RRepoGEO

REPOGEO REPORT · LITE

cloudflare/agents

Default branch main · commit 6560a4aa · scanned 7/1/2026, 2:02:07 AM

GitHub: 5,209 stars · 609 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
40 /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
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 cloudflare/agents, 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
    Reposition README introduction to clarify AI agent platform and emphasize AI capabilities

    Why:

    CURRENT
    Agents are persistent, stateful execution environments for agentic workloads, powered by Cloudflare Durable Objects. Each agent has its own state, storage, and lifecycle — with built-in support for real-time communication, scheduling, AI model calls, MCP, workflows, and more.
    COPY-PASTE FIX
    Cloudflare Agents is a platform for building and deploying *AI agents* that are persistent, stateful execution environments for agentic workloads, powered by Cloudflare Durable Objects. Unlike generic serverless functions or workflow orchestrators, Agents are designed specifically for *AI model calls (e.g., via Workers AI)*, real-time communication, and managing the lifecycle of millions of independent, stateful AI entities. *This makes Cloudflare Agents ideal for building intelligent, autonomous entities that can interact with users, process data, and automate complex tasks at the edge.*
  • hightopics#2
    Update GitHub topics for accurate AI agent categorization

    Why:

    CURRENT
    agents, ai, cloudflare, durable-objects, workflows
    COPY-PASTE FIX
    ai-agents, agent-framework, serverless-ai, edge-ai, cloudflare, durable-objects, stateful-ai, real-time-ai
  • mediumreadme#3
    Add context to the README's 'Quick Example' to manage expectations for AI-specific examples

    Why:

    CURRENT
    ## Quick Example
A counter agent with persistent state, callable methods, and real-time sync to a React frontend:
    COPY-PASTE FIX
    ## Quick Example: Stateful Counter
A counter agent with persistent state, callable methods, and real-time sync to a React frontend. *For examples demonstrating AI model integration and advanced agentic workflows, refer to the official Cloudflare Agents documentation.*

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 cloudflare/agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AWS Step Functions
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AWS Step Functions · recommended 2×
  2. AWS Lambda · recommended 1×
  3. Amazon DynamoDB · recommended 1×
  4. Google Cloud Run · recommended 1×
  5. Google Cloud Firestore · recommended 1×
  • CATEGORY QUERY
    How can I deploy many independent, stateful AI agents cost-effectively on demand?
    you: not recommended
    AI recommended (in order):
    1. AWS Lambda
    2. AWS Step Functions
    3. Amazon DynamoDB
    4. Google Cloud Run
    5. Google Cloud Firestore
    6. Google Cloud Spanner
    7. Azure Container Apps
    8. Azure Cosmos DB
    9. Kubernetes
    10. Amazon EKS
    11. Google Kubernetes Engine
    12. Azure Kubernetes Service
    13. KEDA
    14. Apache Cassandra
    15. PostgreSQL
    16. Patroni
    17. Vercel
    18. Upstash Redis
    19. Upstash Kafka
    20. Fly.io
    21. Litestream
    22. SQLite

    AI recommended 22 alternatives but never named cloudflare/agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a platform for building AI-powered workflows with real-time communication and durable state.
    you: not recommended
    AI recommended (in order):
    1. Temporal.io (temporalio/temporal)
    2. AWS Step Functions
    3. Azure Durable Functions
    4. Prefect (PrefectHQ/prefect)
    5. Apache Airflow (apache/airflow)
    6. Conductor (Netflix/conductor)

    AI recommended 6 alternatives but never named cloudflare/agents. 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 cloudflare/agents?
    pass
    AI named cloudflare/agents explicitly

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

  • If a team adopts cloudflare/agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cloudflare/agents 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 cloudflare/agents solve, and who is the primary audience?
    pass
    AI named cloudflare/agents explicitly

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

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