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AI VISIBILITY SCOREAS OF 2026-08-02 · ENGAGEMII INDEX
4.3/ 10

0.7 since Jul 2026

#1,624,946 OF 2,698,298 IN TECHNOLOGY

SCORED BY THE SAME PIPELINE AS 54M+ COMPANIES · SIX ON-PAGE SIGNALS + OFF-PAGE AUTHORITYCHECK ANOTHER SITE →THE INDEX →

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AI Visibility Scorecard

zkFuzz Project

zkFuzz Project

Unclaimed

zkfuzz.com · Technology

Borderline visible. AI bots can crawl zkFuzz Project, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.

AI engines read this profile 1 times

Claude

#1,624,946 of 2,698,298 in Technology for AI visibility

4

AEO Visibility

i

Borderline · 4.3/10

25

Muse Index Score

i

AI agent readiness

Basic · 25/100

0

AI Adoption

i

None detected · 0/100

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About zkFuzz Project

from zkfuzz.com

Automated fuzzing framework for ZK circuits. Detected 85+ bugs (59 zero-days) in Circom & Noir. Official page for the IEEE S&P 2026 paper.

Industry · Technology
Last scored · Aug 2, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

3

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

10

Clear headings and answer-style content.

Entity Clarity

4

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

5

Experience, Expertise, Authority, Trust markers.

Technical AEO

6

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

7

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

1

Inbound links from other sites.

Domain Authority

0

Little domain authority yet.

Reference Presence

0

Not in AI knowledge graphs yet.

News & Press

0

No press coverage found yet.

Community

0

No community discussion yet.

Social Mentions

0

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4.3/10, zkFuzz Project is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

What is zkFuzz?

zkFuzz is a novel mutation-based fuzzing framework designed to detect vulnerabilities in Zero-Knowledge (ZK) circuits. It automates the detection of soundness and completeness bugs that traditional static analyzers and formal verification tools often miss.

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Picked for zkFuzz Project: How-To

How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide

The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.

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Source & Attribution

Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/zkfuzz

Cite this score: Engagemii (2026). "AEO Score for zkFuzz Project." Retrieved from https://engagemii.com/aeo/brands/zkfuzz

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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