RRepoGEO

REPOGEO REPORT · LITE

allenai/visprog

Default branch main · commit 9626868c · scanned 6/8/2026, 9:28:23 AM

GitHub: 773 stars · 67 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 allenai/visprog, 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 to prioritize VisProg and clarify its core domain

    Why:

    CURRENT
    🔥 Checkout our new work CodeNav which addresses many limitations of VisProg and generalizes it further: 🔥 <br>
    
    ✅ ~~Write tool descriptions~~ Point to the codebase which you want the CodeNav agent to use - that's right, the raw source code! - CodeNav will index and search the source code directly <br>
    ✅ ~~Generate the whole program at once~~ CodeNav iteratively generates code (which imports and invokes functions and classes from your codebase), executes it, and then decides the next step based on the execution output. The next step could be searching in the codebase or writing more code <br>
    ✅ ~~Generate one function call per line~~ CodeNav generates free-form code - think of it similar to writing a code cell in an ipython notebook. While executing the current code block, CodeNav has access to global variables created while executing previous code blocks <br>
    ✅ ~~Give up if there's an execution error~~ CodeNav will look at execution results including errors, new variables created, and STDOUT, and will try to fix errors in the next step <br>
    ✅ ~~Implement tools as simple function calls~~ CodeNav gives you, as the developer of tools, flexibility to build a full-fledged codebase as you see fit - use abstractions, use object-oriented programming - just generally follow good software development practices (meaningful class/function/variable names, docstrics, specifying argument types in your code help)
    
    # Visual Programming: Compositional visual reasoning without training (CVPR
    COPY-PASTE FIX
    This is the official code for **VisProg: Compositional visual reasoning without training** (CVPR 2023 Best Paper!). VisProg enables AI models to perform complex, multi-step visual reasoning by programmatically decomposing tasks into executable steps using interpretable vision primitives. [Place the CodeNav promotion *after* this clear introduction to VisProg.]
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ['computer-vision', 'visual-reasoning', 'program-synthesis', 'cvpr-2023', 'deep-learning', 'machine-learning', 'interpretability', 'ai-agents']
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [URL to the project's official page, e.g., the paper's project page or AllenAI's dedicated page for VisProg]

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 allenai/visprog
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. OpenAI GPT-4 · recommended 1×
  3. Assistants API · recommended 1×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that generates and executes code against an existing codebase?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Assistants API
    3. LangChain
    4. LlamaIndex
    5. AutoGPT
    6. BabyAGI
    7. GitHub Copilot
    8. Jupyter
    9. IPython

    AI recommended 9 alternatives but never named allenai/visprog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI agents iteratively generate and debug code based on execution feedback?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. OpenAI Gym
    3. OpenAI Baselines
    4. SWE-bench
    5. MetaGPT
    6. AutoGPT
    7. Pydantic
    8. Jupyter Notebooks
    9. ipython-sql
    10. Google Colab

    AI recommended 10 alternatives but never named allenai/visprog. 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 allenai/visprog?
    pass
    AI named allenai/visprog explicitly

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

  • If a team adopts allenai/visprog in production, what risks or prerequisites should they evaluate first?
    pass
    AI named allenai/visprog 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 allenai/visprog solve, and who is the primary audience?
    pass
    AI named allenai/visprog explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite