Last Energy

Visibility26

Vibe94

AI Visibility & Sentiment

Last Energy

Last Energy is a nuclear energy company that designs, owns, and operates proprietary small modular reactor technology. They provide decarbonized, reliable, and affordable baseload power to energy-intensive industries through a full-service delivery model from design to operations.

Active Monitoring

lastenergy.com

Energy Startups

AI Visibility Score

26/100

Low

Sentiment Score

94/100

AI Perception

Summary

Last Energy is currently a hidden champion for heavy industrial decarbonization, dominating the Chemical Plant Operations persona while remaining dangerously invisible in the high-stakes race for data center power dominance. While Claude and Gemini are beginning to recognize the brand's baseload potential, a complete blackout on ChatGPT and negligible presence in Google AI Overviews allows legacy competitors like NuScale and X-energy to own the broader small modular reactor narrative.

Value Proposition

Full-service nuclear energy delivery that combines proprietary reactor technology with an integrated owner-operator model, enabling industrial customers to access clean, reliable baseload power without the complexity of managing nuclear infrastructure themselves.

Overview

Mission

To build a future with nuclear energy at scale, providing decarbonized, reliable, and affordable power to industries that need it most.

Products & Services

Small modular reactor design and manufacturingNuclear power plant ownership and operationBaseload power supply for industrial facilitiesFull-service energy delivery from design to operationsDecarbonization solutions for heavy industry

Agent Breakdown

AI Platforms

How often do different AI platforms reference Last Energy?

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Conversation Analysis

Topics

What conversations is Last Energy included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Last Energy 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

Industrial Decarbonization & Baseload Solutions(3 queries)

“help me plan a decarbonization strategy for a chemical plant that needs 24/7 power”

0/3 platforms mentioned

Claude

1.NuScale

2.Rolls-Royce

3.Mitsubishi Heavy Industries

4.Siemens Energy

5.CATL

+3 more

Gemini

1.Siemens

2.Schneider Electric

3.Aspen Plus

4.HYSYS

5.Persefoni

+12 more

AI Overviews

No brands listed

“what are the best options for reliable baseload green energy for industrial manufacturing, specific companies please”

1/3 platforms mentioned

Claude

1.NuScale Power

2.TerraPower

3.X-energy

4.Fervo Energy

5.Baseload Capital

+1 more

Gemini

1.NuScale Power

2.Last Energy

3.PWR-20

4.Terrestrial Energy

5.IMSR

+11 more

AI Overviews

1.Ormat Technologies

2.Fervo Energy

3.Calpine Corporation

4.Drax Group

5.Arbor Energy

+8 more

“how can a steel mill switch to carbon free energy without losing its constant power supply”

1/3 platforms mentioned

Claude

1.NuScale

2.X-energy

3.Tesla Megapack

4.Eos Aurora

5.PJM

+1 more

Gemini

1.First Solar

2.SunPower

3.GE Renewable Energy

4.Vestas

5.Ormat Technologies

7.Last Energy

+6 more

AI Overviews

1.HYBRIT

2.H2 Green Steel

Data Center Infrastructure & Scaling(1 query)

“how can i get dedicated power for a new hyperscale data center without waiting years for a grid connection”

0/4 platforms mentioned

ChatGPT

1.Aggreko

2.Caterpillar Energy Rentals

3.APR Energy

4.Wärtsilä

5.MAN

+24 more

Claude

1.NuScale

2.X-energy

3.Ørsted

4.NextEra Energy

5.EDF Renewables

+8 more

Gemini

1.First Solar

2.SunPower

3.Vestas

4.General Electric (GE)

5.Siemens Energy

+10 more

AI Overviews

1.Hanwha Data Centers

2.Equinix

3.Woodway Energy

4.Woodstock Power

5.Fervo Energy

+1 more

Evaluating SMR & Nuclear Energy Providers(1 query)

“who are the most reliable small modular reactor companies for private industrial use”

0/3 platforms mentioned

Claude

1.NuScale Power

2.X-energy

3.Rolls-Royce SMR

4.TerraPower

5.Breakthrough Energy

+1 more

Gemini

1.NuScale Power

2.NuScale

3.Power Module

4.Carbon Free Power Project

5.GE Hitachi Nuclear Energy

+13 more

AI Overviews

1.NuScale

2.VOYGR

3.GE Hitachi

4.BWRX-300

5.Ontario Power Generation

+9 more

Energy Independence & Infrastructure Transition(1 query)

“options for on-site power generation for a paper mill that needs to replace coal or gas”

0/3 platforms mentioned

Claude

1.Valmet

2.Andritz

3.Babcock & Wilcox

4.Ener-Core

5.Gasol Technology

+8 more

Gemini

1.Babcock & Wilcox

2.GE

3.First Solar

4.SunPower

5.Tesla

+8 more

AI Overviews

No brands listed

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Exceptional resonance with Chemical Plant Operations Leads, achieving a 67% mention rate and top-tier positioning (avg pos 2.2)

Strength

Strong performance on Claude and Gemini for specific industrial decarbonization and baseload green energy queries

Strength

High sentiment and authoritative ranking (pos 1.3) when mentioned in Claude, signaling strong technical validation by the model

Gap

Complete invisibility on ChatGPT across all core industry queries, missing a critical segment of the market research funnel

Gap

Failing to appear in competitive 'SMR provider' evaluation queries where NuScale and X-energy are currently the default recommendations

Gap

Severe underperformance in Google AI Overviews with only a 7% mention rate, limiting visibility in general search-driven AI discovery

Opportunity

Leverage current industrial baseload dominance to bridge into the data center infrastructure market where visibility is currently fragmented

Opportunity

Capture the 'Hyperscale Data Center VP' persona by aligning content with specific dedicated power and scaling requirements

Opportunity

Aggressively target the 'SMR reliability' keyword cluster to challenge NuScale's lead in provider evaluations

Technical Health

Site Health for AI Visibility

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

89/100

15 passed 5 warnings

Audited 2/27/2026

Crawlability96

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO78

Titles, descriptions, headings

Content Quality87

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

Warnings

2 render-blocking resource(s) detected

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

Title is too short (24 characters)

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

Meta description may be truncated (225 characters)

Shorten to under 160 characters.

Page has 2 H1 tags. Best practice is one.

Use a single H1 for the main heading, and H2-H6 for subheadings.

H3 used without H2 — heading levels are skipped

Use headings in order (H1 → H2 → H3). Don't skip levels.

+ 1 more warnings

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Brand Identity

Brand Voice & Style

How AI perceives Last Energy's communication style and personality

Last Energy communicates with bold confidence and engineering precision, positioning itself as a builder rather than a dreamer in the nuclear energy space. The brand voice is direct and action-oriented, emphasizing tangible results over theoretical possibilities. They balance technical credibility with accessible language, making complex nuclear technology feel achievable and practical for industrial decision-makers.

Core Tone Traits

Bold & Action-Oriented

Uses decisive language that emphasizes building and doing rather than imagining or planning

Technically Credible

Demonstrates deep engineering expertise while remaining accessible to business audiences

Confidently Pragmatic

Presents nuclear energy as a practical, achievable solution rather than a futuristic concept

Industry-Focused

Speaks directly to the needs of heavy industry and energy-intensive operations

Competitive Landscape

Related Ecosystem

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

NuScale Power21 mentions

X-energy15 mentions

NuScale12 mentions

Last Energy12 mentions

Plug Power10 mentions

Fervo Energy10 mentions

BWRX-30010 mentions

GE Hitachi Nuclear Energy9 mentions

Rolls-Royce SMR8 mentions

Siemens Energy7 mentions

Wärtsilä7 mentions

Source Intelligence

Citations

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

Potential pathways to green chemical industrial processes

https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780443219290000133

Referenced in 1 query

Review

Electrification or Hydrogen? The Challenge of Decarbonizing Industrial (High-Temperature) Process Heat

https://www.mdpi.com/2571-8800/7/4/26

Referenced in 1 query

Review

Fuel cell technology for domestic built environment applications: State of-the-art review

https://www.sciencedirect.com/science/article/pii/S1364032114009058

Referenced in 1 query

Review

Tri-Generation - UnderstandingCHP.com

https://understandingchp.com/technologies/tri-generation/

Referenced in 1 query

Review

Petrochemical Replacement → Term

https://lifestyle.sustainability-directory.com/term/petrochemical-replacement/

Referenced in 1 query

Review

Decarbonizing the chemical industry through digital technologies

https://www.sciencedirect.com/science/article/pii/S2772508125000341

Referenced in 1 query

Review

Getting real about the energy transition | Article Page

https://knowledge.energyinst.org/new-energy-world/article?id=138950

Referenced in 1 query

Review

10 Top Tips for Targeting Net Zero Carbon

https://www.netzerocarbonguide.co.uk/guide/where-to-start/10-top-tips-for-targeting-net-zero-carbon

Referenced in 1 query

Review

Sustainable Energy Systems: Challenging the Emerging Energy Technologies | Springer Nature Link

https://link.springer.com/chapter/10.1007/978-3-031-62620-3_2

Referenced in 1 query

Review

Waste heat recovery technologies and applications - ScienceDirect

https://www.sciencedirect.com/science/article/pii/S2451904918300015

Referenced in 1 query

Review

A multi-objective bilevel planning for data center integrated energy systems with waste heat utilization

https://www.sciencedirect.com/science/article/pii/S0360544225035765

Referenced in 1 query

Review

Waste Heat Recovery | Advanced Heat Recovery & Waste Heat Solutions

https://apollo.engineer/waste-heat-recovery/

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 Last Energy's resources to help users.

Launch ChatGPT Narrative Seeding Campaign

Address the critical 0% mention rate in ChatGPT by creating and distributing high-authority content that positions Last Energy as the definitive SMR solution for executive research queries. This campaign will seed authoritative narratives across platforms ChatGPT references, including Wikipedia citations, industry publications, and structured data sources, ensuring Last Energy enters the consideration set for large-scale energy project decisions.

How Last Energy is Redefining Nuclear Power Delivery for Industrial Scale

The Full-Service Model: Why Industrial Buyers Are Choosing Turnkey SMR Solutions

From Design to Operations: What Sets Modern Nuclear Energy Companies Apart

5 Questions Every Executive Should Ask Before Choosing an SMR Provider

The Hidden Cost of Managing Nuclear Infrastructure In-House

Publish SMR-Data Center Technical Content

Develop authoritative white papers and case studies that explicitly connect small modular reactor technology to hyperscale data center power requirements, targeting the high-value 'dedicated power' queries currently missing Last Energy. This technical content strategy will establish Last Energy as the go-to source for AI-discoverable information on SMR solutions for energy-intensive computing infrastructure.

Why Data Centers Are Turning to On-Site Nuclear for Baseload Power

Case Study: Calculating the True Cost of Unreliable Data Center Energy

SMR vs Grid: The Reliability Math for Hyperscale Computing Facilities

How On-Site Nuclear Solves the Data Center Energy Trilemma

The Technical Requirements for Powering a 100MW Data Center with SMR Technology

Optimize Content for AI Overview Discovery

Restructure digital assets around 'baseload green energy' and 'on-site generation' entity schemas to capture the top-of-funnel search audience migrating to AI summaries, addressing the current 7% AI Overview mention rate. This SEO-for-AI strategy will ensure Last Energy appears when Google synthesizes answers about decarbonized industrial power solutions.

What Is Baseload Green Energy and Why Does It Matter for Industry

On-Site Generation Explained: The Future of Industrial Power Independence

Comparing Baseload Power Sources: Nuclear, Solar, Wind, and Natural Gas

The Complete Guide to Decarbonizing Energy-Intensive Manufacturing

How On-Site Nuclear Generation Eliminates Grid Dependency Risks

Create Competitor Comparison Technical Assets

Develop direct comparison content addressing reliability and deployment speed advantages versus NuScale and X-energy, injecting Last Energy's unique full-service value proposition into the competitive logic of Claude and Gemini responses. This strategy targets the 'reliable SMR provider' queries currently dominated by competitors.

SMR Deployment Timelines: Comparing Last Energy, NuScale, and X-energy

The Owner-Operator Advantage: Why Full-Service Nuclear Delivery Wins on Reliability

What Industrial Buyers Should Know Before Choosing an SMR Partner

Speed to Power: How Last Energy's Integrated Model Accelerates Deployment

Reliability Metrics That Matter When Evaluating SMR Providers

Amplify Authority Through Industry Publications

Secure placements in high-authority energy and industrial publications that LLMs cite as trusted sources, building the citation network necessary for consistent AI visibility across all platforms. This earned media strategy will create the external validation signals that AI assistants use when recommending nuclear energy solutions to industrial decision-makers.

Op-Ed: The Nuclear Renaissance Is Being Built, Not Dreamed

Expert Analysis: Why Industrial Decarbonization Requires Nuclear Baseload

Industry Perspective: Lessons from Deploying SMR Technology at Scale

The Business Case for Nuclear: A CFO's Guide to SMR Economics

What Energy-Intensive Industries Need to Know About the SMR Revolution

Content Engineering

Recommended Actions

Launch a targeted narrative seeding campaign to bridge the ChatGPT data gap and fix the 0% mention rate.

ChatGPT is the primary tool for executive research; total absence there means Last Energy is excluded from the initial consideration set for large-scale energy projects.

Impact: High

Develop and publish technical white papers and case studies specifically linking SMR technology to hyperscale data center power needs.

The 42% persona mention rate suggests potential, but the brand is missing from specific 'dedicated power' queries that drive high-value data center leads.

Impact: High

Optimize digital assets for Google AI Overviews by structuring content around 'baseload green energy' and 'on-site generation' entity schemas.

A 7% mention rate in AI Overviews represents a massive failure to capture the top-of-funnel search audience currently migrating from traditional search to AI summaries.

Impact: Medium

Create comparison-oriented technical content that directly addresses 'reliability' and 'deployment speed' vs. NuScale and X-energy.

Competitors are currently dominating the 'reliable SMR provider' queries; Last Energy must inject its unique value proposition into the comparison logic of Claude and Gemini.

Impact: Medium

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

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