RRepoGEO

REPOGEO REPORT · LITE

cbh123/narrator

Default branch main · commit 20c656c6 · scanned 6/25/2026, 3:28:27 PM

GitHub: 4,423 stars · 540 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 cbh123/narrator, 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 to highlight real-time AI narration application

    Why:

    CURRENT
    The current README immediately jumps from the catchy title to "Want to make your own AI app?" and setup instructions, without clearly defining the project's scope or unique features.
    COPY-PASTE FIX
    Add a clear, concise paragraph after the H1 that explains what the project *is* and *does* in terms of real-time webcam-driven AI narration, before diving into setup. For example: "This project is a fun, real-time AI application that uses your webcam feed to generate dynamic, Attenborough-style narration of your life. It combines computer vision with advanced text-to-speech to create an immersive, interactive experience."
  • hightopics#2
    Add relevant topics for AI categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai, real-time, narration, text-to-speech, computer-vision, webcam, elevenlabs, openai, replicate
  • mediumlicense#3
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intentions for the project.

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 cbh123/narrator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 3×
  2. Google Cloud Vision AI · recommended 2×
  3. OpenCV · recommended 2×
  4. NVIDIA DeepStream SDK · recommended 1×
  5. NVIDIA Riva · recommended 1×
  • CATEGORY QUERY
    How can I build an AI application that provides real-time audio narration for live video?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DeepStream SDK
    2. NVIDIA Riva
    3. Google Cloud Platform
    4. Google Cloud Vision AI
    5. Google Cloud Text-to-Speech
    6. AWS Rekognition Video
    7. Amazon Polly
    8. OpenCV
    9. PyTorch
    10. TensorFlow
    11. Google Cloud Text-to-Speech

    AI recommended 11 alternatives but never named cbh123/narrator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for generating dynamic voiceovers from live camera feeds using AI?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. AWS Rekognition
    3. OpenCV
    4. YOLO (You Only Look Once)
    5. OpenAI GPT-4o
    6. GPT-4
    7. Anthropic Claude 3 Opus
    8. Sonnet
    9. Google Gemini (Pro/Ultra)
    10. ElevenLabs
    11. Google Cloud Text-to-Speech
    12. AWS Polly
    13. Microsoft Azure AI Speech (Text-to-Speech)
    14. Python
    15. FastAPI
    16. Flask
    17. Node.js
    18. Express
    19. Apache Kafka
    20. RabbitMQ

    AI recommended 20 alternatives but never named cbh123/narrator. 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 cbh123/narrator?
    pass
    AI named cbh123/narrator explicitly

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

  • If a team adopts cbh123/narrator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cbh123/narrator 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 cbh123/narrator solve, and who is the primary audience?
    pass
    AI named cbh123/narrator explicitly

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

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cbh123/narrator — 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