The Fix | JE Dunn LLM Assessment

The Framework

Three pillars to close the visibility gap

Each pillar targets a different dimension of the deficit — from how JE Dunn appears in third-party sources, to the depth of technical evidence, to how AI systems discover and rank content.

Target stakeholders: Sandra Cho (CFO), Priya Patel (Procurement), Diane Torres (Capital Projects). These three rely most heavily on third-party authority sources — exactly where JE Dunn's deficit is worst.

1

Trade Media Placement Campaign

Secure 3+ feature articles per quarter in Construction Dive, ENR, and Cleanroom Technology — the three publications with highest LLM citation weight. Focus on semiconductor-specific project narratives, not general company profiles.

2

Industry Association Amplification

Establish JE Dunn executives as speakers at SEMI events and iMasons summits. These organizations appear in 208 and 186 LLM citations respectively — positioning JE Dunn alongside them creates association authority.

3

Wire Service Distribution

Launch a quarterly press cadence via GlobeNewsWire and BusinessWire for project milestones, technical achievements, and personnel announcements. Turner's regular wire presence is a key driver of their LLM training data advantage.

4

Named Client Permission Strategy

Negotiate reference permission from 3–5 semiconductor clients. Turner names clients freely; JE Dunn's 57.6% confidentiality friction rate stems directly from having zero named semiconductor references in public sources.

Target stakeholders: Marcus Williams (Engineering), Kevin Park (Construction), Bob Reynolds (Owner's Rep). Technical evaluators need evidence depth — cleanroom specs, ISO standards, vibration control — that doesn't exist in JE Dunn's current content ecosystem.

1

Technical White Paper Series

Publish detailed case studies covering cleanroom construction methodology, vibration isolation techniques, and contamination control systems. These need to live on third-party platforms (SEMI, Cleanroom Technology) not just jedunn.com — reducing the 36.1% first-party dependence.

2

Executive Thought Leadership Program

Position Gordon Lansford and key technical leaders as published experts. Co-author research with SEMI, present at Cleanroom Technology conferences, contribute to ENR technical features. Turner's executives appear on 3× more industry panels.

3

Project Documentation Overhaul

Create detailed, publicly-accessible project pages with specific metrics: square footage, cleanroom classifications, tool install timelines, safety records. Current project pages are thin on the technical specifications that AI systems use to validate capability claims.

4

Certification & Standards Visibility

Document and publicize ISO certifications, safety records, and specialized training programs. This evidence is critical for Marcus Williams–type evaluators but currently invisible to LLM systems.

Target stakeholders: All seven. This pillar addresses how AI systems discover, index, and rank JE Dunn content — the structural layer beneath content quality.

1

Structured Data & Schema Markup

Implement Organization, Project, and Article schema across jedunn.com. This helps AI systems correctly attribute capabilities, associate projects with semiconductor expertise, and surface content in AI-generated responses.

2

Wikipedia & Knowledge Graph Presence

Turner has a detailed Wikipedia entry covering history, major projects, and leadership. JE Dunn's presence is minimal. Developing a comprehensive, well-sourced Wikipedia entry is one of the highest-leverage actions for LLM visibility.

3

Content Architecture Optimization

Restructure jedunn.com semiconductor section for AI crawlability: dedicated landing pages per capability, internal linking between project pages, FAQ content matching common procurement queries, and machine-readable project data.

4

LinkedIn & Social Signal Strategy

JE Dunn has posted 1 semiconductor-related LinkedIn update in the past year. Turner maintains an active cadence. Implement weekly thought leadership posts, project milestone announcements, and employee spotlight content that creates social proof signals AI systems track.

The Timeline

Three phases over 12 months

Starting with actions JE Dunn controls entirely. Each phase builds on the last, creating compounding visibility gains.

Phase 1

Foundation

Months 1–3 · $50,000

Fully controllable actions that require no external cooperation. Website restructuring, schema markup, content creation pipeline, Wikipedia development, LinkedIn cadence launch. These create the infrastructure for everything that follows.

First measurable LLM visibility lift within 90 days

Phase 2

Amplification

Months 4–6 · $75,000

Partially controllable actions requiring partner cooperation. Trade media pitching, SEMI conference submissions, co-authored research, client reference negotiations. Built on the content foundation from Phase 1.

3+ trade media placements; confidentiality friction below 40%

Phase 3

Market Position

Months 7–12 · $20,000/mo

Sustained market presence through ongoing content, earned media, and continuous optimization. Monitor LLM training data cycles, adjust strategy based on competitive moves, and compound the gains from Phases 1–2.

Clean recommendation rate above 15%; Turner gap closes by 50%+

Why Phase 1 matters most: LLM training data refreshes on 3–6 month cycles. Content created in Phase 1 begins entering AI training data by Phase 2 — meaning early action produces exponentially faster results than delayed starts.

The Leverage

21 trusted voices, three tiers of influence

Our analysis identified 21 sources that shape how all seven buying committee members perceive JE Dunn. Targeting these voices creates the highest ROI per content dollar.

Tier 1 — Universal Voices (12)

Sources that appear across all 7 stakeholder analyses. Includes ENR (296 citations), Construction Dive (256), CHIPS Act references (229), SEMI (208), SIA (186), and TSMC/Intel project documentation. Actions that reach these voices touch every member of the buying committee simultaneously.

Tier 2 — Near-Universal (7)

Sources that reach 6 of 7 stakeholders. Includes Forbes (110 citations), OSHA (57), Deloitte (43), and Silicon Review (23). These shape perception for nearly the entire committee and offer targeted opportunities for executive visibility.

Tier 3 — Majority Influence (2)

Sources reaching 5 of 7 stakeholders. LG Chem (9 citations) and GlobeNewsWire (19). While smaller in citation volume, these represent controllable channels — especially GlobeNewsWire, which JE Dunn can use for press distribution immediately.

Fix Efficiency Matrix

Fully controllable: Neidlein (132 mentions), Lansford (34), GlobeNewsWire (19) — JE Dunn can create content for these channels without external approval. Partially controllable: SEMI, SIA, Forbes — require pitch but acceptance is likely with strong content. Uncontrolled: ENR, Construction Dive — require earned coverage.

The multiplier effect: A single white paper published on SEMI's platform, cited by Construction Dive, and distributed via GlobeNewsWire touches all 21 trusted voices across three tiers. This is how targeted content creates disproportionate visibility lift.

Proof of concept included: This assessment itself demonstrates Spotlight's methodology. The 700-question simulation, stakeholder mapping, and competitive scorecard you're reading are exactly how we'll track JE Dunn's visibility improvements — re-running the same analysis quarterly to measure real movement.

Three Pillars, Three Phases