# Fenn

> Fenn tracks how often ChatGPT, Claude, Gemini, Perplexity, Grok and Google AI Overviews cite your brand — and then opens the pull request that fixes what it finds. All engines are included on every paid plan, tracking runs daily, and a hosted MCP server lets Claude or ChatGPT drive the whole product. Free tier available; paid plans from $29/month.

Fenn is a Questera product at https://fenn.sh. The application lives at https://app.fenn.sh.

Measurement is reported per engine, never blended, using four metrics: Visibility Score (share of tracked answers mentioning your brand), Share of Voice (your share of all brand mentions in those answers), Average Position (how early you are named), and Sentiment (whether the mention helps you).

The capability no other tool in this category ships: Fenn writes the fix as a real diff against your repository and opens a pull request for it. Gated tools never execute on call — they return `pending_approval` and wait for a human to approve in the dashboard.

## Docs

- [Home](https://fenn.sh/): What Fenn does, the four visibility metrics explained with their formulas, the agent-first MCP model, the pull-request fix loop, and an FAQ.
- [Pricing](https://fenn.sh/pricing): Four plans. Free (1 domain, 5 prompts on 1 engine weekly, 10 keywords, MCP enabled). $29/month (10 prompts, all engines, daily). $79/month (50 prompts). $199/month (agency, 25 client workspaces, white-label). Credit top-ups for metered usage.
- [MCP server](https://fenn.sh/mcp): The full 15-tool surface across three bands, with copy-paste setup for Claude and ChatGPT and a worked example.
- [About](https://fenn.sh/about): Who builds Fenn, what we believe, and how we handle competitor comparisons.

## Comparisons

- [Fenn vs Peec AI](https://fenn.sh/vs/peec): Capability-by-capability comparison. Unverified competitor capabilities are marked "Not published" rather than asserted as absent.
- [Fenn vs Profound](https://fenn.sh/vs/profound): Self-serve published pricing and an agent-drivable MCP surface compared with an enterprise-first visibility product.
- [Fenn vs Otterly.AI](https://fenn.sh/vs/otterly): Monitoring compared with monitoring plus an approved pull request that implements the fix.

## Blog

- [What is Answer Engine Optimization (AEO)?](https://fenn.sh/blog/what-is-answer-engine-optimization): Definition of AEO, how it differs from SEO, the four metrics, and the unglamorous causes of low citation.
- [The four metrics of AI visibility, defined precisely](https://fenn.sh/blog/four-metrics-ai-visibility): The arithmetic behind Visibility Score, Share of Voice, Average Position and Sentiment, plus the failure mode of reading each one alone.

## Optional

- [Privacy](https://fenn.sh/legal/privacy): What we collect, retention windows per plan, sub-processors, and how to export or delete your data.
- [Terms](https://fenn.sh/legal/terms): Monthly subscription terms, repository access rules, and the guarantee that no pull request opens without human approval.
- [Sitemap](https://fenn.sh/sitemap.xml): Every indexable URL on the site.