RRepoGEO

REPOGEO REPORT · LITE

pippinlovesyou/pippin

Default branch main · commit 9d82c989 · scanned 6/6/2026, 10:13:07 AM

GitHub: 546 stars · 183 forks

AI VISIBILITY SCORE
35 /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
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 pippinlovesyou/pippin, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, autonomous-agents, llm-framework, digital-beings, agent-framework, composio-integration
  • highreadme#2
    Make the very first sentence of the README a more direct statement of Pippin's core purpose

    Why:

    CURRENT
    Welcome to Pippin — a flexible, open-source framework to create a digital “being” that:
    COPY-PASTE FIX
    Pippin is a flexible, open-source framework for building **autonomous AI agents** (digital beings) that:
  • mediumreadme#3
    Add a dedicated section to the README comparing Pippin to common alternatives

    Why:

    COPY-PASTE FIX
    Add a new section, perhaps titled 'Pippin vs. Other Agent Frameworks' or 'Why Pippin?', clearly outlining its unique approach (e.g., focus on 'digital beings,' dynamic activity creation, Composio integration, web/CLI UI) compared to tools like LangChain, LlamaIndex, or AutoGPT. Start with: 'Pippin stands out from other AI agent frameworks like LangChain, LlamaIndex, and AutoGPT by focusing on...'

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 pippinlovesyou/pippin
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGPT · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    Looking for a framework to build autonomous AI agents that learn and use tools.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Microsoft AutoGen
    6. Haystack

    AI recommended 6 alternatives but never named pippinlovesyou/pippin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source platforms for creating intelligent agents with dynamic tasking and memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. AgentVerse
    6. AutoGen
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named pippinlovesyou/pippin. 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 pippinlovesyou/pippin?
    pass
    AI named pippinlovesyou/pippin explicitly

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

  • If a team adopts pippinlovesyou/pippin in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pippinlovesyou/pippin 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 pippinlovesyou/pippin solve, and who is the primary audience?
    pass
    AI named pippinlovesyou/pippin 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 pippinlovesyou/pippin. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/pippinlovesyou/pippin.svg)](https://repogeo.com/en/r/pippinlovesyou/pippin)
HTML
<a href="https://repogeo.com/en/r/pippinlovesyou/pippin"><img src="https://repogeo.com/badge/pippinlovesyou/pippin.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

pippinlovesyou/pippin — 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