Advancing Website Development with AI.

How AI is personalising the website experience

How AI is personalizing the website experience is broken into two steps. The first is highly customized user journeys that adapt to browsers and devices, and the second, the changing of each website page itself in real time.

Step one: Highly Customised User Journeys

While creating a website is relatively straightforward, monitoring data and metrics to achieve the optimal conversion rate for both the business and the user experience is not. This can be a complex and time-consuming process that often requires a team of experts to plan content and website pages for each individual user. Genysys Engine uses deep market insights to create user journeys based on the target audience, device, location, time of day, and other factors. This approach allows us to deliver personalized and relevant experiences that drive conversions and improve the overall user experience.

Stage 2: Personalized website pages

Personalized website pages can be divided into two main sections: customized user journeys and personalized content.

• Customized user journeys are flexible and adapt based on the user's goals. This means that the website can be tailored to the individual user's needs and interests, resulting in a more positive and engaging experience. The engine can build websites in real-time, allowing it to build the page for the user that is viewing it. This ensures that the user always sees the most relevant and up-to-date content.

• Personalized content refers to changing the text and images on the page for the individual user. This can be done based on a variety of factors, such as the user's demographics, interests, and past behaviour. For example, if a user is looking for an item of clothing, they could see themselves wearing the item to get a better idea of how it would look on them. This type of personalization can help to create a more immersive and relatable experience for the user.

Both customized user journeys and personalized content can be used to improve the user experience and increase conversions. By tailoring the website to the individual user, businesses can create a more personalized and relevant experience that is more likely to keep users engaged and encourage them to take action.

How AI Is Making Development Much Easier

Genysys Engine's artificial intelligence (AI) can understand the content and context of a website page to understand the business and website user goals. This technology can be used to create other intelligent tools for the development and marketing industry more easily.

Genysys Engine is launching an intelligent website audit which gives more precise and accurate data for Enterprises to save months of work and boost their bottom line. We will also be launching an extension of Snappr, the website snapshot that provides a screenshot of the website and the content on the page, the audit version will also include SEO, user experience, accessability, performance and predictions.

We are also releasing a tool to take a website page and turn it into HTML for developers to quickly make changes. This saves developers time and resources.

As the AI engine learns, we will also be releasing models that will allow designers to go from sketch to website, and essentially sketch to HTML. This will allow them to create personalized digital assets like websites, applications, and email templates.

How AI Is Improving Website Security

Artificial intelligence is improving website security in a variety of areas. It can be used to aid threat detection and prevention, incident response, vulnerability scanning and user authentication.

Threat Detection and Prevention: Using AI we can analyse & simulate large amounts of data such as website traffic, user behaviour and infrastructure to predict or identify threats and take action to prevent the risk. This can be anything from restricting sessions to real-time communication with engineers.

Vulnerability Scanning: AI can scan websites for vulnerabilities; this can be content that should not be listed or security vulnerabilities in the website itself. It can take action to either correct these weaknesses and content errors or use real-time communication to alert engineers.

Incident Response: AI can be used to automate the process of reporting incident response by delivering real-time communication with the team responsible. It can also speed up the tedious admin tasks of recording and filing the incident by creating the documents first before being checked by the responsible team.

User Authentication: AI can be used to create more secure authentication systems which can prevent unauthorised access to websites.