RRepoGEO

REPOGEO REPORT · LITE

aaronjmars/aeon

Default branch main · commit 6b93a39c · scanned 6/14/2026, 10:43:11 AM

GitHub: 512 stars · 170 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface aaronjmars/aeon, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Explicitly state the primary technology stack in the README's opening paragraph.

    Why:

    CURRENT
    The most autonomous agent framework. Give it a direction — it'll use 197 skills (deep research, PR reviews, market monitoring, Vercel deploys…) to get it done. No approval loops. No babysitting. Configure once, forget forever.
    COPY-PASTE FIX
    The most autonomous agent framework, built on Node.js. Give it a direction — it'll use 197 skills (deep research, PR reviews, market monitoring, Vercel deploys…) to get it done. No approval loops. No babysitting. Configure once, forget forever.
  • highreadme#2
    Add a 'Comparison' section to the README.

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled '## Comparison to other AI Agent Frameworks' or '## Why Aeon? (vs. LangChain, AutoGPT, CrewAI)'. In this section, explicitly compare Aeon's 'no approval loops, no babysitting, configure once, forget forever' philosophy and its focus on deep research, PR reviews, market monitoring, and Vercel deploys against the features and interaction models of frameworks like LangChain, AutoGPT, and CrewAI.
  • mediumtopics#3
    Refine repository topics for better categorization.

    Why:

    CURRENT
    aeon, agent-framework, ai-agents, claude-code, github-actions
    COPY-PASTE FIX
    aeon, agent-framework, ai-agents, autonomous-agents, devops-automation-ai, claude-code

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface aaronjmars/aeon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jenkinsci/jenkins
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jenkinsci/jenkins · recommended 1×
  2. GitHub Actions · recommended 1×
  3. GitLab CI/CD · recommended 1×
  4. ansible/ansible · recommended 1×
  5. hashicorp/terraform · recommended 1×
  • CATEGORY QUERY
    How can I automate complex development tasks without constant human intervention?
    you: not recommended
    AI recommended (in order):
    1. Jenkins (jenkinsci/jenkins)
    2. GitHub Actions
    3. GitLab CI/CD
    4. Ansible (ansible/ansible)
    5. Terraform (hashicorp/terraform)
    6. Apache Airflow (apache/airflow)
    7. Tekton Pipelines (tektoncd/pipelines)

    AI recommended 7 alternatives but never named aaronjmars/aeon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI agent frameworks for automating research and code deployment workflows?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. CrewAI
    4. Open Interpreter
    5. Haystack
    6. LlamaIndex

    AI recommended 6 alternatives but never named aaronjmars/aeon. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of aaronjmars/aeon?
    pass
    AI named aaronjmars/aeon explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts aaronjmars/aeon in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aaronjmars/aeon explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo aaronjmars/aeon solve, and who is the primary audience?
    pass
    AI named aaronjmars/aeon explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of aaronjmars/aeon. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/aaronjmars/aeon.svg)](https://repogeo.com/en/r/aaronjmars/aeon)
HTML
<a href="https://repogeo.com/en/r/aaronjmars/aeon"><img src="https://repogeo.com/badge/aaronjmars/aeon.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

aaronjmars/aeon — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite