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Aeonav for developer tools companies

AEO for Developer Tools Companies

Get recommended inside the coding assistants and AI answers developers now consult before choosing a library or platform.

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Self-Host for Free

Aeonav Overview page: Visibility, share of voice, sentiment, and position at a glanceAeonav Visibility page: How often AI names you, per prompt and modelAeonav Share of Voice page: Who AI recommends instead of youAeonav Sentiment page: How AI describes you when it mentions youAeonav Responses page: Every AI answer, with each brand's rank and toneAeonav Query Fan-Out page: The searches AI runs behind each answerAeonav Citations page: The sources AI trusts in your categoryAeonav Opportunities page: What to do next, ranked by impact

Overview. Visibility, share of voice, sentiment, and position at a glance.

A Complete AI Search Visibility Workflow

  • AI Visibility Tracking
  • Share of Voice
  • Citation Analysis
  • Sentiment Analysis
  • Prompt Research
  • Rank Tracking
  • Site Audits
  • API and MCP

Your buyers are asking AI. Is it naming you?

Developers adopted AI assistants faster than any other audience, and they use them at exactly the moment of tool selection: which library handles this, what should I use instead of that, how do I do this in that framework. The recommendation arrives inside the editor, and it is frequently acted on immediately.

This is the one category where documentation quality is the whole game. Assistants are trained and grounded on public docs, examples, and the discussions around them. A tool with clear, complete, crawlable documentation gets recommended; one whose docs are behind a login, rendered client-side, or thin on runnable examples effectively does not exist to the model.

Prompts developer tools companies should track

  • best library for [task] in [language]
  • how do I [task] with [framework]
  • [tool] vs [tool]
  • alternatives to [tool]
Tracked up to 4× daily in
  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • AI Overviews
and more

See the Product Before You Sign Up.

See tracked prompts, competitor share of voice, sentiment, citations, and ranked opportunities in a guided walkthrough.

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The AEO playbook for developer tools companies.

What gets a brand named in AI answers in your category, and where Aeonav shows you the gaps.

  1. 1Make documentation server-rendered and crawlable

    AI crawlers generally do not execute JavaScript. Documentation that renders client-side is invisible to them no matter how good it is — a surprisingly common and entirely fixable failure.

  2. 2Publish runnable examples for real tasks

    Assistants quote code. Complete, copy-pasteable examples organised by task are what get surfaced; API reference tables alone rarely are.

  3. 3Write the migration and comparison pages

    'Alternatives to X' and 'migrating from X to Y' are high-intent developer queries and are usually only answered by whoever is being migrated away from.

  4. 4Publish an llms.txt and keep docs available as markdown

    Serving plain markdown alongside the rendered docs gives models a clean, unambiguous source and removes any dependence on their HTML parsing.

Where Aeonav fits

Aeonav tracks the library and framework recommendation prompts developers actually run, across engines, and reports which sources drove each citation. As an open-source tool it also runs inside the environments developer-tools companies already trust.

Get startedBook a Demo

From Zero to a Plan in One Afternoon.

No sales call, no bloat. Aeonav sets up your tracking and tells you what to change.

  1. Aeonav prompts settings listing the buyer prompts tracked for Nike, each tagged by topic

    1Add your brand

    Point Aeonav at your site. It suggests the prompts your buyers ask and the competitors to track against.

  2. Aeonav visibility page showing per-prompt visibility over time against competitors

    2See where you stand

    Visibility, share of voice, and the sources AI cites, sampled up to 4× daily from the real apps.

  3. Aeonav opportunities page with prioritized recommendations for content and sources

    3Know what to fix

    Opportunities ranked by impact. Aeonav keeps you updated, so you always know what to do next.

Every Answer Engine Your Buyers Use.

Aeonav both scrapes what real users see in popular AI search tools and captures all other models with direct API calls and OpenRouter.

  • ChatGPT
  • Claude
  • Gemini
  • Perplexity
  • AI Overviews
  • AI Mode
  • Copilot
  • Grok
  • DeepSeek
  • Mistral
  • Qwen
  • Kimi
  • All OpenRouter LLMs

Why Teams Choose Aeonav

  • More Frequent Data

    Aeonav can run prompts against tracked models up to 4× daily.

  • Focused Scope

    We only do AEO / GEO, but we do it very well.

  • API + MCP

    Connect Aeonav to your stack and AI agents.

  • Open Source

    Self host at any time, with no lock-in.

Simple, Self-Serve Pricing.

We recommend Pro for developer tools companies: 150 prompts across 4 AI platforms, checked 4× daily, for $299/mo. Unlimited seats on every plan.

Starter$29/mo
  • 1 brand, 50 prompts
  • ChatGPT only
  • Answers checked 1× daily
  • 10 DataForSEO calls/day
  • No premium models
Basic$99/mo
  • 1 brand, 50 prompts
  • Any 4 AI platforms
  • Answers checked 4× daily
  • 30 DataForSEO calls/day
  • No premium models
Best for developer tools companiesPro$299/mo
  • 2 brands, 150 prompts
  • Any 4 AI platforms
  • Answers checked 4× daily
  • 75 DataForSEO calls/day
  • 20 premium prompts 1× daily
Business$649/mo
  • 5 brands, 350 prompts
  • Any 4 AI platforms
  • Answers checked 4× daily
  • 150 DataForSEO calls/day
  • 30 premium prompts 1× daily

Self-Hosted

Run the same product on your own servers with access to the full source.

Read the Setup Guide

Custom

More brands, custom prompt limits, higher sampling rates, and any models.

White Label

Offer AI visibility tracking to your clients under your own brand, domain, and SSO.

Compare Every Plan

Self-Host for Free.

Self-Host

Upstream-Compatible Setup

Aeonav is built from the MIT-licensed Elmo project. Its self-host path uses the upstream Elmo CLI (@elmohq/cli) and Docker Compose.

Read the Self-Host Guide

  • Open Source

    MIT-licensed and runs on Docker.

  • Own Your Data

    Everything is stored in Postgres.

  • Bring Your Own Providers

    Connect supported model and scraping providers.

Read the Setup GuideView the Source on GitHub

Frequently Asked Questions

Something we did not cover? Email support@fivecoder.com.

How do AI coding assistants decide which libraries to recommend?

Largely from public documentation, code examples, and community discussion. Tools with thorough, crawlable docs and plentiful runnable examples get recommended far more often than equally capable tools with sparse or client-rendered documentation.

Does client-side rendered documentation hurt AI visibility?

Significantly. Most AI crawlers do not execute JavaScript, so client-rendered docs return an effectively empty page. The content exists for human readers and not for the models developers ask for recommendations.

What is llms.txt and should a developer tool publish one?

It is a plain-text file that points models at your most important documentation in a clean, parseable form. It is cheap to publish and removes any reliance on a model correctly parsing your rendered HTML.

Start Winning AI Search Today.

Start tracking your brand in minutes. Plans start at $29/mo.

Get StartedBook a Demo
  • Self-Serve
  • API and MCP Access
  • Open Source

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