The technical detail of GEO (Generative Engine Optimization) — a full series from concepts to mechanisms to hands-on tactics.
L1 Beginner: for brand owners / marketing leads. GEO concepts, what's happening, why it matters — free & fully public.
Doing GEO for an individual contractor, freelancer, or knowledge creator is fundamentally different from doing GEO for a company. This post breaks down 6 steps specifically designed for personal identity — from building a verifiable "individual entity" to accumulating third-party authority.
As GEO gets hotter, most leaders are asking "how much should we shift from SEO to GEO?" This post gives allocation principles across three stages (early / growth / mature) and 4 common budget-mix mistakes.
GEO stands for Generative Engine Optimization — the new battleground for brand visibility in the age of AI search. This post explains what GEO is, why it matters, and how it differs from SEO, in plain language.
Industry research finds that roughly 85% of brand mentions in AI answers come from third-party pages and only 15% from a brand's own site — off-site mentions are roughly 5.7× the volume of owned mentions. This doesn't mean your own site is unimportant (52% of Gemini's citations still come from brand-owned domains, the foundation of your GEO body), but doing your own site is just the ticket of entry — the remaining 5.7× battlefield is off-site. This post unpacks the four quadrants of off-site authority in the AI era: knowledge bases, video, local forums, and third-party reviews.
When AI recommends you to a customer, they don't sign on the spot. They pass through 5 distinct touchpoints before signing — each requiring different GEO support. This post maps the full B2B journey from "asking ChatGPT" to "signing the contract."
Should your blog live at blog.example.com or example.com/blog? Should language variants use zh.example.com or example.com/zh/? This architectural choice directly affects how GEO signals concentrate and how authority transfers across your site. We break down four architectures and the decision framework.
Perplexity and Google AI Overviews cite FAQ structures at an unusually high rate. This post unpacks the 5 checkpoints GeoWeb uses to assess FAQ/Q&A readiness, each mapped to a specific mechanism in how LLMs decide what to cite.
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