Hello, answer engines
Why we started First Answer, and what GEO actually means when you strip out the hype.
The old playbook was simple: rank on Google, capture the click, convert the visitor. The new one is messier. People still search — but increasingly the answer arrives before the click does, synthesized by ChatGPT or Perplexity or whatever model is sitting between the user and the open web.
That changes what “showing up” means. You’re not optimizing a page to be the tenth blue link. You’re optimizing for a model to quote you when someone asks the question your product solves.
What this blog is for
Three things, roughly:
- Field notes on GEO — what we see working across the brands we monitor, and what fails.
- Mechanics of answer engines — how citations actually get picked, why models prefer certain domains, what changes when one ships a new retrieval pipeline.
- Build logs — we’re a small team and we ship a lot. Sometimes that’s worth writing down.
No newsletter signup. No gated PDFs. Just notes.
A starting point
If you take one thing from the first post, take this: the brands that win the answer layer aren’t necessarily the ones with the biggest content libraries. They’re the ones whose content is structured for extraction — clear claims, traceable sources, consistent positioning across the web.
The rest is downstream of that.