REPOGEO REPORT · LITE

danilofalcao/cursor-deepseek

Default branch main · commit 6fb93746 · scanned 6/5/2026, 2:42:47 PM

GitHub: 633 stars · 48 forks

AI VISIBILITY SCORE

28 /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

2 / 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 danilofalcao/cursor-deepseek, 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

hightopics#1
Expand topics to include proxy and OpenAI API compatibility
Why:
CURRENT
```
cursor, deepseek, openrouter
```
COPY-PASTE FIX
```
cursor, deepseek, openrouter, openai-api, llm-proxy, api-proxy
```

highreadme#2

Add a clear statement about the repository's license to the README

Why:

COPY-PASTE FIX

This project is licensed under a custom license. Please refer to the `LICENSE` file in the repository for full details on the applicable terms and conditions.

mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://github.com/danilofalcao/cursor-deepseek
```

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 danilofalcao/cursor-deepseek

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LiteLLM

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LiteLLM · recommended 2×
OpenRouter · recommended 2×
LocalAI · recommended 1×
Anyscale Endpoints · recommended 1×
VLLM · recommended 1×

CATEGORY QUERY
How can I use alternative language models with my existing OpenAI API compatible tools?
you: not recommended
AI recommended (in order):
1. LiteLLM
2. OpenRouter
3. LocalAI
4. Anyscale Endpoints
5. VLLM
6. FastChat
7. Azure OpenAI Service
AI recommended 7 alternatives but never named danilofalcao/cursor-deepseek. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What's a good way to integrate non-OpenAI LLMs into an OpenAI API development workflow?
you: not recommended
AI recommended (in order):
1. LiteLLM
2. OpenRouter
3. LangChain
4. LlamaIndex
5. Vellum
6. Portkey.ai
7. FastAPI
AI recommended 7 alternatives but never named danilofalcao/cursor-deepseek. 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 danilofalcao/cursor-deepseek?
pass
AI did not name danilofalcao/cursor-deepseek — 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 danilofalcao/cursor-deepseek in production, what risks or prerequisites should they evaluate first?
pass
AI named danilofalcao/cursor-deepseek 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 danilofalcao/cursor-deepseek solve, and who is the primary audience?
pass
AI named danilofalcao/cursor-deepseek explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/danilofalcao/cursor-deepseek.svg)](https://repogeo.com/en/r/danilofalcao/cursor-deepseek)

HTML

<a href="https://repogeo.com/en/r/danilofalcao/cursor-deepseek"><img src="https://repogeo.com/badge/danilofalcao/cursor-deepseek.svg" alt="RepoGEO" /></a>

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danilofalcao/cursor-deepseek — 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