REPOGEO REPORT · LITE
ollama/ollama-js
Default branch main · commit 9c92b18d · scanned 5/29/2026, 7:12:14 AM
GitHub: 4,233 stars · 439 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 ollama/ollama-js, 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.
- hightopics#1Expand repository topics to include LLM and AI keywords
Why:
CURRENTjavascript, js, ollama
COPY-PASTE FIXjavascript, js, ollama, llm, ai, generative-ai, local-llm, inference, streaming, machine-learning
- highreadme#2Reposition README's opening to explicitly state LLM integration for local/cloud
Why:
CURRENT# Ollama JavaScript Library The Ollama JavaScript library provides the easiest way to integrate your JavaScript project with Ollama.
COPY-PASTE FIX# Ollama JavaScript Library The Ollama JavaScript library provides the easiest way to integrate large language models (LLMs) into your JavaScript project, enabling local and cloud inference via the Ollama API.
- mediumreadme#3Add a sentence to the README intro highlighting streaming AI model responses for web apps
Why:
COPY-PASTE FIXIt supports seamless streaming of AI model responses, making it ideal for interactive web applications.
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.
- xenova/transformers.js · recommended 1×
- openai/openai-node · recommended 1×
- googleapis/nodejs-vertexai · recommended 1×
- langchain-ai/langchainjs · recommended 1×
- withcatai/node-llama-cpp · recommended 1×
- CATEGORY QUERYHow to integrate large language models into a JavaScript application for local or cloud inference?you: not recommendedAI recommended (in order):
- Hugging Face Transformers.js (xenova/transformers.js)
- OpenAI API (openai/openai-node)
- Google Cloud Vertex AI (googleapis/nodejs-vertexai)
- LangChain.js (langchain-ai/langchainjs)
- Llama.cpp (withcatai/node-llama-cpp)
- Replicate (replicate/replicate-javascript)
- AWS SageMaker (aws/aws-sdk-js-v3)
AI recommended 7 alternatives but never named ollama/ollama-js. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat JavaScript library enables streaming AI model responses for web applications in the browser?you: not recommendedAI recommended (in order):
- Server-Sent Events (SSE)
- fetch API
- Axios
- Socket.IO
- WebSockets
AI recommended 5 alternatives but never named ollama/ollama-js. 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 ollama/ollama-js?passAI did not name ollama/ollama-js — 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 ollama/ollama-js in production, what risks or prerequisites should they evaluate first?passAI named ollama/ollama-js 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 ollama/ollama-js solve, and who is the primary audience?passAI named ollama/ollama-js explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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ollama/ollama-js — 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