TinTinWorkflows
GitHubSign in

Answer engine optimization that starts from measured gaps

Tin reads your latest AI visibility findings and drafts a public-facing answer page for a question you are missing from. You review it before it goes anywhere.

Find it on GitHub
codex mcp add tin --url https://app.tin.computer/mcp

What the workflow does

A Tin workflow is a repeatable job: declared inputs, a bounded run and a defined output. The steps below are what this one does, every time.

  1. 01Reads the latest AI visibility findings in the project.
  2. 02Picks a buyer question where you are not found or not recommended.
  3. 03Drafts a Markdown answer page written for that question.
  4. 04Waits for review. Feedback revises the same document.
ask your agent

Draft a Tin answer page from our latest AI visibility findings.

workflow keycontent.answer_page
outputMarkdown content draft in project Files
needsA finished AI visibility audit.
guardrailHuman review. It is for public content, not general advice or internal questions.

What every workflow here comes with

Battle tested on real products

These are the workflows we run for real companies. Claw Messenger went from about $45 to $2,105 in monthly revenue in 124 days on them. Each one has declared inputs, bounded execution and tests, and anything public waits for your review.

See the case study →

Open source: read it, fork it, self-host it

Apache 2.0. Every workflow is a folder in the repository: the steps it runs, the data it reads and what it is allowed to do. Change it, or run the whole system on your own machine.

Open the repo →

Runs on the agent that already knows your product

Answer pages only work when they are specific. Your agent supplies the product detail a generic tool would invent.

All workflows →

Using something else for this today?

What this workflow replaces in each product, and what it does not.

Questions

Has this worked on a real site?

In the Claw Messenger project on the homepage, four posts from this workflow brought 12,103 visitors in July 2026.

What is the difference between AEO and SEO here?

The page is written to be the best answer to one buyer question, so both search engines and AI assistants can cite it.

Is Tin really open source?

Yes. Tin is licensed under Apache 2.0 and the source is at github.com/tin-computer/tin. You can read every workflow, change it, and self-host the whole system.

Which coding agents can run Tin workflows?

Any agent that speaks MCP, including Claude Code, Codex and Cursor. There is also an API, and the same projects run in the browser at app.tin.computer.

Why run marketing from a coding agent?

Because it already knows your product. It has the repository open, so it fills workflow inputs accurately, reviews output against what the product really does, and can act on the results in the same session.

Add Tin to your coding agent

Run this once in your terminal. It connects Tin to your agent and opens the sign-in. Then ask your agent to grow your project.

Find it on GitHub
codex mcp add tin --url https://app.tin.computer/mcp