RRepoGEO

REPOGEO REPORT · LITE

RayBytes/ChatMock

Default branch main · commit 85bdb27a · scanned 5/22/2026, 11:01:47 AM

GitHub: 1,460 stars · 200 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
35 /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
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 RayBytes/ChatMock, 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 README H1 and opening sentence to clarify mocking purpose

    Why:

    CURRENT
    # ChatMock

**Allows Codex to work in your favourite chat apps and coding tools.**
    COPY-PASTE FIX
    # ChatMock: An OpenAI & Ollama Compatible Mock API for Codex Development & Testing

**ChatMock provides a local, mock API server that emulates OpenAI and Ollama endpoints, specifically designed for integrating and testing applications with Codex.**
  • mediumtopics#2
    Refine repository topics to emphasize mocking and testing

    Why:

    CURRENT
    ai, chatgpt, codex, gpt-5, ollama, openai, openai-codex-cli, openai-codex-intergration
    COPY-PASTE FIX
    ai, chatgpt, codex, ollama, openai, mocking, api-mocking, testing, llm-development
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/RayBytes/ChatMock

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 RayBytes/ChatMock
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. Ollama · recommended 2×
  3. LocalAI · recommended 2×
  4. vLLM · recommended 2×
  5. FastChat · recommended 1×
  • CATEGORY QUERY
    How can I make my local language models work with tools expecting an OpenAI API?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. Ollama
    3. LocalAI
    4. vLLM
    5. FastChat
    6. text-generation-webui
    7. LangChain

    AI recommended 7 alternatives but never named RayBytes/ChatMock. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to run open-source code generation models locally with an OpenAI-compatible interface?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. text-generation-webui (oobabooga/text-generation-webui)
    5. vLLM
    6. LiteLLM

    AI recommended 6 alternatives but never named RayBytes/ChatMock. 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 RayBytes/ChatMock?
    pass
    AI named RayBytes/ChatMock explicitly

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

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

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

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RayBytes/ChatMock — 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