REPOGEO REPORT · LITE
joanrod/star-vector
Default branch main · commit 0e083c19 · scanned 5/17/2026, 4:47:57 AM
GitHub: 4,422 stars · 248 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 joanrod/star-vector, 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#1Add a direct statement of purpose to the README's introduction
Why:
COPY-PASTE FIXStarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.
- mediumtopics#2Expand topics with more specific AI and SVG generation terms
Why:
CURRENTllm, multimodal-large-language-models, svg, vlm
COPY-PASTE FIXllm, multimodal-large-language-models, svg, vlm, svg-generation, vector-graphics-ai, image-to-svg, text-to-svg, generative-ai-model, vector-code-generation
- lowreadme#3Add a sentence differentiating StarVector from traditional vectorization tools
Why:
COPY-PASTE FIXUnlike traditional raster-to-vector converters or general image generators, StarVector directly produces high-quality SVG *code* from multimodal inputs, leveraging a foundation model architecture.
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.
- Inkscape · recommended 2×
- Vector Magic · recommended 2×
- Potrace · recommended 1×
- AutoTrace · recommended 1×
- ImageMagick · recommended 1×
- CATEGORY QUERYHow can I automatically convert raster images into scalable vector graphics code?you: not recommendedAI recommended (in order):
- Inkscape
- Potrace
- AutoTrace
- Vector Magic
- ImageMagick
- OpenCV
AI recommended 6 alternatives but never named joanrod/star-vector. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat AI tools generate SVG vector art from descriptive text prompts?you: not recommendedAI recommended (in order):
- Midjourney
- Vector Magic
- DALL-E 3
- Adobe Illustrator
- Stable Diffusion
- Inkscape
- Ideogram AI
- Affinity Designer
- IconifyAI
- Vecteezy AI Icon Generator
AI recommended 10 alternatives but never named joanrod/star-vector. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 joanrod/star-vector?passAI did not name joanrod/star-vector — 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 joanrod/star-vector in production, what risks or prerequisites should they evaluate first?passAI named joanrod/star-vector 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 joanrod/star-vector solve, and who is the primary audience?passAI named joanrod/star-vector 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 joanrod/star-vector. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/joanrod/star-vector)<a href="https://repogeo.com/en/r/joanrod/star-vector"><img src="https://repogeo.com/badge/joanrod/star-vector.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
joanrod/star-vector — 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