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An open-source Peec AI alternative that acts on what it finds

Peec AI tracks how brands show up in AI answers. Tin audits your visibility with a method you can read, then drafts the answer pages that close the gaps.

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

What Tin does in place of Peec AI

Peec AI is an AI search analytics platform that tracks brand visibility, position and sources across AI assistants over time.

the jobhow Tin does itworkflow
Checking whether AI answers recommend youFive target-blind buyer questions, published as AI_VISIBILITY.md.visibility.audit
Doing something about itAnswer pages drafted from the findings, for review.content.answer_page
Combined SEO and AI checkOne audit across technical SEO and AI visibility.organic.audit

What Tin does not replace

Tin is not a clone. Here is where each one fits.

Peec AI still does this better

  • Daily tracking of many prompts across many AI engines.
  • Competitor benchmarking dashboards and trend charts.

Choose Tin when

You want to know where you stand and ship the fix, with the method in the open.

Stay with Peec AI when

You need continuous monitoring and reporting across engines for a brand team.

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

Tin connects to Claude Code, Codex or Cursor over MCP. That agent has your repository open and knows your product, customers and voice, so it fills the inputs and reviews the output. You never brief a new tool from zero.

All workflows →

The workflows behind this page

Each one is a folder in the repo. Open a page for its steps, inputs and output.

Questions

Which AI engines does Tin's audit cover?

The visibility audit measures one assistant across five buyer questions. It is a measurement you run, not multi-engine tracking.

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.

More AI visibility alternatives

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