RRepoGEO

REPOGEO REPORT · LITE

automazeio/ccpm

Default branch main · commit 7d7e4623 · scanned 6/30/2026, 1:28:30 AM

GitHub: 8,233 stars · 832 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 automazeio/ccpm, 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.

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 automazeio/ccpm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Jira
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Jira · recommended 1×
  2. Azure DevOps · recommended 1×
  3. Linear.app · recommended 1×
  4. ClickUp · recommended 1×
  5. Trello · recommended 1×
  • CATEGORY QUERY
    How can I manage AI agent development projects with structured planning and traceability?
    you: not recommended
    AI recommended (in order):
    1. Jira
    2. Azure DevOps
    3. Linear.app
    4. ClickUp
    5. Trello

    AI recommended 5 alternatives but never named automazeio/ccpm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable parallel AI agent execution using GitHub issues for task management?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. concurrent.futures
    3. asyncio
    4. PyGithub (PyGithub/PyGithub)
    5. gh-cli (cli/cli)
    6. Dask (dask/dask)
    7. Ray (ray-project/ray)
    8. Prefect (PrefectHQ/prefect)
    9. Apache Airflow (apache/airflow)
    10. Temporal (temporalio/temporal)
    11. LangChain (langchain-ai/langchain)
    12. Celery (celery/celery)

    AI recommended 12 alternatives but never named automazeio/ccpm. 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 automazeio/ccpm?
    pass
    AI named automazeio/ccpm explicitly

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

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