RRepoGEO

REPOGEO REPORT · LITE

deanxv/genspark2api

Default branch main · commit 99b038b5 · scanned 6/13/2026, 5:27:06 AM

GitHub: 676 stars · 208 forks

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 deanxv/genspark2api, 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 README H1 and add a clear English summary

    Why:

    CURRENT
    # Genspark2API

_觉得有点意思的话 别忘了点个 ⭐_
    COPY-PASTE FIX
    # Genspark2API

Genspark2API provides a unified API gateway for various large language models (LLMs) and generative AI services, designed to bypass anti-bot measures like ReCaptchaV3 and offer consistent access to diverse AI capabilities.

_觉得有点意思的话 别忘了点个 ⭐_
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, generative-ai, api-gateway, anti-bot, recaptcha, proxy, chatgpt, claude, gemini, image-generation, video-generation
  • mediumabout#3
    Add a concise English description to the 'About' section

    Why:

    COPY-PASTE FIX
    A unified API gateway for multiple large language models and generative AI services, featuring anti-bot measure bypass (e.g., ReCaptchaV3), multi-model support (ChatGPT, Claude, Gemini), and capabilities for chat, image, and video generation.

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 deanxv/genspark2api
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. langchain-ai/langchain · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Anthropic API · recommended 1×
  • CATEGORY QUERY
    Seeking a unified API solution to integrate various large language models and generative AI capabilities.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain (langchain-ai/langchain)
    3. Hugging Face Transformers (huggingface/transformers)
    4. Google Cloud Vertex AI
    5. Anthropic API
    6. Azure OpenAI Service

    AI recommended 6 alternatives but never named deanxv/genspark2api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best methods for reliably accessing AI model APIs despite anti-bot measures and rate limits?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python Library (openai/openai-python)
    2. google-cloud-aiplatform (googleapis/python-aiplatform)
    3. Anthropic Python SDK (anthropics/anthropic-sdk-python)
    4. httpx (encode/httpx)
    5. tenacity (jd/tenacity)
    6. axios (axios/axios)
    7. axios-retry (softonic/axios-retry)
    8. Go-Retryablehttp (hashicorp/go-retryablehttp)
    9. NGINX (nginx/nginx)
    10. Kong Gateway (Kong/kong)
    11. AWS API Gateway
    12. Azure API Management
    13. Redis (redis/redis)
    14. Google Cloud Memorystore for Redis
    15. AWS ElastiCache for Redis
    16. ratelimit.js
    17. python-ratelimit (tomasbasham/python-ratelimit)
    18. Apache Kafka (apache/kafka)
    19. RabbitMQ (rabbitmq/rabbitmq-server)
    20. AWS SQS
    21. Google Cloud Pub/Sub
    22. Bright Data
    23. Oxylabs
    24. Smartproxy
    25. Vellum
    26. Portkey.ai (Portkey-AI/gateway)

    AI recommended 26 alternatives but never named deanxv/genspark2api. 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 deanxv/genspark2api?
    pass
    AI named deanxv/genspark2api explicitly

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

  • If a team adopts deanxv/genspark2api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deanxv/genspark2api 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 deanxv/genspark2api solve, and who is the primary audience?
    pass
    AI named deanxv/genspark2api explicitly

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

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deanxv/genspark2api — 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