RRepoGEO

REPOGEO REPORT · LITE

Leonxlnx/agentic-ai-prompt-research

Default branch main · commit 538de1dc · scanned 6/28/2026, 6:48:08 AM

GitHub: 2,469 stars · 1,067 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
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 Leonxlnx/agentic-ai-prompt-research, 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
    Reposition README H1 to clarify research focus

    Why:

    CURRENT
    # Claude Code System Prompts
    COPY-PASTE FIX
    # Deconstructing Agentic AI Coding Assistants: Prompt Patterns & Research
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intent for reuse.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add a homepage URL in the repository settings, linking to a project website, blog post, or a more detailed overview if available.

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 Leonxlnx/agentic-ai-prompt-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 2×
  2. langchain-ai/langchain · recommended 1×
  3. microsoft/autogen · recommended 1×
  4. joaomdmoura/crewAI · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How do I design a multi-agent AI system for code generation and analysis?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. AutoGen (microsoft/autogen)
    3. CrewAI (joaomdmoura/crewAI)
    4. OpenAI GPT-4
    5. GPT-3.5 Turbo
    6. Google Gemini
    7. Anthropic Claude
    8. Tree-sitter (tree-sitter/tree-sitter)
    9. ast module in Python
    10. ts-morph for TypeScript (dsherret/ts-morph)
    11. Code Llama (facebookresearch/codellama)
    12. StarCoder2 (bigcode-project/starcoder2)
    13. ESLint for JavaScript (eslint/eslint)
    14. Pylint for Python (pylint-dev/pylint)
    15. SonarQube (SonarSource/sonarqube)
    16. Jest for JavaScript (jestjs/jest)
    17. Pytest for Python (pytest-dev/pytest)
    18. JUnit for Java (junit-team/junit5)
    19. Docker (docker/docker-ce)
    20. Git (git/git)
    21. GitHub API
    22. GitLab API

    AI recommended 22 alternatives but never named Leonxlnx/agentic-ai-prompt-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective prompt engineering strategies for building secure agentic AI coding tools?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3 Opus
    3. Google Gemini 1.5 Pro
    4. Cohere Command R+
    5. Llama 3
    6. LangChain
    7. LlamaIndex

    AI recommended 7 alternatives but never named Leonxlnx/agentic-ai-prompt-research. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 Leonxlnx/agentic-ai-prompt-research?
    pass
    AI did not name Leonxlnx/agentic-ai-prompt-research — 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 Leonxlnx/agentic-ai-prompt-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Leonxlnx/agentic-ai-prompt-research 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 Leonxlnx/agentic-ai-prompt-research solve, and who is the primary audience?
    pass
    AI did not name Leonxlnx/agentic-ai-prompt-research — 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?

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Leonxlnx/agentic-ai-prompt-research — 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