RRepoGEO

REPOGEO REPORT · LITE

dzhng/zod-gpt

Default branch main · commit 9be7db33 · scanned 5/20/2026, 9:12:43 AM

GitHub: 627 stars · 15 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 dzhng/zod-gpt, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, openai, anthropic, zod, json, structured-output, type-safety, validation, auto-healing, function-calling, typescript
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/dzhng/zod-gpt
  • mediumreadme#3
    Strengthen the README's opening paragraph with key differentiators

    Why:

    CURRENT
    Get structured, fully typed, and validated JSON outputs from OpenAI and Anthropic models.
    COPY-PASTE FIX
    Get structured, fully typed, and validated JSON outputs from OpenAI and Anthropic models using Zod schemas, with built-in auto-healing for reliable responses.

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 dzhng/zod-gpt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Function Calling / Tools
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Function Calling / Tools · recommended 1×
  2. jxnl/instructor · recommended 1×
  3. JSON Schema with `response_format={"type": "json_object"}` (OpenAI API) · recommended 1×
  4. guardrails-ai/guardrails · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to reliably get structured, type-safe JSON output from large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling / Tools
    2. Instructor (jxnl/instructor)
    3. JSON Schema with `response_format={"type": "json_object"}` (OpenAI API)
    4. Guardrails AI (guardrails-ai/guardrails)
    5. LangChain with PydanticOutputParser (langchain-ai/langchain)
    6. LlamaIndex with PydanticProgram (run-llama/llama_index)
    7. Custom Prompt Engineering + Client-Side Validation

    AI recommended 7 alternatives but never named dzhng/zod-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to validate and auto-heal LLM JSON responses?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. jsonschema
    3. LangChain
    4. Guardrails AI
    5. Instructor
    6. json.loads
    7. LMQL

    AI recommended 7 alternatives but never named dzhng/zod-gpt. 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 dzhng/zod-gpt?
    pass
    AI named dzhng/zod-gpt explicitly

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

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

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

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dzhng/zod-gpt — 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