Pendium
Arcol
Arcol
Visibility19
Vibe77
Businesses/Software/Arcol
Arcol
AI Visibility & Sentiment

Arcol

Arcol is a collaborative design platform for architecture, engineering, and construction (AEC) professionals that enables teams to design, validate, and present feasibility studies faster. The browser-based software combines 3D modeling, real-time metrics, and team collaboration tools to streamline early-stage building design and pre-construction workflows.

Active Monitoring
arcol.io
AI Visibility Score
19/100

Invisible

Sentiment Score
77/100
Score by Reach

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core
19
AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Arcol today.

Arcol faces a stark visibility paradox where it commands perfect authority in brand-direct queries but vanishes entirely during the critical discovery phase for collaborative design. While Gemini recognizes Arcol as a top-tier contender for early-stage 3D massing, the brand's total absence from AI Overviews and the Real Estate Developer persona represents a massive strategic blind spot.

Value Proposition

Real-time collaborative design platform that syncs 3D models, metrics, and documentation so AEC teams can iterate faster, make data-driven decisions, and present work confidently without switching between disconnected tools

Overview

Arcol is a collaborative design platform for architecture, engineering, and construction (AEC) professionals that enables teams to design, validate, and present feasibility studies faster. The browser-based software combines 3D modeling, real-time metrics, and team collaboration tools to streamline early-stage building design and pre-construction workflows.

Mission

Rethinking the AEC design stack with real-time collaboration and modern technology to unlock the full potential of building projects

Products & Services
3D building modeling and design toolsReal-time synced metrics and feasibility analysisCollaborative presentation boardsTeam collaboration and commenting featuresDesign variation comparison tools
Current State

Visibility Landscape

A high-level view of how Arcol performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation

Brand recognition & direct queries

13
19
35
0

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

Competitive Landscape
Revit
36 mentions
Rhino
31 mentions
Spacemaker
28 mentions
TestFit
27 mentions
Grasshopper
25 mentions
Autodesk Forma
25 mentions
Loading visibility matrix...
Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Arcol's AI visibility.

Key Findings

Strength

High resonance with Collaborative BIM Managers, achieving a 50% mention rate and outperforming other persona segments.

Strength

Strong technical authority on Gemini, specifically ranking #2 for early-stage 3D massing and metrics queries.

Strength

Perfect #1 positioning across Claude and Gemini for direct brand sentiment and 'vibe check' inquiries.

Recommended Actions

1

Execute a 'Collaborative Design' content blitz to secure mentions in collaborative-specific queries where visibility is currently 0%.

Competitors are capturing 100% of the share of voice for Arcol's primary product differentiator.

2

Optimize technical documentation and site architecture for Google's AI Overviews to correct the 0% mention rate.

AI Overviews are the primary gateway for users searching for 'best' and 'most trusted' software lists.

3

Develop targeted case studies and whitepapers specifically for the Real Estate Developer persona.

Arcol currently has zero footprint with this high-value persona, despite having the site feasibility tools they require.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Site Feasibility & Early Stage Modeling(3 queries)

help me pick software for doing site feasibility studies for a new apartment building

0/4 platforms mentioned

Core
ChatGPTChatGPT
1.ArcGIS
2.Esri ArcGIS Pro
3.ArcGIS Online
4.QGIS
5.LandVision

+38 more

ClaudeClaude
1.Argus Enterprise
2.Real Capital Analytics
3.CoStar LoopNet
4.ArcGIS
5.Esri

+6 more

GeminiGemini
1.TestFit
2.Autodesk Forma
3.Spacemaker
4.Giraffe
5.Deepblocks

+10 more

AI OverviewsAI Overviews
1.TestFit
2.Autodesk Forma
3.Spacemaker
4.Zenerate
5.Deepblocks

+6 more

best way to do early stage 3D massing that updates metrics like FAR and unit counts automatically

1/4 platforms mentioned

Core
The Forward-Thinking Principal Architect · Principal Architect / Partner
ChatGPTChatGPT
1.Autodesk Forma
2.Archistar
3.Spacemaker
4.TestFit
5.Arcol

+12 more

ClaudeClaude
1.Autodesk Forma
2.Revit
3.Spacemaker
4.Autodesk
5.Rhino

+5 more

GeminiGemini
1.Revit
2.Autodesk Forma
3.Spacemaker
4.C.F. Møller Architects
5.Testfit

+11 more

AI OverviewsAI Overviews
1.Digital Blue Foam
2.DBF
3.Autodesk Forma
4.TestFit
5.Modelur

+6 more

what tools should I use to quickly compare building design variations for a client pitch

1/4 platforms mentioned

Core
ChatGPTChatGPT
1.Revit
2.Rhino
3.Grasshopper
4.Rhino.Inside.Revit
5.TestFit

+25 more

ClaudeClaude
1.Autodesk Forma
2.Revit
3.Rhino
4.Grasshopper
5.Ladybug Tools

+4 more

GeminiGemini
1.Revit
2.Autodesk Forma
3.Rhino
4.TestFit
5.Cove.tool
8.Arcol

+5 more

AI OverviewsAI Overviews
1.Digital Blue Foam
2.DBF
3.TestFit
4.Maket.ai
5.Revit

+10 more

Competitive Landscape

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Arcol.

1Revit36 mentions
2Rhino31 mentions
3Spacemaker28 mentions
4TestFit27 mentions
5Grasshopper25 mentions
6Autodesk Forma25 mentions
7SketchUp17 mentions
8Autodesk17 mentions
9Autodesk Construction Cloud14 mentions
10Speckle13 mentions
11Arcol9 mentions
Brand Identity

Brand Voice & Style

How AI perceives Arcol's communication style and personality

Arcol communicates with a confident, forward-thinking voice that positions the brand as a modern innovator disrupting outdated AEC workflows. The tone is professional yet accessible, speaking directly to the frustrations of design professionals while offering clear, tangible solutions. The brand balances technical credibility with approachable language, using customer testimonials and real-world examples to build trust. There's an underlying sense of momentum and inevitability about collaborative design being the future.

Core Tone Traits

Innovative & Forward-Thinking

Positions the brand as leading industry transformation with modern technology

Professional yet Accessible

Technical credibility without jargon, speaking plainly to busy professionals

Collaborative & Team-Focused

Emphasizes working together, shared success, and breaking down silos

Confident & Solution-Oriented

Directly addresses pain points with clear, actionable solutions

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 28, 2026.

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