As of July 2024, ChatGPT had approximately 2.9 billion monthly visits, compared to Google’s 130.1 billion, Facebook’s 13.2 Billion, X’s 4.1 billion, and Amazon’s 3.2 billion.
While ChatGPT’s monthly visits might seem like peanuts in comparison, it has built a strong user base in months and will likely continue to dominate as AI search gains popularity.
Similarly, we’re seeing these major search engines and social media platforms incorporate generative AI into the user experience.
What does this mean for your customers and prospects? Consumers can use new and existing platforms to interact with your content in a more natural conversation style.
They can ask questions, build on ideas, and get answers without leaving the interface.
So, how can brands maintain their visibility on these platforms and control how their content is understood in the face of generative AI? The answer boils down to three things:
- Investing in great content.
- Developing a content knowledge graph.
- Having a growth mindset.
Together, these three pillars will ensure that people and machines understand your brand and content, enabling your team to thrive in this new world of generative AI search.
Let’s start with content.
Investing In Great Content
Over the last two years, we’ve seen Google place heavy emphasis on “Helpful, reliable, people-first content.”
This means creating helpful, reliable content that focuses primarily on your audience’s needs – not the search engines.
While this seems logical, it’s a big shift from the old way of developing website content for search engines.
Your content should seek to provide a comprehensive answer to your audience’s questions, address any additional information they might need to know, and demonstrate your brand’s first-hand expertise or experience in the topic.
I love how people-first content brings us back to content as a service. Your content answers questions, helps make decisions, points people in the right direction, and delights them.
For brands to thrive in this new age of AI, they must continue to invest in great content. This requires your team to take the time to understand your audience and their changing needs, find gaps in your current content strategy, and iterate on existing content to continue delighting your audience.
Apart from investing and evolving your website content to delight your audience, you must also ensure that search engines, AI, and other machines can easily understand your content and infer answers from your data.
You can do this by implementing advanced schema markup on your site to develop a content knowledge graph.
Developing A Content Knowledge Graph
Earlier this year, Gartner published its research on the 30 Emerging Technologies That Will Guide Your Business Decisions in 2024.
It identified generative AI and knowledge graphs as two emerging technologies organizations should start investing in to be ready to utilize when they mature. While generative AI has gained widespread popularity through its productivity potential, knowledge graphs remain less well-known.
A knowledge graph is a collection of relationships between things defined using a standardized vocabulary, from which new knowledge can be gained through inferencing.
In fact, Google and Microsoft have been using knowledge graphs to generate knowledge panels and infer answers in search since 2010.
Many research papers, including the article Unifying Large Language Models and Knowledge Graphs: A Roadmap, explain that knowledge graphs “can enhance LLMs by providing external knowledge for inference and interpretability.” Hence reducing the risk of hallucinations in LLMs.
Content knowledge graphs, similar to a knowledge graph, are collections of relationships between entities on your website. Many digital marketing organizations have invested in building content knowledge graphs for their web data by implementing advanced schema markup (aka structured data).
Schema markup, also known as structured data, is machine-readable data that helps search engines understand the content on a page and show the content as a rich result on the search engine result page. However, the value of schema markup goes beyond that.
Your website content is filled with entities about your business – for example, your location, your employees, your products, etc.
When you describe the entities on your page and define their relationship with other entities in your business and things in the world using schema markup, you’ve effectively created a content knowledge graph.
Your content knowledge graph, filled with factual data based on your website content, can help AI and search engines infer things about your brand and provide users with accurate answers to their queries.
It can also help your content team identify areas where content is lacking or could be improved, thus supporting your content strategy.
Having A Growth Mindset
The third pillar to thriving in this new world of AI and search is the mindset of your team.
The marketing industry is experiencing unprecedented speed of change, propelled by AI.
As AI technology grows exponentially more powerful, those who don’t keep up will have to play catch up and potentially lose out to competition.
Therefore, teams that want to thrive must keep their learning hats on at all times and be ready to adapt and embrace innovation.
Furthermore, silos within organizations must be busted.
Take the two capabilities I mentioned earlier: schema markup and content knowledge graphs. Their success depends on the cross-functional work across marketing, SEO, IT, digital, and support.
Together, these teams will need to try something new, measure what they can, see if it drives the business’s desired outcomes, and then iterate on what they’ve learned.
At Schema App, we say that we are either “winning or learning,” and this is what I view as having a growth mindset.
In the Harvard Business Review article, What Having a Growth Mindset Really Means, author Carol Dweck defined having a growth mindset as:
“[individuals] who believe their talents can be developed (through hard work, good strategies, and input from others)… they worry less about looking smart and put more energy into learning.”
Organizations that fully embrace the growth mindset also see greater collaboration and innovation.
In Summary
As the world of AI and search continues to evolve, there are things you can do now, like invest in content and develop a content knowledge graph to control how AI and search engines understand your brand and content.
However, fostering collaboration and innovation within your team is the key to thriving in this ever-changing world of AI and search.
When your team embraces a growth mindset, no matter the changes disrupting search, content, or AI, you’ll be ready.
More resources:
- Just How Important Is Structured Data In SEO?
- How To Maximize Your Reach Using Google’s Knowledge Graph
- Entities In SEO: What Are They And Why Do They Matter?
Featured Image: Gracia Chua/Schema App
