RRepoGEO

REPOGEO REPORT · LITE

theroyallab/tabbyAPI

Default branch main · commit fef811d4 · scanned 5/23/2026, 8:42:54 AM

GitHub: 1,222 stars · 155 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 theroyallab/tabbyAPI, 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
  • highreadme#1
    Clarify README's opening to differentiate from TabbyML coding assistant

    Why:

    CURRENT
    A FastAPI based application that allows for generating text using an LLM (large language model) using the Exllamav2 and Exllamav3 backends.

TabbyAPI is also the official API backend server for ExllamaV2 and V3.
    COPY-PASTE FIX
    TabbyAPI is a FastAPI-based application providing an OpenAI-compatible API server for generating text with ExllamaV2 and ExllamaV3 large language models. **It is not the TabbyML coding assistant.** TabbyAPI is the official API backend server for ExllamaV2 and V3.
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://theroyallab.github.io/tabbyAPI

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 theroyallab/tabbyAPI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
vLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. vLLM · recommended 2×
  2. Ollama · recommended 1×
  3. LocalAI · recommended 1×
  4. text-generation-inference (TGI) by Hugging Face · recommended 1×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    Looking for an OpenAI-compatible API server to host local large language models.
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. vLLM
    3. LocalAI
    4. text-generation-inference (TGI) by Hugging Face
    5. LM Studio
    6. FastChat

    AI recommended 6 alternatives but never named theroyallab/tabbyAPI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are fast, lightweight options for serving ExllamaV2/V3 models via an API?
    you: not recommended
    AI recommended (in order):
    1. vLLM
    2. TGI (Text Generation Inference)
    3. ExLlamaV2
    4. FastAPI
    5. Flask
    6. LiteLLM
    7. Triton Inference Server

    AI recommended 7 alternatives but never named theroyallab/tabbyAPI. 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 theroyallab/tabbyAPI?
    pass
    AI named theroyallab/tabbyAPI explicitly

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

  • If a team adopts theroyallab/tabbyAPI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named theroyallab/tabbyAPI 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 theroyallab/tabbyAPI solve, and who is the primary audience?
    pass
    AI did not name theroyallab/tabbyAPI — 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?

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theroyallab/tabbyAPI — 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