RRepoGEO

REPOGEO REPORT · LITE

openai/openai-structured-outputs-samples

Default branch main · commit 7f4e3446 · scanned 6/6/2026, 2:53:01 PM

GitHub: 674 stars · 76 forks

AI VISIBILITY SCORE
22 /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
1 / 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 openai/openai-structured-outputs-samples, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to emphasize official sample apps and NextJS

    Why:

    CURRENT
    Structured Outputs is an OpenAI API feature that ensures responses and tool calls adhere to a defined JSON schema. This makes building with our models more reliable, bridging the gap between unpredictable model outputs and deterministic workflows. This repository contains a collection of sample apps showcasing the use of Structured Outputs. Each app demonstrates practical ways to leverage this feature to build applications with NextJS.
    COPY-PASTE FIX
    This repository contains **official OpenAI sample applications** demonstrating how to use the Structured Outputs API feature. Structured Outputs ensures responses and tool calls adhere to a defined JSON schema, making model outputs more reliable. Each app showcases practical ways to leverage this feature to build applications, primarily using **NextJS**.
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://platform.openai.com/docs/guides/structured-outputs

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 openai/openai-structured-outputs-samples
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ajv
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ajv · recommended 2×
  2. Pydantic · recommended 1×
  3. Instructor · recommended 1×
  4. jsonschema · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How can I ensure AI model responses always conform to a specific JSON schema?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. Instructor
    3. jsonschema
    4. ajv
    5. LangChain
    6. Guardrails AI
    7. OpenAI Function Calling

    AI recommended 7 alternatives but never named openai/openai-structured-outputs-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for examples to integrate AI model output validation with a web frontend framework.
    you: not recommended
    AI recommended (in order):
    1. React
    2. Zod
    3. React Hook Form
    4. @hookform/resolvers/zod
    5. Vue.js
    6. Vuelidate
    7. Yup
    8. Angular
    9. Reactive Forms
    10. ajv
    11. Svelte
    12. Superforms
    13. SvelteKit
    14. Next.js
    15. HTMX
    16. Django Forms
    17. Flask-WTF
    18. Rails Active Model Validations
    19. Django REST Framework

    AI recommended 19 alternatives but never named openai/openai-structured-outputs-samples. 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 openai/openai-structured-outputs-samples?
    pass
    AI did not name openai/openai-structured-outputs-samples — 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?

  • If a team adopts openai/openai-structured-outputs-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-structured-outputs-samples 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 openai/openai-structured-outputs-samples solve, and who is the primary audience?
    pass
    AI did not name openai/openai-structured-outputs-samples — 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?

Embed your GEO score

Drop this badge into the README of openai/openai-structured-outputs-samples. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/openai/openai-structured-outputs-samples.svg)](https://repogeo.com/en/r/openai/openai-structured-outputs-samples)
HTML
<a href="https://repogeo.com/en/r/openai/openai-structured-outputs-samples"><img src="https://repogeo.com/badge/openai/openai-structured-outputs-samples.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

openai/openai-structured-outputs-samples — 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