RRepoGEO

REPOGEO REPORT · LITE

allenai/unified-io-2

Default branch main · commit 502ac4d8 · scanned 5/31/2026, 10:03:50 AM

GitHub: 648 stars · 35 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 allenai/unified-io-2, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Unified-IO 2: A general-purpose multimodal AI model for diverse tasks across vision, language, and audio, built on JAX and PyTorch.
  • highreadme#2
    Reposition the README's H1 and opening sentence

    Why:

    CURRENT
    # Unified-IO 2
This repo contains code for Unified-IO 2, including code to run a demo, do training, and do inference. This codebase is modified from T5X.
    COPY-PASTE FIX
    # Unified-IO 2: A Unified Multimodal AI Model for Vision, Language, and Audio
This repository provides the official code for Unified-IO 2, a general-purpose AI model designed to process and generate across diverse modalities including vision, language, and audio. It enables running demos, training, and inference for a wide range of multimodal tasks.

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/unified-io-2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Lightning-AI/lightning · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. openai/CLIP · recommended 1×
  5. DeepMind Perceiver IO · recommended 1×
  • CATEGORY QUERY
    How to build a single AI model that processes multiple input types like audio and text?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. TensorFlow/Keras (tensorflow/tensorflow)
    4. OpenAI CLIP (openai/CLIP)
    5. DeepMind Perceiver IO
    6. Google MediaPipe (google/mediapipe)

    AI recommended 6 alternatives but never named allenai/unified-io-2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are reliable frameworks for training and deploying large multimodal AI models using JAX or PyTorch?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. Flax
    4. Haiku
    5. Keras
    6. JAX
    7. PyTorch

    AI recommended 7 alternatives but never named allenai/unified-io-2. 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 allenai/unified-io-2?
    pass
    AI did not name allenai/unified-io-2 — 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 allenai/unified-io-2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named allenai/unified-io-2 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/unified-io-2 solve, and who is the primary audience?
    pass
    AI named allenai/unified-io-2 explicitly

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

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allenai/unified-io-2 — 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