RRepoGEO

REPOGEO REPORT · LITE

openops-cloud/openops

Default branch main · commit b0bd2de1 · scanned 5/17/2026, 3:27:05 PM

GitHub: 1,023 stars · 175 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 openops-cloud/openops, 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 the README's opening statement to emphasize core identity

    Why:

    CURRENT
    OpenOps is a **No-Code FinOps automation platform** that helps organizations reduce cloud costs and streamline financial operations.
    COPY-PASTE FIX
    OpenOps is the **open-source, no-code FinOps automation platform** that helps organizations reduce cloud costs and streamline financial operations with trusted AI.
  • mediumlicense#2
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: 'OpenOps is released under [insert specific license name(s) here, e.g., Apache 2.0 and MIT]. Please refer to the [LICENSE](LICENSE) file for complete terms.'
  • lowcomparison#3
    Add a comparison section to the README highlighting unique value

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled '## OpenOps vs. [Competitors/Alternatives]' or '## Why OpenOps?' that highlights its unique value proposition as an open-source, no-code FinOps platform compared to common proprietary or code-heavy alternatives.

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 openops-cloud/openops
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CloudHealth by VMware
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CloudHealth by VMware · recommended 2×
  2. Flexera One · recommended 2×
  3. Apptio Cloudability · recommended 2×
  4. Harness Cloud Cost Management · recommended 1×
  5. Spot by NetApp · recommended 1×
  • CATEGORY QUERY
    What are some no-code platforms to automate cloud financial operations and reduce costs?
    you: not recommended
    AI recommended (in order):
    1. CloudHealth by VMware
    2. Flexera One
    3. Apptio Cloudability
    4. Harness Cloud Cost Management
    5. Spot by NetApp
    6. AWS Cost Explorer
    7. AWS Budgets
    8. AWS Organizations
    9. AWS Lambda
    10. AWS Systems Manager
    11. Azure Cost Management + Billing
    12. Azure Policy
    13. Azure Automation

    AI recommended 13 alternatives but never named openops-cloud/openops. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hosted AI-powered platform to optimize multi-cloud spend and governance.
    you: not recommended
    AI recommended (in order):
    1. CloudHealth by VMware
    2. Flexera One
    3. Apptio Cloudability
    4. ApptioOne
    5. OpenCost (opencost/opencost)
    6. Prometheus (prometheus/prometheus)
    7. Grafana (grafana/grafana)
    8. TensorFlow (tensorflow/tensorflow)
    9. PyTorch (pytorch/pytorch)
    10. scikit-learn (scikit-learn/scikit-learn)
    11. HPE GreenLake
    12. CloudBolt

    AI recommended 12 alternatives but never named openops-cloud/openops. 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 openops-cloud/openops?
    pass
    AI named openops-cloud/openops explicitly

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

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

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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