How do you develop a content strategy that works across Google and AI search simultaneously?

A content strategy that works across Google and the AI engines at once is built on the recognition that the two reward heavily overlapping signals, so one well-built program can serve both rather than splitting effort. The one discipline specific to the AI engines is writing for the extract – structuring content so a model can lift an accurate, self-contained answer from it – but even that improves search performance through clarity and snippet eligibility. Because the same query can return materially different answers across ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode, we build to the shared standards and then verify each layer separately with IMPACT™ for search and AIQ™ for the engines, rather than assuming one fix propagates everywhere.