RRepoGEO

REPOGEO REPORT · LITE

leochlon/hallbayes

Default branch main · commit cb34ac92 · scanned 5/21/2026, 10:43:13 PM

GitHub: 1,667 stars · 160 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
30 /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
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 leochlon/hallbayes, 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 clear 'about' description for the repository

    Why:

    COPY-PASTE FIX
    Berry, a project within leochlon/hallbayes, provides workflow verification playbooks and tools for detecting AI hallucinations and auditing trace budgets in AI-generated content and code.
  • mediumreadme#2
    Reposition the README's opening to explicitly link leochlon/hallbayes to 'Berry'

    Why:

    CURRENT
    # Berry
    COPY-PASTE FIX
    # leochlon/hallbayes: Berry – Workflow verification playbooks for AI-generated content

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 leochlon/hallbayes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elasticsearch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Elasticsearch · recommended 2×
  2. Google Fact Check Tools · recommended 1×
  3. NewsGuard · recommended 1×
  4. Snopes · recommended 1×
  5. SonarQube · recommended 1×
  • CATEGORY QUERY
    How to verify AI-generated code or content for factual accuracy and reduce hallucinations?
    you: not recommended
    AI recommended (in order):
    1. Google Fact Check Tools
    2. NewsGuard
    3. Snopes
    4. SonarQube
    5. Pylint
    6. ESLint
    7. Checkmarx
    8. Fortify
    9. LangChain
    10. LlamaIndex
    11. Haystack
    12. Neo4j
    13. Elasticsearch
    14. Pinecone
    15. Jest
    16. Pytest
    17. JUnit
    18. NUnit
    19. OpenAI's Evals

    AI recommended 19 alternatives but never named leochlon/hallbayes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to integrate AI output verification and audit trace budgets in development workflows?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow
    3. Datadog
    4. Prometheus
    5. Grafana
    6. OpenTelemetry
    7. Splunk
    8. ELK Stack
    9. Elasticsearch
    10. Logstash
    11. Kibana
    12. Fiddler AI
    13. Arize AI

    AI recommended 13 alternatives but never named leochlon/hallbayes. 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 leochlon/hallbayes?
    pass
    AI named leochlon/hallbayes explicitly

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

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

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

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leochlon/hallbayes — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite