FAQ
What's the difference between SEO and GEO?
SEO optimizes for traditional search engine rankings (blue-link results). GEO (Generative Engine Optimization) optimizes for being cited inside AI-generated answers — Google AI Overviews, ChatGPT Search, Perplexity, Claude, Gemini. The signals overlap partially but not fully: only ~11% of domains cited by ChatGPT are also cited by Perplexity. RankPropel covers both and treats each engine as a separate optimization surface.
Is this a course or a community?
It's a course: written lessons + the full 'Winning AI Search' book (EPUB + PDF) + downloadable code/schema templates. Screen-recorded video is planned per module and lands free for members as it's produced. There's no community/Discord — the focus is shipping changes to your own site, not chatting about them.
Is the price one-time or subscription?
One-time. $199 today, lifetime access to the book and to all current and future modules. Two of eight planned modules are written so far, plus the book — the founding price is why you'd come early. No subscription, ever.
What's the refund policy?
14 days, no questions asked. Email us and we refund the full amount.
Do I need to know SEO already?
No, but the course assumes you're comfortable reading and writing code (HTML/CSS/JS), running shell commands, and editing config files. Every lesson includes ready-to-paste code where relevant.
Does this work for a brand-new site with no traffic?
Yes — actually that's the ideal time to start. Modern AI citation patterns favor structurally-clean newer pages over older 'authority' domains; 47% of AI Overview citations come from pages ranking below position 5.
How is content delivered?
Text lessons with code, diagrams, and screenshots, plus the book as a single offline read. You go at your own pace. Video is bonus material as it's recorded — never required to complete the course. Future updates land automatically in your dashboard.
Will this go out of date?
AI search is moving fast — that's exactly why lifetime updates are part of the deal. Major changes (new engines, ranking algorithm shifts, schema updates) trigger lesson revisions.