RRepoGEO

REPOGEO REPORT · LITE

aws/aws-graviton-getting-started

Default branch main · commit b168eaec · scanned 5/23/2026, 2:17:55 PM

GitHub: 1,036 stars · 225 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
27 /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
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 aws/aws-graviton-getting-started, 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 H1 and opening paragraph to emphasize its role as a guide collection

    Why:

    CURRENT
    # AWS Graviton Technical Guide

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton4 processors). While it calls out specific features of the Graviton processors themselves, this repository is also generally useful for anyone running code on Arm-based systems.
    COPY-PASTE FIX
    # AWS Graviton Technical Guide: Migration and Optimization Guides for Arm-based EC2

This repository offers practical technical guidance, examples, and best practices for developers and users looking to transition, build, and optimize applications on Amazon EC2 instances powered by AWS Graviton processors (including Graviton2, Graviton3, and the latest Graviton4 processors). It serves as a comprehensive resource for running code efficiently on Arm-based systems within the AWS ecosystem.
  • mediumtopics#2
    Expand repository topics to include action-oriented keywords

    Why:

    CURRENT
    arm, ec2, graviton, graviton2, graviton3, graviton3e, graviton4
    COPY-PASTE FIX
    arm, ec2, graviton, graviton2, graviton3, graviton3e, graviton4, migration, optimization, performance, cloud-native, arm64, technical-guide, examples, best-practices
  • lowreadme#3
    Clarify licensing in the README

    Why:

    COPY-PASTE FIX
    Add a section like '## Licensing' to the README, stating: 'This repository is licensed under the terms specified in the [LICENSE](LICENSE) file. Please review the LICENSE file for full details on the applicable terms and conditions.'

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 aws/aws-graviton-getting-started
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure Confidential Computing
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure Confidential Computing · recommended 2×
  2. docker/buildx · recommended 1×
  3. AWS Graviton · recommended 1×
  4. M6g · recommended 1×
  5. C6g · recommended 1×
  • CATEGORY QUERY
    How can I transition my existing applications to Arm-based cloud computing environments?
    you: not recommended
    AI recommended (in order):
    1. Docker Buildx (docker/buildx)
    2. AWS Graviton
    3. M6g
    4. C6g
    5. R6g
    6. T4g
    7. X2gd
    8. Azure Confidential Computing
    9. Dpsv5
    10. Epsv5
    11. Google Cloud Tau T2A
    12. Oracle Cloud Infrastructure (OCI) Ampere A1 Compute
    13. Hetzner Cloud
    14. perf
    15. Valgrind
    16. Java Flight Recorder
    17. Python's cProfile
    18. Amazon CloudWatch
    19. Azure Monitor
    20. Google Cloud Monitoring
    21. Amazon RDS
    22. Azure Database for PostgreSQL
    23. Google Cloud SQL
    24. PostgreSQL
    25. MySQL
    26. Redis (redis/redis)
    27. Amazon S3
    28. Azure Blob Storage
    29. Google Cloud Storage
    30. GitHub Actions
    31. GitLab CI/CD
    32. Jenkins (jenkinsci/jenkins)

    AI recommended 32 alternatives but never named aws/aws-graviton-getting-started. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for technical guidance on optimizing application performance for Arm architecture in the cloud.
    you: not recommended
    AI recommended (in order):
    1. AWS Graviton Processors
    2. Amazon EC2
    3. Amazon ECS
    4. Amazon EKS
    5. AWS Lambda
    6. Azure Confidential Computing
    7. Google Cloud Tau T2A VMs
    8. Ampere Computing
    9. Arm Developer Resources
    10. Arm Architecture Reference Manuals
    11. Arm Compiler for Linux
    12. Arm Performance Libraries
    13. Docker Buildx
    14. Grafana
    15. Prometheus

    AI recommended 15 alternatives but never named aws/aws-graviton-getting-started. 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 aws/aws-graviton-getting-started?
    pass
    AI did not name aws/aws-graviton-getting-started — 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 aws/aws-graviton-getting-started in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aws/aws-graviton-getting-started 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 aws/aws-graviton-getting-started solve, and who is the primary audience?
    pass
    AI did not name aws/aws-graviton-getting-started — 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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aws/aws-graviton-getting-started — 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