RRepoGEO

REPOGEO REPORT · LITE

karanb192/reddit-mcp-buddy

Default branch main · commit ebd70c3c · scanned 6/2/2026, 12:22:49 AM

GitHub: 691 stars · 85 forks

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 karanb192/reddit-mcp-buddy, 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
  • highabout#1
    Clarify "MCP" in the repository description

    Why:

    CURRENT
    Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
    COPY-PASTE FIX
    Clean, LLM-optimized Reddit Model Context Protocol (MCP) server. Enables AI assistants to browse posts, search content, and analyze users on Reddit. No fluff, just Reddit data.
  • mediumtopics#2
    Add more specific LLM data access and AI integration topics

    Why:

    CURRENT
    ai-assistant, claude, mcp, mcp-server, model-context-protocol, reddit, reddit-api, typescript
    COPY-PASTE FIX
    ai-assistant, claude, mcp, mcp-server, model-context-protocol, reddit, reddit-api, typescript, llm-data-access, ai-integration
  • lowreadme#3
    Enhance the "Comparison with Other Tools" section

    Why:

    COPY-PASTE FIX
    Ensure the "Comparison with Other Tools" section explicitly contrasts `reddit-mcp-buddy` with generic Reddit APIs (like PRAW, Pushshift) and web scraping libraries (like Beautiful Soup) by emphasizing its direct integration with AI assistants, LLM optimization, and "no API keys required" advantage.

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 karanb192/reddit-mcp-buddy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PRAW
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PRAW · recommended 1×
  2. Pushshift API · recommended 1×
  3. Reddit API · recommended 1×
  4. Snorkel · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    How can I integrate real-time Reddit post browsing and user analysis for my AI assistant?
    you: not recommended
    AI recommended (in order):
    1. PRAW
    2. Pushshift API
    3. Reddit API
    4. Snorkel
    5. spaCy
    6. NLTK
    7. Apache Kafka
    8. RabbitMQ

    AI recommended 8 alternatives but never named karanb192/reddit-mcp-buddy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help LLMs access and process Reddit content without needing direct API keys?
    you: not recommended
    AI recommended (in order):
    1. Pushshift.io API
    2. Beautiful Soup
    3. requests
    4. httpx
    5. Scrapy
    6. Kaggle
    7. praw
    8. Google Search

    AI recommended 8 alternatives but never named karanb192/reddit-mcp-buddy. 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 karanb192/reddit-mcp-buddy?
    pass
    AI did not name karanb192/reddit-mcp-buddy — 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 karanb192/reddit-mcp-buddy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named karanb192/reddit-mcp-buddy 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 karanb192/reddit-mcp-buddy solve, and who is the primary audience?
    pass
    AI named karanb192/reddit-mcp-buddy explicitly

    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 karanb192/reddit-mcp-buddy. 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/karanb192/reddit-mcp-buddy.svg)](https://repogeo.com/en/r/karanb192/reddit-mcp-buddy)
HTML
<a href="https://repogeo.com/en/r/karanb192/reddit-mcp-buddy"><img src="https://repogeo.com/badge/karanb192/reddit-mcp-buddy.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

karanb192/reddit-mcp-buddy — 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