Compare

Armature gets coding agents to pick your product

Most options check whether AI mentions your product or can use it. We find out why coding agents pick a rival instead, and we fix it with your team.

Why it's hard

Agent-led growth is a hard job to do alone

On your own, even with today's tools

  • The advice you find contradicts itself
  • Tools give you a score but not the fix
  • You have no way to test before you publish
  • You can't tell what to fix first
  • Months pass before you see any impact

What you need

You need experts with a proven methodPeople who know what makes coding agents pick a tool
You need a platform built for this workEverything needed to test, learn and measure
Real codebases
Agent sandboxes
Trace analysis
Pre-launch tests
Traffic tracking
Runs at scale

Comparison5 alternatives

Each option covers part of the work, and Armature covers all of it

AI visibility trackers: Profound, Peec AI, AthenaHQ Agent-led growth tools: Gauge, Lightsage, Firegoat AI content platforms: The Prompting Company, GrowthX Content agencies: traditional SEO and content agencies In-house: a hire, or a tool you build
Point
AI visibility trackersProfound, Peec AI, AthenaHQ
Agent-led growth toolsGauge, Lightsage, Firegoat
AI content platformsThe Prompting Company, GrowthX
Content agenciesTraditional SEO and content
In-houseA hire, or a tool you build
A team with its own platform
Tests coding agents, not only chat
No: Chat assistants only
Yes: Yes, coding agents
In part: Partly, mostly chat
No: Search and chat only
In part: Only if you build it
Yes: Any coding agent, like Claude Code, Codex or Cursor
Tasks run on buyer-like codebases
No: Prompts on chat assistants only
In part: Tasks on generic repos
In part: Mostly prompts
No: Keyword research only
In part: Only if you build them
Yes: Codebases built for your market
Explains why agents pick a rival
In part: A visibility score
In part: Scores and failed tasks
In part: Mention rates
In part: Expert opinion
In part: Manual reviews of sessions
Yes: The agents' own reasons, from their traces
Writes and ships the fixes
In part: Suggests edits
In part: Generates articles
Yes: Writes content
Yes: Writes content
Yes: Yes, once you hire
Yes: A growth engineer ships them with you
Tests fixes before they go live
No: No
No: No
No: No
No: No
No: No
Yes: Yes, on the same codebases
Checks what agents install in the code
No: No
No: No
No: No
No: No
No: No
Yes: Yes, in the final code
Who does the work
Your marketing team
Your engineers
Their software and staff
The agency
Your new hire
Our team, with yours

Checked against each product's website in November 2026.

How we work

We run this loop with your team

ExperimentsAgents on real codebasesAnalysisWhy agents chooseEditsContent, docs and listingsImpactQualified AI traffic, measured
  1. ExperimentsAgents on real codebases
  2. AnalysisWhy agents choose
  3. EditsContent, docs and listings
  4. ImpactQualified AI traffic, measured

What's included

  • We start with an agent readiness scan45 checks on whether agents can reach your content and trust your sources
  • We map your marketYour rivals, as coding agents see them
  • We analyze how agents chooseA thousand sessions, every one read
  • We write and ship the fixesContent and docs, tested before they go live
  • We measure the resultsPicks and qualified AI traffic
  • A growth engineer works with your teamA shared Slack channel, active every day

Ready to get discovered?

Coding agents are already choosing tools for your users. Be the one they pick.