Everyone is rewriting their SEO strategy for ChatGPT, Perplexity, and AI Overviews. Most of that rewriting is theatre.
The premise everyone is getting wrong
There is a narrative forming that answer engines require a fundamentally new approach. Having audited over 200 pages that get cited regularly in AI answers, we can say: the playbook is the same. The pages that get cited were already doing good SEO. They just stripped out the filler.
What AI systems actually reward
Structural clarity, semantic precision, entity consolidation, and authoritative citations. None of these are new. What changed is the penalty for ignoring them. Traditional search could tolerate 60% fluff because it matched keywords. Answer engines cannot because they extract coherent answers, and fluff degrades extraction quality.
The practical implications
Audit content for information density. Cut filler introductions. Remove scaffolding paragraphs. Consolidate fragmented content into single comprehensive resources. Structure for extraction: use headings that are genuine labels, definition lists, comparison tables, and step-by-step sequences.
Write less. Mean more.
The biggest shift is editorial, not technical. Answer engines penalise verbosity, reward precision, and are indifferent to brand voice when it obscures clarity. The pages that win are well-researched, clearly structured, and written by someone who understands the topic. That is not a revolution. It is good writing applied to SEO.