RRepoGEO

REPOGEO REPORT · LITE

tailcallhq/forgecode

Default branch main · commit 0e48954e · scanned 6/28/2026, 12:46:57 AM

GitHub: 7,436 stars · 1,451 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 tailcallhq/forgecode, 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's opening paragraph to explicitly state its core function

    Why:

    CURRENT
    <p align="center">A comprehensive coding agent that integrates AI capabilities with your development environment</p>
    COPY-PASTE FIX
    <p align="center">Forge is an AI-enhanced terminal development environment and pair programmer, designed to integrate advanced AI capabilities directly into your command line. It is not a GraphQL code generator or API gateway.</p>
  • hightopics#2
    Expand and refine GitHub topics for better category matching

    Why:

    CURRENT
    ai-pair-programming, ai-workflows, artifical-intelligense, claude-3-7-sonnet, claude-4, claude-4-sonnet, cli-assistant, command-line, grok, llm, multi-agent-reinforcement-learning, open-router, open-source-claude-code, openai, qwen, shell
    COPY-PASTE FIX
    ai-pair-programming, ai-coding-assistant, terminal-development, cli-assistant, command-line, ai-agent, developer-tools, llm-agent, generative-ai, ai-workflows, artifical-intelligense, claude-3-7-sonnet, claude-4, claude-4-sonnet, grok, multi-agent-reinforcement-learning, open-router, open-source-claude-code, openai, qwen, shell
  • mediumreadme#3
    Enhance the 'Why Forge?' section to highlight unique differentiators

    Why:

    COPY-PASTE FIX
    Add the following sentence to the 'Why Forge?' section: 'Unlike many single-model or IDE-bound assistants, Forge offers deep terminal integration and broad multi-model support, acting as a true agentic pair programmer.'

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 tailcallhq/forgecode
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot CLI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot CLI · recommended 1×
  2. withfig/autocomplete · recommended 1×
  3. OpenAI API · recommended 1×
  4. Google Gemini API · recommended 1×
  5. facebookresearch/codellama · recommended 1×
  • CATEGORY QUERY
    How can I use an AI coding assistant directly from my command line?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI (withfig/autocomplete)
    3. OpenAI API
    4. Google Gemini API
    5. Code Llama (facebookresearch/codellama)
    6. Tabnine (tabnine/Tabnine)

    AI recommended 6 alternatives but never named tailcallhq/forgecode. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent to streamline terminal development workflows across various LLM models.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev (continue-dev/continue)
    3. Smol developer (smol-ai/developer)
    4. Open Interpreter (OpenInterpreter/open-interpreter)
    5. Aider (paul-gauthier/aider)
    6. Shell Genie (ashishb/shell-genie)
    7. Ollama (ollama/ollama)

    AI recommended 7 alternatives but never named tailcallhq/forgecode. 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 tailcallhq/forgecode?
    pass
    AI named tailcallhq/forgecode explicitly

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

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