RRepoGEO

REPOGEO REPORT · LITE

chatgptprojects/clear-code

Default branch main · commit e188f077 · scanned 5/17/2026, 10:12:49 AM

GitHub: 2,081 stars · 2,172 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 chatgptprojects/clear-code, 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
    Remove misleading 'Ultimate Guide to Open-Source AI Coding Assistants' section

    Why:

    CURRENT
    ### The Ultimate Guide to Open-Source AI Coding Assistants
...
**Clear-Code** is a comprehensive, community-driven resource hub dedicated to cataloging, comparing, and promoting the best **open-source AI coding assistants** available today. Whether you're a solo developer, a startup founder, or part of a large engineering team, this repository is your one-stop guide to finding the right AI-powered coding tool — without vendor lock-in, without closed-source limitations, and without the hefty price tags.
    COPY-PASTE FIX
    Remove the subtitle `### The Ultimate Guide to Open-Source AI Coding Assistants` and the entire paragraph starting with `**Clear-Code** is a comprehensive, community-driven resource hub...` from the README.
  • hightopics#2
    Add relevant topics for LLM API logging and observability

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm-observability, api-gateway, claude, anthropic, ai-monitoring, llm-logging, proxy, leanmcp
  • mediumabout#3
    Refine repository description for clarity on LLM API logging

    Why:

    CURRENT
    See your claude code logs in clear details in your dashboard
    COPY-PASTE FIX
    An API gateway to log and monitor all your Claude AI API requests, responses, and token usage in clear detail.

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 chatgptprojects/clear-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langfuse/langfuse
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langfuse/langfuse · recommended 1×
  2. helicone/helicone · recommended 1×
  3. OpenTelemetry · recommended 1×
  4. jaegertracing/jaeger · recommended 1×
  5. prometheus/prometheus · recommended 1×
  • CATEGORY QUERY
    How to get detailed visibility into my large language model API usage?
    you: not recommended
    AI recommended (in order):
    1. Langfuse (langfuse/langfuse)
    2. Helicone (helicone/helicone)
    3. OpenTelemetry
    4. Jaeger (jaegertracing/jaeger)
    5. Prometheus (prometheus/prometheus)
    6. Grafana (grafana/grafana)
    7. Datadog
    8. New Relic
    9. OpenAI Playground/Dashboard
    10. Azure AI Studio
    11. Elasticsearch (elastic/elasticsearch)
    12. Logstash (elastic/logstash)
    13. Kibana (elastic/kibana)
    14. Splunk

    AI recommended 14 alternatives but never named chatgptprojects/clear-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source AI coding assistant tools for developers?
    you: not recommended
    AI recommended (in order):
    1. Tabnine (Community Edition)
    2. FauxPilot
    3. CodeGPT
    4. Continue
    5. Ollama
    6. LocalAI
    7. Auto-GPT

    AI recommended 7 alternatives but never named chatgptprojects/clear-code. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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 chatgptprojects/clear-code?
    pass
    AI did not name chatgptprojects/clear-code — 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 chatgptprojects/clear-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chatgptprojects/clear-code 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 chatgptprojects/clear-code solve, and who is the primary audience?
    pass
    AI named chatgptprojects/clear-code explicitly

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

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chatgptprojects/clear-code — 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