RRepoGEO

REPOGEO REPORT · LITE

6551Team/opennews-mcp

Default branch main · commit 18814067 · scanned 5/10/2026, 4:22:27 AM

GitHub: 1,214 stars · 129 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 6551Team/opennews-mcp, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise, category-defining opening paragraph to README

    Why:

    CURRENT
    <p align="center">
  <b>OpenNews MCP Server</b><br>
  84+ Real-time Data Sources · 6 Engine Categories · AI Ratings · Trading Signals
</p>
    COPY-PASTE FIX
    OpenNews MCP Server is a multi-channel platform for real-time news aggregation, AI-driven ratings, and trading signal generation, leveraging 84+ data sources to provide specialized financial intelligence and content management.
  • mediumabout#2
    Refine the repository description for clarity and keyword density

    Why:

    CURRENT
    News Aggregation · AI Ratings · Trading Signals · Real-time Updates
    COPY-PASTE FIX
    Real-time news aggregation, AI-driven ratings, and trading signals for financial intelligence and content management.

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 6551Team/opennews-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bloomberg Terminal
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bloomberg Terminal · recommended 1×
  2. Refinitiv Eikon · recommended 1×
  3. RavenPack · recommended 1×
  4. AlphaSense · recommended 1×
  5. NewsAPI.org · recommended 1×
  • CATEGORY QUERY
    Seeking a tool for real-time news aggregation and AI-driven trading signal generation.
    you: not recommended
    AI recommended (in order):
    1. Bloomberg Terminal
    2. Refinitiv Eikon
    3. RavenPack
    4. AlphaSense
    5. NewsAPI.org
    6. GNews API
    7. Financial Modeling Prep (FMP) API
    8. NLTK (nltk/nltk)
    9. spaCy (explosion/spaCy)
    10. TensorFlow (tensorflow/tensorflow)
    11. PyTorch (pytorch/pytorch)
    12. Kensho Scribe
    13. Kensho Link

    AI recommended 13 alternatives but never named 6551Team/opennews-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are platforms that provide AI-powered ratings and insights from diverse real-time data streams?
    you: not recommended
    AI recommended (in order):
    1. Databricks Lakehouse Platform
    2. Confluent Platform
    3. Amazon Kinesis
    4. AWS Lambda
    5. Amazon SageMaker
    6. Google Cloud Dataflow
    7. Google Cloud Pub/Sub
    8. Vertex AI
    9. Azure Stream Analytics
    10. Azure Event Hubs
    11. Azure Machine Learning
    12. Snowflake
    13. Snowpipe
    14. Snowpark
    15. Rockset

    AI recommended 15 alternatives but never named 6551Team/opennews-mcp. 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 6551Team/opennews-mcp?
    pass
    AI named 6551Team/opennews-mcp explicitly

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

  • If a team adopts 6551Team/opennews-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 6551Team/opennews-mcp 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 6551Team/opennews-mcp solve, and who is the primary audience?
    pass
    AI named 6551Team/opennews-mcp 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 6551Team/opennews-mcp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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6551Team/opennews-mcp — 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