TL;DR: AI Visibility Case Study — 8.5x Growth in 90 Days
- Result: Apogee Mechanical grew AI mentions 8.5x and rank-one placements 7x across six major AI platforms in three months.
- Trigger: Buyers were actively searching AI platforms for vendors, and Apogee was nearly invisible before the engagement.
- Method: KTV Digital restructured content around buyer-specific language, detailed Q&A resources, and consistent multi-platform signals.
- Outcome: Inbound calls increased, with new customers specifically citing ChatGPT and other AI platforms as their discovery source.
Apogee Mechanical is a 30-year-old commercial refrigeration and HVAC company with an earned reputation, but wasn't showing up when buyers searched on AI engines. It wasn't because because the reputation wasn't real, but because it wasn't structured for the channel buyers are now using first, large language models.
For instance, when a facilities director types a vendor question into ChatGPT, the answer isn't shaped by reputation alone. It's shaped by how well a company's online presence answers the questions buyers are actually asking.
That gap is where most established B2B service companies are losing ground right now. Apogee Mechanical closed it, and the results document exactly what that looks like.
The Starting Point: Credible but Not Visible
Apogee Mechanical serves commercial clients across Central Texas with service and support for commercial refrigeration, HVAC, beverage equipment, and hot side equipment. They are essential to companies who cannot afford downtime: grocery chains, restaurant groups, healthcare facilities, and commercial property managers. Their technical reputation is strong. Their AI presence, at the start of the engagement, was not.
In February 2026, Apogee appeared in 18 out of 62 tracked queries with 11 rank-one placements. Visibility was almost entirely concentrated in GPT-based models. Google Gemini, Perplexity, and Google AI Overview were not surfacing them at all. For a company that serves buyers across multiple verticals, that single-platform exposure meant large portions of the buyer population simply never encountered them during AI-assisted research.
Three Months of Measurable AI Visibility Growth
February Baseline: One Platform, Thin Coverage
18 mentions across 62 queries. 11 rank-one placements. Apogee's web presence answered some buyer questions, but inconsistently, and only on GPT-based platforms. Buyers using Perplexity, Gemini, or Google AI Overview weren't seeing Apogee in results at all.
March Movement: Content Optimization Takes Hold
By March, mentions climbed to 54 across 72 tracked queries, with 29 rank-one appearances. The expanded query set reflected additional buyer personas added to the monitoring framework. The increased mentions reflected content restructuring beginning to pay off. Platform distribution was still narrow, but the trajectory was clear.
April Inflection: Mentions Triple in a Single Month
April was the breakout. Mentions jumped to 162 across 72 queries, nearly triple the March number, with 74 rank-one placements. Platform distribution shifted dramatically too. Apogee began surfacing in Gemini, Perplexity, and Google AI Overview alongside GPT models.
Multi-platform visibility matters because different buyers use different tools. A corporate facilities manager often finds vendors through Google AI Overview. A regional operations supervisor might use Perplexity. Apogee was now showing up for all of them.
What Actually Changed: The Mechanics Behind the Results
AI platforms recommend companies based on how well their online presence answers buyer questions, not on ad spend or domain authority alone. Four specific areas drove Apogee's visibility growth.
Buyer-specific language alignment. Facilities managers, procurement specialists, and operations directors use different vocabulary than the phrases most service companies use to describe themselves. Restructuring Apogee's content around how each buyer persona actually searches made it easier for AI systems to match Apogee to relevant queries.
Authoritative answers to real buyer questions. AI platforms reward content that answers what buyers genuinely want to know. Detailed resources covering response times, equipment specializations, service areas, and compliance documentation addressed the specific concerns each persona brings to their search.
Cross-platform consistency. AI models draw from multiple sources. Ensuring Apogee's information was consistent and accessible across the web created a reliable signal that multiple platforms could draw on, which is why the April expansion beyond GPT happened.
A dedicated LLM resource page. A structured page built specifically to give AI systems factual, organized information about Apogee's capabilities served as an anchor for the broader optimization effort.
The Business Signal That Validated the Metrics
Apogee began receiving inbound calls from new customers who specifically mentioned finding the company through ChatGPT or another AI platform. For a company historically built on referrals and long-term relationships, this represents an entirely new acquisition channel — one that compounds over time rather than requiring ongoing paid spend to maintain. That's what AI visibility, done correctly, produces.
✅ Do This to Grow
Structure content around buyer-specific language — Match how decision-makers actually search, not how you describe your services internally. Apogee's April surge came from alignment, not volume.
❌ Not This
Rely on a single AI platform for visibility measurement — GPT-only presence leaves buyers using Perplexity, Gemini, and Google AI Overview completely unreachable. Multi-platform coverage is the standard.
Questions B2B Service Companies Ask About AI Visibility
Q: How long does it take to see meaningful results?
Apogee's first measurable movement appeared within 30 days. The breakout came at 60. Ninety days produced a stable multi-platform presence. Timelines vary by starting point and industry competitiveness, but structured optimization produces movement far faster than traditional SEO.
Q: Does this require a complete website overhaul?
No. The work focuses on content structure and information architecture — how existing authority is organized and presented to AI systems. Apogee didn't rebuild their site. They restructured how their expertise was surfaced and answered buyer questions more completely.
Key Takeaways
- 8.5x AI mention growth and 7x rank-one growth in 90 days is achievable for established B2B service businesses
- Single-platform visibility leaves most of your buyer population unreachable
- Buyer-specific language alignment is the highest-leverage content optimization move available right now
What to Do Starting Now
Today: Run your business through SearchScore to get a baseline AI visibility reading across the platforms your buyers are actually using.
This Week: Identify which buyer personas you serve and audit whether your current content answers the questions they bring to AI search.
About Kevin Vaughan
Kevin Vaughan is the founder of KTV Digital, where he helps businesses bridge the gap between AI-powered research and website-based purchasing decisions. After 25 years leading sales and marketing in B2B technology, Kevin recognized that buyers had shifted from Google to AI tools for their initial research, and most businesses hadn't adapted.
This insight drove Kevin to understand how AI tools make recommendations and how businesses can optimize for all three phases of the modern buyer journey.
When he's not testing AI citation patterns or conversion strategies, you'll find him with his wife and kids, playing guitar, or scuba diving.
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