RRepoGEO

REPOGEO REPORT · LITE

strukto-ai/mirage

Default branch main · commit c5aa6de5 · scanned 5/21/2026, 6:27:00 AM

GitHub: 2,514 stars · 169 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 strukto-ai/mirage, 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 the 'About' description for clarity

    Why:

    CURRENT
    A Unified Virtual Filesystem For AI Agents
    COPY-PASTE FIX
    Enables AI agents to interact with diverse cloud services and data sources through a unified, Unix-like virtual filesystem.
  • mediumtopics#2
    Add specific topics for cloud service integration and data access

    Why:

    CURRENT
    agent-sandbox, agent-tools, ai-agents, bash, claude-code, fuse, langchain, llm-agents, openai-agents, python, typescript, vfs, virtual-filesystem
    COPY-PASTE FIX
    agent-sandbox, agent-tools, ai-agents, bash, claude-code, fuse, langchain, llm-agents, openai-agents, python, typescript, vfs, virtual-filesystem, cloud-integration, data-access, llm-tooling, agent-data-access, service-abstraction
  • mediumreadme#3
    Add a concise differentiator statement to the README introduction

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the first paragraph in the README: 'Unlike generic storage FUSE mounts or complex LLM frameworks, Mirage provides a unified, agent-centric view of your entire digital workspace.'

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 strukto-ai/mirage
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
S3FS-FUSE / GCS FUSE / Azure Blob Fuse
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. S3FS-FUSE / GCS FUSE / Azure Blob Fuse · recommended 1×
  2. Rclone · recommended 1×
  3. AWS Storage Gateway File Gateway / Azure File Sync / Google Cloud Filestore · recommended 1×
  4. MinIO · recommended 1×
  5. Rook.io (with CephFS) · recommended 1×
  • CATEGORY QUERY
    How to enable AI agents to interact with various cloud services using a unified filesystem?
    you: not recommended
    AI recommended (in order):
    1. S3FS-FUSE / GCS FUSE / Azure Blob Fuse
    2. Rclone
    3. AWS Storage Gateway File Gateway / Azure File Sync / Google Cloud Filestore
    4. MinIO
    5. Rook.io (with CephFS)

    AI recommended 5 alternatives but never named strukto-ai/mirage. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow LLM agents to access diverse data sources through a single virtual environment?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Functions
    5. DSPy
    6. MindsDB

    AI recommended 6 alternatives but never named strukto-ai/mirage. 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 strukto-ai/mirage?
    pass
    AI named strukto-ai/mirage explicitly

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

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

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

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strukto-ai/mirage — 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