RRepoGEO

REPOGEO REPORT · LITE

dp-archive/archive

Default branch main · commit f8bf8cab · scanned 5/18/2026, 12:07:11 PM

GitHub: 1,104 stars · 99 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 2 warn · 0 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 dp-archive/archive, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["ai-agents", "agent-builder", "llm-agents", "skill-based-agents", "open-source", "runtime-platform", "programmatic-ai"]
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Add a URL to the project's official website or documentation, e.g., `https://skillcompose.dev` (if one exists, otherwise create one).

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 dp-archive/archive
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. joaomdmoura/crewai · recommended 1×
  5. microsoft/autogen · recommended 1×
  • CATEGORY QUERY
    How to build AI agents without complex workflow graphs or visual programming?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. CrewAI (joaomdmoura/crewai)
    5. AutoGen (microsoft/autogen)
    6. Guidance (microsoft/guidance)
    7. Transformers Agents (huggingface/transformers)

    AI recommended 7 alternatives but never named dp-archive/archive. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source platform to develop skill-based AI agents programmatically, without a CLI.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Function Calling
    5. AutoGPT
    6. BabyAGI

    AI recommended 6 alternatives but never named dp-archive/archive. 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
    warn

    Suggestion:

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 dp-archive/archive?
    pass
    AI did not name dp-archive/archive — 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 dp-archive/archive in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dp-archive/archive 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 dp-archive/archive solve, and who is the primary audience?
    pass
    AI named dp-archive/archive explicitly

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

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dp-archive/archive — 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