Prompt Engineering

AI assistants answer a question by quoting the sources they can understand and trust. Prompt Engineering decides whether your page is one of them. ChatGPT, Perplexity, and Google AI Overviews each read a page, extract the part that answers the question, and cite it. A page they cannot parse is skipped, however well it ranks.

This page explains what changes that outcome: a self contained answer near the top, a plain definition of the entity, question led headings, short claims worth citing, and evidence placed beside the claim it supports. Each one is a change you can make today and check afterwards.

• One common error is using vague instructions. People might ask for "good content" or "a summary of the article." This seems reasonable because humans often understand context and implied meaning.

  However, an AI lacks this human intuition. Vague prompts lead to generic, unhelpful, or off-topic responses. The AI guesses what "good" means or which aspects of a summary are most important.

  Correction: Be specific. Instead of "write good content," try "Write a 200-word blog post about the benefits of daily stretching, targeting busy professionals." Specify length, topic, and audience.

• Another mistake is not defining the AI's role or persona. Users often just ask a question, expecting a neutral answer. This seems logical, as many search engines provide neutral information.

  Without a defined role, the AI's response might lack the desired tone, perspective, or depth. It could sound too academic when you need a casual explanation, or too general when you need expert advice.

  Correction: Assign a clear role. For example, "Act as a financial advisor explaining compound interest to a high school student." or "You are a travel blogger. Describe the best things to do in Kyoto, focusing on unique experiences."

• Users frequently make the error of overloading a single prompt with too many requests. They might ask for a blog post, social media captions, five hashtags, and an email subject line all at once. This appears efficient, aiming to get everything done in one go.

  The reality is that the AI may miss some requests, provide shallow answers, or become confused about priorities. The quality of each individual output suffers significantly.

  Correction: Break down complex tasks into a sequence of prompts. First, ask for the blog post. Then, in a separate prompt, instruct, "Using the blog post provided, write three social media captions."

• A fourth common mistake is not specifying the desired output format. People often ask for information without stating how it should be presented. This seems natural, as human conversations flow freely.

  However, the AI might provide a long paragraph when a bulleted list was needed, or vice-versa. This makes the output harder to read, extract, or use directly.

  Correction: Explicitly state the format. Instead of "Tell me about the benefits," try "Provide the benefits as a bulleted list." or "Present the data in a table with two columns: 'Feature' and 'Description'."