RRepoGEO

REPOGEO REPORT · LITE

microsoft/fastcontext

Default branch main · commit 788342a5 · scanned 6/18/2026, 4:26:37 PM

GitHub: 570 stars · 27 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 microsoft/fastcontext, 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 explicitly state its LLM agent domain

    Why:

    CURRENT
    FastContext is a lightweight repository-exploration subagent for coding agents. Instead of letting the main coding agent spend its own context window on broad file reads and code searches, the main agent delegates a natural-language context query to FastContext. FastContext explores the repository with read-only tools, issues independent tool calls in parallel, and returns compact file-line citations as focused evidence for the main agent.
    COPY-PASTE FIX
    FastContext is a specialized **repository-exploration subagent designed for large language model (LLM) coding agents**. It optimizes LLM context usage by delegating complex code searches and file exploration, allowing the main agent to focus its context window on problem-solving. FastContext efficiently explores repositories, issues parallel tool calls, and returns focused, compact evidence (file-line citations) to the main LLM agent, preventing token waste and improving reasoning.
  • mediumtopics#2
    Add more specific topics related to LLM agents and context optimization

    Why:

    CURRENT
    code-explorer, sub-agent
    COPY-PASTE FIX
    llm-agents, code-exploration, context-optimization, ai-coding, agentic-ai, sub-agent, repository-explorer
  • lowhomepage#3
    Add the project's homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2606.14066

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 microsoft/fastcontext
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. GPT Index · recommended 1×
  3. GitHub Copilot Chat · recommended 1×
  4. Cursor · recommended 1×
  5. Continue · recommended 1×
  • CATEGORY QUERY
    How to optimize large language model agent context usage for code repository exploration?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. GPT Index

    AI recommended 2 alternatives but never named microsoft/fastcontext. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to delegate code repository searching and file exploration to an AI sub-agent?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Continue
    4. OpenAI GPT-4
    5. LocalAI
    6. Ollama
    7. Chroma
    8. FAISS

    AI recommended 8 alternatives but never named microsoft/fastcontext. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 microsoft/fastcontext?
    pass
    AI named microsoft/fastcontext explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite