Most redundant business practices can be replaced with effective use of AI tools which may be freely available to you and your team. AI prompt engineering refers to articulating requests when working with models like ChatGPT to get desired outcomes & perform tasks. We can help by training your team on how to do this efficiently and help lower workload for simple tasks.
ChatGPT Prompt Engineering specifically can help with most of these daily business tasks:
- Defining web content topics and articles
- Drafting memos and internal content
- Researching topics and presenting relevant information
- Editing for tone, voice and context
- Identifying areas for further research or service provision
Different large language models can improve work in visual areas and can even help generate both presentation materials and video content. One powerful but often underappreciated element in prompt engineering is the use of links—URLs that can serve as references, data sources, or context enrichers. Whether embedded directly into the prompt or used as guidance for follow-up questions, links open up diverse capabilities in real-world AI applications. Here are some prompt engineering examples of what can be accomplished with our optimization training services:
Context Expansion via Linked Articles or Documents
One of the most practical uses of links in prompt engineering is to expand the model’s contextual understanding. For example, a user writing a summary of a research paper might include a link to the original study:
“Summarize the key findings from this article: [link to academic paper]”
This allows the model to either interpret or simulate interpretation of the linked content, helping it generate accurate summaries, critiques, or even reformatted content like blog posts, social media snippets, or reports.
2. Creative Content Based on Web Pages
Content creators often use prompt engineering with links to generate creative work. For instance:
“Using the information on this page [link to travel destination guide], write a 60-second TikTok script for a travel influencer.”
Here, the link provides raw content that informs tone, detail, and relevance, helping the model match the voice and style expected for the platform and audience.
3. Data Extraction and Reformatting
AI models can be prompted to extract data from linked pages and reformat it. For example:
“From the table of contents on this URL, create an outline in bullet points: [link to book or course webpage]”
This use case is common in education, marketing, and technical fields where users want a digestible format of a large, structured data source.
4. Brand Voice Imitation from Linked Websites
When training AI to write in a specific tone or brand voice, linking to a company’s homepage or blog is a powerful tactic:
“Write a press release in the tone used on this brand’s website: [link to brand site]”
Prompt engineers can use links this way to capture subtle stylistic patterns, helping maintain consistency across content written by both humans and AI.
5. Comparative Analysis Between Linked Sources
Links can be used for instructing the model to compare or synthesize information:
“Compare the main arguments made in these two opinion articles: [link 1], [link 2]”
This is ideal for academic use, policy debates, or even product comparison blogs. The model can simulate a thoughtful synthesis based on the perceived intent and claims of each link.
6. Real-Time or Fresh Data Retrieval (With Tools)
While the AI itself may not always browse live content, some versions (especially those connected to plug-ins or tools) can fetch real-time information via links. Prompt engineering here might include:
“Check the latest prices for this product: [Amazon or retail link] and create a pricing chart compared to competitors.”
This is useful for market research, e-commerce, or financial forecasting.
Conclusion
Prompt engineering with links enables smarter, more contextually rich interactions with AI. Whether summarizing content, mirroring tone, extracting data, or comparing perspectives, the strategic use of URLs helps unlock precision and depth. As AI tools continue to evolve, prompt engineering with links will play a critical role for small businesses especially between static content and intelligent outputs.