RRepoGEO

REPOGEO REPORT · LITE

ianarawjo/ChainForge

Default branch main · commit 2aabc386 · scanned 6/25/2026, 9:01:58 AM

GitHub: 3,000 stars · 256 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)

3 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 ianarawjo/ChainForge, 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 more specific topics for visual comparison and systematic evaluation

    Why:

    CURRENT
    ai, evaluation, large-language-models, llmops, llms, prompt-engineering
    COPY-PASTE FIX
    ai, evaluation, large-language-models, llmops, llms, prompt-engineering, prompt-comparison, llm-benchmarking, visual-programming, dataflow-programming
  • mediumreadme#2
    Elevate the mention of extensive example flows in the README

    Why:

    CURRENT
    ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals.
    COPY-PASTE FIX
    Integrate the sentence 'ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals.' into the introductory section of the README, ideally right after the initial bulleted list of features.
  • lowabout#3
    Refine the GitHub 'About' description to emphasize comparison and evaluation

    Why:

    CURRENT
    An open-source visual programming environment for battle-testing prompts to LLMs.
    COPY-PASTE FIX
    An open-source visual programming environment for systematically comparing, evaluating, and battle-testing prompts to LLMs.

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 ianarawjo/ChainForge
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases (W&B) Prompts
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases (W&B) Prompts · recommended 2×
  2. Argilla · recommended 1×
  3. Humanloop · recommended 1×
  4. LangChain Playground · recommended 1×
  5. LangSmith · recommended 1×
  • CATEGORY QUERY
    How to visually compare LLM prompt variations and model responses for quality?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B) Prompts
    2. Argilla
    3. Humanloop
    4. LangChain Playground
    5. LangSmith
    6. Gradio
    7. Streamlit
    8. Jupyter Notebooks
    9. Google Colab
    10. ipywidgets

    AI recommended 10 alternatives but never named ianarawjo/ChainForge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for systematic LLM prompt engineering and response evaluation?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B) Prompts

    AI recommended 1 alternative but never named ianarawjo/ChainForge. 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 ianarawjo/ChainForge?
    pass
    AI named ianarawjo/ChainForge explicitly

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

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

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

Embed your GEO score

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ianarawjo/ChainForge — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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ianarawjo/ChainForge — RepoGEO report