For 14 years, Spotlight has helped enterprise companies control how they appear in the conversations that shape buying decisions — from analyst reports to AI-generated answers.
We help companies appear accurately and favorably wherever buyers are doing research — whether that's an analyst report, a trade publication, or an AI-generated answer.
Spotlight started with a simple premise: if you can map the ecosystem of people and systems that influence buying decisions, you can engineer better outcomes. We've spent fourteen years refining that premise into a repeatable methodology — running hundreds of engagements for companies whose revenue depends on being findable.
The AI-mediated buying shift didn't catch us off guard. We've been tracking how information flows from source material into AI training data since the beginning — and building the tools to measure and improve it.
This assessment isn't a marketing exercise. It's the output of the same simulation methodology we deploy for enterprise technology companies whose pipeline depends on being visible when buyers research options.
The 700-question LLM buying simulation, the stakeholder persona modeling, the competitive gap scoring — these are production-grade tools refined across hundreds of engagements. The findings in this report are what that system produces when applied to JE Dunn's semiconductor construction market position.
Operational metrics that matter — from the companies that trust us with their market visibility.
Diagnosis, execution, and measurement — integrated into a single engagement so nothing falls between the cracks.
We build and run the programs that reshape how analysts, trade media, and AI systems perceive and recommend our clients. This is where JE Dunn's engagement would begin.
The diagnostic engine behind this assessment. Proprietary simulations, competitive benchmarking, and market intelligence that tell you exactly where you stand — and what to do about it.
Purpose-built software that tracks program effectiveness in real time — so you can see exactly what's moving and hold us accountable for results.
Two proprietary systems ensure every dollar invested is traceable to measurable movement.
A composite scoring system that quantifies a company's visibility across the channels that shape buying decisions — analyst reports, media coverage, peer recommendations, and AI-generated answers. This assessment is the output of that system applied to JE Dunn.
We track how LLMs are representing JE Dunn across prompts, models, and time — not quarterly snapshots, but continuous instrumented measurement. When the fix is working, you'll see it in the data before you feel it in pipeline.
The shift from human-mediated to AI-mediated buying isn't coming — it's here. And the companies investing in AI visibility now are building a compounding advantage.
Enterprise buying research has evolved through three eras: traditional (analyst calls, peer referrals, conferences), digital (search engines, review sites, social proof), and now AI-mediated (LLM responses, AI summaries, algorithmic recommendations). Each era added a layer without eliminating the previous ones. Spotlight operates across all three — and we recognized the AI layer's importance years before most companies acknowledged it existed.
When 94% of B2B buyers are consulting AI before engaging vendors, a company's LLM visibility isn't a nice-to-have — it's market access. JE Dunn's #3 ENR ranking gives it the substance. Spotlight's role is to ensure that substance translates into signal — across every AI-mediated touchpoint in the semiconductor fab procurement process.
The same team that diagnosed JE Dunn's visibility deficit — with 14 years of experience, 190+ enterprise clients, and production-grade tooling — is ready to close it. Let's find 90 minutes to walk through the strategy.
Find 90 Minutes to DiscussRick Nash, CEO · rick.nash@spotlightar.com