RRepoGEO

REPOGEO REPORT · LITE

tashfeenahmed/freellmapi

Default branch main · commit 51e8aff4 · scanned 6/21/2026, 11:31:49 PM

GitHub: 11,337 stars · 1,800 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
28 /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
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 tashfeenahmed/freellmapi, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, openai-compatible, api-proxy, llm-gateway, free-tier, ai, routing, failover, large-language-models, developer-tools
  • highreadme#2
    Reposition the README's opening paragraph to emphasize its unique value

    Why:

    CURRENT
    One OpenAI-compatible endpoint. Sixteen free LLM providers. ~1.7B tokens per month. Aggregate the free tiers from Google, Groq, Cerebras, NVIDIA, Mistral, OpenRouter, GitHub Models, Cohere, Cloudflare, HuggingFace, Z.ai (Zhipu), Ollama, Kilo, Pollinations, LLM7, OVH AI Endpoints, and OpenCode Zen — plus any custom OpenAI-compatible endpoint (llama.cpp, LM Studio, vLLM, local Ollama) — behind a single `/v1/chat/completions` endpoint. Keys are stored encrypted. A router picks the best available model for each request, falls over to the next provider when one is rate-limited, and tracks per-key usage so you stay under every free-tier cap.
    COPY-PASTE FIX
    FreeLLMAPI is an OpenAI-compatible proxy and API gateway that aggregates the free tiers of 16+ LLM providers (~1.7B tokens/month) behind a single `/v1/chat/completions` endpoint. Designed for personal experimentation, it offers smart routing, automatic failover, and encrypted key management to maximize your free LLM access.
  • mediumreadme#3
    Add a "Comparison to Alternatives" section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

While tools like LiteLLM and OpenRouter offer unified LLM APIs, FreeLLMAPI uniquely focuses on aggregating *free tiers* from over 16 providers, providing a cost-effective solution for personal experimentation and development without requiring individual API keys or payments. It acts as a smart proxy and API gateway specifically designed to maximize your free monthly token usage through intelligent routing and failover.

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 tashfeenahmed/freellmapi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BerriAI/LiteLLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BerriAI/LiteLLM · recommended 1×
  2. OpenRouter.ai · recommended 1×
  3. tiangolo/fastapi · recommended 1×
  4. langchain-ai/langchain · recommended 1×
  5. pallets/flask · recommended 1×
  • CATEGORY QUERY
    How can I consolidate various free large language model APIs into a single endpoint?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/LiteLLM)
    2. OpenRouter.ai
    3. FastAPI (tiangolo/fastapi)
    4. LangChain (langchain-ai/langchain)
    5. Flask (pallets/flask)
    6. Nginx
    7. Caddy (caddyserver/caddy)
    8. Hugging Face Inference Endpoints

    AI recommended 8 alternatives but never named tashfeenahmed/freellmapi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help manage multiple LLM providers, including smart routing and failover capabilities?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter
    3. Portkey.ai
    4. Helicone.ai
    5. FastAPI
    6. Express
    7. httpx
    8. axios
    9. LangChain

    AI recommended 9 alternatives but never named tashfeenahmed/freellmapi. 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 tashfeenahmed/freellmapi?
    pass
    AI did not name tashfeenahmed/freellmapi — 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 tashfeenahmed/freellmapi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tashfeenahmed/freellmapi 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 tashfeenahmed/freellmapi solve, and who is the primary audience?
    pass
    AI named tashfeenahmed/freellmapi explicitly

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

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tashfeenahmed/freellmapi — 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