RRepoGEO

REPOGEO REPORT · LITE

ghostwright/phantom

Default branch main · commit f8c7ab42 · scanned 6/20/2026, 5:37:03 AM

GitHub: 1,433 stars · 190 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 ghostwright/phantom, 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
  • highabout#1
    Refine repository description to emphasize "complete system"

    Why:

    CURRENT
    An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collection, email identity. Built on the Claude Agent SDK.
    COPY-PASTE FIX
    A complete, deployable AI co-worker system with its own computer. Features self-evolution, persistent memory, MCP server, secure credential collection, and email identity. Built on the Claude Agent SDK.
  • highreadme#2
    Add explicit "what it is not" statement early in README

    Why:

    COPY-PASTE FIX
    Immediately after the H1 tagline "An AI co-worker with its own computer.", add: "Unlike a simple chatbot, content generator, or a library for browser automation, Phantom is a full-fledged, self-evolving AI co-worker system with its own dedicated environment."
  • mediumcomparison#3
    Add a "Why Phantom?" section comparing it to frameworks and generic tools

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "### Why Phantom? (Not just another framework or chatbot)" that explains how Phantom differs from:
    *   **AI Frameworks (e.g., LangChain):** Phantom is a complete, deployable system, not just a library for building agents. It provides the entire environment and operational logic.
    *   **Generic AI Chatbots (e.g., ChatGPT):** Phantom is a persistent, self-evolving co-worker with its own computer and tools, not a disposable chat session.
    *   **Automation Tools (e.g., Zapier, Make):** Phantom autonomously builds and manages its own tools and infrastructure, rather than relying on pre-configured integrations.

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 ghostwright/phantom
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Lambda
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Lambda · recommended 2×
  2. LangChain · recommended 1×
  3. Pinecone · recommended 1×
  4. Chroma · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How to deploy an AI agent with persistent memory that learns and evolves over time?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Chroma
    4. Weaviate
    5. AWS
    6. GCP
    7. Azure
    8. OpenAI GPT-4
    9. Anthropic Claude
    10. FastAPI
    11. Flask
    12. AWS Lambda
    13. AWS ECS
    14. AWS EC2
    15. Google Cloud Run
    16. Google App Engine
    17. Google Compute Engine
    18. Azure Container Apps
    19. Azure App Service
    20. Azure VMs
    21. LlamaIndex
    22. OpenAI Assistants API
    23. PostgreSQL
    24. pgvector
    25. Azure Functions
    26. Microsoft Semantic Kernel
    27. Azure AI Search
    28. Qdrant
    29. Milvus
    30. OpenAI Embeddings
    31. Sentence Transformers
    32. AWS EKS
    33. Google GKE
    34. Azure AKS
    35. Neo4j
    36. Grakn
    37. Datadog
    38. Grafana
    39. Prometheus

    AI recommended 39 alternatives but never named ghostwright/phantom. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI coworker that integrates with Slack and has its own email identity.
    you: not recommended
    AI recommended (in order):
    1. Zapier
    2. OpenAI/ChatGPT
    3. Gmail
    4. Outlook
    5. Make
    6. Microsoft Power Automate
    7. Azure OpenAI Service
    8. Google Apps Script
    9. Slack's Workflow Builder
    10. AWS Lambda
    11. Google Cloud Functions

    AI recommended 11 alternatives but never named ghostwright/phantom. 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 ghostwright/phantom?
    pass
    AI named ghostwright/phantom explicitly

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

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

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

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ghostwright/phantom — 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