The previous post briefly discussed how to ask artificial intelligence for suggestions to improve SEO and the way chatbots reference and use technical documentation. Here we present a revised and adapted version, with practical examples and useful recommendations for product teams and developers.
Opening with ChatGPT can be surprisingly simple and effective. ChatGPT allows you to preload a prompt in the URL using the q parameter, for example chat.openai.com/?q=Can%20you%20summarize%20this%20page%3A%20https%3A%2F%2Fdocs.example.com%2Fmi-pagina, which opens the session with initial context and makes it easier for the assistant to already have the page referenced. This technique works well for quick cases where we want the assistant to summarize or comment on specific documentation without having to manually copy and paste large blocks of text.
However, other LLMs like Claude or Gemini do not accept this type of URL parameter, possibly for security reasons that prevent malicious injections through links. For those platforms, deeper integrations, API usage, or processes requiring authentication and controlled content submission are necessary, which implies more engineering work.
A practical alternative we have seen in many documentations is the copy for AI button that takes the page content in markdown and puts it on the clipboard. This way, the user can paste the content into any LLM or artificial intelligence service without the assistant having to browse the web. This option can also save tokens and simplify workflows when working with custom applications or custom software where context accuracy is critical.
It is advisable to measure the use of these features. Analytics tools like Plausible allow you to define custom events that record when Open with ChatGPT or Copy for AI is clicked. With these events, it is possible to create filters and dashboards to see if these features provide real value and deserve greater product investment.
At Q2BSTUDIO, a company specialized in custom software and application development, we implement solutions that integrate documentation with AI agents, implement AI for businesses, and create custom AI agents that help their teams have the necessary context in chats and assistants. We also offer cybersecurity services to protect LLM integrations, AWS and Azure cloud services to deploy scalable infrastructures, and business intelligence services with Power BI and data pipelines that feed models and dashboards.
If you need help integrating your documentation into conversational workflows, designing custom software that connects with language model APIs, or creating AI agents that use your internal sources securely, Q2BSTUDIO can support you from audit to deployment. Our capabilities include applied artificial intelligence, cybersecurity, custom application development, AWS and Azure cloud services, business intelligence services, and Power BI solutions to improve decision-making.
In summary, preloading context in ChatGPT is a quick and useful solution for many cases, copy for AI offers flexibility and token savings, and tracking metrics allows validating adoption. If you are interested in bringing these improvements to your products or documentation, contact Q2BSTUDIO and discover how our custom software, artificial intelligence, cybersecurity, AI agents, and business intelligence services can accelerate your project.
