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Arcol
Arcol
Visibility17
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
SoftwareStartups
AI Visibility Score
17/100

Invisible

Sentiment Score
77/100
Score by Priority

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
17
OverviewLandscapeInsights & ActionsContent IdeasConversationsCitationsBrand Voice

Is this your business?

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.

Working in your favor

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

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

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

Gaps to close

Zero visibility in AI Overviews (0%), a critical failure for capturing search-intent traffic during software evaluation.

Complete absence from 'Real-time Collaborative Design' queries, allowing legacy competitors like Revit and Rhino to dominate Arcol's core value proposition.

Zero penetration into the Real Estate Developer persona, missing opportunities to influence high-level decision-makers focused on site feasibility.

Opportunities

Exploit Gemini's current algorithmic favoritism by seeding more structured data around site feasibility to displace Spacemaker and TestFit.

Aggressively target the 'collaborative' keyword cluster to bridge the gap between technical capability and AI discovery.

Leverage the high performance in early-stage massing to create a halo effect for broader AEC software evaluations.

Highest-Impact 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.

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 priority level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation1q

Brand recognition & direct queries

70
97
97
97
“What do you know about Arcol? What do they do and what's their reputation?”
Yes
#1
#1
#1

Core5q

Product/service category queries

29
43
67
0
“help me pick software for doing site feasibility studies for a new apartment building”
No
#14
#11
No
“i need a collaborative design platform for my architecture team so we can stop emailing files back and forth”
No
No
No
No
“most trusted cloud-based 3D modeling tools for architects right now”
No
#11
#4
No
“best way to do early stage 3D massing that updates metrics like FAR and unit counts automatically”
#5
#4
#2
No
“what tools should I use to quickly compare building design variations for a client pitch”
No
No
#8
No

Growth Areas

Adjacent, aspirational & visionary

—
—
—
—
ChatGPT
Claude
Gemini
AI Overviews

“What do you know about Arcol? What do they do and what's their reputation?”

ChatGPTYes
Claude#1
Gemini#1
AI Overviews#1

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

ChatGPTNo
Claude#14
Gemini#11
AI OverviewsNo

“i need a collaborative design platform for my architecture team so we can stop emailing files back and forth”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo

“most trusted cloud-based 3D modeling tools for architects right now”

ChatGPTNo
Claude#11
Gemini#4
AI OverviewsNo

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

ChatGPT#5
Claude#4
Gemini#2
AI OverviewsNo

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

ChatGPTNo
ClaudeNo
Gemini#8
AI OverviewsNo
Competitive Landscape
1
Revit
36 mentions
2
Rhino
31 mentions
3
Spacemaker
28 mentions
4
TestFit
27 mentions
5
Grasshopper
25 mentions
6
Autodesk Forma
25 mentions
7
SketchUp
17 mentions
8
Autodesk
17 mentions
9
Autodesk Construction Cloud
14 mentions
10
Speckle
13 mentions
11
Arcol
9 mentions
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

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

ArcGIS (Esri)

esri.com

Web1 ref

QGIS

qgis.org

Web1 ref

ARGUS Developer

argussoftware.com

Web1 ref

CoStar

costar.com

Web1 ref

LoopNet

loopnet.com

Web1 ref

Yardi Matrix

yardimatrix.com

Social1 ref

Reonomy

reonomy.com

Web1 ref

SketchUp

sketchup.com

Web1 ref

Revit / Civil 3D / InfraWorks (Autodesk)

autodesk.com

Web1 ref

DroneDeploy

dronedeploy.com

Web1 ref

Propeller Aero

propelleraero.com

Web1 ref

CityBldr

citybldr.com

Web1 ref

REFM (Real Estate Financial Modeling)

getrefm.com

Web1 ref

Bluebeam Revu

bluebeam.com

Web1 ref

5 Best Real Estate Feasibility Analysis Software in New York

feasibility.pro

Web1 ref
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

Visual Identity

Primary

#F5F3EE

Secondary

#E8FF00

Accent

#171717

Background

#FFFFFF

Foreground

#111111

Backing

Investors

C
Cowboy Ventures
C
Craft Ventures

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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Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

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.

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

AI Visibility Score

Arcol has an AI visibility score of 17/100, rated as invisible. This score reflects how often and how prominently Arcol appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

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.

Strengths

  • High resonance with Collaborative BIM Managers, achieving a 50% mention rate and outperforming other persona segments.
  • Strong technical authority on Gemini, specifically ranking #2 for early-stage 3D massing and metrics queries.
  • Perfect #1 positioning across Claude and Gemini for direct brand sentiment and 'vibe check' inquiries.

Visibility Gaps

  • Zero visibility in AI Overviews (0%), a critical failure for capturing search-intent traffic during software evaluation.
  • Complete absence from 'Real-time Collaborative Design' queries, allowing legacy competitors like Revit and Rhino to dominate Arcol's core value proposition.
  • Zero penetration into the Real Estate Developer persona, missing opportunities to influence high-level decision-makers focused on site feasibility.

Competitors in AI Recommendations

  • Revit: 36 mentions
  • Rhino: 31 mentions
  • Spacemaker: 28 mentions
  • TestFit: 27 mentions
  • Grasshopper: 25 mentions
  • Autodesk Forma: 25 mentions
  • SketchUp: 17 mentions
  • Autodesk: 17 mentions
  • Autodesk Construction Cloud: 14 mentions
  • Speckle: 13 mentions
  • BIM 360: 11 mentions
  • Excel: 9 mentions
  • Giraffe: 9 mentions
  • Trimble Connect: 8 mentions
  • ArchiCAD: 8 mentions

Categories: Software

Tags: Startups