REPOGEO REPORT · LITE
boogu-project/Boogu-Image
Default branch main · commit dd7d1074 · scanned 6/25/2026, 1:27:41 AM
GitHub: 548 stars · 25 forks
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 boogu-project/Boogu-Image, 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.
- highreadme#1Reposition the project's core purpose to the top of the README
Why:
CURRENTThe README's first substantive text after the H3 is "Welcome to the official repository for **Boogu-Image-0.1** !"
COPY-PASTE FIXAdd the project's description as a prominent H1 or H2 at the very top of the README, e.g., "# Boogu-Image-0.1: An Apache-2.0 open-source image generation and editing model family that delivers near-closed-source performance with an order of magnitude less data."
- hightopics#2Add specific topics to improve AI categorization
Why:
COPY-PASTE FIXimage-generation, image-editing, text-to-image, generative-ai, open-source-ai, multimodal-ai, deep-learning, apache-2.0-license
- mediumhomepage#3Set the repository homepage URL
Why:
COPY-PASTE FIXhttps://boogu.org
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.
- Stable Diffusion · recommended 2×
- Civitai · recommended 1×
- Automatic1111 · recommended 1×
- ComfyUI · recommended 1×
- Fooocus · recommended 1×
- CATEGORY QUERYWhat open-source models can I use for generating and editing images efficiently?you: not recommendedAI recommended (in order):
- Stable Diffusion
- Civitai
- Automatic1111
- ComfyUI
- Fooocus
- InvokeAI
- Kandinsky 2.2
- ControlNet
- DeepFloyd IF
AI recommended 9 alternatives but never named boogu-project/Boogu-Image. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for an image generation AI that performs well with limited training data.you: not recommendedAI recommended (in order):
- StyleGAN2
- StyleGAN3
- Stable Diffusion
- DALL-E 2
- VQ-GAN
- CLIP
- ProGAN
- Pix2PixHD
AI recommended 8 alternatives but never named boogu-project/Boogu-Image. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 boogu-project/Boogu-Image?passAI did not name boogu-project/Boogu-Image — 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 boogu-project/Boogu-Image in production, what risks or prerequisites should they evaluate first?passAI named boogu-project/Boogu-Image 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 boogu-project/Boogu-Image solve, and who is the primary audience?passAI named boogu-project/Boogu-Image 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 boogu-project/Boogu-Image. 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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boogu-project/Boogu-Image — 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