Writing for People and AI Answer Engines
Your content now has two audiences: search engines and the AI tools that summarise and cite it. The good news is they reward the same things readers do.
By Ahmed Khaled
For years, "write for search" meant one thing: help Google's crawler understand your page so it ranks. That still matters. But more and more, your content has a second audience — the AI answer engines that read it, summarise it, and cite it in a reply the reader may never click through from.
Writing for both at once has a name now — people call the second part GEO, for generative engine optimisation — but the fundamentals are less exotic than the acronym suggests.
What both audiences reward
Search engines and answer engines want the same core things, and they happen to be the same things human readers want:
- A clear answer, early. Don't bury the point under 600 words of throat-clearing. State it, then support it.
- Structure a machine can parse. Honest headings, short sections, and lists make a page easy to skim — and easy to extract.
- Claims that can be checked. Specific, sourced statements are what a model is willing to quote. Vague ones get skipped.
Where they differ
Search rewards a page that comprehensively covers a topic. Answer engines reward passages that stand on their own — a paragraph that still makes sense when it's lifted out of the page and dropped into a summary. So I write sections that are self-contained: each one answers its own heading without leaning on the three above it.
If a single paragraph of yours can be quoted accurately with no other context, you've written something both a reader and a model can trust.
The part that doesn't change
None of this works on top of thin content. You can't optimise your way out of having nothing to say. The durable move is the old one: know the subject, say something true and useful, and make it easy to follow. The engines are just getting better at rewarding exactly that.