# Armature vs Scrunch AI

> Scrunch AI is a full monitoring and optimisation suite for AI search. Armature measures whether coding agents install your product.

Source: https://armature.tech/library/armature-vs-scrunch-ai
Published: 2026-09-03
Publisher: Armature, Inc. (https://armature.tech)

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Scrunch AI is one of the more complete products in the AI search category. It goes further than monitoring, which is the main thing that separates it from the trackers. It still measures a different surface from Armature.

## The short answer

> **Scrunch AI** is a full answer engine optimization suite: multi-model monitoring, site auditing, optimisation recommendations and AI content delivery, from around $250 per month. **Armature** measures whether a coding agent installs your product, by running Claude Code, Codex and Cursor on real tasks inside realistic repositories.

## What Scrunch does well

- **It closes the loop.** Most tools in this category stop at reporting. Scrunch audits the site, recommends changes, and helps deliver content built for AI consumption. If nobody on your team is dedicated to acting on a visibility score, that matters more than the score itself.
- **Multi-model coverage.** It tracks across the major assistants rather than one or two.
- **Built for this, not bolted on.** It is AI-native rather than an AI module added to an existing SEO suite, which shows in the workflows.
- **Reasonable entry price for the scope.** From about $250 per month for brands is fair for a suite rather than a tracker.

If your problem is "we are not present in AI answers and nobody here knows what to change", Scrunch is a sound answer to that problem.

## What Armature does

Armature answers a different question: when a coding agent has to solve a problem your product solves, does it install your product?

The method is a real experiment rather than a prompt test. A real coding agent, at a pinned version, works inside a repository that looks like a real project: a company name, a README, a real lock file, a replayed git history. It gets a request written as a specific kind of person. It reads, decides, sometimes searches, recommends. A simulated project owner approves or pushes back. Only then does the agent write code. A judge from a model family that builds none of the agents reads the session blind and records what was chosen, what was rejected, and why.

The published set: 5,292 judged sessions, 18 categories, 51 repositories, 481 frozen prompts, every run replayable.

## Side by side

| | Scrunch AI | Armature |
| --- | --- | --- |
| Surface | AI assistants answering people | Coding agents installing software |
| The test | Prompts to chat models | A real agent in a real repository on a real task |
| Scope | Monitoring, auditing, optimisation, content delivery | Measurement, plus a growth engineer who ships the changes |
| Output | Visibility, citations, recommendations | Install share, and the reason for every loss |
| Includes a codebase | No | Yes |
| Ends in running code | No | Yes |
| Price | From about $250 per month | Service from $5,000 per month |
| Buyer | Marketing or AI search team | Growth and product teams at developer tool companies |

## Where they genuinely overlap

Documentation quality.

Both surfaces reward the same things: content that answers a specific question directly, current versions stated on the page, tables instead of prose for anything comparable, real numbers, plain HTML rather than JavaScript-rendered content, and a Markdown or plain text version of important pages.

Do that work once and it pays on both surfaces. Scrunch will help you find the gaps on the chat surface. The same fixes help an agent integrate you correctly.

## Where the overlap ends

Everything about the repository, which is the largest lever in the agent surface and has no equivalent in an AEO suite.

**The repository decides most of it.** The same hosted database request on JavaScript codebases produced one winner 111 times out of 111. On TypeScript codebases the same product won 48 out of 132.

**Incumbency beats instruction.** A sentence in a repository file naming a preferred product was followed 16 times out of 18. Install a rival library into the same repository and it loses two times out of three.

**Your competitor may not be a competitor.** In five of the eighteen categories we measured, the most common outcome was that the agent wrote the code itself. Performance CI: 52% built in-house. Evals: 29%. Agent frameworks: 25%. No vendor won those sessions. Every vendor lost to a script.

An AEO suite cannot see any of that, because there is no repository, no incumbent and no code in the test.

## Which to choose

**Scrunch AI if** people research your category in chat assistants before deciding, and you want monitoring plus a path to acting on it in one product.

**Armature if** a coding agent installs products in your category without a human comparison, and you want to know your install share, split by agent, language and persona, plus the reasons behind the losses.

**Both if** your category is researched by humans and implemented by agents. Authentication, databases and observability all look like that.

## The cheap way to decide

Run 300 coding agent sessions yourself before buying either. Three repositories that look like your users' projects, ten requests written as symptoms rather than category names, five runs each with Claude Code and Codex.

If agents are installing your competitors while a human never compares anything, no amount of AI search optimisation reaches that decision. If agents mostly hand the choice back to a person, the chat surface is where your market is and a suite like Scrunch is the right purchase.

## Common questions

### What is Scrunch AI?

Scrunch AI is an AI-native answer engine and generative engine optimization platform. It combines multi-model monitoring and analytics with site auditing, optimisation recommendations and AI content delivery. Plans start at about $250 per month for brands and $500 per month for agencies.

### How does Armature differ from Scrunch?

Scrunch works on the surface where AI assistants answer questions for people. Armature works on the surface where coding agents install software into codebases, which is measured by running Claude Code, Codex and Cursor on real tasks in realistic repositories.

### Is Scrunch AI worth it for a developer tool company?

It is worth it for the part of your market that researches in a chat assistant. Its auditing and content delivery features make it more actionable than a pure tracker, which matters if you have nobody dedicated to acting on the data.

### Do the two overlap at all?

They overlap on documentation quality. Clear, current, extractable content helps both a chat model describe you correctly and a coding agent integrate you correctly. Everything about the repository has no equivalent in an AEO suite.

### Which is the better first purchase?

Scrunch if your category is researched by people before a decision. Install share measurement if a coding agent installs products in your category without a human comparing vendors.

## Read next

- [The best AI visibility tools for developer tools in 2026](https://armature.tech/library/best-ai-visibility-tools-for-developer-tools) (Markdown: https://armature.tech/library/best-ai-visibility-tools-for-developer-tools.md)
- [Armature vs Profound](https://armature.tech/library/armature-vs-profound) (Markdown: https://armature.tech/library/armature-vs-profound.md)
- [Armature vs Peec AI](https://armature.tech/library/armature-vs-peec-ai) (Markdown: https://armature.tech/library/armature-vs-peec-ai.md)
- [Agent discoverability vs generative engine optimization](https://armature.tech/library/agent-discoverability-vs-geo) (Markdown: https://armature.tech/library/agent-discoverability-vs-geo.md)

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Armature helps software products get discovered and used by coding agents.
Service: https://armature.tech/discoverability · Results: https://armature.tech/leaderboards/sectors · Contact: contact@armature.tech