RRepoGEO

REPOGEO REPORT · LITE

TencentEdgeOne/edgeone-makers-tools

Default branch main · commit 1f01a91e · scanned 6/28/2026, 5:23:12 PM

GitHub: 675 stars · 75 forks

AI VISIBILITY SCORE
10 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
0 / 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 TencentEdgeOne/edgeone-makers-tools, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Official AI Agent Skills and development tools for building and deploying projects on Tencent EdgeOne Makers, including serverless functions, storage, and middleware.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) or explicitly state the licensing terms in the README.

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 TencentEdgeOne/edgeone-makers-tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. microsoft/semantic-kernel · recommended 1×
  4. deepset-ai/haystack · recommended 1×
  5. Azure AI Studio · recommended 1×
  • CATEGORY QUERY
    How to develop, deploy, and manage AI agent applications using various SDKs?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. Haystack (deepset-ai/haystack)
    5. Azure AI Studio
    6. Google Cloud Vertex AI
    7. AWS SageMaker
    8. Hugging Face Inference Endpoints
    9. LangSmith
    10. Weights & Biases (wandb/wandb)
    11. OpenReplay (openreplay/openreplay)
    12. Prometheus (prometheus/prometheus)
    13. Grafana (grafana/grafana)

    AI recommended 13 alternatives but never named TencentEdgeOne/edgeone-makers-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a serverless platform for deploying edge functions, cloud functions, and persistent storage.
    you: not recommended
    AI recommended (in order):
    1. Vercel
    2. Vercel KV
    3. Vercel Postgres
    4. Vercel Blob
    5. Vercel Edge Config
    6. Cloudflare Workers
    7. Workers KV
    8. Durable Objects
    9. R2
    10. D1
    11. AWS Lambda
    12. Lambda@Edge
    13. DynamoDB
    14. S3
    15. Aurora Serverless
    16. Google Cloud Functions
    17. Cloud CDN
    18. Cloud Firestore
    19. Cloud Storage
    20. Cloud SQL
    21. Azure Functions
    22. Azure Front Door
    23. Azure Cosmos DB
    24. Azure Blob Storage
    25. Azure SQL Database
    26. Netlify Functions
    27. Netlify Edge Functions
    28. Netlify Data

    AI recommended 28 alternatives but never named TencentEdgeOne/edgeone-makers-tools. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 TencentEdgeOne/edgeone-makers-tools?
    pass
    AI did not name TencentEdgeOne/edgeone-makers-tools — 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 TencentEdgeOne/edgeone-makers-tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name TencentEdgeOne/edgeone-makers-tools — 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?

  • In one sentence, what problem does the repo TencentEdgeOne/edgeone-makers-tools solve, and who is the primary audience?
    pass
    AI did not name TencentEdgeOne/edgeone-makers-tools — 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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  • Brand-free category queries5 vs 2 in Lite
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TencentEdgeOne/edgeone-makers-tools — RepoGEO report