Sitecore Just Got Smarter. Here’s How to Fully Utilize Sitecore AI
Artificial intelligence is now a part of what makes digital experience platforms work. The artificial intelligence part of Sitecore is not just something it is a big change in how people like marketers and developers and content teams do their jobs. Artificial intelligence is important, to Sitecore. It changes how all these people work together.
The Intelligence Layer is Here
For years Sitecore was known for managing content for businesses. It was powerful, structured and very customizable. All that power often meant things took a long time. Campaigns took weeks to set up. Personalization needed a lot of analysts.
Sitecore AI changes all that. AI is now built into the platform. From XM Cloud and Content Hub to Personalize and Search. AI helps you throughout the process of creating digital experiences. It's not a chatbot you add on. It's not a tab. It's, like having help built into every step.
Sitecore AI isn't one product. It's a way of thinking: every time you use Sitecore it should be smarter faster. Understand more about what you need.
What SitecoreAI Actually Does
Before we start using SitecoreAI let us understand what it can do for us today.
SitecoreAI has something called AI Content Authoring. This means it can help make, change and translate content inside the editor of XM Cloud. It does this using prompts that tell it what to do. Now our writers do not have to start with a page, they can take the content that SitecoreAI makes and make it better shape it and then approve it.
Here are some other things that SitecoreAI can do:
Auto-Tagging and Classification: This means SitecoreAI can suggest tags and categories for our content. This saves us a lot of time because we do not have to do it
Predictive Personalization: Sitecore Personalize uses models to give our users the experience that is right for them. It does this by looking at what they're doing and giving them what they need at that moment.
Semantic Search: This means Sitecore Search can understand what our users are looking for. It is not just looking at the words they use it is trying to figure out what they want. Then it gives them the content at the right time.
AI-Driven Analytics: This means SitecoreAI can look at our data and find things that're not normal. It can also find patterns. Tell us how we can make things better. It does all of this without us having to ask it to.
Translation Intelligence: This means SitecoreAI can help us translate our content into languages. It does this quickly. Makes sure it sounds like our brand. This helps us get our content to people, around the world much faster.
How to Really Use SitecoreAI: A Simple Guide
1. Change Your Content Workflow to Work with AI Writing
The mistake people make is using AI to fix their writing. They write something then ask AI to make it better. Do it the way around. Use AI to write the draft not to just review it.
First make templates for the kinds of content you write often. Like product pages, blog posts, email subject lines and calls to action. Save these templates in Content Hub so everyone on your team can use them.
Next set some rules for your brands voice using the AI settings. Give the system your tone of voice guide so it always sounds like your brand without needing to be fixed every time.
Finally have a person review the content after AI writes it. AI does the draft and your editor makes sure it is good. This way of working is 40% faster, than writing everything from scratch. You still get to control the quality of the content.
2. Turn On Predictive Personalization on a Big Scale
The AI models in Sitecore Personalize are only as good as the information you put into them. A lot of teams turn on this feature. Do not use it to its full potential, which is about 30 percent because they do not connect the data sources correctly.
You should connect the data streams from your Customer Data Platform directly to Personalize. Make sure the information about what people do on your site like how they scroll, what they do during their visit and how they interact with products gets to Personalize through the Edge delivery layer. The AI models are always changing. The more information you give them the better they will be at predicting what people want and the more relevant their experiences will be.
You should use Decision Models of just following rules. The decision-making process in Sitecore that uses Machine Learning can work better, than A/B rules within a few weeks of being used but only if you let the model make its own decisions instead of overriding it with rules that you think are right but are not based on data. Sitecore Personalize and its AI models need information to work well so you should use Sitecore Personalize and its Decision Models to get the best results.
3. Supercharge Content Hub with AI Taxonomy
Auto-tagging is a must-have to really make an impact use AI to create a dynamic content taxonomy that matches how your audience searches, not how your team organizes content.
Enable tagging in Content Hubs AI settings and link it to your search schema in Sitecore Search. This link between content tagging and search results is where you can significantly boost conversions.
In the month check AI suggestions every week. This feedback helps the model learn cases and brand terms that regular AI might not know. Put in the effort on and the system will keep improving.
Use AI-created taxonomy data to power your personalization engine. When content signals are connected audience segments become more accurate. This creates a cycle: better tagging leads to better personalization, which leads to better performance data.
4. Use Semantic Search to Make Money
The artificial intelligence part of Sitecore Search is really good at understanding what people mean when they search for something. It gets the context and the synonyms. What the user is looking for. But a lot of the time people are still just using keywords to search because the semantic part was not set up correctly when it was first put in. This is a mistake that can cost a lot of money.
You should check how your search is set up now. Make sure that the vector embeddings are turned on and that all your content is properly indexed. Also make sure that the relevancy tuning console is set up for the types of content on your site.
Then you can add some features like suggestions, for search queries that are powered by artificial intelligence and a "did you mean" feature. Just these two things can reduce the number of times people search for something and do not get any results by 25 to 35 percent. This means you can make back some of the money that you were losing because people were not finding what they were looking for on your site. Semantic Search can really help you make money.
5. Use AI Analytics to Close the Feedback Loop
Most of the time the people who make the content do not have the time to look at the analytics. SitecoreAI can find things and make sure everyone sees them, but this will only work if you use it every week.
You should make reports that come to you automatically from Sitecore's AI insights layer. Every Monday you should look at the things that do not seem right. Then someone on the team should be in charge of using those insights to make changes within 48 hours. The time between looking at the data and making changes, to the content should be a few days, not a few months. You should use AI Analytics to close the feedback loop with SitecoreAI.
The Pitfalls to Avoid
SitecoreAI is really powerful but making mistakes when you use it can stop it from working or cause problems for your brand. You need to watch out for these mistakes.
Over Automation: The biggest mistake people make is trying to automate much. If you take away the check on important content like legal pages, pricing and crisis communications you are taking a big risk. This risk is not worth any gain you might get from being more efficient. You should build in exceptions to your workflow from the start. Make sure to protect them.
Data poverty: Data poverty is a problem that can hurt your personalization efforts without you even noticing. If you use AI models that do not have a lot of information about what people do, they will not work as well as simple rules made by people. You should not turn on Predictive Personalization until you have a lot of Data from user sessions. This is because the artificial intelligence model needs a lot of Data to learn from so it can make predictions about what people will do. Data is very important for the model to work well so you need to have Data, from user sessions before you start using Predictive Personalization.
Prompt neglect: Prompt neglect is a leak. The quality of the things that AI authors write gets worse over time if you do not take care of the prompts. You should think of your collection of prompts as something that is always changing and growing like a living document. This means you should look at it every months make sure it is up to date, for special events that happen at the same time every year and get rid of the prompts that always need a lot of work before you can use them.
What's Coming: Sitecore AI on the Way
Sitecore's plans show they're moving fast. We can look forward to connection between Content Hubs AI tools and XM Clouds building blocks. This means AI will not suggest words, but also different layouts and design choices based on real-time performance data.
The goal is to have an AI assistant that works across the DXP system. It will create content, tailor delivery to individuals examines results and use those insights to improve the creative project. All, on its own all the time and getting better with each passing day.
The teams that get good at using Sitecore AI now will be the ones working at speed when these features are fully developed.
The Bottom Line
Sitecore is really counting on Artificial Intelligence. They have everything they need to make it work. The systems are all set. The Artificial Intelligence models are up and running. The question is not if your company should use Sitecore AI , but how fast you can change the way you work teach your people new skills and put all your information together to get the most, out of Sitecore Artificial Intelligence.
The best teams are not waiting to see what Sitecore Artificial Intelligence can do for them. They are already working on it with Sitecore Artificial Intelligence.
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