Pendium
Inviscid AI
Inviscid AI
Visibility21
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Businesses/Artificial Intelligence/Inviscid AI
Inviscid AI
AI Visibility & Sentiment

Inviscid AI

Inviscid AI develops physics-informed artificial intelligence that creates digital twins for building systems. They accelerate building simulations by 1000x using neural networks that respect physical laws, transforming weeks of HVAC, lighting, and energy system optimization into seconds.

Active Monitoring
inviscidai.com
AI Visibility Score
21/100

Low

Sentiment Score
91/100
AI Perception

Summary

Inviscid AI exists as a niche technical powerhouse that is currently invisible to the strategic decision-makers who control commercial real estate budgets. While the brand achieves a dominant 58% visibility with Technical MEP Consultants, it is being systematically erased from the broader conversation by competitors like BrainBox AI and Siemens in 100% of energy optimization and facility management queries.

Value Proposition

Transform weeks of building simulation into seconds with physics-informed AI that delivers 1000x faster results while maintaining 95%+ accuracy and respecting fundamental physical laws.

Overview

Inviscid AI develops physics-informed artificial intelligence that creates digital twins for building systems. They accelerate building simulations by 1000x using neural networks that respect physical laws, transforming weeks of HVAC, lighting, and energy system optimization into seconds.

Mission

Accelerating building intelligence through physics-informed AI to optimize energy systems in real-time.

Products & Services
Physics-informed neural network simulationBuilding Management System (BMS) integrationIoT sensor data processing and optimizationHVAC and airflow simulationDigital twin technology for buildings
Agent Breakdown

AI Platforms

How often do different AI platforms reference Inviscid AI?

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Conversation Analysis

Topics

What conversations is Inviscid AI included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Inviscid AI 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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Building Energy & HVAC Optimization(3 queries)

how can I cut my office building's energy bill using AI and real-time data

0/4 platforms mentioned

ChatGPTChatGPT
1.Azure ML
2.AWS SageMaker
3.Grafana
4.Power BI
5.XGBoost

+25 more

ClaudeClaude
1.Wattics
2.Verdigris
3.Nortech
4.EnerTech Capital
5.Spacewell

+14 more

GeminiGemini
1.BrainBox AI
2.Enlighted
3.Siemens
4.Schneider Electric EcoStruxure
5.GridPoint

+5 more

AI OverviewsAI Overviews
1.Verde Solutions
2.JLL
3.Hank
4.BrainBox AI

best ways to optimize HVAC airflow without doing a massive renovation

0/4 platforms mentioned

ChatGPTChatGPT
1.Honeywell Building Solutions
2.Siemens
3.Desigo
4.Johnson Controls
5.Metasys

+26 more

ClaudeClaude
1.Honeywell's Forge
2.Siemens Desigo CC
3.Siemens
4.Honeywell
GeminiGemini
1.BrainBox AI
2.75F
3.Carbon Lighthouse
4.CLUES
5.Turntide Technologies

+10 more

AI OverviewsAI Overviews
1.Acadiana Comfort Systems

give me some AI tools that can automate building energy systems and suggest specific companies

0/4 platforms mentioned

ChatGPTChatGPT
1.BrainBox
2.Carbon Lighthouse
3.BuildingIQ
4.Verdigris
5.Siemens

+20 more

ClaudeClaude
1.Honeywell EnergyIP
2.Siemens Desigo CC
3.Johnson Controls OpenBlue
4.Sense
5.Prescient

+3 more

GeminiGemini
1.Honeywell
2.Siemens
3.Nantum OS
4.Prescriptive Data
5.iOS

+8 more

AI OverviewsAI Overviews
1.BrainBox AI
2.Sensgreen AI
3.Enersee
4.GridPoint
5.Verdigris

+13 more

Accelerated Engineering Simulation(1 query)

I need a faster way to do airflow simulation than traditional CFD, any recommendations?

0/4 platforms mentioned

ChatGPTChatGPT
1.XFOIL
2.XFLR5
3.AVL
4.Athena Vortex Lattice
5.pyMOR

+24 more

ClaudeClaude
1.TensorFlow
2.PyTorch
3.NVIDIA Modulus
4.SimScale
5.OpenLB

+4 more

GeminiGemini
1.Ansys Discovery
2.SimScale
3.Pacefish
4.Altair ultraFluidX
5.NVIDIA Modulus

+9 more

AI OverviewsAI Overviews
1.Fidelis Engineering Associates
2.SimScale
3.Ansys SimAI
Building Intelligence Trust & Evaluation(1 query)

best reviewed AI digital twin companies for commercial real estate

0/4 platforms mentioned

ChatGPTChatGPT
1.Autodesk Tandem
2.Revit
3.Bentley Systems
4.iTwin Platform
5.Microsoft Azure Digital Twins

+23 more

ClaudeClaude
1.Matterport
2.CoStar
3.MLS
4.Stratus
5.Nexus Insights

+6 more

GeminiGemini
1.Willow
2.WillowTwin
3.Matterport
4.Cortex AI
5.Autodesk Tandem

+9 more

AI OverviewsAI Overviews
1.Autodesk Tandem
2.Matterport
3.Cortex
4.Bentley Systems
5.iTwin

+6 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Exceptional performance with the Technical MEP Consultant persona, achieving a 58% mention rate.

Strength

Top-tier positioning on Claude and Gemini for specialized queries regarding accelerated engineering and airflow simulation.

Strength

Perfect brand recognition (100%) when queried directly, indicating a strong technical identity that simply isn't being mapped to broader industry problems.

Gap

Total absence from AI Overviews across all tested queries, ceding the most visible AI real estate to legacy competitors.

Gap

Zero visibility among Strategic Real Estate Developers and Facility Operations Managers, critical personas for procurement.

Gap

Complete failure to appear in 'Building Energy & HVAC Optimization' and 'Building Intelligence' queries, which are the primary drivers of commercial AI adoption.

Opportunity

Bridge the gap between 'technical airflow simulation' and 'operational cost savings' to capture broader HVAC optimization traffic.

Opportunity

Exploit the current 0% visibility in 'Digital Twin' queries where competitors like BuildingIQ are currently leading but lack Inviscid's simulation depth.

Opportunity

Utilize the brand's high sentiment and technical accuracy on Claude/Gemini to build a case for AI-driven HVAC retrofitting.

Technical Health

Site Health for AI Visibility

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

84/100
13 passed 5 warnings 1 issues
Audited 2/27/2026
Crawlability83

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO87

Titles, descriptions, headings

Content Quality60

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).

Warnings

!

No robots.txt file found

Create a robots.txt file at your domain root. Optional but recommended.

!

1 render-blocking resource(s) detected

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

!

Content may be too short

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

!

Few internal links on this page

Add more internal links to related pages on your site.

!

Missing Open Graph tags for social sharing

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

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Brand Identity

Brand Voice & Style

How AI perceives Inviscid AI's communication style and personality

Inviscid AI communicates with technical precision balanced by accessible explanations of complex concepts. The brand voice is confident and data-driven, leading with impressive metrics (1000x faster, 95%+ accuracy) while maintaining approachability. They position themselves as innovative pioneers solving real-world infrastructure challenges, using clean and direct language that appeals to technical decision-makers without being overly academic.

Core Tone Traits

Technical & Precise

Uses specific metrics and engineering terminology to establish credibility with technical audiences

Confident & Results-Driven

Leads with quantifiable outcomes and proven case study results

Innovative & Forward-Thinking

Positions AI and digital twins as transformative solutions for building intelligence

Clear & Accessible

Explains complex physics-informed AI concepts in understandable terms

Competitive Landscape

Related Ecosystem

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

1BrainBox AI18 mentions
2Siemens13 mentions
3BuildingIQ10 mentions
4Honeywell10 mentions
5Verdigris9 mentions
6Carbon Lighthouse9 mentions
7GridPoint8 mentions
8SkyFoundry8 mentions
9Revit8 mentions
10Matterport8 mentions
11Inviscid AI7 mentions
Source Intelligence

Citations

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

AI-Powered Energy Management: How Smart Tech Cuts ...

https://rhino.energy/blog/ai-powered-energy-management-how-smart-tech-cuts-costs-emissions

Referenced in 1 query

Review
3 Ways to Leverage A.I. for Efficient Energy Management

https://cmr.berkeley.edu/2024/11/3-ways-to-leverage-a-i-for-efficient-energy-management/

Referenced in 1 query

Review
AI-Driven Smart Building Systems for Modern Infrastructure - Cimetrics

https://cimetrics.com/ai-for-smart-building-management/

Referenced in 1 query

Review
How AI is boosting efforts to cut buildings' energy use - JLL

https://www.jll.com/en-us/insights/how-ai-is-boosting-efforts-to-cut-buildings-energy-use

Referenced in 1 query

Review
Building Management System Efficiency with AI and Cloud

https://sensgreen.com/building-management-system/

Referenced in 1 query

Review
How AI Is Transforming Commercial Energy Management

https://verdesolutions.com/how-ai-is-transforming-commercial-energy-management/

Referenced in 1 query

Review
Cut Costs with Smart Building Energy Management - PRIDE Industries

https://www.prideindustries.com/our-stories/building-energy-management

Referenced in 1 query

Review
Reducing energy costs through smart building automation, sensor ...

https://www.mrisoftware.com/za/blog/reducing-energy-costs-through-smart-building-automation-sensor-technology-and-ai/

Referenced in 1 query

Review
AI: The Future of Energy Efficiency in Commercial Buildings

https://vertenergygroup.com/how-is-ai-revolutionizing-energy-efficiency-in-commercial-buildings/

Referenced in 1 query

Review
Making your buildings energy-efficient with AI - BrainBox AI

https://brainboxai.com/en/articles/making-your-buildings-energy-efficient-with-ai

Referenced in 1 query

Review
Smarter Buildings: The Power of A.I. in Building Management Systems

https://www.tmba.com/blog/bms-and-artificial-intelligence

Referenced in 1 query

Review
Real time or faster-than-real-time simulation of airflow in ...

https://engineering.purdue.edu/~yanchen/paper/2009-4.pdf

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 Inviscid AI's resources to help users.

Dominate Energy ROI and Cost Reduction Conversations

Address the critical zero visibility gap in energy-saving queries by pivoting content strategy toward 'Energy ROI' and 'HVAC Cost Reduction' narratives. This goal focuses on creating authoritative, data-driven content that positions Inviscid AI as the go-to solution when facility managers ask AI assistants about building energy optimization, ensuring our 1000x simulation speed advantage is prominently featured in AI-generated responses.

The Hidden Math Behind HVAC Cost Reduction: Why Most ROI Calculators Get It Wrong
How Physics-Informed AI Delivers 40% Energy Savings Without Sacrificing Comfort
5 Energy ROI Metrics Every Facility Manager Should Track in 2026
Case Study: $2.3M Annual Savings Through Real-Time HVAC Optimization
Why Traditional Building Simulations Leave Money on the Table

Create AI-Indexable Technical Whitepapers

Solve the 0% AI Overview mention rate by developing structured technical whitepapers specifically optimized for LLM indexing and citation. These documents will provide the authoritative, well-organized data that AI systems need to reference Inviscid AI when answering technical queries about building simulation, digital twins, and energy optimization.

The Complete Guide to Physics-Informed Neural Networks for Building Systems
Benchmarking Digital Twin Accuracy: A Technical Framework for Facility Managers
How 1000x Faster Simulations Change the Economics of Building Optimization
Technical Deep Dive: Maintaining 95%+ Accuracy While Respecting Physical Laws
The Engineering Behind Real-Time HVAC Digital Twins: Methods and Validation

Connect Simulation Precision to Real Estate Value

Capture the Strategic Real Estate Developer persona by explicitly linking Inviscid AI's technical simulation capabilities to commercial real estate asset value and financial outcomes. This content strategy bridges the gap between engineering precision and investment returns, targeting keywords that resonate with developers seeking data-driven property optimization.

How Digital Twin Technology Increases Commercial Property Valuations by 15%
The Asset Manager's Guide to Building Performance Data and NOI Impact
Why Smart Building Certifications Now Require AI-Powered Simulation Proof
From Engineering Data to Investment Returns: Quantifying Simulation ROI
Due Diligence in 2026: How Buyers Evaluate Building System Intelligence

Claim Advanced Digital Twin Category Leadership

Challenge BuildingIQ and Siemens by launching an authority campaign that positions Inviscid AI as the leader in 'Advanced Digital Twin' terminology. Despite competitors winning visibility with lower technical scores, this campaign will leverage our physics-informed AI differentiation to establish category ownership through consistent, technically superior content across all channels.

What Makes a Digital Twin 'Advanced'? The Technical Criteria That Matter
Beyond Basic BMS: How Physics-Informed AI Redefines Building Intelligence
Competitor Comparison: Digital Twin Accuracy Benchmarks Across Leading Platforms
The Evolution of Building Digital Twins: From Static Models to Real-Time Physics
Why 95%+ Accuracy Should Be Your Digital Twin Baseline, Not Your Goal
Content Engineering

Recommended Actions

!

Execute a content pivot toward 'Energy ROI' and 'HVAC Cost Reduction' narratives.

The data shows zero visibility in energy-saving queries despite these being the primary search intent for the Facility Manager persona.

Impact: High
!

Develop structured technical whitepapers optimized for AI Overview indexing.

A 0% mention rate in AI Overviews is a critical failure that can only be solved by providing the LLMs with structured, authoritative data to cite.

Impact: High
~

Align technical simulation strengths with 'Commercial Real Estate Asset Value' keywords.

The Strategic Real Estate Developer persona has 0% visibility; connecting engineering precision to financial outcomes will capture this high-intent audience.

Impact: Medium
~

Launch a 'Digital Twin' authority campaign to challenge BuildingIQ and Siemens.

Competitors are winning the Building Intelligence category with lower technical scores; Inviscid must claim the 'Advanced Digital Twin' terminology.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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