AI search engine optimization is the discipline of getting named and recommended when buyers ask AI assistants instead of typing into Google. This guide covers how it works and how to start this week.
Google returns a ranked list and lets the buyer choose; assistants return a synthesized answer that has already chosen. That collapses awareness and consideration into one response, and makes inclusion, framing, and cited sources the new ranking factors.
Training-data reputation, built from years of consistent third-party description. Live retrieval, which favors current, structured, extractable pages. And entity clarity, the machine-readable consistency of your brand facts. Every effective tactic maps to one of these three.
Baseline twenty buyer prompts across all four assistants. Fix the pages behind your worst losses so the answer sits in the first screen. Earn presence in the sources Perplexity cites for your category. Re-run monthly and fix the next gap. That loop is the whole discipline; everything else is refinement.
Optimizing for one assistant, measuring with single runs, chasing head terms while qualified variants sit open, and buying dashboards without budgeting execution. Each produces motion without movement.
If the loop outgrows your team, Aethon runs it end to end, mapping, tracking, execution, and revenue attribution. Book a demo and we run your prompts live.
The practice of getting AI assistants like ChatGPT, Gemini, Claude, and Perplexity to name and recommend your brand when buyers ask for advice.
Yes. SEO targets ranked links; AI search optimization targets synthesized answers, which weight extractability, consistency, and cited-source presence.
Baseline your buyer prompts across the four assistants, fix your weakest answers, earn cited-source presence, and re-measure monthly.