RRepoGEO

REPOGEO REPORT · LITE

taco-group/4KAgent

Default branch main · commit 04179ffe · scanned 6/15/2026, 10:51:58 PM

GitHub: 806 stars · 45 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 taco-group/4KAgent, 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 a direct statement of purpose to the README's opening

    Why:

    COPY-PASTE FIX
    This repository presents 4KAgent, an intelligent computer vision system designed to automatically enhance and restore any low-resolution image to stunning 4K quality using an agentic approach.
  • mediumabout#2
    Refine the repository's 'About' description

    Why:

    CURRENT
    [NeurIPS 2025] 4KAgent: Agentic Any Image to 4K Super-Resolution. An intelligent computer vision agent that can magically restore any image to perfect-4K!
    COPY-PASTE FIX
    [NeurIPS 2025] 4KAgent: An intelligent computer vision agent for image super-resolution, designed to automatically restore any image to perfect 4K quality.
  • lowtopics#3
    Remove overly broad LLM-related topics

    Why:

    CURRENT
    agent, agentic-ai, computer-vision, image-enhancement, image-processing, image-restoration, large-language-models, llm, low-level, mllm, neurips, neurips-2025, super-resolution, vision-language-models, workflow
    COPY-PASTE FIX
    agent, agentic-ai, computer-vision, image-enhancement, image-processing, image-restoration, low-level, neurips, neurips-2025, super-resolution, vision-language-models, workflow

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 taco-group/4KAgent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Photoshop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Photoshop · recommended 2×
  2. Topaz Photo AI · recommended 1×
  3. Upscayl · recommended 1×
  4. Gigapixel AI · recommended 1×
  5. Magnific AI · recommended 1×
  • CATEGORY QUERY
    How can I enhance low-resolution images to 4K quality using AI?
    you: not recommended
    AI recommended (in order):
    1. Topaz Photo AI
    2. Upscayl
    3. Gigapixel AI
    4. Magnific AI
    5. Real-ESRGAN
    6. Adobe Photoshop
    7. HitPaw Photo Enhancer

    AI recommended 7 alternatives but never named taco-group/4KAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What intelligent agents can automatically improve and restore various image qualities?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Topaz Labs Photo AI
    3. Luminar Neo
    4. DxO PhotoLab
    5. ON1 Photo RAW
    6. GFPGAN (TencentARC/GFPGAN)
    7. CodeFormer (sczhou/CodeFormer)
    8. Waifu2x (nagadomi/waifu2x)

    AI recommended 8 alternatives but never named taco-group/4KAgent. 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 taco-group/4KAgent?
    pass
    AI named taco-group/4KAgent explicitly

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

  • If a team adopts taco-group/4KAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named taco-group/4KAgent 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 taco-group/4KAgent solve, and who is the primary audience?
    pass
    AI named taco-group/4KAgent 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 taco-group/4KAgent. 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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taco-group/4KAgent — 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