Arcol

Visibility17

Vibe77

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

Software Startups

AI Visibility Score

17/100

Invisible

Sentiment Score

77/100

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.

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

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

Agent Breakdown

AI Platforms

How often do different AI platforms reference Arcol?

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Conversation Analysis

Topics

What conversations is Arcol included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Arcol 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

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

ChatGPT

1.ArcGIS

2.Esri ArcGIS Pro

3.ArcGIS Online

4.QGIS

5.LandVision

+38 more

Claude

1.Argus Enterprise

2.Real Capital Analytics

3.CoStar LoopNet

4.ArcGIS

5.Esri

+6 more

Gemini

1.TestFit

2.Autodesk Forma

3.Spacemaker

4.Giraffe

5.Deepblocks

+10 more

AI 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

ChatGPT

1.Autodesk Forma

2.Archistar

3.Spacemaker

4.TestFit

5.Arcol

+12 more

Claude

1.Autodesk Forma

2.Revit

3.Spacemaker

4.Autodesk

5.Rhino

+5 more

Gemini

1.Revit

2.Autodesk Forma

3.Spacemaker

4.C.F. Møller Architects

5.Testfit

+11 more

AI 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

ChatGPT

1.Revit

2.Rhino

3.Grasshopper

4.Rhino.Inside.Revit

5.TestFit

+25 more

Claude

1.Autodesk Forma

2.Revit

3.Rhino

4.Grasshopper

5.Ladybug Tools

+4 more

Gemini

1.Revit

2.Autodesk Forma

3.Rhino

4.TestFit

5.Cove.tool

8.Arcol

+5 more

AI Overviews

1.Digital Blue Foam

2.DBF

3.TestFit

4.Maket.ai

5.Revit

+10 more

Real Time Collaborative Design(1 query)

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

0/4 platforms mentioned

ChatGPT

1.Autodesk Construction Cloud

2.Autodesk Docs

3.BIM Collaborate

4.BIM Collaborate Pro

5.Revit

+26 more

Claude

1.Figma

2.Miro

3.Autodesk Fusion 360

4.Spline

5.Revit Cloud

+3 more

Gemini

1.Autodesk Construction Cloud

2.BIM 360

3.Revit

4.AutoCAD

5.Civil 3D

+15 more

AI Overviews

1.Revit

2.AutoCAD

3.Civil 3D

4.ArchiVinci

5.Autodesk BIM Collaborate Pro

+12 more

Evaluating Modern AEC Software(1 query)

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

0/4 platforms mentioned

ChatGPT

1.Graphisoft Archicad

2.BIMcloud

3.Autodesk Revit

4.Autodesk Construction Cloud

5.BIM Collaborate Pro

+20 more

Claude

1.Autodesk Revit Cloud

2.Autodesk Forma

3.SketchUp

4.Trimble Cloud

5.Trimble Connect

+6 more

Gemini

1.Autodesk BIM Collaborate Pro

2.Revit

3.Autodesk Construction Cloud

4.Snaptrude

5.Figma

+16 more

AI Overviews

1.ArchiVinci

2.SketchUp for Web

3.Trimble Connect

4.Autodesk FormIt Pro

5.Autodesk Revit

+13 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

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.

Gap

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

Gap

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

Gap

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

Opportunity

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

Opportunity

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

Opportunity

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

Technical Health

Site Health for AI Visibility

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

85/100

14 passed 4 warnings 2 issues

Audited 2/28/2026

Crawlability96

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO67

Titles, descriptions, headings

Content Quality73

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG82

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Critical Issues

Page has no meta description

Add a <meta name="description"> tag summarizing the page (150-160 characters).

Page has no H1 heading

Add a single H1 tag as the main page heading.

Warnings

1 render-blocking resource(s) detected

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

Title is too short (5 characters)

Expand the title to 50-60 characters with descriptive keywords.

Content may be too short

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

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 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

Competitive Landscape

Related Ecosystem

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

Revit36 mentions

Rhino31 mentions

Spacemaker28 mentions

TestFit27 mentions

Grasshopper25 mentions

Autodesk Forma25 mentions

SketchUp17 mentions

Autodesk17 mentions

Autodesk Construction Cloud14 mentions

Speckle13 mentions

Arcol9 mentions

Source Intelligence

Citations

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

ArcGIS (Esri)

http://www.esri.com/

Referenced in 1 query

Review

QGIS

http://www.qgis.org/

Referenced in 1 query

Review

ARGUS Developer

http://www.argussoftware.com/

Referenced in 1 query

Review

CoStar

http://www.costar.com/

Referenced in 1 query

Review

LoopNet

http://www.loopnet.com/

Referenced in 1 query

Review

Yardi Matrix

http://www.yardimatrix.com/

Referenced in 1 query

Pitch Story

Reonomy

http://www.reonomy.com/

Referenced in 1 query

Review

SketchUp

http://www.sketchup.com/

Referenced in 1 query

Review

Revit / Civil 3D / InfraWorks (Autodesk)

http://www.autodesk.com/

Referenced in 1 query

Review

DroneDeploy

http://www.dronedeploy.com/

Referenced in 1 query

Review

Propeller Aero

http://www.propelleraero.com/

Referenced in 1 query

Review

CityBldr

http://www.citybldr.com/

Referenced in 1 query

Review

Content Engineering

Goals & Content Ideas

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

Dominate Collaborative Design AI Search Queries

Address the critical 0% visibility gap in collaborative design queries where competitors currently capture 100% share of voice. Launch a comprehensive content blitz featuring collaborative workflows, team design success stories, and real-time collaboration benefits that AI assistants will reference when users ask about collaborative AEC tools. Amplify through social media campaigns showcasing live collaboration demos and user testimonials.

Why Real-Time Collaboration Beats File-Sharing for Architecture Teams

5 Signs Your Design Team Needs a Collaborative Platform, Not Another Tool

How One Architecture Firm Cut Review Cycles by 60% with Collaborative Design

The Hidden Cost of Non-Collaborative Design: Time Lost to Version Conflicts

Collaborative Design Checklist: 10 Features Your AEC Platform Must Have

Optimize Technical Content for AI Overviews

Correct the 0% mention rate in Google's AI Overviews by restructuring technical documentation and site architecture to meet AI indexing requirements. Create comprehensive, well-structured content targeting 'best' and 'most trusted' software queries that serve as the primary gateway for AEC professionals discovering new tools. Support with social proof content highlighting awards, certifications, and industry recognition.

The Complete Guide to Early-Stage Feasibility Studies in 2026

Arcol vs. Traditional CAD: A Feature-by-Feature Comparison for AEC Teams

What Makes a Trusted AEC Platform? Industry Standards Explained

How Browser-Based Design Tools Are Replacing Desktop Software

10 Questions to Ask Before Choosing Your Feasibility Study Platform

Capture Real Estate Developer Persona Through Case Studies

Build a dedicated content footprint targeting real estate developers who need site feasibility tools but currently have zero exposure to Arcol. Develop targeted case studies and whitepapers demonstrating ROI for development projects, site analysis workflows, and investment decision support. Distribute through developer-focused channels and LinkedIn campaigns targeting real estate decision-makers.

How Developers Use Feasibility Studies to De-Risk Land Acquisitions

Site Feasibility in 48 Hours: A Real Estate Developer's New Timeline

From Parcel to Pro Forma: Streamlining Developer Due Diligence

Why Smart Developers Are Demanding 3D Feasibility Models Before Closing

Case Study: How a Mixed-Use Developer Evaluated 12 Sites in One Week

Strengthen Gemini Leadership with Structured Data

Capitalize on Arcol's strongest AI platform performance (33% mention rate on Gemini) by implementing structured data specifically for site feasibility workflows. Create a defensive moat against Autodesk by ensuring Gemini consistently references Arcol for feasibility-related queries. Reinforce through social content highlighting workflow tutorials and step-by-step feasibility guides that align with structured data markup.

Step-by-Step: Running a Complete Site Feasibility Study in Arcol

The Metrics That Matter: What Your Feasibility Dashboard Should Show

How to Present Feasibility Findings That Win Stakeholder Buy-In

Feasibility Workflow Template: From Zoning Analysis to Final Report

5 Common Feasibility Study Mistakes and How to Avoid Them

Content Engineering