RRepoGEO

REPOGEO REPORT · LITE

preset-io/agor

Default branch main · commit d8d3f24d · scanned 5/29/2026, 8:32:22 AM

GitHub: 1,229 stars · 102 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 preset-io/agor, 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
    Reposition README opening to explicitly state core purpose and avoid miscategorization

    Why:

    CURRENT
    Agor **Team command center for all things agentic.** Agor is a shared canvas where coding agents (Claude Code, Codex, Gemini) and long-lived assistants run side-by-side on isolated git branches — the anchor entity where sessions, dev environments, prompts, and PRs converge.
    COPY-PASTE FIX
    Agor is a **multiplayer command center for AI agent development and orchestration**, enabling teams to collaboratively manage coding agents (Claude Code, Codex, Gemini) and long-lived assistants on a shared canvas. It anchors sessions, dev environments, prompts, and PRs to isolated git branches, providing a real-time workspace for agentic work.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, llm-ops, multiplayer, collaboration, git-worktrees, code-generation, agentic-ai, developer-tools, orchestration, ai-development, team-workspace
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
Agor is licensed under a custom license. Please refer to the [LICENSE file](LICENSE) for specific terms and conditions.

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 preset-io/agor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) · recommended 1×
  2. databricks/mlflow · recommended 1×
  3. Comet ML · recommended 1×
  4. tensorflow/tensorboard · recommended 1×
  5. iterative/dvc · recommended 1×
  • CATEGORY QUERY
    How can my team collaboratively manage and visualize AI agent coding sessions across multiple models?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow (databricks/mlflow)
    3. Comet ML
    4. TensorBoard (tensorflow/tensorboard)
    5. DVC (Data Version Control) (iterative/dvc)
    6. Git (git/git)
    7. Streamlit (streamlit/streamlit)
    8. Dash (plotly/dash)
    9. Jupyter notebooks (jupyter/notebook)
    10. Neptune.ai
    11. ClearML (allegroai/clearml)

    AI recommended 11 alternatives but never named preset-io/agor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help orchestrate multiple AI coding assistants and manage their work on shared git branches?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. GitHub Copilot Enterprise
    3. Continue.dev (continue-dev/continue)
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. GitLab Duo
    7. GitHub Actions
    8. GitLab CI/CD
    9. Jenkins (jenkinsci/jenkins)
    10. Danger (danger/danger)
    11. CodiumAI
    12. Smol-developer (smol-ai/smol-developer)

    AI recommended 12 alternatives but never named preset-io/agor. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 preset-io/agor?
    pass
    AI named preset-io/agor explicitly

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

  • If a team adopts preset-io/agor in production, what risks or prerequisites should they evaluate first?
    pass
    AI named preset-io/agor 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 preset-io/agor solve, and who is the primary audience?
    pass
    AI named preset-io/agor explicitly

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

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preset-io/agor — 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