RRepoGEO

REPOGEO REPORT · LITE

Bytez-com/docs

Default branch main · commit 80f8bcfe · scanned 5/9/2026, 9:22:28 AM

GitHub: 1,913 stars · 15 forks

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 Bytez-com/docs, 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 the README's opening to emphasize the serverless API platform

    Why:

    CURRENT
    Welcome to Bytez. We make it easy to discover and understand AI papers and deploy AI models. All in one place.
    COPY-PASTE FIX
    Welcome to Bytez, the unified platform for AI models and papers. Bytez provides the largest serverless Model Inference API on the internet, offering access to 220,000+ AI models with a single API key, making it easy to discover, deploy, and build with AI.
  • highlicense#2
    Add a standard open-source license file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.
  • mediumtopics#3
    Refine repository topics to include more specific API platform terms and correct typos

    Why:

    CURRENT
    api, bytez, deepseek, llama3, llms, mistral, multimodla, opensource, phi4, serverless
    COPY-PASTE FIX
    api, bytez, deepseek, inference-api, llama3, llms, mistral, multimodal, model-inference, opensource, phi4, serverless, ai-platform

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 Bytez-com/docs
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Anthropic API · recommended 2×
  3. Google Cloud Vertex AI · recommended 2×
  4. Hugging Face Inference API · recommended 2×
  5. AWS Bedrock · recommended 2×
  • CATEGORY QUERY
    How can I access a wide range of AI models via a simple, serverless API?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic API
    3. Google Cloud Vertex AI
    4. Hugging Face Inference API
    5. Replicate
    6. AWS Bedrock

    AI recommended 6 alternatives but never named Bytez-com/docs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a single API to integrate many different AI models, including LLMs, without infrastructure.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure AI Studio / Azure OpenAI Service
    3. Google Cloud Vertex AI
    4. Hugging Face Inference API
    5. AWS Bedrock
    6. Cohere API
    7. Anthropic API

    AI recommended 7 alternatives but never named Bytez-com/docs. 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 Bytez-com/docs?
    pass
    AI named Bytez-com/docs explicitly

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

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

    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 Bytez-com/docs. 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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MARKDOWN (README)
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HTML
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Bytez-com/docs — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite