When we create content for AI systems we need to think about how machines look at information. AI systems do not read content like people do. They break it down into pieces, pick out the useful parts and put them together to answer questions.
To make our content work well with AI systems we should set it up so each part can stand alone. Of using long paragraphs or telling stories we should break our content into clear parts that answer specific questions. This makes it easy for AI systems to find and use our information.
One good way to do this is to use answer- writing. We should start each part with a clear answer and then add more explanation. AI systems like content that answers questions away without needing to figure it out.
It is also very important to have a structure. We should use headings, like H2 and H3 that clearly say what each part is about. We should not use headings that’re not clear because AI systems use headings to understand what our content means and if it is relevant.
Being clear is more important than being creative. We should always explain our ideas in a way instead of hinting at them. We should define terms to show how things are related and avoid using language that is confusing. AI systems like content that’s easy to understand and does not require guessing.
Another important thing to remember is to use content. Each part should focus on one idea. Be complete by itself. This makes it easy for AI systems to take out that part and use it to answer questions.
Using formats, like bullet points, lists, comparisons and step-by-step guides also helps people see our content. These formats are easier for AI systems to process and summarize correctly.
Finally our content should be unique and trustworthy. AI systems are more likely to highlight content that gives definitions strong frameworks and reliable information rather than content that is generic or repetitive.
