Palisociety in AI Answers
Portfolio-Wide Baseline Analysis
SCORE
Score = (Featured × 0.7) + (Top × 0.3) | 210 featured, 98 top of 575 tests
Executive Summary
- AEO Score: 30.7 out of 100 — composite score based on 36.5% featured rate (×0.7) + 17.0% top recommendation rate (×0.3)
- Featured in 36.5% of unbranded queries — when travelers ask AI platforms for hotel recommendations, Palisociety properties appear among top recommendations roughly 1 in 3 times
- Top recommendation in 17.0% of queries — the #1 recommended hotel in unbranded searches; 47% of featured mentions convert to wins
- Gemini leads platform performance — Gemini (42.6%) and Meta Llama (39.1%) show highest visibility; ChatGPT (25.2%) trails but still contributes meaningful presence
- Memphis leads market performance — 70% featured rate, followed by Los Angeles (65.2%) and Wilmington (65.0%); opportunity markets include Napa Valley (13.3%) and San Francisco (13.3%)
Branded vs Unbranded Performance
This analysis separates branded queries (where users mention Palisociety by name) from unbranded queries (category searches without brand names). Unbranded performance represents true competitive positioning.
Unbranded Queries (Competitive Tests)
115 queries × 5 platforms = 575 tests
Top recommendation: 98 (17.0%)
Branded Queries (Quality Check)
15 queries × 5 platforms = 75 tests
Confirms proper indexing
Performance by Market
Unbranded query performance across 16 market segments. Markets with higher featured rates indicate stronger AI visibility for organic discovery.
AI Platform Performance
Performance varies across AI platforms. Gemini and Meta Llama show the highest featured rates, while ChatGPT trails but still provides meaningful visibility.
Top: 19.1%
Avg citations: 7.4
Top: 19.1%
Avg citations: 8.3
Top: 18.3%
Avg citations: 8.4
Top: 13.9%
Avg citations: 9.6
Top: 14.8%
Avg citations: 4.7
Competitive Landscape
Hotels most frequently featured as primary recommendations in unbranded queries. Filter by market to see relevant competitors.
| Rank | Hotel/Brand | Featured Wins | Type | Primary Markets |
|---|
Source Intelligence
Correlation between citation sources and Palisociety wins. Note: These patterns suggest associations, not causation — many factors influence AI recommendations.
Earned Media: Correlated with Palisociety Wins
| Source | Times Cited | Palisociety Win Rate | vs Baseline |
|---|---|---|---|
| guide.michelin.com | 3 | 33% | +19pp |
| telegraph.co.uk | 3 | 33% | +19pp |
| forbes.com | 27 | 19% | +5pp |
| cntraveler.com | 82 | 15% | +1pp |
Earned Media: Correlated with Competitor Wins
| Source | Times Cited | Palisociety Win Rate | vs Baseline |
|---|---|---|---|
| forbestravelguide.com | 82 | 4% | -10pp |
| architecturaldigest.com | 26 | 8% | -6pp |
| fodors.com | 24 | 8% | -6pp |
| usatoday.com | 9 | 0% | -14pp |
| vogue.com | 3 | 0% | -14pp |
Property Scorecards
All properties ranked by unbranded featured rate. Order updates dynamically when filtering by platform. Carmel properties are combined as they share queries.
Full Query Data
Interactive view of all 650 tests. Filter and sort to explore specific segments.
| ID | Query | Market | Platform | Ment. | Feat. |
|---|
Recommendations
Based on the analysis, the following considerations may help improve Palisociety's visibility in AI-generated recommendations.
1. Gemini & Meta Llama Success Investigation
- Gemini (42.6%) and Meta Llama (39.1%) show the highest featured rates across platforms
- Investigate what content/structure these platforms cite that drives higher visibility
- May reveal content optimization opportunities to improve visibility on lower-performing platforms
2. ChatGPT Optimization Opportunity
- ChatGPT (25.2%) represents the largest opportunity — it's the most widely used consumer AI platform
- Recommend detailed investigation of citation patterns and content structure preferences
- Focus on content that ChatGPT's web search tends to surface
3. Geographic Expansion Priority
- Memphis leads (70.0% featured), Los Angeles strong (65.2%)
- Priority markets: Napa Valley (13.3%), San Francisco (13.3%), San Diego (16.0%), California statewide (16.0%)
- Consider market-specific content campaigns for underperforming locations
4. Content & Review Optimization
- Strong markets show pattern of recent editorial coverage and active review presence
- Focus on OTA profile optimization (TripAdvisor, Expedia, Booking.com dominate citations)
- Consider boutique directory presence (myboutiquehotel.com, mrandmrssmith.com, designhotels.com)
Methodology & Limitations
Study Parameters
- 130 unique queries tested across 5 AI platforms (ChatGPT, Claude, Perplexity, Gemini, Meta Llama)
- 650 total tests conducted January 2, 2026
- Query mix: 15 branded (11.5%), 115 unbranded (88.5%)
- Markets covered: 16 geographic segments across 20 properties
Important Limitations
- Single point-in-time snapshot — AI responses may vary by day, user context, and platform updates
- Query phrasing impacts results — different phrasings may yield different outcomes
- Sample size varies by market — some markets had fewer queries, affecting statistical significance
- No causation claims — correlations between sources and wins suggest patterns, not proven relationships
- Competitive data is incomplete — only captures competitors mentioned in sampled queries
- Platform algorithms change — recommendations may shift as AI systems evolve
- Human interpretation involved — "featured" and "top" classifications involve judgment calls
Scoring Methodology
The AEO Score is a weighted composite: (Featured Rate × 0.7) + (Top Rate × 0.3), providing a 0-100 scale.
- Featured = Among top recommendations (typically top 3-5 hotels mentioned)
- Top = The #1 recommended hotel in the response
- Branded = Quality gate (≥95% confirms proper indexing); not included in score
Current score: (36.5 × 0.7) + (17.0 × 0.3) = 25.55 + 5.10 = 30.7