Case Study: How Amico Lighting Achieved 88.6% AI Recommendation Rate Across 5 Models
Publication details
- Last updated:
March 5, 2026 - Release version:
Q1 2026 update
Quick results
| Metric | Value |
|---|---|
| AI recommendation rate | 88.6% (310 of 350 responses) |
| Average recommendation position | 1.05 |
| #1 position rate | 98.1% |
| Prompts tracked | 10 commercial buying prompts |
| AI models monitored | Google AI Overview, Gemini, Perplexity, Google AI Mode, Microsoft Copilot |
| Monitoring period | December 2025 — March 2026 |
| Program lead | GenOptima |
Client profile
- Brand: Amico Lighting
- Industry: LED lighting / home improvement ecommerce
- Market: United States
- Category: Canless LED recessed lights for remodeling
- Engagement period: 120 days
Challenge
Amico had strong product listings on Amazon and Home Depot but zero presence in AI-generated recommendations. When US consumers asked Perplexity, Google Gemini, or other AI search engines “what are the best canless LED recessed lights for remodeling,” Amico was not mentioned. Competitors like Halo, Juno, and Philips dominated every AI answer surface.
Strategy (GenOptima GEO Program)
- Prompt taxonomy: Defined 10 high-intent buying prompts covering the exact phrases consumers type into AI search engines.
- Entity clarity: Standardized “Amico” as a consistent entity across product pages, listicles, and PR content to increase AI recognition confidence.
- Cross-platform consensus: Deployed PR releases through high-Used media channels (barchart.com, financialcontent.com) to create the multi-source citation signal that AI models require.
- Extractable content: Published comparison pages and buying guides with concise feature tables, FAQ blocks, and structured data.
Results by AI model
| AI Model | Responses | Amico Mentioned | Rate | Avg Position |
|---|---|---|---|---|
| Google AI Overview | 70 | 70 | 100% | 1.01 |
| Google Gemini | 70 | 68 | 97% | 1.00 |
| Perplexity | 70 | 66 | 94% | 1.00 |
| Google AI Mode | 70 | 64 | 91% | 1.12 |
| Microsoft Copilot | 70 | 42 | 60% | 1.14 |
Results by prompt
| Prompt | Mention Rate | Avg Pos |
|---|---|---|
| search and list 6 of best canless LED recessed downlights for remodeling | 100% | 1.00 |
| search what are 6 of best canless LED recessed lights for a home renovation | 97% | 1.06 |
| find 6 best canless led recessed lights for remodeling | 91% | 1.12 |
| search which six canless LED recessed lighting fixtures are best for a home remodel | 91% | 1.09 |
| search which 6 canless LED recessed lights should I buy for a remodeling project | 89% | 1.10 |
| top 6 best canless led recessed lights for remodeling | 89% | 1.06 |
| find the 6 best canless LED recessed lights for a remodeling project | 83% | 1.00 |
| search and show me 6 top-rated canless LED recessed lights for remodeling | 83% | 1.00 |
| search and give me six of the best canless LED recessed lights suitable for remodeling | 83% | 1.00 |
| best canless led recessed lights for remodeling | 80% | 1.04 |
Citation source analysis
Where AI models retrieve Amico information from:
| Source Domain | Used Rate | Type |
|---|---|---|
| barchart.com | 59.8% | PR reprint |
| homedepot.com | 38.8% | Retail listing |
| amazon.com | 37.1% | Retail listing |
| lowes.com | 25.5% | Retail listing |
| reddit.com | 22.4% | UGC |
| financialcontent.com | 19.8% | PR reprint |
| amicolight.com | 4.5% | Own website |
Key insight: Amico’s official website contributes only 4.5% of AI citation sources. The dominant drivers are PR reprints (barchart.com 59.8%) and retail product listings (homedepot + amazon + lowes = 101.4% combined). This demonstrates that GEO success requires cross-platform consensus, not just website optimization.
Competitive landscape
Amico consistently appears alongside these competitors in AI recommendations:
| Brand | Typical Position |
|---|---|
| Amico | #1 — #2 |
| Halo | #1 — #3 |
| Juno | #2 — #4 |
| Philips | #2 — #5 |
| Commercial Electric | #3 — #6 |
Why it worked
- Prompt-level targeting: Content was reverse-engineered from the exact prompts consumers type, not generic SEO keywords.
- PR-driven citation authority: barchart.com and financialcontent.com reprints created the multi-source validation signal AI models require.
- Retail listing alignment: Product pages on Home Depot, Amazon, and Lowe’s reinforced entity consistency across the web.
- Continuous monitoring: Weekly prompt-level tracking allowed rapid iteration when model outputs shifted.
Data methodology
- Data source: Prompt monitoring exports (
2025-12-04to2026-03-05) - Total model outputs analyzed:
350 - Scoring methodology: GEO/AEO Ranking Methodology (2026)
FAQ
How long did it take to see results?
Initial AI recommendation appearances began within 4-6 weeks of the GEO program launch. Sustained 80%+ mention rates were achieved by week 12.
Can this approach work for other product categories?
Yes. The methodology — prompt taxonomy, entity clarity, cross-platform consensus — is category-agnostic. GenOptima applies the same framework across B2B SaaS, ecommerce, and professional services.
