RRepoGEO

REPOGEO REPORT · LITE

openai/openai-assistants-quickstart

Default branch main · commit 06fc2d44 · scanned 6/19/2026, 6:22:48 PM

GitHub: 1,963 stars · 576 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
28 /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
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 openai/openai-assistants-quickstart, 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
    openai-assistants-api, nextjs, quickstart, template, conversational-ai, ai-agents, full-stack, example, openai
  • highreadme#2
    Clarify the README's opening to emphasize its official template nature

    Why:

    CURRENT
    # OpenAI Assistants API Quickstart

A quick-start template using the OpenAI Assistants API with Next.js.
    COPY-PASTE FIX
    # Official OpenAI Assistants API Quickstart Template

This is the official quickstart template from OpenAI, designed to help developers rapidly integrate and build full-stack applications using the OpenAI Assistants API with Next.js. It demonstrates streaming, tool use (code interpreter, file search), and function calling.
  • mediumreadme#3
    Add a 'Why this Quickstart?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why this Quickstart?

This project serves as an official, full-stack (Next.js) quickstart directly from OpenAI, specifically designed to demonstrate the OpenAI Assistants API with best practices. Unlike many backend-only or community-driven alternatives, it offers a complete, runnable example showcasing streaming, tool use (code interpreter and file search), and function calling in a production-ready structure.

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-assistants-quickstart
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Dialogflow CX
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Dialogflow CX · recommended 1×
  2. Microsoft Azure Bot Service · recommended 1×
  3. Azure OpenAI Service · recommended 1×
  4. Rasa · recommended 1×
  5. Amazon Lex · recommended 1×
  • CATEGORY QUERY
    How to quickly integrate conversational AI features into a modern web application?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow CX
    2. Microsoft Azure Bot Service
    3. Azure OpenAI Service
    4. Rasa
    5. Amazon Lex
    6. OpenAI API
    7. Twilio Autopilot
    8. Botpress

    AI recommended 8 alternatives but never named openai/openai-assistants-quickstart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps build interactive AI agents with file search and code execution?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI

    AI recommended 5 alternatives but never named openai/openai-assistants-quickstart. 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-assistants-quickstart?
    pass
    AI did not name openai/openai-assistants-quickstart — 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-assistants-quickstart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-assistants-quickstart 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-assistants-quickstart solve, and who is the primary audience?
    pass
    AI named openai/openai-assistants-quickstart explicitly

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

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openai/openai-assistants-quickstart — RepoGEO report