Originally published on marketing.kainjoo.com.
For twenty years, “being found” meant ranking. That model is being replaced. People increasingly ask a question and get a composed answer — from ChatGPT, Perplexity, Gemini, Google’s AI Overviews — that names a few brands and never shows the ten links. The discipline that wins there is an operating system for AI search, and it collapses SEO and ASO into one job.
The unit of competition has changed from a ranking to a mention. An AI answer is a verdict, not a menu: if your brand is not in the set the model assembles, you are absent from the conversation entirely. So the goal is to be one of the handful of sources a model trusts enough to cite — and the metric to watch is how often, and how favourably, AI platforms mention you versus competitors. The first move is to audit how your brand compares with competitors in AI search.
Treat it as a system with four parts: presence (machine-readable brand facts on every surface a model crawls), clarity (so a model represents you correctly), citations (earning presence in the third-party sources models pull from), and measurement (tracking share of AI mentions like you once tracked rankings). The brands that win will be the ones a model can find, understand and trust enough to recommend.
References
- Semrush, Spotlight Bootcamp — AI Search (SEO + ASO). https://www.spotlightconf.com/semrush-bootcamp
