RRepoGEO

REPOGEO REPORT · LITE

susiai/susi_api

Default branch master · commit 82b2a182 · scanned 6/10/2026, 6:12:51 PM

GitHub: 957 stars · 1 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 susiai/susi_api, 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
  • highabout#1
    Add a concise About description for better categorization

    Why:

    COPY-PASTE FIX
    A proxy-like API to unify access to various AI models (text, audio, image, video), including a drop-in replacement for OpenAI API endpoints, designed for self-hosting.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.

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 susiai/susi_api
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. Hugging Face Inference API · recommended 1×
  4. Azure AI Services · recommended 1×
  5. Cohere API · recommended 1×
  • CATEGORY QUERY
    How can I integrate various AI models for text, image, and audio via a unified API?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Hugging Face Inference API
    4. Azure AI Services
    5. Cohere API
    6. Replicate
    7. LangChain

    AI recommended 7 alternatives but never named susiai/susi_api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source alternative to OpenAI API for self-hosting diverse AI capabilities.
    you: not recommended
    AI recommended (in order):
    1. LocalAI
    2. Ollama
    3. text-generation-webui
    4. Hugging Face Transformers library
    5. Text Generation Inference
    6. MLflow
    7. FastAPI
    8. Triton Inference Server

    AI recommended 8 alternatives but never named susiai/susi_api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 susiai/susi_api?
    pass
    AI named susiai/susi_api explicitly

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

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

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

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susiai/susi_api — 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