0xPascual Jev for SEO Workflow
这是 Pascual ⚡ 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 @0xPascual。作者自述，本站未独立复现。
Pascual ⚡
记录日期：2026-09-20。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
解释 SEO/GEO 结构性检查为何适合分类和路由，并重复转述约 $250 到 $25 的成本说法。
来源原文
JEV just cut its SEO/GEO agent from $250 to ~$25 and nobody's talking about it. Same job description: search sweeps, citation checks, coverage gaps, thousands of page corrections. Nightly runs, not monthly retainers. The interesting part is how. Heavy generative LLMs are the wrong tool for structural checks. Small classifiers plus probabilistic routing do the triage, and only the genuinely ambiguous cases get escalated. Per-job inference lands in fractions of a cent, not dollars. Agencies aren't losing on quality. They're losing on the fact that the expensive tier of SEO work was never analysis, it was throughput with a human signature attached. A $0.0004 decision model that finds the same broken citations is a hard thing to bill $250/month against. Polymarket has Anthropic at 86% to have the best AI agent by end of October 2026: https://polymarket.com/event/which-company-has-the-best-ai-agent-end-of-october?r=php That's the frontier. The money is quietly draining out of everything below it.
原记录的限制
- Implementation details are based on the author's public post on X.
- Performance figures and benchmarks are author-reported community claims.
- Production deployments may require custom calibration and policy thresholds.