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One prospecting bot per use case, mining 30 days of X conversation

People describe the exact problem you solve on X every day, and you never see them.

共有

困っていたこと

Kipp Bodnar (@kippbodnar) posted an eight-step prospecting recipe now that Grok Bot can search X: a bot per use case, full product context, 30 days of posts, a spreadsheet, enrichment, and a scoring model. Not affiliated with xAI.

インストールまたは作成するもの

Make one bot per use case of your product and give it everything: pricing, features, case studies, reviews. Have it find the last 30 days of X posts and comments about that use case and return posts and profiles in a spreadsheet. Add enrichment for contact details, have the bot build a fit score from past customers, then reach the best-fit people.

ボット

  • Use-case prospector

    Finds X conversations about one use case and scores the people in them.

プラグイン

  • X

    任意

  • HubSpot

    任意

ファイル

  • Spreadsheet of posts, profiles, enrichment, and fit score.

ルーティン

  • 初回の実行では使いません。まず手動で1回通して確認してください。

プロンプト

Prospecting recipe (author-quoted, final step omitted)

Quoted from @kippbodnar — as published. Do not invent a second system prompt.

1. Build a Grok Bot for each use case of their product or service offering.
2. Give each bot the full context of that product and service offering. Pricing, features, case studies, customer reviews, all of it.
3. Have each bot look at the last 30 days of posts and comments where people are talking about that use case on X.com
4. Have it return those posts and profiles as well as any profile data in a spreadsheet.
5. Integrate data enrichment services to get phone and email for those contacts.
6. Have your bot build a scoring model based on past customers.
7 Call, message or email the best fit people.

初回実行

  1. 1Read https://x.com/kippbodnar/status/2107977161386701097 (credit @kippbodnar).
  2. 2Pick one use case of your product and make a bot for it.
  3. 3Give it full context: pricing, features, case studies, reviews.
  4. 4Ask for the last 30 days of X posts about that use case, with profiles, in a spreadsheet.
  5. 5Have it score the list against past customers, then approve who to contact.

承認フェンス

Keep outreach on ask-first: review the scored list and approve every call, message, or email before anything goes out under your name.

調整ポイント

Split by use case so each bot knows exactly what conversation to look for.

出典

KippBodnar.eth @kippbodnar · 元の投稿

xAI とは提携していません。このプロンプトは当サイトが書いたものではありません。第三者テンプレートの規約も適用されます。

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