RRepoGEO

REPOGEO REPORT · LITE

caliber-ai-org/ai-setup

Default branch master · commit d59ae5bc · scanned 5/23/2026, 5:02:43 AM

GitHub: 1,078 stars · 111 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 caliber-ai-org/ai-setup, 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 README H1 and opening paragraph to clarify core function

    Why:

    CURRENT
    # Caliber

**Hand-written `CLAUDE.md` files go stale the moment you refactor.** Your AI agent hallucinates paths that no longer exist, misses new dependencies, and gives advice based on yesterday's architecture. Caliber generates and maintains your AI context files (`CLAUDE.md`, `.cursor/rules/`, `AGENTS.md`, `copilot-instructions.md`) so they stay accurate as your code evolves — and keeps every agent on your team in sync, whether they use Claude Code, Cursor, Codex, OpenCode, or GitHub Copilot.
    COPY-PASTE FIX
    # Caliber: Automated Context File Generation for AI Coding Assistants

**Caliber automatically generates and maintains up-to-date context files (like `CLAUDE.md`, `.cursor/rules/`, `AGENTS.md`, `copilot-instructions.md`) for your AI coding assistants.** Hand-written files go stale the moment you refactor, leading to AI agents hallucinating paths or giving outdated advice. Caliber ensures your AI context stays accurate as your code evolves, keeping every agent on your team in sync across tools like Claude Code, Cursor, Codex, OpenCode, or GitHub Copilot.
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Continuously sync your AI setups with one command. Codebase tailor suited agent skills, MCPs and config files for Claude Code, Cursor, and Codex.
    COPY-PASTE FIX
    Automate the generation and continuous synchronization of AI context files (like CLAUDE.md, .cursor/rules/) for coding assistants such as Claude Code, Cursor, and GitHub Copilot. Keep your AI agents grounded in your evolving codebase.
  • mediumtopics#3
    Refine repository topics for better categorization

    Why:

    CURRENT
    agent-config, ai-agents, anthropic, claude-code, claude-md, cli, codex, cursor, cursorrules, developer-tools, llm, mcp, openai, openai-codex, skills
    COPY-PASTE FIX
    ai-coding-assistant, code-context, context-generation, ai-agent-tools, claude-md-generator, cursor-rules-generator, github-copilot, automated-documentation, developer-tools, llm-ops, agent-skills, codebase-sync, cli

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 caliber-ai-org/ai-setup
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
run-llama/llama_index
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/llama_index · recommended 1×
  2. docsifyjs/docsify · recommended 1×
  3. vuejs/vuepress · recommended 1×
  4. facebook/docusaurus · recommended 1×
  5. sourcegraph/sourcegraph · recommended 1×
  • CATEGORY QUERY
    How to automatically generate and maintain up-to-date context files for AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. Docsify.js (docsifyjs/docsify)
    3. VuePress (vuejs/vuepress)
    4. Docusaurus (facebook/docusaurus)
    5. Sourcegraph (sourcegraph/sourcegraph)
    6. OpenGrok (OpenGrok/OpenGrok)
    7. Tree-sitter (tree-sitter/tree-sitter)
    8. Exuberant Ctags
    9. Universal Ctags (universal-ctags/ctags)
    10. ast
    11. babel (babel/babel)
    12. go/ast

    AI recommended 12 alternatives but never named caliber-ai-org/ai-setup. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help keep AI assistant context files consistent across a codebase?
    you: not recommended
    AI recommended (in order):
    1. JSON Schema
    2. PyYAML (yaml/pyyaml)
    3. yamale (pre-commit/yamale)
    4. Git (git/git)
    5. GitLab
    6. GitHub
    7. Bitbucket
    8. pre-commit (pre-commit/pre-commit)
    9. check-jsonschema (python-jsonschema/check-jsonschema)
    10. GitHub Actions
    11. GitLab CI/CD
    12. Jenkins (jenkinsci/jenkins)
    13. CircleCI
    14. ESLint (eslint/eslint)
    15. eslint-plugin-json-schema (ajv-validator/eslint-plugin-json-schema)
    16. eslint-plugin-yaml (ota-meshi/eslint-plugin-yaml)

    AI recommended 16 alternatives but never named caliber-ai-org/ai-setup. 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 caliber-ai-org/ai-setup?
    pass
    AI named caliber-ai-org/ai-setup explicitly

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

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

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

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caliber-ai-org/ai-setup — 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