RRepoGEO

REPOGEO REPORT · LITE

dograh-hq/dograh

Default branch main · commit b891091e · scanned 5/28/2026, 5:01:44 AM

GitHub: 3,448 stars · 731 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 dograh-hq/dograh, 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 the README H1 to explicitly state the core offering

    Why:

    CURRENT
    # Dograh AI
    COPY-PASTE FIX
    # Dograh AI: Open Source Voice AI Platform & Vapi/Retell Alternative
  • mediumreadme#2
    Add a concise summary sentence to the 'Dograh vs Vapi vs Retell' section

    Why:

    CURRENT
    ## ⚖️ Dograh vs Vapi vs Retell
    COPY-PASTE FIX
    ## ⚖️ Dograh vs Vapi vs Retell
    
    Dograh stands out as the only fully open-source, self-hostable voice AI platform offering a visual workflow builder, BYOK, and comprehensive telephony support, unlike proprietary alternatives like Vapi and Retell.
  • lowreadme#3
    Make the homepage link in the README explicit text

    Why:

    CURRENT
    <a href="https://app.dograh.com"></a>
    COPY-PASTE FIX
    [🚀 Launch Dograh App](https://app.dograh.com)

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 dograh-hq/dograh
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa Open Source
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa Open Source · recommended 2×
  2. OpenVoiceOS · recommended 2×
  3. Mycroft AI · recommended 1×
  4. Mozilla DeepSpeech · recommended 1×
  5. Coqui TTS · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source, self-hosted platform to build conversational voice agents.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Mycroft AI
    3. Mozilla DeepSpeech
    4. Coqui TTS
    5. OpenVoiceOS
    6. Rhasspy

    AI recommended 6 alternatives but never named dograh-hq/dograh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an on-premise voice AI platform with a visual workflow builder for custom agents.
    you: not recommended
    AI recommended (in order):
    1. Nuance Mix
    2. Rasa Open Source
    3. Rasa X
    4. Cognigy.AI
    5. Speechmatics
    6. Camunda Platform
    7. Voicegain
    8. OpenVoiceOS

    AI recommended 8 alternatives but never named dograh-hq/dograh. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 dograh-hq/dograh?
    pass
    AI named dograh-hq/dograh explicitly

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

  • If a team adopts dograh-hq/dograh in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dograh-hq/dograh 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 dograh-hq/dograh solve, and who is the primary audience?
    pass
    AI named dograh-hq/dograh 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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MARKDOWN (README)
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dograh-hq/dograh — 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