RRepoGEO

REPOGEO REPORT · LITE

sourcery-ai/sourcery

Default branch main · commit dea33cb4 · scanned 5/23/2026, 10:26:44 AM

GitHub: 1,816 stars · 98 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 sourcery-ai/sourcery, 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 paragraph to emphasize AI bot functionality

    Why:

    CURRENT
    Sourcery is here to help you:
- Speed up your code review process
- Improve your code quality and ensure high quality code
- Spend less time on reviews
- Accelerate development velocity
    COPY-PASTE FIX
    Sourcery is an AI-powered bot that provides instant, automated code reviews directly on your GitHub pull requests. It helps development teams to: Speed up your code review process, Improve your code quality and ensure high quality code, Spend less time on reviews, Accelerate development velocity.
  • mediumtopics#2
    Expand topics to reinforce AI and GitHub integration

    Why:

    CURRENT
    ai, code-quality, code-review-bot, code-reviews, python, refactoring, software-development
    COPY-PASTE FIX
    ai, code-quality, code-review-bot, code-reviews, python, refactoring, software-development, github-app, llm, generative-ai
  • lowreadme#3
    Add a concise statement about LLM usage and privacy near the top of the README

    Why:

    COPY-PASTE FIX
    Leveraging advanced LLMs from OpenAI and Anthropic, Sourcery delivers insightful, human-like feedback while ensuring your code is never used for model training and is deleted within 30 days.

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 sourcery-ai/sourcery
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 2×
  2. GitHub Actions · recommended 1×
  3. GitLab CI/CD · recommended 1×
  4. Jenkins · recommended 1×
  5. CircleCI · recommended 1×
  • CATEGORY QUERY
    How can I automate code quality checks and get instant feedback on pull requests?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. GitLab CI/CD
    3. SonarQube
    4. Jenkins
    5. CircleCI
    6. ESLint
    7. Prettier

    AI recommended 7 alternatives but never named sourcery-ai/sourcery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI tools for reviewing Python code changes in pull requests?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. CodeRabbit
    3. DeepSource
    4. SonarQube
    5. SonarLint
    6. Pylint
    7. Ruff

    AI recommended 7 alternatives but never named sourcery-ai/sourcery. 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 sourcery-ai/sourcery?
    pass
    AI named sourcery-ai/sourcery explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of sourcery-ai/sourcery. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/sourcery-ai/sourcery.svg)](https://repogeo.com/en/r/sourcery-ai/sourcery)
HTML
<a href="https://repogeo.com/en/r/sourcery-ai/sourcery"><img src="https://repogeo.com/badge/sourcery-ai/sourcery.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

sourcery-ai/sourcery — 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