RRepoGEO

REPOGEO REPORT · LITE

uhub/awesome-go

Default branch master · commit e36a0477 · scanned 5/21/2026, 12:48:03 AM

GitHub: 1,775 stars · 181 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 uhub/awesome-go, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    go, golang, awesome-list, awesome, frameworks, libraries, software, curated-list
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository. Choose a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and paste its full text into this file.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/uhub/awesome-go

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 uhub/awesome-go
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
avelino/awesome-go
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. avelino/awesome-go · recommended 1×
  2. Go.dev · recommended 1×
  3. GitHub Explore · recommended 1×
  4. Go Report Card · recommended 1×
  5. Medium/Dev.to · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of awesome Go frameworks and libraries?
    you: not recommended
    AI recommended (in order):
    1. Awesome Go (avelino/awesome-go)
    2. Go.dev
    3. GitHub Explore
    4. Go Report Card
    5. Medium/Dev.to

    AI recommended 5 alternatives but never named uhub/awesome-go. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the most recommended Go libraries for building performant web services?
    you: not recommended
    AI recommended (in order):
    1. Gin Gonic (Gin)
    2. Echo
    3. Fiber
    4. net/http (Standard Library)
    5. GoFrame
    6. Revel

    AI recommended 6 alternatives but never named uhub/awesome-go. 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 uhub/awesome-go?
    pass
    AI named uhub/awesome-go explicitly

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

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

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

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uhub/awesome-go — 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