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切换到中文Playbooks, docs and straight answers. Detailed enough to run this yourself; using Sourso is optional.
Generative engine optimization is the work of getting named and cited when an AI answers a question in your category. It overlaps with SEO without being the same job: the pages an engine quotes are often not the pages that rank, and what a buyer reads is a sentence rather than a list of links.
Three routes through the same material, depending on what you already know.
Read what GEO is, then how to measure whether it is working. Measurement first is deliberate: without a baseline you cannot tell a change from noise.
Start with what carries over and what does not. Most of the technical work you have done still counts; the ranking model behind it does not apply.
Read what this category of software does before reading anyone’s feature list, including ours. Then check whether the engines your buyers use are covered at all.
How to track whether ChatGPT, Claude, Gemini, DeepSeek and Doubao actually cite your brand: what to measure, how often, and what a good number looks like.
Read it →The long reads: how answer engines pick sources, and how to write pages they quote.
4 playbooksField notes from running GEO ourselves: what got cited, what did not, and why.
4 postsGetting started, how workspaces and identities work, and the agent manifest reference.
4 pagesHow to get cited, how to check where you stand, and what Sourso costs.
16 questions