AI visibility score
7.2/ 10Good

#4,716 of 2,707,329 in Technology

As of 2026-08-02 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

Anubhav Gain

Anubhav Gain

Unclaimed

mranv.pages.dev · Technology

Well-positioned for AI search. The breakdown below shows where Anubhav Gain is still leaving points on the table.

AI engines read this profile 26 times

Claude · Meta AI · Apple Intelligence

#4,716 of 2,707,329 in Technology for AI visibility

7

AEO Visibility

i

Visible · 7.2/10

50

Muse Index Score

i

AI agent readiness

Agent-ready · 50/100

14

AI Adoption

i

Basic · 14/100

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About Anubhav Gain

from our crawl and measurement

Anubhav Gain describes itself simply: "Security Software Engineer at Infopercept Consulting and CEO at TechAnv Consulting. Builder of Leviathan (Windows kernel-mode EDR/XDR framework in safe Rust), Krustron (open-source." Measured against the twelve signals AI engines rely on, it scores 7.2 out of 10, a strong showing.

Our crawl found structured data on the page (Person, WebSite, BreadcrumbList) and an llms.txt file for AI models. It is missing a sitemap and a heading structure that lays out what it offers.

AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic) and Meta AI.

Industry · Technology
Last scored · Aug 2, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Good

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Weak

Clear headings and answer-style content.

Entity Clarity

Fair

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Good

Experience, Expertise, Authority, Trust markers.

Technical AEO

Strong

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

AI Discoverability

Good

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Strong

Inbound links from other sites.

Domain Authority

Good

Established authority for your domain.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Good

Press and news coverage.

Community

Strong

Forum and community discussion.

Social Mentions

Strong

Social discussion and mentions.

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 7.2/10, Anubhav Gain has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Who is Anubhav Gain?

Anubhav Gain is a Security Software Engineer at Infopercept Consulting and CEO at TechAnv Consulting. He builds production-grade security systems in Rust and Go, including Leviathan (Windows kernel EDR), Krustron (Kubernetes platform), and Agni (Firecracker TUI). He has 222+ research citations.

What open-source projects has Anubhav Gain built?

Anubhav Gain has built: Leviathan (Windows kernel-mode EDR/XDR framework in safe Rust), Krustron (open-source Devtron alternative for Kubernetes), Agni (Firecracker microVM TUI in Go), opensearch-rust-sdk (high-performance OpenSearch SDK for Rust), ebpf-file-monitor (Rust inotify eBPF file monitoring), rshell (Rust bind/reverse shell), and the Status enterprise monitoring platform.

What expertise does Anubhav Gain offer?

Anubhav Gain specializes in DevSecOps, XDR/OXDR Platform Architecture, Windows Kernel Security (Ring 0, KMDF, ELAM), eBPF development, Rust and Go programming, Kubernetes platform engineering, GitOps CI/CD, MITRE ATT&CK mapping, Cloud-Native Security, SIEM/EDR implementation, and OpenSearch SDK development.

What is Leviathan by Anubhav Gain?

Leviathan is a production-grade Windows kernel-mode security framework written entirely in safe Rust using Microsoft's windows-drivers-rs (KMDF v1.33). It implements the full EDR/XDR primitive stack at Ring 0 with five kernel callbacks, MITRE ATT&CK mapping across 16 techniques, pool-tag memory forensics, SSDT/IDT/MSR hook scanning, ELAM support, and zero-copy kernel-to-user telemetry streaming.

What companies does Anubhav Gain work with?

Anubhav Gain works as Security Software Engineer at Infopercept Consulting and is the CEO and Founder of TechAnv Consulting. He also contributes to open-source projects under the anubhavg-icpl GitHub organization.

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Picked for Anubhav Gain: AEO & AI Search

The AEO Checklist Every Small Business Owner Needs Right Now

Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.

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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/mranv-pages-dev

Cite this score: Engagemii (2026). "AEO Score for Anubhav Gain." Retrieved from https://engagemii.com/aeo/brands/mranv-pages-dev

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

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