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Agent 评估 · 工具选择

AskOkara Jev for SEO Workflow

这是 Okara 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

场景

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。

证据

社区公开项目或作者演示

原始来源:Original post on X by @askOkara。作者自述,本站未独立复现。

时间与作者

Okara

记录日期:2026-09-22。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

  1. 先打开原始来源,确认作者、日期与 Jev 在项目中的具体用途。
  2. 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。
  3. 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。
  4. 是否有可观察的正确答案。
  5. 评估输入是否完整。
  6. 分数与人工复核的一致性。
  7. 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

Okara 六个 Agent 使用 Jev 的营销与 SEO 工作流介绍,包含机会发现和 AI 引用分析。

来源原文

Jev is INSANE for marketing. We ran all 6 Okara agents on Jev. They completed the same work 30x faster without compromising quality 1/ Find SEO opportunities -> It audits your site across 100+ data points, fixes technical issues, finds keyword gaps, and prioritizes changes that can grow your organic traffic 2/ Get cited by ChatGPT -> It runs buyer prompts across ChatGPT, Claude, and Google, analyzes who gets cited and why, then creates content to close the gaps 3/ Create and publish content -> It finds keywords your competitors rank for + related terms around your product and pulls volume and difficulty data and writes articles around the best keywords 4/ Find customers on Reddit -> It monitors Reddit for conversations about problems your product solves, prioritizes the best threads, and writes helpful replies 5/ Grow followers and get users from Linkedin -> It analyzes your past posts to learn what you talk about (core themes/topics) along with your voice, style, and tone, then writes new linkedin posts for you every day. 6/ Create content for X -> It learns your topics, tone, style, and voice from past posts, then finds ideas, drafts new posts, and schedules them Rolling out now to all Okara users Try it at http://okara.ai

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.

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