The world of technical writing and DevRel has just not been the same ever since ChatGPT ushered in the era of LLMs for the masses. Over the last few years, we have observed companies cutting content teams, replacing long-form technical writing with short-form social media, and even publishing AI-generated articles at scale with no real expertise behind them.

In the meantime, developers have quietly changed how they solve technical problems. They don't sift through 10s of Stack Overflow questions or scour through the 2nd page of Google Search results to find the ideal answer. They now ask ChatGPT, Gemini, or Claude.

If your product is not a part of those answers, you are effectively invisible to your target audience at (maybe) the most important stage of evaluation today.

Here's the truth: AI can not replace writers today. But that doesn't mean AI should not be part of your content engine. AI can offer a massive productivity boost to your content teams, and your content teams need to create content that both humans and AI tools can consume.

In this talk, I will break down how AI-assisted long-form technical content can substantially drive growth for developer-facing products. We will explore the structural differences between content that ranks in traditional search and content that large language models retrieve, summarize, and cite. I will also share a practical workflow for creating in-depth, technically accurate articles that both rank on Google and influence AI-generated answers.