Case Studies

Case Study: The First 90 Days of anLLM Optimization Project (With Results)

See the proof. This case study details the first 90 days of an enterprise LLMO project, showcasing measurable results and a clear ROI in correcting AI misinformation and building brand authority.

Zarkx TeamJuly 10, 20259 min read

Project Overview

Client: A Leading Enterprise Cloud Security Provider

Industry: B2B SaaS / Cybersecurity

Objective: Correct widespread factual inaccuracies in AI-generated answers and establish the client as a primary source for "zero-trust network architecture."

Strategy and frameworks are essential, but results are what matter. This case study demonstrates a clear transformation from AI invisibility to AI authority.

While the client ranked well in traditional SEO, their representation in AI models was dangerously inaccurate, creating significant business risk and missed opportunities.

The Challenge: Day 1 Reality Check

Our initial Knowledge Audit revealed a critical problem that threatened the client's market position and brand integrity.

Widespread Misinformation

75% of AI-generated responses contained factual errors about client's services

Zero AI Visibility

Brand completely absent from competitive comparison queries in AI models

Lost Market Position

Competitors dominated AI-generated recommendations in cybersecurity space

The Baseline Analysis

The Problems We Found

  • 75% factual inaccuracy rate in AI responses
  • Zero positive brand citations
  • Absent from competitive comparisons
  • Outdated product information

Business Impact

  • Lost qualified leads from AI misinformation
  • Competitors dominating AI recommendations
  • Brand reputation risk from false information
  • Missed market positioning opportunities

The Solution: 90-Day LLMO Sprint

We executed an intensive 90-day sprint, focusing on the three most critical phases of LLM optimization.

Month 1

Entity Reconciliation

Key Activities

  • Comprehensive schema markup implementation
  • Google Business Profile optimization
  • Wikidata entity creation and verification
  • Industry directory alignment

Month-End Outcome

Brand established as verified entity across 12 major platforms

Month 2

Content Structuring

Key Activities

  • 15 core pages restructured for AI clarity
  • Advanced FAQ sections deployed
  • Factual precision audit and corrections
  • Semantic content enrichment

Month-End Outcome

Website transformed into machine-readable knowledge base

Month 3

Authority Development

Key Activities

  • Industry publication outreach campaign
  • Original research report publication
  • Thought leadership content creation
  • Citation network building

Month-End Outcome

Featured in major cybersecurity publication as industry authority

The Results: 90-Day Transformation

After 90 days, a new round of analysis showed a dramatic improvement. The client's brand narrative was now controlled, accurate, and authoritative.

Results Dashboard: Day 1 vs. Day 90

Factual Inaccuracy Score

Before

75%

After

10%
↓ 87%

Positive AI Answer Citations

Before

0

After

18
↑ 18

Competitive Visibility Score

Before

2 / 10

After

8 / 10
↑ 300%

"We were fighting a losing battle against misinformation in AI chats. Zarkx provided a clear, data-driven framework that not only fixed the inaccuracies but positioned us as a leader in our space. The results in just three months were beyond our expectations."

— VP of Marketing, Enterprise Cloud Security Provider

The Bottom Line: Proven ROI

The Bottom Line: This 90-day engagement proves that LLM Optimization delivers tangible ROI. It directly impacts brand reputation, competitive positioning, and lead generation by ensuring your company is accurately and authoritatively represented at the critical point of user inquiry.

87%

Reduction in AI Misinformation

18

New Positive Citations

300%

Competitive Visibility Increase

Ready to see results like these? Let's discuss a 90-day pilot project for your enterprise.

Book Your No-Obligation Scoping Call

Includes competitive AI audit and custom implementation roadmap