AI visibility score
3.8/ 10Weak

▼ 0.2 since Jul 2026

#1,975,766 of 2,707,520 in Technology

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

AI Visibility Scorecard

LugCalc

LugCalc

Unclaimed

lugcalc.com · Technology

Borderline visible. AI bots can crawl LugCalc, 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

#1,975,766 of 2,707,520 in Technology for AI visibility

4

AEO Visibility

i

Near-invisible · 3.8/10

25

Muse Index Score

i

AI agent readiness

Basic · 25/100

0

AI Adoption

i

None detected · 0/100

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About LugCalc

from our crawl and measurement

LugCalc describes itself simply: "LugCalc is a calculator software tool for lug analysis theory and estimating the static structural strength of pinned lug joints used in mechanical designs." When AI engines look at it, they find little to work with. It scores 3.8 out of 10.

Our crawl found structured data on the page (WebPage, ImageObject, BreadcrumbList), a sitemap and a readable heading structure. It is missing an llms.txt file.

Industry · Technology
Last scored · Aug 8, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Fair

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Good

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Weak

Experience, Expertise, Authority, Trust markers.

Technical AEO

Good

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

AI Discoverability

Fair

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Weak

No inbound links found yet.

Domain Authority

Weak

Little domain authority yet.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Weak

No press coverage found yet.

Community

Weak

No community discussion yet.

Social Mentions

Weak

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 3.8/10, LugCalc is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

What is lug analysis?

LugCalc is a calculator software tool for lug analysis theory and estimating the static structural strength of pinned lug joints used in mechanical designs. Combining material, geometry, and loads, LugCalc will walk you through the analysis steps required to estimate a lug joints static strength. These calculations can be used to asses a joints suitability before full scale testing. LugCalc Screen Shots

What is LugCalc and what is the calculator used for?

LugCalc performs lug analysis calculations based upon the U.S. Air Force published method. LugCalc provides the ability to batch process 1000’s of lug analysis calculations and automate the documentation process. Typical uses of LugCalc include fittings, lifting lugs, actuator ends, and other structural connections. LugCalc operates in both US customary and metric unit systems. Typical Straight Lug

How should I use the analysis results?

Lug analysis methods are estimates based upon historical testing captured in print publications. Two engineers can arrive at different solutions to the same problem using the same data. In mechanical design, lug threshold estimates are considered a starting point. All designs, especially safety critical designs, should be verified and validated via other methods and physical testing before use. Please

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Picked for LugCalc: 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 8, 2026. Methodology: engagemii.com/aeo/methodology

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

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

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

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