RRepoGEO

REPOGEO REPORT · LITE

mshumer/gpt-pro-mode

Default branch main · commit f901df46 · scanned 6/3/2026, 10:57:40 PM

GitHub: 687 stars · 84 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 mshumer/gpt-pro-mode, 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
    Add an introductory paragraph to the README to clarify the repo's purpose

    Why:

    CURRENT
    # gpt-pro-mode

[](https://x.com/mattshumer_)

gpt-oss-pro-mode: [](https://colab.research.google.com/drive/1XeYmOHJwACtavCjJM-eOqlPxHgTD2KNP?usp=sharing)
    COPY-PASTE FIX
    # gpt-pro-mode

This repository provides an API endpoint and Colab notebooks for advanced, programmatic LLM generation and synthesis. It enables techniques like multi-pass generation and "tournament mode" to achieve more reliable and nuanced responses from large language models, going beyond standard single-pass prompting.

[](https://x.com/mattshumer_)

gpt-oss-pro-mode: [](https://colab.research.google.com/drive/1XeYmOHJwACtavCjJM-eOqlPxHgTD2KNP?usp=sharing)
  • highabout#2
    Add a concise description to the repository's About section

    Why:

    COPY-PASTE FIX
    An API and Colab notebooks for advanced LLM generation and synthesis, enabling techniques like multi-pass and tournament mode for more reliable and nuanced responses.
  • mediumtopics#3
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, large-language-models, prompt-engineering, multi-generation, llm-api, synthesis, ai-tools, python

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 mshumer/gpt-pro-mode
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. Guidance · recommended 2×
  4. OpenAI API · recommended 1×
  5. Instructor · recommended 1×
  • CATEGORY QUERY
    How to get more reliable and nuanced responses from large language models programmatically?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Guidance
    5. Instructor
    6. Guardrails AI

    AI recommended 6 alternatives but never named mshumer/gpt-pro-mode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks facilitate generating multiple LLM outputs and synthesizing them for best results?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Marvin
    5. Guidance
    6. LiteLLM

    AI recommended 6 alternatives but never named mshumer/gpt-pro-mode. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 mshumer/gpt-pro-mode?
    pass
    AI did not name mshumer/gpt-pro-mode — 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 mshumer/gpt-pro-mode in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mshumer/gpt-pro-mode 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 mshumer/gpt-pro-mode solve, and who is the primary audience?
    pass
    AI named mshumer/gpt-pro-mode 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 mshumer/gpt-pro-mode. 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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HTML
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mshumer/gpt-pro-mode — 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