Before: The Invisible Asset
Superior Heating and Cooling is a highly reputable 34-year-old business with over 25,000 satisfied customers. Yet, they possessed a severe vulnerability: they were entirely invisible to Large Language Models.
When homeowners in Oldsmar prompted ChatGPT, "Who is a reliable HVAC company near me?", Superior was never recommended. They were frustrated—watching 2-year-old competitors get the calls they deserved. Our initial 9-Pillar GEO Audit revealed why: they scored a 29 out of 90, placing them in the AI Invisible tier.
Initial 9-Pillar Audit Findings
| Pillar | Score | Critical Failure |
|---|---|---|
| 1. Entity Architecture | 2/10 | Severe NAP inconsistency across directory aggregators. |
| 2. Schema Markup | 1/10 | Template contamination; parsed phone number as an integer. |
| 3. Citable Content | 4/10 | Single-page site structure; no BLUF formatting. |
| 4. Proof Over Claims | 8/10 | Great physical history, but missing license numbers on site. |
| 5. Knowledge Graph | 0/10 | Empty sameAs array; no entity relationships established. |
| 6. Platform Distribution | 5/10 | Missing from Perplexity-heavy citation sources (Yelp/Apple Maps). |
| 7. Agent Enablement | 0/10 | No llms.txt, agent.json, or optimized robots.txt. |
| 8. Moat Building | 4/10 | High trust, but zero dense data tables or expert content. |
| 9. Measurement | 5/10 | Standard GA4, no AI crawler segmentation configured. |
| Total Score | 29/90 | Tier: AI Invisible |
The Plan: How We Fixed It
We didn't just tweak keywords. We executed our 3-step plan. After the audit, we performed a complete System Install to build the exact infrastructure AI requires to recommend them as the top choice. Full GEO system implementation — schema, entity architecture, and multimodal content — increases AI citation frequency by up to 317%.
1. GEO Deployment
We deployed a pristine, fast-loading architecture featuring
validated LocalBusiness schema with comprehensive sameAs linking to force Knowledge Graph recognition. We
implemented an llms.txt file to feed summaries directly
to ChatGPT.
2. Operations Intelligence
We installed a real-time revenue and pipeline dashboard connected directly to the backend CRM. This enables Superior to track every missed call recovered by the Voice Agent and every dollar saved from unconverted lead reactivation.
View Live Dashboard ->Notice on "After" Scores
UNBACKED does not publish fabricated "After" scores immediately following an install. True GEO validation requires 30-60 days for Large Language Models to re-crawl the new schema, update the entity in their Knowledge Graphs, and adjust weights in RAG retrieval. The system is live, and citation tracking is underway.