RRepoGEO

REPOGEO REPORT · LITE

enesozturk/json-data-ai-template

Default branch main · commit e56347b2 · scanned 6/3/2026, 7:08:25 PM

GitHub: 560 stars · 37 forks

AI VISIBILITY SCORE
33 /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
2 / 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 enesozturk/json-data-ai-template, 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 paragraph to emphasize "Next.js template for structured JSON generation"

    Why:

    CURRENT
    # JSON Data AI

Get JSON data about anything depending on your prompt. Define your structure, list results.
    COPY-PASTE FIX
    # JSON Data AI: Next.js Template for Structured JSON Generation

This repository provides a production-ready Next.js template using the Vercel AI SDK to generate structured JSON data from natural language prompts. Define your desired JSON structure and get AI-powered results instantly.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, json
    COPY-PASTE FIX
    ai, json, nextjs, vercel-ai-sdk, structured-data, llm-applications, ai-template, prompt-engineering
  • mediumreadme#3
    Add a prominent link to the live demo/project site in the README

    Why:

    COPY-PASTE FIX
    ✨ See it in action: [JSONDataAI.com](https://www.jsondataai.com/)

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 enesozturk/json-data-ai-template
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5 Turbo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
  2. Anthropic Claude · recommended 1×
  3. Google Gemini · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to generate structured JSON data from natural language prompts using AI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5 Turbo
    2. Anthropic Claude
    3. Google Gemini
    4. LlamaIndex (run-llama/llama_index)
    5. LangChain (langchain-ai/langchain)
    6. Mistral AI
    7. Llama 2 (facebookresearch/llama)
    8. Mixtral (mistralai/mistral-src)
    9. Command R
    10. ollama (ollama/ollama)
    11. transformers library (huggingface/transformers)

    AI recommended 11 alternatives but never named enesozturk/json-data-ai-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Next.js template for building AI applications that output structured data.
    you: not recommended
    AI recommended (in order):
    1. Vercel AI SDK
    2. OpenAI
    3. LangChain
    4. Zod
    5. Anthropic
    6. Hugging Face
    7. Taxonomy
    8. shadcn/ui
    9. NextAuth.js
    10. Prisma
    11. Next.js AI Chatbot
    12. T3 Stack
    13. tRPC
    14. TailwindCSS
    15. create-t3-app
    16. TypeBox

    AI recommended 16 alternatives but never named enesozturk/json-data-ai-template. 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 enesozturk/json-data-ai-template?
    pass
    AI named enesozturk/json-data-ai-template explicitly

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

  • If a team adopts enesozturk/json-data-ai-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named enesozturk/json-data-ai-template 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 enesozturk/json-data-ai-template solve, and who is the primary audience?
    pass
    AI did not name enesozturk/json-data-ai-template — likely talking about a different project

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

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enesozturk/json-data-ai-template — 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