RRepoGEO

REPOGEO REPORT · LITE

study8677/antigravity-workspace-template

Default branch main · commit 2e0c12cf · scanned 5/24/2026, 1:11:26 AM

GitHub: 1,238 stars · 252 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 study8677/antigravity-workspace-template, 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/H2 to clarify core function and category

    Why:

    CURRENT
    # Antigravity

### Cross-IDE repository knowledge engine for grounded codebase Q&A.
    COPY-PASTE FIX
    # Antigravity: Multi-Agent Knowledge Engine for Codebase Q&A

### Turns any codebase into a queryable AI assistant, specializing in grounded answers with source evidence.
  • mediumtopics#2
    Add more specific topics for codebase AI and RAG

    Why:

    CURRENT
    agentic-ai, agentic-coding, ai-agents, ai-coding, ai-ide, ai-workspace, claude-code, claude-code-template, code-search, codex, codex-cli, cursor-ide, developer-tools, gemini-cli, google-antigravity, llm-tools, mcp-server, prompt-engineering, rag, windsurf
    COPY-PASTE FIX
    Add `code-llm`, `code-rag`, `llm-for-code`, `ai-code-assistant`, `codebase-qa`, `developer-ai` to the existing topics.
  • mediumreadme#3
    Add a 'Comparison to LlamaIndex/LangChain' section in README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example:

## Antigravity vs. General-Purpose RAG Frameworks (LlamaIndex, LangChain)

While general-purpose RAG frameworks like LlamaIndex and LangChain provide powerful tools for building LLM applications, Antigravity is purpose-built for codebases. It specializes in creating a multi-agent knowledge graph of your repository, ensuring highly accurate, grounded answers with file paths and line numbers, outperforming generic RAG solutions when applied to complex code.

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 study8677/antigravity-workspace-template
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. run-llama/llama_index · recommended 2×
  2. langchain-ai/langchain · recommended 2×
  3. facebookresearch/faiss · recommended 2×
  4. weaviate/weaviate · recommended 2×
  5. Pinecone · recommended 2×
  • CATEGORY QUERY
    How can I create a queryable AI assistant for my entire codebase?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Faiss (facebookresearch/faiss)
    4. Hugging Face Transformers (huggingface/transformers)
    5. OpenAI API
    6. Anthropic Claude API
    7. Weaviate (weaviate/weaviate)
    8. Pinecone
    9. Qdrant (qdrant/qdrant)
    10. GitHub Copilot Enterprise

    AI recommended 10 alternatives but never named study8677/antigravity-workspace-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for grounding LLMs in a large code repository for accurate answers?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Faiss (facebookresearch/faiss)
    4. Weaviate (weaviate/weaviate)
    5. Pinecone
    6. Elasticsearch (elastic/elasticsearch)
    7. Chroma (chroma-core/chroma)

    AI recommended 7 alternatives but never named study8677/antigravity-workspace-template. 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 study8677/antigravity-workspace-template?
    pass
    AI did not name study8677/antigravity-workspace-template — 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 study8677/antigravity-workspace-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named study8677/antigravity-workspace-template 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 study8677/antigravity-workspace-template solve, and who is the primary audience?
    pass
    AI did not name study8677/antigravity-workspace-template — 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 study8677/antigravity-workspace-template. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/study8677/antigravity-workspace-template.svg)](https://repogeo.com/en/r/study8677/antigravity-workspace-template)
HTML
<a href="https://repogeo.com/en/r/study8677/antigravity-workspace-template"><img src="https://repogeo.com/badge/study8677/antigravity-workspace-template.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

study8677/antigravity-workspace-template — 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