RRepoGEO

REPOGEO REPORT · LITE

vercel-labs/tersa

Default branch main · commit 496dd334 · scanned 5/27/2026, 3:52:13 PM

GitHub: 1,001 stars · 172 forks

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 vercel-labs/tersa, 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 the README H1 to specify category

    Why:

    CURRENT
    # Tersa
    COPY-PASTE FIX
    # Tersa: A Visual Canvas for Building AI Workflows
  • hightopics#2
    Expand topics for better category visibility

    Why:

    CURRENT
    ai, aisdk, anthropic, canvas, openai
    COPY-PASTE FIX
    ai, aisdk, anthropic, canvas, openai, workflow, visual-builder, llm, multi-model, prompt-engineering, ai-playground, vercel
  • mediumreadme#3
    Add a 'Why Tersa?' or 'Use Cases' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Tersa?

Tersa is designed for developers and researchers who want a fast, visual way to prototype, test, and compare AI workflows. Unlike complex enterprise platforms, Tersa offers a lightweight, open-source canvas to:

- **Rapidly prototype** AI applications by visually connecting models and logic.
- **Compare performance and cost** across various LLMs and AI providers in real-time.
- **Experiment with prompt engineering** and multi-step AI chains without writing extensive code.
- **Visualize the flow of data** and reasoning in complex AI systems.

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 vercel-labs/tersa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
KNIME Analytics Platform
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. KNIME Analytics Platform · recommended 1×
  2. Google Cloud Vertex AI Workbench · recommended 1×
  3. Azure Machine Learning Studio · recommended 1×
  4. DataRobot · recommended 1×
  5. RapidMiner Studio · recommended 1×
  • CATEGORY QUERY
    Looking for a drag-and-drop tool to visually design and test AI model workflows.
    you: not recommended
    AI recommended (in order):
    1. KNIME Analytics Platform
    2. Google Cloud Vertex AI Workbench
    3. Azure Machine Learning Studio
    4. DataRobot
    5. RapidMiner Studio

    AI recommended 5 alternatives but never named vercel-labs/tersa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I compare different large language models and build multi-provider AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. LiteLLM
    4. OpenAI Evals
    5. Humanloop
    6. Weights & Biases
    7. Vellum

    AI recommended 7 alternatives but never named vercel-labs/tersa. 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 vercel-labs/tersa?
    pass
    AI named vercel-labs/tersa explicitly

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

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