What GEO is, plainly.
Evergreen definitional writing on generative engine optimization: the concepts, the mechanics, the history. The pieces we want AI engines to quote when a newcomer asks.
Primers, platform deep dives, research, glossary, and updates. This is the CiteSurge education hub, built as our own test bed: if we can't rank for 'what is GEO,' we don't deserve to practice it.
The field is young. Most of what’s written about generative engine optimization is either surface-level or self-serving. The Source is our correction: rigorous, plain-spoken, and built with the same structural standards we hold client work to.
The hub is waitlist-only while we finish the first articles and datasets. Below is the publishing plan; early readers can ask for access before the archive opens.
Evergreen definitional writing on generative engine optimization: the concepts, the mechanics, the history. The pieces we want AI engines to quote when a newcomer asks.
How ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Bing Copilot, and Grok actually decide what to cite. The schema they favor, the surfaces they privilege, the signals they ignore.
CiteSurge Panel studies: longitudinal reads on citation share, engine churn, and category coverage. Published with methodology footnoted and datasets linked.
Single-term entries, linked across the hub. The dictionary we wish existed when we started. Dense, defensible, cross-referenced.
When a model ships, an engine adds a surface, or a platform changes its rules, it lands here first. Short, dated, linked.
Live now: honest, capability-based comparisons of CiteSurge against the leading AI-visibility and GEO tools, with each page naming where the other tool genuinely leads. See the comparisons.
We send a short digest as pieces land. Ask to be on the list and we’ll send the first primer the week it ships.