RRepoGEO

REPOGEO REPORT · LITE

orhanerday/open-ai

Default branch main · commit 4ba9c704 · scanned 5/9/2026, 9:27:16 PM

GitHub: 2,365 stars · 295 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 orhanerday/open-ai, 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
    Add a direct, prominent statement about being a PHP SDK to the README's first paragraph

    Why:

    COPY-PASTE FIX
    This is the most downloaded, forked, and community-supported **PHP SDK** for OpenAI GPT-3, DALL-E, and ChatGPT API. It seamlessly integrates with Laravel, Symfony, Yii, Cake PHP, and any other PHP framework, offering features like chatGPT-like streaming.
  • mediumreadme#2
    Add a concise summary sentence to introduce the 'Comparison With Other Packages' section

    Why:

    CURRENT
    Comparison With Other Packages | Project Name | Required PHP Version (Lower is better) | Description
    COPY-PASTE FIX
    Add a sentence like: 'Discover how this SDK stands out as the most mature and community-backed PHP client, offering comprehensive support for GPT-3, DALL-E, and ChatGPT streaming, with seamless integration across major PHP frameworks.' directly above the comparison table.
  • lowreadme#3
    Add a clear link and description for the GitBook documentation in the README

    Why:

    COPY-PASTE FIX
    For comprehensive documentation, advanced usage guides, and API references, please visit our official GitBook: [OpenAI PHP API Documentation](https://orhanerday.gitbook.io/openai-php-api-1/).

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 orhanerday/open-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Google Cloud Vertex AI · recommended 1×
  3. Stability AI API · recommended 1×
  4. Hugging Face Inference API · recommended 1×
  5. AWS Rekognition · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models and image generation into a PHP application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Stability AI API
    4. Hugging Face Inference API
    5. AWS Rekognition
    6. Amazon Bedrock
    7. Midjourney API
    8. Replicate

    AI recommended 8 alternatives but never named orhanerday/open-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a PHP client to stream responses from generative AI models in a web framework.
    you: not recommended
    AI recommended (in order):
    1. OpenAI PHP Client (openai-php/client)
    2. Google Cloud PHP Client (google/cloud)
    3. Guzzle (guzzlehttp/guzzle)
    4. Symfony HTTP Client (symfony/http-client)
    5. PHP-AI (php-ai/php-ai)
    6. PHP-ML (php-ai/php-ml)

    AI recommended 6 alternatives but never named orhanerday/open-ai. 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 orhanerday/open-ai?
    pass
    AI named orhanerday/open-ai explicitly

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

  • If a team adopts orhanerday/open-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named orhanerday/open-ai 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 orhanerday/open-ai solve, and who is the primary audience?
    pass
    AI did not name orhanerday/open-ai — 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 orhanerday/open-ai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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orhanerday/open-ai — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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