REPOGEO REPORT · LITE
QmiAI/Qmedia
Default branch main · commit c890b254 · scanned 5/29/2026, 8:33:40 PM
GitHub: 624 stars · 74 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 QmiAI/Qmedia, 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 README H3 to clarify its role as a complete AI search platform
Why:
CURRENTAI content search engine designed specifically for content creators.
COPY-PASTE FIXA complete, local-first AI content search platform for creators to privately search and Q&A their image, text, and video assets.
- hightopics#2Add specific topics for multi-modal RAG applications and local deployment
Why:
CURRENTcontent, content-search, rag, search, search-engine, video
COPY-PASTE FIXcontent, content-search, rag, search, search-engine, video, multimodal-rag, local-ai, ai-for-creators, private-ai, content-creation-tools
- mediumhomepage#3Add a homepage URL to the repository About section
Why:
COPY-PASTE FIXAdd a link to a project website, demo, or documentation portal (e.g., `https://qmia.ai/qmedia` or `https://docs.qmia.ai/qmedia`).
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.
- Weaviate · recommended 2×
- Hugging Face Transformers · recommended 2×
- Elasticsearch · recommended 1×
- Pinecone · recommended 1×
- Milvus · recommended 1×
- CATEGORY QUERYHow can I build a private multi-modal search engine for my creative assets?you: not recommendedAI recommended (in order):
- Weaviate
- Elasticsearch
- Pinecone
- Milvus
- Faiss
- Hugging Face Transformers
- PostgreSQL
- pgvector
- OpenSearch
AI recommended 9 alternatives but never named QmiAI/Qmedia. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools enable local RAG for image and video content with an LLM?you: not recommendedAI recommended (in order):
- LlamaIndex
- CLIP
- OpenCLIP
- BLIP-2
- Chroma
- FAISS
- LangChain
- Hugging Face Transformers
- Qdrant
- Weaviate
- Ollama
- LLaVA
- BakLLaVA
- PyTorch
- TensorFlow
- Annoy
- OpenVINO
- ONNX Runtime
AI recommended 18 alternatives but never named QmiAI/Qmedia. 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 QmiAI/Qmedia?passAI named QmiAI/Qmedia explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts QmiAI/Qmedia in production, what risks or prerequisites should they evaluate first?passAI named QmiAI/Qmedia 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 QmiAI/Qmedia solve, and who is the primary audience?passAI named QmiAI/Qmedia 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 QmiAI/Qmedia. 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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QmiAI/Qmedia — 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