RRepoGEO

REPOGEO REPORT · LITE

black-forest-labs/flux2

Default branch main · commit 50fe5162 · scanned 5/30/2026, 3:37:36 AM

GitHub: 2,347 stars · 166 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 black-forest-labs/flux2, 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
    Clarify project identity in README to avoid GitOps confusion

    Why:

    COPY-PASTE FIX
    Add this line prominently in the README: "⚠️ **Note:** This repository is for FLUX.2 visual intelligence models and is not related to the Flux CD GitOps project (`fluxcd/flux2`)."
  • hightopics#2
    Add relevant topics for image generation and AI models

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    image-generation, text-to-image, image-editing, generative-ai, diffusion-models, computer-vision, black-forest-labs
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://bfl.ai

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 black-forest-labs/flux2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 2×
  2. Stable Diffusion XL (SDXL) · recommended 1×
  3. Stable Diffusion 1.5/2.1 · recommended 1×
  4. DeepFloyd IF · recommended 1×
  5. Kandinsky 2.2 · recommended 1×
  • CATEGORY QUERY
    What open-source models provide state-of-the-art text-to-image generation and advanced image editing?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. Stable Diffusion 1.5/2.1
    3. ControlNet
    4. DeepFloyd IF
    5. Kandinsky 2.2
    6. InvokeAI
    7. Automatic1111's Stable Diffusion web UI

    AI recommended 7 alternatives but never named black-forest-labs/flux2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking fast inference models for visual content creation, optimized for consumer GPU performance.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. InstantID
    4. OpenPose
    5. StyleGAN3
    6. Real-ESRGAN

    AI recommended 6 alternatives but never named black-forest-labs/flux2. 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 black-forest-labs/flux2?
    pass
    AI named black-forest-labs/flux2 explicitly

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

  • If a team adopts black-forest-labs/flux2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named black-forest-labs/flux2 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 black-forest-labs/flux2 solve, and who is the primary audience?
    pass
    AI named black-forest-labs/flux2 explicitly

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

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