI the author or is the human using the AI the author? Answers to these questions will dramatically change the legal recourse that companies can take. 

Answering this conundrum of whether AI is an author who can copy work and, therefore, infringe on copyright will help us decide how we can use AI moving forward. Most jurisdictions currently state that AI is not an author and cannot legally own copyright because it’s human creativity that creates the criteria for eligibility for copyright. Therefore, the human who used the AI tool or programmed it is the author. But the many court cases currently happening will ultimately be the deciding factor. 

AI Copyright: Some Case Studies

Some businesses are fighting back against AI-generated content as they feel it was trained on their human content and took advantage of it. Here are some examples:

  • Getty Images vs. Stability AI (2023): Getty Images is accusing Stability AI of scraping its website images to gather all sorts of information to help Stability AI’s image generator, called Stable Diffusion, make artistic images. They allege this is infringing on Getty’s copyright by using these images without their permission. This raises the question: does training AI on copyrighted material fall under fair use? We’re yet to see the outcome. 
  • Thomson Reuters vs. ROSS Intelligence (2020): ROSS is an AI legal research tool. Thomson Reuters sued them for training their AI on its copyrighted legal material. The issue will boil down to fair use since the AI model is not made to simply copy but learn from the content. The answer to this should come sometime in May 2024. 
  • New York Times v. Artificial Creativity LLC (2023): The New York Times has sued an AI company called Artificial Creativity because it used its articles to train its own system to create similar articles. The Times is arguing that this is copyright infringement, but Artificial Creativity is claiming fair use. This case is similar to Thomson Reuters vs ROSS intelligence and will pave the way for how AI can be trained using information that already exists online. 
  • Artists vs. AI Image Generators (2023): A group of artists got together to sue Midjourney, Stable Diffusion, and DreamUp because they believe their artwork was used to train these AI models. The artists use their own style, which they have honed for years, to sell unique art, which begs the question, is it legal for AI to simply copy that and sell its own version?

Unfortunately, these are just a couple of examples, but the questions that these cases will really ask are:

  • Is it fair use to train an AI on copyrighted data?
  • Who owns the copyright on AI generated material?
  • How can we protect creators from AI while encouraging innovation?

Practical Tips for Businesses Using AI to Avoid Copyright Infringement 

Businesses that need content creation to stay afloat, perhaps for blogs, product descriptions, selling art, or creating books are in a difficult position. Using AI can make content creation much easier and help them find an audience who is looking for what they sell. But trying to make sure content doesn’t infringe on copyright is currently a stab in the dark. It’s important to use caution when using AI generated content and ensure there is a human behind it making tweaks, researching, staying on top of laws and regulations, and making sure the content is accurate and good quality. Here are some practical tips:

  • Transparency is Key: Make sure that your audience is aware of your use of AI to build trust. 
  • Understand Copyright Laws: Stay on top of copyright laws when it comes to the AI you are using and how you are using it. 
  • Human Oversight: Never use AI without a human who checks over the content it generates. This will help with quality control and copyright issues in case the AI copies work exactly. 
  • Intellectual Property Rights: Make sure your company actually owns the content that AI is generating. The AI tool may have in their terms and conditions that they own anything their AI creates. 
  • Ethical Guidelines: Be ethical. Create guidelines that protect everyone involved to avoid copyrighting, plagiarism, your brand’s values, and minorities.  

AI and Authorship

AI will probably be the future for all sorts of content generation. It’s quick, streamlined, and serves as a great assistant for specialists in content creation. The challenge is whether AI is ethical. Copyright is just one way that AI can infringe on ethics. In the future, we will probably come across other questions, such as copyright issues, that will play out in court. Until these cases are resolved we won’t really know whether AI is actually infringing on copyright or not. But the answer to these questions will completely change how AI is trained and how we create content for websites forever. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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When you understand neural networks, you give yourself the option to remain competitive with other businesses that are using them to market their products and services. In this blog, we have put together some important and interesting information on how neural networks are implemented in marketing, why people are using them for this purpose, and what that will look like for the future of ads and content marketing. 

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Neural Networks vs. Traditional ML Models

Most AI ran on traditional machine learning (ML) models, which are pretty good at helping marketers with certain types of data and, therefore, to find leads or customers. It could also create new content using linear predictive models. The downside to this, though, is that MLs are not very creative. The upside? They are the less expensive option. So, if as a marketer you’re looking for information–like how to detect spam or what price something will be in the future–this isn’t a bad model to use. 

However, neural networks are the harder-hitting model. Neural networks are like the human brain, which is likely how it got its namesake. It uses a neuron-type system with lots of layers to process the information it is given from lots of different angles. It will take all this data and keep learning, too. By continuously learning, it can pick out subtler patterns and some hidden gems in the data without being specifically programmed to do so. The great thing about neural networks is their ability to handle data that isn’t as structured and is a little more messy, like video, for instance. Take a look at the differences between neural networks and MLs below. 

Main Differences:

  • Structure: A traditional model has pre-made rules inputted, and it follows them step-by-step. A neural network learns as it goes. 
  • Data: MLs are great with structured data, and sometimes that is all you need. A neural network can handle that and more complex data. 
  • Complexity: MLs do well when given a specific task, and neural networks are great at complicated problem-solving and finding unique patterns.
  • Interpretability: It is easy to understand why MLs come to the conclusions they do when one looks at the data they are trying to analyze, but neural networks are much like a black box; understanding their decision-making process is much harder.
  • Prediction: Neural networks can see all elements of an ad including color and images, so it can make better predictions than ML alone. 

Practical Ways Neural Networks Can Be Implemented

One way that marketers understand the customers coming to their websites and buying their products or services is by using segmentation. They take certain groups of people who all have certain things in common in order to target them with ads that might appeal to them as a group. Neural networks can help with this process by making those groups even more niche; therefore, you’re not losing some of the customers on the edges who aren’t quite interested in what you have to offer. The AI does this by watching behavior on the website. 

You can connect with people so much better when you talk to them as an individual, so as you can imagine static ads and mass messaging will become an outdated tactic. There is more than just this though, neural networks can also:

  • Predict future behavior: You can use past data to guess what trends you might see next in your industry and make better sales. Or predict what people might be looking for in your services over the next few months. 
  • Optimize campaigns: When your content is live, it can be changed on the go, depending on how people are reacting to the ad or visuals. 

Neural Networks are Branching Out

Creating content is a big task for businesses online; it’s one of those time-consuming things that everyone has to do to stay relevant or gain leads. Neural networks can actually help with this in a couple of different ways, like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). Below, we explain what these two are and what that means. 

Variational Autoencoders vs. Generative Adversarial Networks

Variational autoencoders will condense data, so when you feed it the data you have on your customers, it can clean it up and put it into something called latent space. This space will take only the important details and get rid of the bits it doesn’t need. Once it’s managed that, it will explore that latent space to take some samples of the data, which allows it to create new data points. These new data points will feel familiar because they share the same features as the original points, but it will also be completely new ideas. That’s how you can get ad copy or product descriptions that feel like copy you’ve seen before but are new. 

GANs, on the other hand, are like two talking heads. One side of the AI will create an image, video, or whatever you need it to. The other side probes and tries to see if it can tell if the content is AI. They go back and forth like this and then spit out something that should feel incredibly human. Of course, AI isn’t human, so it isn’t perfect, but it’s a start.  

Real-Life Case Uses for Neural Networks

Netflix Personalization Engine

We discussed personalization with neural networks a bit above, and Netflix definitely takes advantage of it. You can tell by the spookily accurate predictions about which shows you will actually like. They have it down to such a science that they’ll even put the likelihood as a percentage. In the past, if you were a 20-year-old female, they might just recommend rom-coms because it would be more likely you would want to watch them than a 40-year-old male. But we all know that’s not really how life works. Everyone is different. With neural networks, they can grab the attention of a viewer with actual movies and shows they want to watch. This obviously maximizes their ROI. 

Spotify’s Discover Weekly Playlist

There is this cool feature on Spotify that’s called the Discover Weekly Playlist. This playlist will feed you songs once a week that it thinks you will really enjoy. It does this by looking at the past data of what you have listened to by analyzing things like the tempo of the music or the genre. This keeps you using the Spotify app as you find new music much easier and, therefore, want to listen for longer. 

AI Neural Networks Are the Future of Marketing

Marketers will start to use Neural Networks more and more in the AI they use for marketing. It has so many benefits that if you don’t jump on board, you might be left behind. However, you need an expert on your team because the ethical concerns of AI, as well as other nuances, can land you in hot water if you don’t know what you’re doing. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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AI-generated content is really tempting for SEOs and companies because it makes a process that takes a lot of work easy by spitting out a result in seconds that can even help you rank on Google. But there has been a massive debate amongst SEO experts about whether AI-created content is actually going to help bolster website SEO or if it will ultimately just be considered spam and cause Google to blacklist websites in the long run. And it seems as if Google is finally bringing down that hammer with its March update. 

In this blog, we’ll discuss why AI-generated content will penalize your website when not created correctly and why you need an expert with experience in content creation to handle your website copy. 

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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Why AI Content is Sometimes Bad

There are a lot of AI writing tools available now, mostly because of the appeal of ease. Writing is a skill–one that takes time to hone. SEO is a massive barrier for businesses whose expertise is in their products or services. And professional sales copywriting? That’s even more advanced. So when companies sell you a solution of written blogs in seconds that have SEO, keywords, and sales copy advertised as a perk, and more–of course, businesses want to jump on it. But unfortunately, AI just isn’t there yet. It can’t actually research keywords in the way an expert does or understand the psychology of copywriting. 

In the end, AI-generated content ends up thin and robotic sounding, repeating concepts over and over to hit keyword goals and leaving readers with little value. This is exactly why Google’s update wants to target this writing. 

Why Google Cares (and Why You Should Too)

Google’s core mission is to be a search engine that answers queries accurately. It doesn’t always get this right since experts are constantly looking for ways to optimize content to take advantage of their algorithm; for example, recipe blogs are filled to the brim with random information in order to keyword stuff instead of just giving the recipe the searcher is looking for. Between this and the ever-changing way that people search for information, Google has to keep updating how they handle queries. 

Google considers keyword stuffing and trying to take advantage of the algorithm SEO spam. The practice completely undermines Google, hurts users looking for information, and stops legitimate businesses from finding their audience. Google wants to help its users, and businesses should want to find their paying audience, so SEO spam hurts everyone involved who has good intentions. 

Decoding Google’s March 2024 Update

Google gave a statement on what their March update is going to involve, and it’s all about taking a hammer to spam. Since 2022, Google has had its eye on trying to boost helpful content. One clear way you can see this is in our current search results. In 2022, we would see a lot of the same blog posts re-written over and over again because that’s how you could get a blog to rank and find your audience. Now, there are unique blogs when you search for things, each with different tidbits of information. Google’s update is intended to be helpful; it’s intended for users to be able to find blog posts that actually answer their questions in different ways. But it doesn’t always get this right, hence the many updates. 

What Will Google Consider Spam?

Google did say some of the things that they are going to consider spam. Here are some important examples and what they mean:

Sites Created for Specific Search Queries – Seeing this statement from Google alone can send any business into panic because, of course, every blog or page on a website is created for a specific search query. In fact, if you’re doing SEO well, you want to see what is being searched and then create content based on that because that is what will actually help your audience. Thankfully, Google isn’t talking about this when making this statement. What Google means is if you create a boring page stuffed to the brim with keywords without actually giving any help to the user (i.e., answering a question or selling a product), it will be considered spam. This is nothing new, but now Google is saying it will now take targeted action to blacklist these websites or stop their traffic. 

Scaled Content Abuse – Google has had so much trouble in the past with companies that have created hundreds of pages and blogs a month, all with awful-quality text. Typos, boring speech, unhelpful keyword stuffing, etc. One way sites are doing this now is by using AI. By simply telling ChatGPT to write a blog post about a subject, posting it up, and moving on to the next topic has made the practice of scaled content abuse ten times worse. Google wants to target anyone doing this. But it made sure to clarify it’s not just targeting AI content. Google doesn’t care how the content was written; it cares about the abuse of scaled content. 

Site Reputation Abuse – Sometimes, incredible sites with high-quality posts will host content from other sites in order to link back to that site. The site that gained the link will get authority, and the site that hosted the content will be paid for doing so. This practice in and of itself is not the problem. What is the problem? A lot of the time, the sites hosting the content from another site will accept bad quality content because they want the pay cheque. Google is going to bring down the hammer on any site accepting bad-quality blog posts. Meaning sites that host guest blogs for backlinking will need to ensure that guest posts are of the same quality as their other content. 

Expired domain abuse – Sometimes, a company will buy an expired domain that has some authority already behind it. Essentially, the domain used to exist and did well in search rankings but now no longer exists. The company will buy it and use its reputation to bolster its own content. This practice, in and of itself, will not be penalized if the company creates fantastic content. But if companies use it to create spam content, just to help it rank, Google will stop traffic going to that site. 

Cloaking – SEO experts can show different content to Google and the user. One easy way of doing this is by making text on the page the same color as the background. This way, they can add a bunch of keywords that Google will see whilst hiding it from the user. Cloaking is trying to cheat the system and will be targeted in this update. 

What Makes Content “Unhelpful”? 

According to Google, unhelpful content includes:

  • Content made just to get clicks, with exciting titles and no substance.
  • Content that lacks any nuance, depth, originality, or analysis of any kind. 
  • Content that is just full of keywords, repeating itself over and over again to achieve this, and doesn’t care about the user. 

What Google’s March Update Means for You

Anyone with good intentions who is really passionate about their topic and knows how to write well to answer queries shouldn’t have to worry about Google’s new update, in theory. Besides that, AI content, in general, isn’t even the problem. It’s not about who wrote it but how well it’s written. Here are some goals to ensure you will not be affected:

  • Focus on User Intent: When doing keyword research, you have to understand why a user puts that LSI or keyword into the search engine. Then, you can create content that is actually relevant to that search. Just throwing that keyword into your content at random is spammy and bad practice.
  • Become an Authority: Build your reputation the right way. Become an authority in your field and always add something unique to your content that isn’t available elsewhere.
  • Prioritize Readability and Engagement: Make sure your writing is clear and easy to read. Make it conversational and engaging. You want people to actually read what you have to say.
  • Maintain Transparency and Credibility: Whether you use AI or not to create content, make sure what is on the page is actually correct. Use credible sources to find information and build trust with your audience.
  • Quality of Quantity: Invest your time in building out well written blog posts that will be shared by others. Rather than writing hundreds of them at a time with little unique information.

So, Does This Mean AI Content is Dead?

AI writing tools are ultimately not the problem. The problem is scaled content on mass that isn’t being vetted. This has always been a problem, even before AI. Before AI, companies would just pay writers, usually from countries outside of the US so it was cheaper, to create hundreds of blogs for pennies on the dollar. Whether this tactic or AI, the blogs aren’t helpful, are full of mistakes, and make users distrust Google. Google wants users to find exactly what they are looking for and enjoy using Google. As long as your content achieves this, you’re in the clear. But if you are using AI generated content, here are some ways to ensure it isn’t against Google’s policies:

  • Humanize Your Content: The content you make through AI might sound great to you, professional sounding and maybe even intelligent. But it doesn’t sound human to most users. The way AI talks isn’t full of nuance. You need to edit it, refine it, and make sure it sounds like your brand. 
  • Prioritize Value Over Volume: Stop creating tens of pages a month full of AI content because you think it will help people find you. It won’t. It will just make Google hide your site from users. Instead, create a steady stream of really good posts that actually help people. Sometimes, all you need is a couple of incredible posts to get great traffic that will help users find you. 
  • Maintain Editorial Control: Don’t just stick up AI content on your site without checking whether it is correct. AI hallucinations are a thing and the AI will make stuff up as it goes along. 

SEO is a Marathon, Not a Sprint

SEO can be a slow game compared to paid ads, which are instant gratification. SEO takes time to build and, when done right, will last too. Google’s new update is here to remind businesses that actually helping their users, even when it takes time, is what will get them loyal customers. When you focus on giving value, putting the user first, and vetting content no matter who writes it, you will get ahead. This new AI way of creating content is reminding everyone that robots can’t engage in human spaces in the way we can. It can’t reach people and teach people like we can. But it can serve as an assistant to our goals. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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When it comes to online content, artificial intelligence (AI) is making things a lot easier for businesses. Many companies and marketers who use AI can create content faster and find more accurate predictions for whether content will work for their audience. But there is a massive problem with AI generated content that many businesses are unaware of, and that is AI hallucinations. This is when AI spits out nonsensical, inaccurate, or downright dangerous content. Find out what AI hallucinations are, how to counter them, and why they are a problem below. 

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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Understanding AI Hallucinations

AI content creation, when done right, should be a collaborative effort between the machine and humans. The AI is trained on a wide range of data (what data that is will depend on the model), and the human is trained in their field of expertise and, of course, has the innate sense for creativity and nuance. It should be a good match, in theory. However, sometimes the AI tries to understand the inputs, data, and patterns, and it goes horribly wrong, leading to “hallucinations,” which is when the content it generates goes completely off script or is made up. This happens more than you would think. 

Causes of AI hallucinations:

  • Incomplete or biased training data: the AI is only as good as the data it is trained on; if it has biased or incorrect information, it will spit out the same.  
  • Over-reliance on data patterns: when the AI focuses heavily on statistics and patterns, it may miss the nuance needed to understand the data fully. 
  • Lack of human oversight: if AI is allowed to run and do whatever it wants without interruption, it will steer further from helpful content, and hallucinations will slip through the cracks. If this is an AI that learns from each interaction, and those interactions are full of hallucinations, the problem will get worse. 

The Price of AI Hallucinations for Your Business

Even if a business unintentionally creates inaccurate content, it can still have severe consequences. Spreading misinformation damages your brand and the integrity you have worked hard to build. Once a customer sees this, their trust will be lost; trust you need to make a conversion. 

For example, imagine sharing biased financial advice or publishing factually incorrect health information—the repercussions could range from customer anger to legal issues. 

This can then bleed into your website trust factor, too, which can then affect your ads. The domino effect of this one small issue is vast. Always verify content created by AI and never trust it to do the job of a content creation specialist, especially one well-versed in SEO. 

Real-World Examples of AI Hallucinations

Below are some examples of AI hallucinations and what happened:

  • Law Gone Wrong: A lawyer used ChatGPT to prepare for court proceedings and cited fake cases suggested by the AI. He was fined $10,000 as a result. 
  • Health Hoaxes: A healthcare chatbot tasked to help cancer patients gave the wrong advice 12% of the time, according to Jama Oncology. 
  • Unintended Insults: An AI language model by Microsoft–used to create Tweets for X–generated racist and offensive tweets by learning from other users. 
  • Copyright Issues: The New York Times made accusations against AI and Microsoft for a copyright lawsuit. Because OpenAI had access to Times’ content and learned from it, New York Times would be able to have a case if they could prove that the generated content was somewhat similar to their style.
  • Algorithmic Bias: AI can be trained in data to approve resumes or loan approvals. If, however, the data the AI is trained from happens to be biased towards a certain group of people, the AI, too, will be biased, unfortunately. This happened for Amazon in the tech sector, where men were chosen over women due to inputted bias.

Mitigating AI Hallucinations

There are steps you can take that will help to stop AI hallucinations from popping up in your content as much. You can’t eliminate it altogether, but here are some steps you can take:

  • Ample training data: your AI tool needs to be equipped with data that is high quality and factual.
  • The right roles for AI: you have to define explicitly what job you want to delegate to AI. You also have to define what the person in charge of the content would need to do to make it as accurate as possible, i.e., research statistics and facts.
  • Quality and accuracy metrics: a clear guideline needs to be set within the company on measuring the quality and accuracy of the AI content.
  • Human eyes: no content should be published that has not been looked over. 
  • Learn Prompts: use super prompts, prompts from experts, or create clear, detailed, and precise prompts for directing your AI.

Tips for crafting effective prompts:

  • You must describe the desired format for your content, including the length and layout. 
  • Tell the AI which tone it should write in, if unsure feed it content with the intended tone and ask for the AI to describe it and write like it. 
  • Provide the AI correct stats and details to use. 
  • Include references and examples if possible.
  • Set clear limitations. Remember to tell the AI what not to do. 

Striking the Balance Between Innovation and Responsibility

AI content creation is very promising for businesses and marketers despite it being in its early stages. Knowing the risk of AI hallucinations and making sure you do all you can to avoid it puts you in the best place to create accurate content that brings about trust and authority in your brand. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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As a business, staying on top of the latest technologies that your potential leads will expect on your website is important. Among those strategies are AI chatbots, which are virtual assistants that use AI to interact with customers. There are many options available, and finding the right one for you can take time. In this guide, we will take a look at chatbots, how they might help you, and where to research.

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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What is an AI ChatBot?

A chatbot is essentially a customer service agent that is available to customers and potential leads every moment of the day in a way that human representatives can’t be. They can answer common questions, guide your users through the website, and gather data and information via conversations with your leads about their needs. These chatbots use natural language processing in order to understand the user and respond with the correct information. All of this can help convert users by making them more informed and helping them navigate the sales process. 

What Industries Benefit from ChatBots?

Almost every industry will benefit from a chatbot. To answer this question for your business personally, you have to imagine what information your customer might want to know before reaching out or making a purchase. Some businesses may be concerned that the information the user will need is too complex for a bot to handle, but with the way technology is moving, you may be surprised. However, even if this is the case, you can use the bot to point the customer in the right direction to find the information or contact your customer service. 

Some examples of ways that chatbots can help are:

  • Retail: If your customer is at risk of abandoning their cart, the chatbot can provide instant support and some product recommendations. 
  • Customer Service: Sometimes, the questions clients and customers have are easy to answer, and calling customer service takes up the line and increases wait times. Chatbots can answer these simple requests so an agent can help those with more complex needs. 
  • Banking: Reducing wait times by allowing customers to reach their financial services without having to call the bank is a great way for banks to use chatbots. 
  • Education: If you sell courses or educate your users in some way, bots can answer questions and give learning support so the student feels as if their academic journey is tailored to them. 

How Does an AI ChatBot Help Make Conversions?

Each industry has its own tricks and tips, but there are some general uses we can cover to help you understand how chatbots make conversions.

24/7 Availability

Chatbots never have to sign out for the day and will work even when you’re sleeping to answer questions and gather leads or convert customers. 

Improved User Experience

Having access to quick answers and a way to solve problems immediately will help your users feel like the process of learning about your services is smooth. 

Personalized Product Recommendations

Every customer is unique and has different needs. Based on the interaction, a chatbot can suggest products or services, increasing the chances of someone converting. 

Real-time Data Collection

Chatbots can also gather data in the background by asking questions and saving the information. This can be used later for more targeted marketing whether the customer converted or not. 

Which is the Best ChatBot for Online Conversions?

Choosing the best chatbot will take a few considerations and be unique to your business. Here are some things to consider:

  • Budget: Chatbot pricing will vary wildly, from free, open-source options to premium ones with all the possible solutions a large, complex company may need. Deciding on a budget will point you toward the kind of processes your chatbot can have. 
  • Industry and Target Audience: Every industry has specific needs they want from a chatbot in order to convert. Make sure the chatbot can do the job you need. 
  • Integrations: It’s important to make sure your chatbot is compatible with your website or CRM for smooth data flow. 
  • Customization: The level of customization varies depending on the platform that offers the chatbot; choosing what customization you need will be unique to your business. 
  • Analytics and Reporting: Gathering data on how well the chatbot is working so you can make changes and convert further is imperative. Make sure to choose a platform with a good analytic and reporting system.

Top Conversation AI Platforms to Explore

Below, we lay out some of the best AI platforms to explore that offer chatbots to convert your website users. This is just a starting point to help you get the ball rolling:

Platform Pros Cons Cost Customization
Drift B2B-focused features, strong lead qualification, good analytics High price point $$$ Moderate
ManyChat Easy drag-and-drop builder, Facebook Messenger focus, rich media options Limited to Facebook Messenger, Instagram and WhatsApp, basic features $ High
Intercom Comprehensive customer service suite, omnichannel capabilities, good reporting Higher cost, complex setup $$ Moderate
Flow XO No-code platform, multi-channel support, flexible integrations Limited free plan, features locked in higher tiers $ High
Botsify Automation focus, lead generation features, multi-language support Can be complex for beginners, limited free plan $$ Moderate

AI Chats with No Restrictions: A Word of Caution

AI chats that have no restrictions are not something you likely want to include in your business. The ethical considerations alone introduce a lot of worrying questions, like how biased the chatbot will be and whether it will give misleading information that will upset your users. Also, avoid chatbots that have harmful biases or lack transparency in their operations. 

Chatbots Help with Online Conversions if Used Correctly

When you understand the potential of AI chatbots, you can harness them for your specific business needs and use them as the powerful conversion tools they are. But first, the chatbot must have content to pull from and a website to be hosted on. That’s where web design and SEO experts come in. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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It’s not easy to stay one step ahead of competitors, especially now that AI can do things much faster than the average person. That’s why it’s so important to keep up with the latest tools that marketers may use to help their businesses. A recent launch to watch out for is OpenAI’s new GPT Store. Although it is not entirely fleshed out or as robust as a marketer might dream, it is still a fantastic resource to explore. 

In this guide, we will take a look at what GPTs are, how to navigate the store, and how they can help you in your marketing journey. We’ll also address potential concerns so you can make the best decision for your business strategy.

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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What Are GPTs?

GPTs are short for Generative Pre-trained Transformers. They are a language model that uses AI to train on massive sets of data, including text and code. These models can create text, translate languages, and write content (which often needs some updating once complete).

GPTs are not really the tools they claim to be. Usually, they are instead assistants who support you, understand what you are trying to accomplish, and have some understanding of the subject. Because of this, you can get tasks done much faster than you used to. 

How to Find GPTs in OpenAI’s Store

OpenAI GPT Store has many GPTs to browse through, mostly created by the community, but some by OpenAI itself. When beginning your search, it’s best to hone down on the things you are struggling to complete in a timely manner. Below are some ideas:

  • Keyword search: Think about what you may be looking for, for example, Tweets for your upcoming content calendar. Then, use keywords like “Social Media” or “Content for…” to find the right tools. 
  • Explore categories: Or you can go to the category most relevant and just take a look to get an idea of what is available. Such as “Writing” or “Research and Analysis.”
  • Read reviews and ratings: Always read the reviews and ratings before using a tool. As these are tools created by the community, you cannot ensure they are made using best practices or that the creator even had a complete understanding of the industry/niche for which the GPT is created. 

Best GPTs for Online Marketing Experts

Currently, there are a few note-worthy GPTs on OpenAI’s store to look at and see if they might work to streamline your processes. It’s important to remember that these tools often guess at keywords and do not use data to back up their findings. These tools are a good starting point but no substitute for an expert who has studied the field of marketing, copywriting, and SEO for years. 

Name Specialty Description
SocialNetworkGPT Social media marketing Crafts winning social media strategies, generates engaging content
CopywriterGPT Ad copywriting & viral marketing Creates compelling ad copy, develops attention-grabbing headlines, suggests viral strategies.
SEO Assistant Keyword research & optimization Identifies relevant keywords, creates optimized content, analyzes competitor pages.
Search – Your market research companion Content marketing strategy Assists in finding niches in business, can help you find the right audience so you know who to target.
Whimsical Diagrams Market analysis & research Can help create customer journey mapping, campaign management, sales funnels and more
Branding GPT Brand development & management Helps in crafting brand identity, advises on brand positioning, and can create logo concepts.

What Are Reasons You Shouldn’t Use GPTs?

GPTs are a great tool to make work processes that much faster, but there are plenty of drawbacks. Here are just some:

  • Limited creativity: GPTs completely lack creativity. This becomes very obvious if you go to a system like Gemini or ChatGPT and ask it to write the opening of a story. It will sound stilted, wordy, and robotic. It lacks nuance, but it works great for offering ideas and foundational aspects of content. 
  • Accuracy and bias: GPTs are actually not that accurate as they are not experts in every field. They are also trained on content and data that already exists and may hold a bias (there is plenty of information online already that isn’t factual, but actually opinion, for it to pull from as fact). Always fact-check. 
  • Ethical considerations: There are ethical concerns about AI-generated content. You must be transparent when using it, which could put off potential leads who are looking for a human touch and not more robotic systems. 
  • Not very knowledgeable: AI isn’t an expert in what it is trying to perform. It is an expert in understanding what you are asking and trying to spit out a response that matches. This is important to remember. Always take what the creator says the GPT can do with a grain of salt.

In Conclusion, The GPT Store Is All About Possibility 

OpenAI’s GPT Store has incredible possibilities. In the future, AI may become better at factual information and creativity. Although that time isn’t now, using GPTs as an assistant will make processes faster and more enjoyable. Imagine handing off all the boring parts of your marketing process to an AI and diving into the more creative aspects with plenty of time to spare. This new store will hopefully open avenues for smaller businesses to get ahead by cutting cost and time and allowing AI to grow into the potential it has to be the perfect assistant. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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Google is working on its latest AI development, VideoPoet, and while the full service is not yet available, there are two versions that marketers can take a look at: a research version and a demo. Both of these versions showcase and explain the technology online. 

Content is a massive part of any marketing strategy, but video has always been a marketing avenue that takes more money and time than, say, a Tweet or an Instagram image. VideoPoet aims to change that and make video marketing content for the web more accessible. In this blog, we will look at the new VideoPoet AI from Google, how it works, and why it will be a fantastic tool when it is released. 

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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How Does VideoPoet Work?

VideoPoet can use the following ways to create videos:

Text-to-Video

First, the AI takes instructions like a playful cat chasing a light and understands the language by breaking it down into steps. The animal, what the animal is feeling, and what it is doing. It then spits out a video of the text. 

Image-to-Video

The AI will analyze the image you feed to it and what objects are in the image. It also looks for any underlying nuances like the feel of the image. Then, it uses its knowledge of movement and light to bring the image to life. 

Video Editing

This AI can make transitions seem smoother, cut parts to make the pacing better, and change the style and feel of a video. It should also be able to edit out background people or images you don’t want included. 

Stylization

If you can think of a specific artist’s style or theme, this AI can replicate it and add it to your video. It can do this even if you feed it text only. Think Van Gough or noir. 

Inpainting

VideoPoet can add back in what has been cut out of an image or remove what is a distraction. If you have a missing scene you want to be added in it can use the flow of the video to achieve this as well. Finally, it can interpret sketches and ideas and fill in the blanks to make it a finished video. 

Steps You Can Take to Complete a VideoPoet Marketing Video

When VideoPoet is completed and on the market, it will take a few steps to get the finished product that can educate your consumers or market to them. 

Step 1: Prepping your Content

To start, you prep VideoPoet with your writing and images from websites, e-books, blogs, product descriptions, and whatever you have on hand. It then analyzes the text and is able to extract the meaning and nuances. 

Step 2: Decoding the Story

VideoPoet aims to be a storyteller, and in marketing, telling stories is how you sell. It uses the knowledge you feed it to understand the brand’s background, the products, the consumers’ lives, and pain points. It identifies key themes and emotions to create visuals that bring your brand, services, and products to life. 

Step 3: Crafting the Visual Tapestry

Next, VideoPoet taps into its extensive library of video clips, images, and sound effects. It uses your content to select the right visuals and sounds to tell the marketing story it needs to in order to sell and educate consumers.

Step 4: Weaving the Narrative

VideoPoet doesn’t just show a slideshow of static images with a bit of text and sound. Instead, it uses algorithms to create transitions, dynamic camera movements, and manipulate images into different animations. 

Step 5: Adding the Finishing Touches

Once the moving image is created, VideoPoet adds sound. This could be effects, music, or even realistic voiceovers. These voiceovers can be translated into different languages, which is great for websites that cater to people all over the world. 

So, What Sets VideoPoet Apart?

There are plenty of quick and easy video creators now that you can use for marketing with static slideshow capabilities. VideoPoet is hoping to take this to a whole new level with dynamic video.

  1. AI-powered Storytelling Magic: Currently, there are plenty of video tools that keyword stuff with robotic-sounding scripts. The nuance simply isn’t there. VideoPoet hopes to change that. 
  2. Stylistic Shapeshifter: As a brand or marketer, you can come up with a goal for your video. Maybe you want something to playfully explain a product or showcase something sleekly. VidePoet will be able to do both, showing you different options and matching the way you want to tell your story. 
  3. Beyond Basic Editing: Editing software is time-consuming and expensive. VideoPoet aims to cut out editing altogether and create a done-for-you video with transitions and camera angles ready to go. 
  4. Cut Down on Hires: These videos won’t need actors, light and sound engineers, animators, camera operators, or writers. The videos will even be able to showcase different facial expressions and emotions. 
  5. Democratizing Video Marketing: Video creation is expensive, and whilst creating something completely unique with professional writers is out of most budgets, a simple video shouldn’t be. VideoPoet levels the playing field, giving everyone access to video marketing. 

Why Video Marketing?

Google knows a thing or two about marketing and what gets people to convert. It’s in their best interest to know this as companies use their platform for search ads all the time. So, if they’re creating an easy way to create video, there has to be a good reason, right? In fact, there is. 

Video shakes things up; there is an 84% engagement rate compared to 10% for written content. The human brain enjoys short-form video, which is why apps like TikTok are doing so well. Video also improves retention rate by evoking emotions that connect to a viewer on a deep level quickly. Some SEOs even argue that websites with video embedded within long-form content will reach the first page of Google more often. This could be due to bounce rate, as viewers are more likely to stay and watch a video on a site over reading text, but it could be Google’s algorithm favoring video, too. Video also reduces customer support costs by answering questions before the potential lead needs to contact you. 

Why Repurposing Content for Marketing Works

Repurposing content for marketing and SEO is a powerful strategy that can save you time, money, and effort. No matter how big VideoPoet gets, the written blog posts and website content you have created with nuance and care are what will feed the AI to create the videos you want to put out into the world. So, written content will always be the home base. But every piece of content you create is done so with time and money, and not every member of your audience or clientele is going to read a blog post, a Tweet, or an FAQ on a website. We all consume information differently, which is why, as a company trying to engage with its audience, you need several modalities. Video is one of them. 

When it comes to SEO, search engines love fresh content or content that has been highly engaged with. If you can take a piece of content that has done well as a blog post and turn it into a video, you can achieve both of these goals at once. Staying fresh and constantly updating your content keeps your brand and services relevant and at the forefront of people’s minds, so when they think of your service or product, they think of you. 

VideoPoet AI: Why Content Matters  

Google’s VideoPoet is poised to make video marketing even more accessible to companies all across the web. But, having the content to put into the AI is where marketers will need to begin. AI also lacks the nuance and care that professionals who understand marketing have. Once VideoPoet hits the market, it will be imperative that there is a professional vetting and editing the content it produces. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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Companies who are looking to build a website with AI tools for web design face the task of selecting all the right tools and support to create a stunning website that actually draws users in. There are lots of ways to use web design AI to help you design a website from start to infinity, like hosting, content on the page, images, and tools that personalize the website once it is live by tracking human behavior. But in this blog, we will look at how to use AI for the visual web design of your website, from builders to colors and typography and even the website’s structure. 

It may be tempting to delve right in and use AI web design generators to make everything, but AI often has many issues, such as inaccuracies and an inability to understand the nuance of ethics. For this reason, it is imperative to hire someone who knows what they are doing and can help you utilize AI to get it done right. 

ClickGiant is a leading digital marketing agency serving clients nationwide. Get in touch today to request a free site audit.

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Best AI Web Builder Tools of 2024

Choosing the right AI web design builder tool for your website is about knowing what strengths you are looking for, your limitations, and your budget. Below, we have put together a comprehensive table comparing different builders. No matter what AI you use, it’s always best to use them as assistants as they lack human touch and expertise. 

Tool Strengths Best for
Wix ADI Easy-to-use, AI-driven design, affordable Beginners, quick setup, simple websites
Squarespace Website Builder Stylish templates, strong mobile optimization, e-commerce focus Creatives, small businesses, pre-built layouts
Duda AI Powerful SEO tools, dynamic content, agency-level features Professionals, complex websites, high-traffic goals
Webflow Designer Visually compelling, code-free design, creative freedom Designers, developers, unique visual identities
Landingi Conversion-focused landing pages, A/B testing, marketing integrations Startups, lead generation, targeted campaigns
Site123 Simple interface, intuitive AI, affordable plans Non-technical users, personal websites, basic needs

Best AI Color Palette Tools for Web Design

An AI website builder may know how to put pages together and allow you to drag and drop different components you will need for your users. But it doesn’t always know what brand colors to use or what colors will complement the brand colors you already have in place. A website developer brings more than coding, SEO, understanding behavior on websites, and structure techniques to the table: they know design. 

There are some color scheme tools that can help you with branding and aesthetics and generate color palettes based on color theory. Colors can evoke certain ideas and feelings in people, so this part of the website-building process is important. Below are some AI tools that can help you find complementary colors. 

For Quick Inspiration and Playfulness:

  • Coolors: Super fast generation, random inspiration, downloadable palettes, ideal for brainstorming, experimentation, and playful exploration. This uses algorithms and machine learning to identify themes that work.

For AI-Powered Personalization:

  • Khroma: Learns your preference, generates unique palettes, and is great for finding fresh, personalized choices that align with your brand and vision.

Best AI Typography Tools for Web Design

Typography is a huge part of design that is hard to get right if you don’t have the eye for it. It can make or break the readability of your site and how people feel when browsing. AI predictive tools have stepped up their game to anticipate your future user’s preferences and automate suggestions for which fonts would work best on your site. Here are some examples to look into:

  1. Fontjoy:
  • Strengths: Uses AI to generate unexpected font combinations based on personality, color palette, and other factors. Great for discovering unique options and injecting playful experimentation into your typography choices.
  • Best for: Creative exploration, finding personality-driven font pairings, and pushing the boundaries of conventional typography.
  1. SkyFonts:
  • Strengths: Offers variable fonts, allowing for dynamic customization like adjusting weight, width, and slant. Ideal for developers and design enthusiasts seeking cutting-edge typographic control and advanced features. It uses algorithms for various results. 
  • Best for: Implementing variable fonts for dynamic typography, achieving precise typographic control, and exploring cutting-edge font technology.

Best AI Wireframing and Prototyping Tools for Web Design

Once you have your brand colors and fonts ready to go, you need to have a blueprint in place for what your website will look like before putting in hours of work. Wireframing and prototyping allow you to plan in advance how your website might look, so you can give these sketches to a web developer or AI to build it. 

What is Wireframing?

Wireframing is a step in the development process that involves creating a visual idea of what a website structure will look like, including grayscale outlines that show where buttons, menus, and content areas will be. 

What is Prototyping?

Prototyping takes the static wireframe design and turns it into something more interactive and closer to how the finished product will look. It can have high or low levels of detail but will help to picture the behaviors that may be exhibited on the website. It will ultimately be used for user testing so that changes can be made before the final site is built. 

Wireframing and Prototyping AI

There are some AI tools on the market that allow you to sketch out ideas or take screenshots of elements you’d love to see on your website. It can then generate web pages using AI to look exactly how you want them to. This is a great planning tool. 

Visily: This site helps you go from rough sketches on paper/devices to beautiful interactive models. It can take pictures and turn them into reality, or if you see something on other websites and apps you really like, you can take screenshots, and Visily will apply it to pages to help them come to life. You can also extract themes from existing sites, images, or keywords. Visily helps transform abstract ideas and dreams of how someone wants a website to look and turns it into an interactive vision ready for testing. 

Lucidchart: This AI lets you drag and drop elements to build out how a website might look, but the AI steps in to recommend different shapes that may fit better or go well with the design you have so far. It also allows you to add hotspots and interactions to show how someone may use your website. Once completed, it is shareable for shareholders, developers or other team members. 

Miro: Miro uses AI to assist in its whiteboard-like application where teams can get together to sketch out a wireframe. The AI can help make suggestions to strengthen the ideas you already have. Its AI has many cool features like background removal, content summarization, and AI-generated mind maps. 

AI Web Design Tools: Are They The Future?

AI tools can help to bring ideas that are stuck in your head to life, which is an incredible advantage for someone who is not a web designer but needs to translate their vision to one. AI can also help create simple websites for the casual entrepreneur. Relying solely on AI is never a great idea, as there are so many pieces moving in the background of websites that only a professional understands. These pieces ensure your website is optimized and working properly. 

If you need assistance with custom content that ranks and gets clicks, improves your brand’s exposure online, increases quality traffic to your site, and converts visitors into customers, contact ClickGiant today. We are a leading digital marketing agency serving clients nationwide. 

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