RRepoGEO

REPOGEO REPORT · LITE

asheshgoplani/agent-deck

Default branch main · commit e312ffa1 · scanned 5/11/2026, 12:42:40 AM

GitHub: 2,371 stars · 274 forks

AI VISIBILITY SCORE
33 /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
2 / 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 asheshgoplani/agent-deck, 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
    Add a concise problem/solution statement to the top of the README

    Why:

    COPY-PASTE FIX
    Add the following text directly after the 'Your AI agent command center' line:
    
    Agent Deck is a powerful terminal session manager designed for AI coding agents. It provides a unified TUI for interacting with Claude, Gemini, OpenCode, Codex, and other AI models, streamlining your development workflow.
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README:
    
    ## Comparison to Alternatives
    
    Unlike general-purpose AI coding assistants like Cursor or Continue.dev, Agent Deck focuses specifically on providing a unified terminal interface for *managing* and *orchestrating* multiple AI agents (Claude, Gemini, OpenCode, etc.) rather than being a single AI assistant itself. It acts as your command center for these tools, offering a stateful and event-driven framework for multi-agent systems.
  • lowabout#3
    Slightly refine the 'About' description for stronger keyword alignment

    Why:

    CURRENT
    Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.
    COPY-PASTE FIX
    Unified terminal session manager and orchestration platform for AI coding agents. Provides a single TUI for Claude, Gemini, OpenCode, Codex, and other AI models.

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 asheshgoplani/agent-deck
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. continue-dev/continue · recommended 1×
  3. KillianLucas/open-interpreter · recommended 1×
  4. smol-ai/developer · recommended 1×
  5. TheR1D/shell_gpt · recommended 1×
  • CATEGORY QUERY
    How can I efficiently manage multiple AI coding assistants from a single terminal interface?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev (continue-dev/continue)
    3. Open Interpreter (KillianLucas/open-interpreter)
    4. smol-ai/developer (smol-ai/developer)
    5. ShellGPT (SGPT) (TheR1D/shell_gpt)
    6. OpenAI APIs
    7. Anthropic APIs
    8. tmux (tmux/tmux)
    9. zellij (zellij-org/zellij)
    10. Neovim (neovim/neovim)

    AI recommended 10 alternatives but never named asheshgoplani/agent-deck. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best terminal user interfaces for interacting with various AI coding models?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Ollama
    3. OpenAI CLI
    4. Anthropic CLI
    5. LM Studio
    6. aicommits
    7. shell_gpt

    AI recommended 7 alternatives but never named asheshgoplani/agent-deck. 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 asheshgoplani/agent-deck?
    pass
    AI named asheshgoplani/agent-deck explicitly

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

  • If a team adopts asheshgoplani/agent-deck in production, what risks or prerequisites should they evaluate first?
    pass
    AI named asheshgoplani/agent-deck 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 asheshgoplani/agent-deck solve, and who is the primary audience?
    pass
    AI did not name asheshgoplani/agent-deck — likely talking about a different project

    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 asheshgoplani/agent-deck. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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asheshgoplani/agent-deck — 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