REPOGEO REPORT · LITE
aattaran/deepclaude
Default branch main · commit 70518b6c · scanned 6/17/2026, 11:13:10 PM
GitHub: 2,136 stars · 140 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 aattaran/deepclaude, 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
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README's first sentence to clarify its role as a proxy for agents
Why:
CURRENTUse Claude Code's autonomous agent loop with **DeepSeek V4 Pro**, **OpenRouter**, or any Anthropic-compatible backend. Same UX, 17x cheaper.
COPY-PASTE FIX**deepclaude** is a cost-saving proxy for autonomous AI coding agents, allowing you to run Claude Code's agent loop with **DeepSeek V4 Pro**, **OpenRouter**, or any Anthropic-compatible backend for the same UX at 17x cheaper.
- mediumhomepage#2Add the repository URL as the homepage
Why:
COPY-PASTE FIXhttps://github.com/aattaran/deepclaude
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.
- OpenAI GPT-3.5 Turbo · recommended 1×
- Anthropic Claude 3 Haiku · recommended 1×
- Google Gemini 1.5 Pro · recommended 1×
- CodeLlama · recommended 1×
- DeepSeek Coder · recommended 1×
- CATEGORY QUERYHow can I reduce costs for my autonomous AI coding agent workflows?you: not recommendedAI recommended (in order):
- OpenAI GPT-3.5 Turbo
- Anthropic Claude 3 Haiku
- Google Gemini 1.5 Pro
- CodeLlama
- DeepSeek Coder
- StarCoder2
- Hugging Face Inference Endpoints
- AWS SageMaker
- TheBloke/CodeLlama-7B-Instruct-v1.0-GGUF
- Ollama (ollama/ollama)
- LM Studio
- LiteLLM (BerriAI/litellm)
- LangChain (langchain-ai/langchain)
- AutoGen (microsoft/autogen)
AI recommended 14 alternatives but never named aattaran/deepclaude. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking a tool to integrate cheaper large language models into existing coding agent setups.you: not recommendedAI recommended (in order):
- LiteLLM
- LangChain
- LlamaIndex
- OpenAI's API
- Hugging Face Transformers
- Ollama
AI recommended 6 alternatives but never named aattaran/deepclaude. 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 aattaran/deepclaude?passAI named aattaran/deepclaude explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts aattaran/deepclaude in production, what risks or prerequisites should they evaluate first?passAI named aattaran/deepclaude 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 aattaran/deepclaude solve, and who is the primary audience?passAI named aattaran/deepclaude 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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aattaran/deepclaude — 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