RRepoGEO

REPOGEO REPORT · LITE

potpie-ai/potpie

Default branch main · commit 57da75c7 · scanned 5/13/2026, 8:27:10 PM

GitHub: 5,373 stars · 618 forks

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 potpie-ai/potpie, 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 the README's opening to clearly state its unique category

    Why:

    CURRENT
    Potpie turns your entire codebase into a **knowledge graph**...
    COPY-PASTE FIX
    Potpie empowers **AI agents for spec-driven development** by transforming your entire codebase into a **knowledge graph**, enabling precise AI reasoning for debugging and feature development.
  • mediumtopics#2
    Add more specific topics related to AI for code and software development

    Why:

    CURRENT
    agents, ai-agents, ai-agents-framework, artificial-intelligence, developer-tools, devtools, generative-ai, knowledge-graph, rag
    COPY-PASTE FIX
    agents, ai-agents, ai-agents-framework, artificial-intelligence, developer-tools, devtools, generative-ai, knowledge-graph, rag, code-intelligence, ai-for-software-development, codebase-analysis, software-engineering-ai
  • mediumreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison

Potpie differentiates itself from general AI agent frameworks like LangChain by focusing specifically on **spec-driven development for large codebases**. Unlike general code assistants such as GitHub Copilot or Cursor, Potpie provides a structured **knowledge graph** of your entire codebase, enabling AI agents to reason with the precision of a human developer, rather than just suggesting code snippets.

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 potpie-ai/potpie
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat · recommended 1×
  2. Cursor · recommended 1×
  3. Codeium · recommended 1×
  4. Sourcegraph Cody · recommended 1×
  5. OpenAI GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can AI agents help me understand and develop features in a large codebase?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. Sourcegraph Cody
    5. OpenAI GPT-4
    6. ChatGPT Enterprise
    7. Tabnine
    8. Ponicode

    AI recommended 8 alternatives but never named potpie-ai/potpie. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for building a knowledge graph of a large codebase to empower AI development?
    you: not recommended
    AI recommended (in order):
    1. Neo4j
    2. TypeDB
    3. ArangoDB
    4. RDFox
    5. Amazon Neptune
    6. TigerGraph
    7. Soufflé
    8. Datafrog

    AI recommended 8 alternatives but never named potpie-ai/potpie. 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 potpie-ai/potpie?
    pass
    AI named potpie-ai/potpie explicitly

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

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