RRepoGEO

REPOGEO REPORT · LITE

WebFuzzing/EvoMaster

Default branch master · commit 4d5f9946 · scanned 6/1/2026, 9:16:51 AM

GitHub: 742 stars · 114 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 WebFuzzing/EvoMaster, 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
    Refine README H1 to emphasize AI-driven fuzzing

    Why:

    CURRENT
    # EvoMaster: A Tool For Automatically Generating System-Level Test Cases
    COPY-PASTE FIX
    # EvoMaster: AI-Driven Fuzzing for Automated System-Level API Test Case Generation
  • highreadme#2
    Strengthen the README's opening paragraph for clarity on AI-driven fuzzing and regression testing

    Why:

    CURRENT
    _EvoMaster_ (www.evomaster.org) is the first (2016) open-source AI-driven tool that automatically *generates* system-level test cases for web/enterprise applications. This is related to Fuzzing. In particular, _EvoMaster_ can fuzz APIs such as REST, GraphQL and RPC. Not only _EvoMaster_ can generate inputs that find program crashes, but also it generates small effective test suites (e.g., in Python, JavaScript and Java/Kotlin JUnit format) that can be used for _regression testing_.
    COPY-PASTE FIX
    _EvoMaster_ (www.evomaster.org) is the first (2016) open-source AI-driven fuzzer that automatically *generates* system-level test cases for web/enterprise applications, specifically targeting APIs like REST, GraphQL, and RPC. Beyond finding crashes, EvoMaster leverages AI to evolve small, effective test suites (e.g., in Python, JavaScript, Java/Kotlin JUnit) for robust regression testing.
  • mediumhomepage#3
    Add the project homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.evomaster.org

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 WebFuzzing/EvoMaster
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Postman
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Postman · recommended 2×
  2. Evidently AI · recommended 1×
  3. RestAssured · recommended 1×
  4. OpenAI GPT-3/GPT-4 · recommended 1×
  5. Hyperscience · recommended 1×
  • CATEGORY QUERY
    How to automatically generate test cases for web APIs using AI?
    you: not recommended
    AI recommended (in order):
    1. Postman
    2. Evidently AI
    3. RestAssured
    4. OpenAI GPT-3/GPT-4
    5. Hyperscience
    6. Quickwit
    7. Fiddler

    AI recommended 7 alternatives but never named WebFuzzing/EvoMaster. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for automated system-level regression testing of REST, GraphQL, and RPC APIs?
    you: not recommended
    AI recommended (in order):
    1. Postman
    2. Karate DSL (karatelabs/karate)
    3. ReadyAPI
    4. Cypress (cypress-io/cypress)
    5. k6 (grafana/k6)
    6. Playwright (microsoft/playwright)
    7. Rest-Assured (rest-assured/rest-assured)

    AI recommended 7 alternatives but never named WebFuzzing/EvoMaster. 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 WebFuzzing/EvoMaster?
    pass
    AI named WebFuzzing/EvoMaster explicitly

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

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

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

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MARKDOWN (README)
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WebFuzzing/EvoMaster — 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