Ira Bodnar’s Ryze AI SEO/GEO workflows
这是 Ira Bodnar 公开的项目资料。本站按原始来源展示项目信息，用中文说明适用场景和阅读边界；项目名、源帖与代码保持原样，便于逐项核对。
这条案例记录了什么
Agent 评估、工具选择
为已记录的输出或轨迹提供分类、分数或复核信号。
社区公开项目或作者演示
原始来源：Original post on X by @irabukht。作者自述，本站未独立复现。
Ira Bodnar
记录日期：2026-09-19。日期与身份应以原始资料为准。
原始演示视频
视频来自此案例记录的原始媒体；播放内容和作者声明不等于本站复现。
怎样核对这个项目
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 如果提供仓库，再检查代码、运行要求和许可证；仓库存在不代表本站已经运行成功。
- 对速度、成本、准确率和规模数字，查看原文的任务、环境和计算口径。
- 是否有可观察的正确答案。
- 评估输入是否完整。
- 分数与人工复核的一致性。
- 工具列表和版本。
原始文字与技术细节
以下内容保留原语言，供核对事实。中文页的场景说明是阅读提示，不是逐句翻译或实测结论。
展开英文项目摘要与原帖
项目摘要
Ira Bodnar says Ryze AI uses Jev across seven SEO/GEO workflows: assessing competitor pages, identifying page elements to revise, checking answer coverage, estimating citation potential, sorting buyer-intent queries, proposing internal links and reviewing AI-written drafts.
来源原文
Jev killed 7 more SEO/GEO workflows 👇 1/ Assess which competitor pages to copy -> It scores every competitor page on answer, depth, proof and freshness, then checks its rank in Google and ChatGPT to show which ones are worth copying 2/ Identify which page elements to change to get cited -> It reads the title, meta, H1, FAQ and schema on every page and returns keep or change for each, with a confidence score 3/ Check if your pages answer what people ask AI -> It matches real buyer questions to your best page, which shows the questions you have no page for and who AI cites instead 4/ Rate how likely each page is to get cited -> Every URL gets a citation chance and the first fix to make, like adding a compare table 5/ Sort search terms -> It asks "is this query from a buyer?" across the full Search Console export, so you write only for terms that convert 6/ Build the internal link map -> For every page it checks the 15 closest candidates and links only the ones with an honest reason 7/ Verify AI-written pages -> Each draft goes through 20 yes/no checks, and only the ones that pass reach a human Available in the Ryze AI app and MCP/Claude Connector, link in the 1st comment 👇
原记录的限制
- The post lists product workflows but does not provide a public repository or a reproducible Jev configuration for this case.
- Citation likelihood, buyer intent and page quality are author-described product judgments, not measured search outcomes verified here.
- The associated video and post show a product demonstration; they do not establish that all seven workflows improve rankings or citations.