RRepoGEO

REPOGEO REPORT · LITE

nicobailon/pi-messenger

Default branch main · commit f836c400 · scanned 6/2/2026, 12:12:01 AM

GitHub: 596 stars · 42 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 nicobailon/pi-messenger, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify "AI agent" focus

    Why:

    CURRENT
    Pi Messenger
**What if multiple agents in different terminals sharing a folder could talk to each other like they're in a chat room?** Join, see who's online and what they're doing. Claim tasks, reserve files, send messages. An extension for Pi coding agent — install it and go. No daemon, no server, just files.
    COPY-PASTE FIX
    Pi Messenger: Multi-Agent AI Coordination via Shared Files
**What if multiple AI agents, sharing a common file system, could communicate and coordinate tasks like they're in a chat room?** Pi Messenger is an extension for the Pi coding agent that enables AI agents to join, see who's online, claim tasks, reserve files, and send messages. No daemon, no server, just files.
  • mediumlicense#2
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 nicobailon/pi-messenger
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
json
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. json · recommended 2×
  2. Redis · recommended 2×
  3. yaml · recommended 1×
  4. SQLite · recommended 1×
  5. sqlite3 · recommended 1×
  • CATEGORY QUERY
    How can multiple AI agents communicate and coordinate tasks using a shared file system?
    you: not recommended
    AI recommended (in order):
    1. json
    2. yaml
    3. SQLite
    4. sqlite3
    5. DB Browser for SQLite
    6. Redis
    7. redis-py
    8. StackExchange.Redis
    9. Apache Kafka
    10. confluent-kafka-python
    11. librdkafka
    12. Celery
    13. Redis
    14. Flower
    15. pickle
    16. json
    17. Apache ZooKeeper
    18. kazoo

    AI recommended 18 alternatives but never named nicobailon/pi-messenger. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a way for local AI agents to collaborate and manage shared tasks like a chat.
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. Haystack
    6. Open Interpreter

    AI recommended 6 alternatives but never named nicobailon/pi-messenger. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 nicobailon/pi-messenger?
    pass
    AI did not name nicobailon/pi-messenger — 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?

  • If a team adopts nicobailon/pi-messenger in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nicobailon/pi-messenger 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 nicobailon/pi-messenger solve, and who is the primary audience?
    pass
    AI named nicobailon/pi-messenger 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 nicobailon/pi-messenger. 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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MARKDOWN (README)
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HTML
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nicobailon/pi-messenger — 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