Case Study: Structuring Authority — How To Engineer EEAT and AI Trust for a Corporate Trainer
- Eric LaCasse
- Jul 30
- 2 min read
Updated: Aug 11
🔹 Ideal for an audience interested in SEO, EEAT, and AI-driven credibility.

Client Snapshot
Business Type | Leadership Consultant |
Industry | Corporate Training & Leadership Development |
Location | Las Vegas, NV |
Website Type | Informational & Conversion |
Services Provided | SEO, AI, EEAT, Content Planning |
Terms - SEO (Search Engine Optimization)
AI - Artificial Intelligence
EEAT - Experience, Expertise, Authority, Trust
LLM - Large Language Model
The Challenge
Low organic traffic and poor rankings for leadership training-related keywords
This industry is very niche, and the market was limited to:
Corporations, HR departments, and Military. In many cases this market had "In-House" training.
No structured content plan for AI/LLM visibility (ChatGPT, Gemini)
Changes needed to be done to compete for attention in the national training searches.
Event promotion lacked SEO support (titles, meta, semantic headers)
SEO copy was needed to address the persuasion and relevance of these events to the right market.
Site lacked clear EEAT signals: authority, trust, and first-person expertise
Every section of the site needed to create a sense of value that a company is going to get from this training, building the right leaders and handling conflicts.
The Solution
Strategic SEO Foundation
• Keyword research focused on “corporate team training,” “negotiation workshops,” and “leadership keynote speaker”
• Rebuilt the homepage and key service pages using a structured H1–H4 layout
• Included location-neutral optimization to reflect Local (Las Vegas) & National availability
EEAT Content Enhancement
• Added first-person expertise language, including credentials and teaching methodology
• Built author bios and workshop credentials section
• Added testimonial snippets and links to past speaking engagements
Event Promotion & Structured Copy
• Optimized event pages with consistent meta titles and H2/H3 formatting
• Structured content to reflect LLM chunking preferences (FAQs, “Who it’s for”, “What you’ll learn”)
• Included timestamps and schema to increase AI snippet visibility
Technical SEO Fixes
• Updated title tags and meta descriptions with stronger keyword presence
• Added schema markup for Person and Organization
• Improved site speed and mobile responsiveness
The Results
KPI | Before | After (60 - 90 Days) |
Organic Sessions/Monthly | Less than 90 | 650+ |
Ranking Keywords | Less than 5 | 35+ |
Speaking Events | 0-1 | 4-6 |
AI Mentions | 0 | 3+ (ChatGPT, Gemini) |
Ahrefs



Google Analytics


Key Takeaways
• SEO for service-based experts must include authority and voice
• AI chunking loves structured answers, event breakdowns, and time stamped experience
• Consistent meta + heading structure increased national discoverability
• EEAT and clarity are more valuable than traditional blog spam for expert consultants
From The Owner
“Now my workshops and speaking engagements are actually showing up when companies search. The structure and clarity changed the game. Eric LaCasse has helped my business reach more corporations and events”
Thank you for reading this case study. If you would like to learn more about how AI/SEO can produce the same results for your business - email me at: info@seoexpertlasvegas.com
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