RRepoGEO

REPOGEO REPORT · LITE

mnfst/awesome-free-llm-apis

Default branch main · commit ea1f9439 · scanned 5/26/2026, 11:32:39 AM

GitHub: 4,565 stars · 439 forks

AI VISIBILITY SCORE
22 /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
1 / 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 mnfst/awesome-free-llm-apis, 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 opening to clarify it's a curated list

    Why:

    CURRENT
    <p align="center">LLM APIs with permanent free tiers for text inference.</p>
    COPY-PASTE FIX
    <p align="center">A curated list of LLM APIs with permanent free tiers for text inference.</p>
  • mediumhomepage#2
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/mnfst/awesome-free-llm-apis
  • lowtopics#3
    Add more specific topics to emphasize "free" and "API list"

    Why:

    CURRENT
    ai-agents, anthropic, awesome, awesome-list, gemini, llm, llm-router, llm-routing, ollama, openai, openclaw, openclaw-plugin, router
    COPY-PASTE FIX
    ai-agents, anthropic, awesome, awesome-list, free-llm, free-api, gemini, llm, llm-api, llm-router, llm-routing, ollama, openai, openclaw, openclaw-plugin, router

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 mnfst/awesome-free-llm-apis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Inference API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Inference API · recommended 2×
  2. Google AI Studio · recommended 2×
  3. OpenAI · recommended 2×
  4. Perplexity AI · recommended 2×
  5. Replicate · recommended 1×
  • CATEGORY QUERY
    Where can I find a list of permanently free LLM APIs for text generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Inference API
    2. Google AI Studio
    3. OpenAI
    4. Perplexity AI
    5. Replicate
    6. Ollama
    7. LM Studio
    8. Cohere

    AI recommended 8 alternatives but never named mnfst/awesome-free-llm-apis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some good options for free large language model inference endpoints without a credit card?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Inference API
    2. Perplexity AI
    3. OpenAI
    4. Google AI Studio
    5. Meta Llama 2 (facebookresearch/llama)
    6. Mistral AI (mistralai/mistral-src)

    AI recommended 6 alternatives but never named mnfst/awesome-free-llm-apis. 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 mnfst/awesome-free-llm-apis?
    pass
    AI did not name mnfst/awesome-free-llm-apis — 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 mnfst/awesome-free-llm-apis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mnfst/awesome-free-llm-apis 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 mnfst/awesome-free-llm-apis solve, and who is the primary audience?
    pass
    AI did not name mnfst/awesome-free-llm-apis — 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 mnfst/awesome-free-llm-apis. 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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mnfst/awesome-free-llm-apis — 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