REPOGEO REPORT · LITE

usewhale/DeepSeek-Code-Whale

Default branch main · commit 9ff4e6bb · scanned 6/17/2026, 2:41:27 AM

GitHub: 654 stars · 43 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 usewhale/DeepSeek-Code-Whale, 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

highreadme#1

Reposition the README's opening to emphasize core differentiators

Why:

CURRENT

<b>Whale — AI coding agent for DeepSeek, in any environment.</b><br>Long context, tools, and programmable workflows —<br>start in the terminal, scale to desktop and beyond.

COPY-PASTE FIX

<b>Whale — the blazingly fast, terminal-first AI coding agent for DeepSeek.</b><br>Achieve ~98% prompt cache hit rates, 1M context, MCP tools, and dynamic workflows, starting in your terminal and scaling anywhere.

mediumtopics#2

Expand topics to include more specific keywords

Why:

CURRENT

coding-agent, deepseek, deepseek-agent, deepseek-cli, deepseek-coding-agent, go, llm, mcp, skills, terminal

COPY-PASTE FIX

coding-agent, deepseek, deepseek-agent, deepseek-cli, deepseek-coding-agent, go, llm, mcp, skills, terminal, cli, productivity, developer-tools, ai-assistant, code-generation, prompt-caching, long-context

mediumreadme#3

Add a 'Why Whale?' or 'Key Differentiators' section to the README

Why:

COPY-PASTE FIX

Add a new section to the README, perhaps after 'Quick Start', titled 'Why Whale?' or 'Key Differentiators'. This section should explicitly list and elaborate on: 1. DeepSeek-Native: Optimized specifically for DeepSeek models. 2. Terminal-First & Blazingly Fast: Designed for speed and efficiency in the CLI. 3. High Cache Hit Rate: ~98% prompt cache hit for rapid iteration. 4. Long Context & MCP Tools: Handles complex tasks with 1M context and powerful tools. 5. Programmable Workflows: Dynamic and customizable agent behavior.

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 usewhale/DeepSeek-Code-Whale

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Cursor

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Cursor · recommended 2×
Continue · recommended 2×
GPT-Engineer · recommended 2×
aider · recommended 1×
smol-developer · recommended 1×

CATEGORY QUERY
What are the best terminal-based AI coding agents for fast, efficient development workflows?
you: not recommended
AI recommended (in order):
1. Cursor
2. Continue
3. aider
4. GPT-Engineer
5. smol-developer
6. OpenDevin
AI recommended 6 alternatives but never named usewhale/DeepSeek-Code-Whale. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an AI coding agent specifically for DeepSeek models with extensive context and tool integration.
you: not recommended
AI recommended (in order):
1. Cursor
2. Continue
3. Open Interpreter
4. Aider
5. GPT-Engineer
AI recommended 5 alternatives but never named usewhale/DeepSeek-Code-Whale. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
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 usewhale/DeepSeek-Code-Whale?
pass
AI did not name usewhale/DeepSeek-Code-Whale — 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 usewhale/DeepSeek-Code-Whale in production, what risks or prerequisites should they evaluate first?
pass
AI named usewhale/DeepSeek-Code-Whale 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 usewhale/DeepSeek-Code-Whale solve, and who is the primary audience?
pass
AI did not name usewhale/DeepSeek-Code-Whale — 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?

Embed your GEO score

Drop this badge into the README of usewhale/DeepSeek-Code-Whale. 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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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/usewhale/DeepSeek-Code-Whale"><img src="https://repogeo.com/badge/usewhale/DeepSeek-Code-Whale.svg" alt="RepoGEO" /></a>

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usewhale/DeepSeek-Code-Whale — 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