RRepoGEO

REPOGEO REPORT · LITE

salute-developers/GigaAM

Default branch main · commit 6e4b027c · scanned 6/1/2026, 11:37:27 PM

GitHub: 597 stars · 88 forks

AI VISIBILITY SCORE
35 /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
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 salute-developers/GigaAM, 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
    Explicitly state production readiness in the README

    Why:

    COPY-PASTE FIX
    Add a sentence immediately after the H1: 'GigaAM is a robust, production-ready family of acoustic models designed for high-performance speech processing tasks, offering significant WER reduction and advanced features for end-to-end transcription.'
  • highreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## GigaAM vs. Other Foundational Models'. In this section, explicitly compare GigaAM to competitors like OpenAI Whisper, Meta SeamlessM4T, and NVIDIA NeMo, highlighting its strengths (e.g., 'SoTA Speech Recognition model for the Russian language', '30% WER reduction', '70:30 win in Side-by-Side vs Whisper-large-v3').
  • mediumhomepage#3
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/ai-sage/GigaAM-v3

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 salute-developers/GigaAM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. facebookresearch/seamless_communication · recommended 1×
  3. NVIDIA/NeMo · recommended 1×
  4. mozilla/DeepSpeech · recommended 1×
  5. espnet/espnet · recommended 1×
  • CATEGORY QUERY
    What open-source foundational models are available for high-accuracy end-to-end speech transcription?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Whisper (openai/whisper)
    2. Meta SeamlessM4T (facebookresearch/seamless_communication)
    3. NVIDIA NeMo (NVIDIA/NeMo)
    4. Mozilla DeepSpeech (mozilla/DeepSpeech)
    5. ESPnet (espnet/espnet)

    AI recommended 5 alternatives but never named salute-developers/GigaAM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for the best performing acoustic models for long-form speech recognition, especially for Russian.
    you: not recommended
    AI recommended (in order):
    1. Yandex SpeechKit
    2. Google Cloud Speech-to-Text
    3. DeepSpeech (Mozilla)
    4. AssemblyAI
    5. Whisper (OpenAI)

    AI recommended 5 alternatives but never named salute-developers/GigaAM. 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 salute-developers/GigaAM?
    pass
    AI named salute-developers/GigaAM explicitly

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

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

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

Embed your GEO score

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salute-developers/GigaAM — 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