RRepoGEO

REPOGEO REPORT · LITE

jx-sec/jxwaf

Default branch master · commit 5490c6a1 · scanned 5/25/2026, 1:47:04 PM

GitHub: 1,207 stars · 267 forks

AI VISIBILITY SCORE
33 /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
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 jx-sec/jxwaf, 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 H1 to explicitly state 'AI-driven Web Application Firewall'

    Why:

    CURRENT
    # JXWAF安全模型服务
    COPY-PASTE FIX
    # JXWAF: 基于AI大模型的Web应用防火墙 (AI-driven Web Application Firewall)
  • mediumcomparison#2
    Add a dedicated comparison section in README

    Why:

    COPY-PASTE FIX
    Add a new section titled '与传统WAF及云WAF对比 (Comparison with Traditional and Cloud WAFs)' detailing how JXWAF's AI-driven approach differs from and offers advantages over rule-based WAFs (e.g., ModSecurity, OWASP CRS) and commercial cloud services (e.g., AWS WAF), focusing on aspects like open-source nature, self-hostability, and AI model capabilities.
  • lowreadme#3
    Enhance README introduction with core technology stack

    Why:

    CURRENT
    基于多维稀疏注意力机制的大模型语义缓存系统，通过在线蒸馏获得大模型的安全检测能力，实现**高并发、低成本、低幻觉**的安全模型服务。
    COPY-PASTE FIX
    JXWAF是一款基于AI大模型的Web应用防火墙，构建于高性能的Nginx/OpenResty (Lua) 平台之上。它利用多维稀疏注意力机制的大模型语义缓存系统，通过在线蒸馏获得大模型的安全检测能力，实现**高并发、低成本、低幻觉**的安全模型服务。

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 jx-sec/jxwaf
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scikit-learn/scikit-learn
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. scikit-learn/scikit-learn · recommended 2×
  2. AWS WAF · recommended 2×
  3. owasp-modsecurity/ModSecurity · recommended 1×
  4. OWASP/crs · recommended 1×
  5. ELK Stack · recommended 1×
  • CATEGORY QUERY
    How to implement an AI-driven web application firewall for detecting common web exploits?
    you: not recommended
    AI recommended (in order):
    1. ModSecurity (owasp-modsecurity/ModSecurity)
    2. OWASP CRS (OWASP/crs)
    3. ELK Stack
    4. Elasticsearch (elastic/elasticsearch)
    5. Logstash (elastic/logstash)
    6. Kibana (elastic/kibana)
    7. OWASP ZAP (zaproxy/zaproxy)
    8. Burp Suite
    9. Python
    10. Scikit-learn (scikit-learn/scikit-learn)
    11. Pandas (pandas-dev/pandas)
    12. NLTK (nltk/nltk)
    13. SpaCy (explosion/spaCy)
    14. Scikit-learn (scikit-learn/scikit-learn)
    15. XGBoost (dmlc/xgboost)
    16. LightGBM (microsoft/LightGBM)
    17. TensorFlow (tensorflow/tensorflow)
    18. Keras (keras-team/keras)
    19. PyTorch (pytorch/pytorch)
    20. NGINX (nginx/nginx)
    21. OpenResty (openresty/openresty)
    22. NGINX Plus
    23. Envoy Proxy (envoyproxy/envoy)
    24. gRPC (grpc/grpc)
    25. Flask (pallets/flask)
    26. FastAPI (tiangolo/fastapi)
    27. AWS WAF
    28. Azure Front Door
    29. Google Cloud Armor
    30. Prometheus (prometheus/prometheus)
    31. Grafana (grafana/grafana)
    32. MLflow (mlflow/mlflow)

    AI recommended 32 alternatives but never named jx-sec/jxwaf. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a performant web attack detection API to secure web applications against common threats.
    you: not recommended
    AI recommended (in order):
    1. Cloudflare WAF
    2. AWS WAF
    3. Akamai Kona Site Defender
    4. Imperva WAF
    5. Fastly WAF
    6. F5 Advanced WAF
    7. Sucuri Website Firewall

    AI recommended 7 alternatives but never named jx-sec/jxwaf. 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 jx-sec/jxwaf?
    pass
    AI did not name jx-sec/jxwaf — 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 jx-sec/jxwaf in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jx-sec/jxwaf 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 jx-sec/jxwaf solve, and who is the primary audience?
    pass
    AI named jx-sec/jxwaf 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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jx-sec/jxwaf — 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