RRepoGEO

REPOGEO REPORT · LITE

mrwadams/stride-gpt

Default branch master · commit 5211c3b2 · scanned 5/22/2026, 11:59:21 AM

GitHub: 1,044 stars · 301 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 mrwadams/stride-gpt, 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's opening sentence to clarify it's a web application

    Why:

    CURRENT
    STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models (LLMs) to generate threat models and attack trees for a given application based on the STRIDE methodology.
    COPY-PASTE FIX
    STRIDE GPT is a user-friendly, AI-powered web application (built with Streamlit) that leverages Large Language Models (LLMs) to generate comprehensive threat models and attack trees for your applications based on the STRIDE methodology.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    threat-modeling, stride, ai, llm, gpt, security, cybersecurity, application-security, streamlit, owasp
  • mediumreadme#3
    Expand and highlight advanced AI features in README

    Why:

    CURRENT
    Agentic AI support**: Specialized threat modeling for agentic AI systems with OWASP Top 10 for Agentic Applications (ASI) integration Generative AI support**: Threat modeling for GenAI applications with OWASP LLM Top 10 integration Architectural pattern detection**: Autom
    COPY-PASTE FIX
    ## Features
    - Simple and user-friendly interface
    - Generates threat models based on the STRIDE methodology
    - **Advanced AI Threat Modeling**: Specialized support for agentic AI systems (with OWASP Top 10 for Agentic Applications integration) and Generative AI applications (with OWASP LLM Top 10 integration), ensuring comprehensive coverage for modern AI architectures.
    - Architectural pattern detection: Automatically identifies common architectural patterns...

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 mrwadams/stride-gpt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OWASP/threat-dragon
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OWASP/threat-dragon · recommended 2×
  2. OpenAI's GPT-4 · recommended 1×
  3. Google's Gemini · recommended 1×
  4. Microsoft Threat Modeling Tool · recommended 1×
  5. Security Copilot · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate threat models for my application using AI?
    you: not recommended
    AI recommended (in order):
    1. OWASP Threat Dragon (OWASP/threat-dragon)
    2. OpenAI's GPT-4
    3. Google's Gemini
    4. Microsoft Threat Modeling Tool
    5. Security Copilot
    6. Vanta
    7. Semgrep (returntocorp/semgrep)
    8. CodeQL (github/codeql)
    9. Palo Alto Networks Cortex XSOAR

    AI recommended 9 alternatives but never named mrwadams/stride-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What LLM-based tools help create STRIDE methodology threat models for applications?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Microsoft Copilot
    3. Google Gemini
    4. OWASP Threat Dragon (OWASP/threat-dragon)
    5. PlexTrac
    6. ThreatModeler

    AI recommended 6 alternatives but never named mrwadams/stride-gpt. 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 mrwadams/stride-gpt?
    pass
    AI did not name mrwadams/stride-gpt — 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 mrwadams/stride-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mrwadams/stride-gpt 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 mrwadams/stride-gpt solve, and who is the primary audience?
    pass
    AI named mrwadams/stride-gpt explicitly

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

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mrwadams/stride-gpt — 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