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Chances are, you’ve already come across multiple websites with pretty accurate and intelligent chatbots. The chatbots are usually on SaaS or e-commerce sites, helping out users in real-time.
With chatbots in place, the website owners ensure 24/7 customer support, enhancing customer satisfaction and saving on support staff.
Well, chatbots are only that useful thanks to AI in web development. And, there’s more to it! Stick around to find out how AI is transforming web development and how your business can start benefiting.
For this guide, we’ll focus on the most impactful ways AI has transformed web development. Yes, there’s more to come, and we’ll keep an eye out and update this piece. For now, these are the areas in web development you should be using AI to stay ahead of:
1.Refining user experience through real-time data updates and analytics
Before AI came into the picture, we used to rely heavily on statistical analysis to break down certain data elements, helping us understand customer behaviour. Now, AI does most of the data tracking and analytics.
Thanks to solutions like an AI browser, your website can obtain data from other websites, especially competitor sites. And, with this data, you can track what your competitors are doing and adjust accordingly.
Moreover, websites are now fitted with intelligent scripts that monitor user actions like clicks and purchases.
The scripts then share the data with specific AI models that analyse the data to tell whether the user is stuck executing a specific action, is interested in a particular product, or needs help to achieve an objective.
2.Accelerating website development
Even if you are not that techy, AI makes it possible for you to create a website in minutes. There are platforms designed to take in plain English instructions and generate fully responsive websites.
The platforms in question have AI models that are trained on multiple website designs. So, once you key in a prompt, the AI model integrated into the platform can generate a whole website with little to no human intervention.
Besides the platforms that generate websites through prompting, no-code platforms are also on the rise. The no-code platforms give you access to pre-developed drag-and-drop blocks alongside AI-powered features. Some platforms do include AI chatbots to help with brainstorming.
3.Optimizing content creation
AI tools like Copy.ai and ChatGPT can generate blog posts, social media posts, and even whole novels. This is made possible by training the tools on multiple text examples and writing styles.
You can prompt these text-generating AI models to create service pages, product descriptions, blogs, and FAQ content. This saves time and money.
Apart from text, there are AI models for generating videos, images, music, and voice-overs. This means you can create infographics, visuals, and even videos just from prompting an AI model.
Remember, these content-generating AI models are not only built to follow your instructions, but they also focus on a specified tone, style, and theme. Also, you can create content in multiple languages.
4.Enhancing or generating UI/UX designs
With AI tools like Galileo AI and Wizard, brainstorming and visualising UI/UX concepts is getting quicker. These tools can generate website layouts based on text prompts, accelerating the process of going from idea to building.
In addition to generating layouts, you can have AI track user interactions like scrolls, clicks, and hovers. Through analytics, the AI can then tell what improvements need to be made to a specific page.
You can also allow AI to collect data during UI/UX design, allowing it to detect design elements and styles that are used consistently. Then, the AI model can suggest what design elements to turn into reusable components and what styles to use consistently.
5.Coding support
Other than design support, AI can also help with coding websites from start to finish, including debugging.
Tools like Tabnine and GitHub Copilot can help with completing lines of code or writing entire blocks of code. This speeds up web development and reduces chances of syntax errors.
The AI tools can also scan through existing code and find common mistakes or bugs. Some tools keep scanning codes while you write it, highlighting logical errors, performance issues, and security vulnerabilities.
If you are interacting with new code, AI is there to provide code explanations. It can read through user manuals and code documentation to help you understand or review a team member’s code.
6.Enhancing cyber threat protection strategies
Compared to a human, AI can continuously scan through system activities or logs 24/7. If an unusual login attempt or strange data pattern develops, the AI can respond promptly or alert the cybersecurity team to respond.
Essentially, cybersecurity AI tools are mostly trained on data that helps it learn what’s normal and what’s not. That’s how it tells when something is wrong.
You can integrate AI into your website and have it scan code and user activity, helping detect security threats. You can have it actively analyse logs, detecting developing cyber threats. This way, you can stop certain threats before they have a major impact on your operations.
Also, AI can help with staying ahead of malicious actors. This is possible if only you feed it with updates on what’s going on in the cybersecurity space. It will break down the data and help you know how vulnerable your website is.
7.Optimising brand visibility through search
AI has changed search a lot, spreading the effect to website search engine optimisation.
Several search engines, especially Google, now rely on AI to determine what results to show to users. This means users rarely click on the links leading to website pages. The users simply read what they need to know directly within the search results page.
So, how’s AI helping with the situation, yet it is at the centre of the change?
AI helps with content optimization by recommending keywords that would mostly need the user to click on the link leading to a web page. AI analyses search intent alongside keywords and tailors content that’s likely to lead to higher engagement and visibility.
Even with AI transforming web development in these seven ways, it is crucial that you don’t rush into using AI tools for web development. Analyse your current way of web development and find that crucial spot in which AI is really needed.
If you don’t know where to start using AI in web development, consult with a specialist. Sometimes, just integrating AI into web development processes can slow down development or introduce several hiccups.