RRepoGEO

REPOGEO REPORT · LITE

Leonxlnx/agentic-ai-prompt-research

Default branch main · commit 538de1dc · scanned 5/17/2026, 5:23:10 AM

GitHub: 2,402 stars · 1,064 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 and clarify opening sentence

    Why:

    CURRENT
    # Claude Code System Prompts

A research project exploring how modern agentic AI coding assistants work under the hood.
    COPY-PASTE FIX
    # Research & Analysis: Claude Code System Prompts and Agentic AI Architectures

This repository presents a research project exploring the reconstructed prompt architecture, agent coordination patterns, and security mechanisms that power modern agentic AI coding assistants like Claude Code.
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.
  • mediumhomepage#3
    Add a homepage URL to the repository About section

    Why:

    COPY-PASTE FIX
    Add a URL to a relevant project page, blog post, or the repository's GitHub Pages (e.g., `https://leonxlnx.github.io/agentic-ai-prompt-research/`) in the repository settings.

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
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. Jinja2 · recommended 1×
  • CATEGORY QUERY
    How do advanced AI coding assistants coordinate multiple agents and engineer their prompts?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. Jinja2
    6. Docker

    AI recommended 6 alternatives but never named Leonxlnx/agentic-ai-prompt-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the architectural patterns for dynamic system prompts in sophisticated AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. CrewAI (joaomdmoura/crewai)
    6. Pydantic (pydantic/pydantic)
    7. dataclasses
    8. Jinja2 (pallets/jinja)
    9. f-strings

    AI recommended 9 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