RRepoGEO

REPOGEO REPORT · LITE

fetchai/innovation-lab-examples

Default branch main · commit 9a373df3 · scanned 5/22/2026, 7:02:01 AM

GitHub: 1,012 stars · 53 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
22 /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
1 / 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 fetchai/innovation-lab-examples, 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
    Reposition the README's opening paragraph to clarify its purpose as an example collection

    Why:

    CURRENT
    A curated collection of **production-quality agent examples** built with Fetch.ai technologies — uAgents, ASI:One, Agentverse, A2A protocol, MCP, and more.
    COPY-PASTE FIX
    A curated collection of **production-quality agent examples** built with Fetch.ai technologies — uAgents, ASI:One, Agentverse, A2A protocol, MCP, and more. This repository serves as a practical learning resource and quick-start guide, offering detailed, ready-to-run implementations for common and advanced use cases, distinct from core framework documentation.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://fetch.ai/

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 fetchai/innovation-lab-examples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    How to build autonomous agent systems with practical, production-ready examples?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Open Interpreter
    7. BabyAGI
    8. Auto-GPT

    AI recommended 8 alternatives but never named fetchai/innovation-lab-examples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for agent development examples integrating LLMs, payments, or Web3 capabilities.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. Stripe
    3. Ethers.js (ethers-io/ethers.js)
    4. Web3.js (web3/web3.js)
    5. LangChain (langchain-ai/langchain)
    6. Coinbase Commerce
    7. MetaMask SDK (MetaMask/metamask-sdk)
    8. Auto-GPT (Significant-Gravitas/Auto-GPT)
    9. BabyAGI (yoheinakajima/babyagi)
    10. PayPal API
    11. Chainlink Keepers
    12. LlamaIndex (run-llama/llama_index)
    13. The Graph
    14. Worldcoin ID
    15. SpruceID's DIDKit (spruceid/didkit)
    16. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    17. Alchemy API
    18. Circle API

    AI recommended 18 alternatives but never named fetchai/innovation-lab-examples. 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 fetchai/innovation-lab-examples?
    pass
    AI did not name fetchai/innovation-lab-examples — 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 fetchai/innovation-lab-examples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fetchai/innovation-lab-examples 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 fetchai/innovation-lab-examples solve, and who is the primary audience?
    pass
    AI did not name fetchai/innovation-lab-examples — 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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fetchai/innovation-lab-examples — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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