RRepoGEO

REPOGEO REPORT · LITE

cocoindex-io/cocoindex-code

Default branch main · commit e6a077fc · scanned 5/20/2026, 11:56:25 AM

GitHub: 1,693 stars · 134 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
3 / 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 cocoindex-io/cocoindex-code, 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 paragraph to emphasize AI agent and LLM token reduction

    Why:

    CURRENT
    A lightweight, effective (AST-based) semantic code search tool for your codebase. Built on CocoIndex — a Rust-based ultra performant data transformation engine. Use it from the CLI, or integrate with Claude, Codex, Cursor — any coding agent — via [Skill](#skill-recommended) or [MCP](#mcp-server).
    COPY-PASTE FIX
    A lightweight, effective **(AST-based)** semantic code search tool specifically designed to enhance **AI coding agents** and **reduce LLM token usage** by up to 70%. Built on CocoIndex — a Rust-based ultra performant data transformation engine. Use it from the CLI, or integrate seamlessly with Claude, Codex, Cursor — any coding agent — via [Skill](#skill-recommended) or [MCP](#mcp-server).
  • mediumtopics#2
    Add more specific LLM/AI agent related topics

    Why:

    CURRENT
    agents, ast, cocoindex, code-search, coding-agent, context-engineering, indexing, mcp, python, tree-sitter
    COPY-PASTE FIX
    agents, ast, cocoindex, code-search, coding-agent, context-engineering, indexing, mcp, python, tree-sitter, llm-agents, token-reduction, semantic-code-search, ai-assistant-tools
  • mediumreadme#3
    Add a 'Why CocoIndex-Code for AI Agents?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why CocoIndex-Code for AI Agents?
Unlike generic text search tools (like `ripgrep` or `grep`) or standalone AST libraries (like `Tree-sitter`), CocoIndex-Code is purpose-built for AI coding assistants. It provides:
- **70% Token Reduction:** Drastically cuts down on LLM context window usage by providing precise, AST-based code snippets.
- **Semantic Search:** Understands code structure and meaning, not just keywords, for more relevant results.
- **Zero-Config Setup:** Get started in minutes without complex configurations.
- **Seamless Agent Integration:** Designed to work out-of-the-box with Claude, Codex, Cursor, and other coding agents.

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 cocoindex-io/cocoindex-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tree-sitter
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tree-sitter · recommended 1×
  2. ast · recommended 1×
  3. libclang · recommended 1×
  4. go/ast · recommended 1×
  5. ts-morph · recommended 1×
  • CATEGORY QUERY
    How to find code snippets using AST for my AI coding assistant?
    you: not recommended
    AI recommended (in order):
    1. Tree-sitter
    2. ast
    3. libclang
    4. go/ast
    5. ts-morph
    6. esprima
    7. acorn
    8. estraverse

    AI recommended 8 alternatives but never named cocoindex-io/cocoindex-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast, lightweight local code search tool to reduce LLM token usage.
    you: not recommended
    AI recommended (in order):
    1. ripgrep (BurntSushi/ripgrep)
    2. The Silver Searcher (ag) (ggreer/the_silver_searcher)
    3. fzf (junegunn/fzf)
    4. grep
    5. ack (beyondgrep/ack)

    AI recommended 5 alternatives but never named cocoindex-io/cocoindex-code. 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 cocoindex-io/cocoindex-code?
    pass
    AI named cocoindex-io/cocoindex-code explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts cocoindex-io/cocoindex-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cocoindex-io/cocoindex-code 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 cocoindex-io/cocoindex-code solve, and who is the primary audience?
    pass
    AI named cocoindex-io/cocoindex-code explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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cocoindex-io/cocoindex-code — 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