Artifact

Visibility21

Vibe80

AI Visibility & Sentiment

Artifact

Artifact is a collaborative electrical computer-aided design (ECAD) platform that serves as a single source of truth across design, procurement, and manufacturing. The tool enables engineering teams to design electrical systems, generate harness drawings, and maintain version-controlled documentation in real-time.

Active Monitoring

artifact.engineer

Software Startups

AI Visibility Score

21/100

Low

Sentiment Score

80/100

AI Perception

Summary

Artifact is currently a specialized secret weapon for EV startup leaders, achieving top-tier placement on Claude and Gemini for modern wire harness queries while remaining completely invisible to the broader aerospace and robotics sectors. To move beyond its current score, Artifact must break its silence on ChatGPT and bridge the massive gap between its niche success and the market-wide dominance of legacy players like Altium.

Value Proposition

Remove harnesses from the critical path by enabling parallel design workflows, automated documentation, and electrical verification—delivering 30x faster documentation with full traceability across complex systems

Overview

Mission

Designing robots is hard. Designing harnesses shouldn't be.

Products & Services

Collaborative electrical system design platformAutomated harness drawing generationElectrical rules checking and verificationVersion control and design history trackingBOM and pinout export tools

Agent Breakdown

AI Platforms

How often do different AI platforms reference Artifact?

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Conversation Analysis

Topics

What conversations is Artifact included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Artifact to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Accelerating Wire Harness Documentation(2 queries)

“i'm tired of manually drawing harness schematics, are there tools that automate this?”

0/4 platforms mentioned

ChatGPT

1.Zuken E3.series

2.Siemens Capital

3.Mentor Graphics Capital

4.EPLAN Harness proD

5.Dassault Systèmes

+17 more

Claude

1.Zuken E3.harness

2.Mentor Capital

3.Eplan Electric P8

4.AutoCAD Electrical

5.Solidworks Electrical

+6 more

Gemini

1.E3.schematic

2.Zuken

3.SOLIDWORKS Electrical 3D

4.SOLIDWORKS

5.SOLIDWORKS Electrical 2D

+10 more

AI Overviews

1.RapidHarness

2.Wirely

3.GraphViz

4.Zuken E3.series

5.WireViz

+4 more

“how can i speed up wire harness drawing generation for an aerospace project”

0/4 platforms mentioned

ChatGPT

1.SolidWorks

2.CATIA

3.Creo

4.Zuken E3.series

5.Siemens Capital

+15 more

Claude

1.SolidWorks Electrical

2.Harness MAKER

3.Mentor

4.Siemens

5.Jira

+4 more

Gemini

1.See Electrical

2.EPLAN

3.Capital

4.Siemens Digital Industries Software

5.CATIA Electrical

+10 more

AI Overviews

1.RapidHarness

2.Harness Builder for E3.series

3.ELECTRIX AI 2026

4.Altium

5.Collins Aerospace

+2 more

Hardware Design Collaboration & Version Control(1 query)

“help me find a version control system specifically for electrical engineering teams”

0/3 platforms mentioned

Claude

1.Altium 365

2.Altium Designer

3.Altium

4.Cadence Allegro Enterprise

5.Zuken E3.series

+12 more

Gemini

1.Git LFS

2.Git

3.GitHub

4.GitLab

5.Bitbucket

+9 more

AI Overviews

1.Git

2.AllSpice

3.GitHub

4.InventHub

5.KiCad

+9 more

Modern ECAD Selection & Evaluation(1 query)

“what are the most trusted modern ECAD tools for advanced hardware startups”

0/3 platforms mentioned

Claude

1.Altium Designer

2.Cadence Allegro

3.Mentor Graphics PADS

4.Siemens

5.KiCAD

+8 more

Gemini

1.Altium Designer

2.Cadence

3.OrCAD

4.Allegro

5.Sigrity

+8 more

AI Overviews

1.Altium

2.Altium 365

3.OrCAD X

4.Allegro X

5.KiCad

+5 more

Design Verification & Error Prevention(1 query)

“what software can help with automated electrical rules checking and pinout verification”

0/4 platforms mentioned

ChatGPT

1.Altium Designer

2.Cadence Allegro

3.OrCAD

4.Siemens EDA

5.Xpedition

+25 more

Claude

1.Cadence Allegro Design Constraint Manager

2.Mentor Graphics DxDesigner

3.PADS

4.Altium Designer

5.Zuken CR-8000

+8 more

Gemini

1.Altium Designer

2.Cadence Allegro PCB Designer

3.OrCAD PCB Designer

4.Siemens EDA

5.PADS

+4 more

AI Overviews

1.Altium Designer

2.Cadence

3.OrCAD

4.Allegro

5.Sigrity X

+10 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Dominant #1 positioning on Claude and Gemini when appearing for modern wire harness drawing generation and ECAD selection queries.

Strength

High resonance with the High-Growth EV Startup Lead persona, capturing a 43% mention rate and a perfect average position of 1.0.

Strength

Positive sentiment across all successful mentions, indicating that when AI models do find Artifact, they recommend it as a premium solution.

Gap

Total absence from ChatGPT and Google AI Overviews, which represent the majority of AI search volume for software selection.

Gap

Zero visibility for the 'Agile Robotics Engineering Manager' and 'Compliance-Driven Aerospace Architect' personas, sectors where Zuken and Altium currently hold a monopoly.

Gap

Failure to appear in technical queries regarding hardware version control and automated electrical rules checks, despite these being core product capabilities.

Opportunity

Disrupt the 'Design Verification' category where competitors are frequently mentioned but lack definitive authority on modern automation.

Opportunity

Leverage the brand's success in EV-specific queries to bridge into aerospace by highlighting similar high-complexity wiring needs in technical documentation.

Opportunity

Target OpenAI's training data sets through high-authority GitHub repositories and engineering community platforms where ChatGPT sources its technical hardware advice.

Technical Health

Site Health for AI Visibility

How well Artifact's website is optimized for AI agent discovery and comprehension.

87/100

16 passed 2 warnings 2 issues

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO82

Titles, descriptions, headings

Content Quality60

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG87

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Critical Issues

Page has no H1 heading

Add a single H1 tag as the main page heading.

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

2 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

Title may be truncated in search results (79 characters)

Shorten the title to under 60 characters.

Meta description may be truncated (184 characters)

Shorten to under 160 characters.

Missing Open Graph tags for social sharing

Add og:title, og:description, and og:image meta tags.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

Brand Identity

Brand Voice & Style

How AI perceives Artifact's communication style and personality

Artifact communicates with confident technical authority while remaining accessible to engineering professionals. The voice is direct and solution-oriented, emphasizing efficiency gains and practical benefits without unnecessary jargon. There's an underlying sense of understanding the pain points engineers face—the frustration of harness design bottlenecks—paired with a calm assurance that better tools exist. The brand balances professionalism expected in aerospace and defense with a modern, forward-thinking startup energy.

Core Tone Traits

Technically Confident

Speaks with authority on complex engineering topics without being condescending

Solution-Focused

Leads with outcomes and efficiency gains rather than feature lists

Direct and Clear

Uses concise language that respects engineers' time and intelligence

Empathetically Pragmatic

Acknowledges real-world design challenges while offering practical solutions

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Artifact

Altium Designer31 mentions

Zuken E3.series20 mentions

KiCad20 mentions

SOLIDWORKS Electrical17 mentions

Altium 36517 mentions

Altium16 mentions

Zuken14 mentions

SOLIDWORKS12 mentions

OrCAD12 mentions

RapidHarness11 mentions

Artifact6 mentions

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

RapidHarness | Wiring Harness Software

https://rapidharness.com/

Referenced in 2 queries

Review

Wirely - Wiring Harness Design Software & Tool

https://wirely-harness.com/

Referenced in 1 query

Review

SOLIDWORKS Electrical Schematic: 3D Wiring Design Software

https://www.solidworks.com/product/solidworks-electrical-schematic

Referenced in 1 query

Review

Wire Harness Design and Manufacturing Ecosystem - Zuken US

https://www.zuken.com/us/product/e3series/wire-harness-design-and-manufacturing-ecosystem/

Referenced in 1 query

Review

Wiring Diagram Software | E3.WiringDiagramGenerator | Zuken EN

https://www.zuken.com/en/product/e3series/schematic-wiring-diagram-generator/

Referenced in 1 query

Review

Schematic and Wiring Diagram Generator - Zuken US

https://www.zuken.com/us/product/e3series/electrical-schematic-design/schematic-wiring-diagram-generator/

Referenced in 1 query

Review

HarnWare Software - Wire Harness Design tool | TE Connectivity

https://www.te.com/en/products/wire-protection-and-management/harness-software-harnware.html

Referenced in 1 query

Review

Electronic Schematics Software - Autodesk

https://www.autodesk.com/solutions/electronic-schematics

Referenced in 1 query

Review

Free Cable Drawing Software

https://www.cable-tester.com/free-cable-drawing-software/

Referenced in 1 query

Review

Version control systems for hardware projects? [closed]

https://electronics.stackexchange.com/questions/8767/version-control-systems-for-hardware-projects

Referenced in 1 query

Join Discussion

How hardware engineers do better version control for ... - Reddit

https://www.reddit.com/r/PrintedCircuitBoard/comments/fdjal3/how_hardware_engineers_do_better_version_control/

Referenced in 1 query

Join Discussion

Version Control For a LARGE Team? (100+ People) : r/gamedev

https://www.reddit.com/r/gamedev/comments/1myfc7k/version_control_for_a_large_team_100_people/

Referenced in 1 query

Join Discussion

Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Artifact's resources to help users.

Dominate ChatGPT Visibility Through Technical Content

With 0% visibility on ChatGPT—the primary entry point for software evaluation—Artifact is invisible during critical research moments. This goal focuses on creating comprehensive, authoritative technical content optimized for ChatGPT's training and retrieval patterns, including detailed product comparisons, use case documentation, and problem-solution content that positions Artifact as the go-to ECAD platform when engineers ask AI assistants for recommendations.

Why Legacy ECAD Tools Cost Aerospace Teams 10x More Time Than Necessary

The Complete Guide to Choosing Collaborative Electrical Design Software in 2026

How Real-Time Version Control Eliminates the #1 Harness Design Bottleneck

Artifact vs. Traditional ECAD: A Technical Comparison for Hardware Teams

What Engineering Managers Should Know Before Their Next ECAD Evaluation

Capture Aerospace Market with Compliance Documentation

Breaking beyond startup niche status requires demonstrating aerospace-grade credibility that legacy players like Zuken currently own. This goal establishes Artifact's authority with Aerospace Architects by publishing detailed compliance mapping, certification workflows, and traceability documentation that AI systems will reference when engineers research aerospace-compliant ECAD solutions.

Mapping AS9100 Requirements to Your Electrical Design Documentation Workflow

How Artifact Delivers Full Traceability for DO-254 and DO-178C Compliance

The Aerospace Engineer's Checklist for ECAD Tool Compliance Readiness

Why Traceability Across Design, Procurement, and Manufacturing Matters for Certification

From Prototype to Flight-Ready: Documentation Standards Every Aerospace Team Needs

Own Hardware Version Control Search Visibility

Competitors like Altium and KiCad dominate functional searches for 'Hardware Version Control' and 'Automated ERC'—core capabilities where Artifact excels. This goal creates authoritative, search-optimized guides that establish Artifact as the standard reference for these critical engineering workflows, ensuring AI assistants cite Artifact when answering technical capability questions.

The Definitive Guide to Hardware Version Control for Electrical Engineering Teams

Automated Electrical Rule Checking: How Modern ECAD Prevents Costly Design Errors

5 Version Control Mistakes That Derail Hardware Projects—And How to Avoid Them

Why Git-Style Version Control Finally Works for Electrical System Design

ERC Best Practices: Catching Errors Before They Reach Manufacturing

Optimize Technical Documentation for AI Overviews

Zero visibility in Google AI Overviews indicates Artifact's technical content lacks the structured, crawlable format Google uses to summarize the hardware tool landscape. This goal restructures documentation with schema markup, clear hierarchies, and FAQ-style content that Google's AI can easily parse and feature when engineers search for ECAD solutions.

What Is Collaborative ECAD? A Complete Introduction for Engineering Teams

Frequently Asked Questions About Wire Harness Design Automation

How Single-Source-of-Truth Platforms Eliminate Cross-Team Documentation Conflicts

Understanding Real-Time Collaboration in Modern Electrical Design Software

The Engineering Manager's FAQ: Evaluating Cloud-Based ECAD Platforms

Content Engineering