RRepoGEO

REPOGEO REPORT · LITE

davis7dotsh/better-context

Default branch main · commit 864e5ba4 · scanned 5/20/2026, 12:33:22 PM

GitHub: 1,121 stars · 78 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
33 /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
2 / 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 davis7dotsh/better-context, 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
    Add a clear category statement to the README's opening paragraph

    Why:

    CURRENT
    Ask your AI agent questions about libraries and frameworks by searching the actual source code, not outdated docs.
    COPY-PASTE FIX
    Ask your AI agent questions about libraries and frameworks by searching the actual source code, not outdated docs. btca is a specialized context provider for AI coding agents, designed to give them real-time, accurate understanding of your project's libraries and frameworks by analyzing their source code.
  • mediumtopics#2
    Enhance repository topics with more specific keywords

    Why:

    CURRENT
    ai, context, docs
    COPY-PASTE FIX
    ai, context, docs, source-code-analysis, llm-tools, agent-context, project-understanding, code-analysis
  • mediumreadme#3
    Replace the prominent `[!WARNING]` with a concise `[!NOTE]` in a dedicated section

    Why:

    CURRENT
    > [!WARNING]
    > btca is being rewritten right now. The new version will overwrite the current one with full backwards compatibility, while fixing a ton of issues and massively improving performance. It is being rebuilt around pi agent and node to improve the Windows experience.
    COPY-PASTE FIX
    ```markdown
    > [!NOTE]
    > btca is currently undergoing a major rewrite to improve performance and compatibility, with full backwards compatibility planned. Refer to the project's issues for the latest updates.
    ```

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 davis7dotsh/better-context
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat / GitHub Copilot Enterprise
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat / GitHub Copilot Enterprise · recommended 1×
  2. Cursor IDE · recommended 1×
  3. Codeium · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. ChatGPT Enterprise · recommended 1×
  • CATEGORY QUERY
    How can I get up-to-date context on project libraries directly from source code using AI?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat / GitHub Copilot Enterprise
    2. Cursor IDE
    3. Codeium
    4. OpenAI GPT-4
    5. ChatGPT Enterprise
    6. Google Gemini
    7. Gemini Advanced
    8. Ollama (ollama/ollama)
    9. LM Studio
    10. Llama 3
    11. Mixtral
    12. Code Llama

    AI recommended 12 alternatives but never named davis7dotsh/better-context. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to help my coding AI agent understand project dependencies by analyzing source code?
    you: not recommended
    AI recommended (in order):
    1. Understand
    2. Lattix Architect
    3. CodeLogic
    4. SonarQube (SonarSource/sonarqube)
    5. Dependency-Track (DependencyTrack/dependency-track)
    6. jq (stedolan/jq)
    7. grep
    8. awk
    9. sed
    10. Tree-sitter (tree-sitter/tree-sitter)
    11. Eclipse JDT (eclipse-jdt/eclipse.jdt.core)
    12. Roslyn (dotnet/roslyn)
    13. Clang (llvm/llvm-project)

    AI recommended 13 alternatives but never named davis7dotsh/better-context. 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 davis7dotsh/better-context?
    pass
    AI named davis7dotsh/better-context explicitly

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

  • If a team adopts davis7dotsh/better-context in production, what risks or prerequisites should they evaluate first?
    pass
    AI named davis7dotsh/better-context 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 davis7dotsh/better-context solve, and who is the primary audience?
    pass
    AI did not name davis7dotsh/better-context — 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?

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davis7dotsh/better-context — 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