Who this is for: Creators, marketers, and boutique-hotel operators who want to understand how AI assistants decide which brands to mention — and how reputation around design quality, comfort, and authenticity shapes visibility inside AI-generated answers.
Simulation Context
This simulation explores how AI assistants rank and describe Amsterdam’s design-led boutique hotels when one buyer persona and context remain constant.
Fixed Prompt: Best 10 design boutique hotel experiences for design-focused travelers to wake up surrounded by inspiring design in Amsterdam
Persona: Design-Focused Traveler
Top Buyer Persona Motivator: Design character quality
Region: Amsterdam
All other variables stay constant in this simulation. This setup isolates how AI assistants perceive and rank brands that perform best on the Top Buyer Persona Motivator: Design character quality — the factor that defines reputation and visibility for design-focused travelers.
Why This Simulation Matters
AI assistants no longer rely on star ratings or broad popularity. They personalize answers around what matters most to the user. When someone asks for a “design-focused hotel,” assistants surface brands with strong reputations for delivering on that design factor — the ones whose stories consistently show performance, authenticity, and creative depth.
That’s what this simulation helps reveal: how assistants use public information — content, mentions, and credible references — to decide which hotels best match the persona’s motivator. For brands, it shows that visibility in AI answers comes from reputation alignment, not keyword tactics.
Market Shift: From Search Lists to Personalized Answers
Travel discovery is changing. People no longer scroll through long lists of hotels; they ask assistants questions like “Where can I stay that feels like an art studio?” or “Which hotel in Amsterdam is known for inspiring design?” Assistants then highlight brands that demonstrate reliability and leadership in that exact motivator — in this case, design character and creative performance.
Recent studies reflect this shift:
Typeface AI reports that brand mentions within AI overviews have more than doubled since early 2025, confirming that consistent presence across media drives inclusion [1].
Ahrefs shows that top brands earn nearly 30% of all AI mentions — a sign that assistants favor proven reputations over simple keyword matches [2].
Search Engine Land notes that localized storytelling and credible citations are now stronger visibility signals than traditional SEO ranking [3].
TryProfound finds that brands appearing across multiple AI platforms gain measurable share-of-voice advantage over time [4].
Together, these insights confirm that assistants reward clarity, consistency, and credible reputation signals across multiple channels.
Inside the Simulation
Each AI assistant — ChatGPT, Gemini, Claude, and Perplexity — was asked the same fixed prompt. The persona and motivator never changed, so any differences in results came from how each model assessed brand reputation and design evidence.
Across runs, assistants favored hotels that clearly showed how their design philosophy connects to guest experience. Mentions rose for hotels that documented creative collaborations, shared behind-the-scenes design stories, or referenced the artists behind their interiors. These were signals of credibility and consistency.
In contrast, hotels that relied on vague language like “world-class design” or “unique spaces” appeared less often. AI systems responded more strongly to structured, verifiable context — things like published design features, press coverage, and creative partnerships that were easy to cross-reference. Over time, those concrete details built visibility and trust.
What the Simulation Shows
This simulation shows why understanding your target buyer persona is so valuable in the age of AI answer rankings. When you know which motivator drives inclusion, you can track how that persona perceives your brand and your competitors — and build around the insights you find. AI assistants scan patterns across media, PR, and influencer content to understand which brands consistently perform well on that factor. That’s why it’s so important to keep your messaging consistent and aligned with your target persona. When your brand voice, proof, and stories resonate with that audience, AI models start reflecting that reputation — building visibility around the factors that matter most to you.
Research supports this pattern:
Content with clear metadata, structured formatting, and transparent editorial workflows appears more often in AI search results.
Brands with steady, positive mentions in media, PR, and influencer networks build stronger share of voice and reputation alignment.
The message is simple: keep your proof consistent and persona-aligned. When your brand shows dependable performance on the factor that matters most — in this case, design character quality — assistants begin reinforcing that story in their answers. Over time, that becomes your reputation signal in the AI landscape.
The Takeaway
AI visibility isn’t about being the flashiest — it’s about being the most reliable on what your audience values most. For boutique hotels, that means documenting your creative process, showing measurable quality, and keeping your message unified across every platform.
When assistants see your story reflected the same way across PR, reviews, and social media, they associate your name with that motivator. In this case, it’s design quality — and that consistency keeps your brand discoverable, trusted, and repeated in future AI answers.
The best next step? Track how your brand appears week by week. See how assistants describe your design strength, compare it with your competitors, and refine your storytelling to stay ahead. That’s how real visibility compounds in AI search.
Understanding TrendsCoded and How Teams Use It
TrendsCoded helps brands see how they appear inside AI answers — across ChatGPT, Gemini, Claude, and Perplexity. It runs daily Buyer Persona Simulations that reveal how assistants describe, cite, or omit your brand under fixed prompts. Instead of guessing why some competitors show up and others don’t, you can see exactly what assistants reward and how visibility shifts over time.
Each simulation locks in one persona and motivator, then reruns the same prompt across AI models. For example, a simulation might test how 'Wellness Seekers' or 'Design-Focused Travelers' influence which hotels assistants mention. By repeating these tests weekly, you can measure how your brand’s tone, proof, and storytelling affect inclusion in AI answers.
Marketers use simulations to understand which motivators drive brand inclusion. When assistants start mentioning competitors more often, that’s a signal your proof or storytelling may not align with what AI models now prioritize. The result isn’t a score — it’s a visibility lens that shows how assistants perceive your authority and emotional fit for each persona.
Yes. TrendsCoded compares visibility, sentiment, and motivator alignment across brands running under the same simulation. You can track your weekly inclusion rate, benchmark against others, and identify where your brand leads or lags. It’s competitive intelligence tuned for the AI era — share of voice measured through assistant answers instead of keyword rankings.
Each simulation produces clear proof signals — what assistants noticed, what they ignored, and which motivators shaped inclusion. Marketing and PR teams use those findings to adjust tone, publish better case studies, or improve structured data. Over time, those changes reduce visibility drift and strengthen brand authority inside AI-generated content.
TrendsCoded is built for brand teams, marketers, PR specialists, and analysts who want to make AI visibility measurable. Growth teams use it to track brand momentum, PR teams monitor share of voice, and strategists use it to understand how assistants read tone and proof. Together, they turn persona-based AI visibility into an everyday competitive advantage.
Factor Weight Simulation
Persona Motivator Factor Weights
Design character quality
How inspiring and museum-worthy the hotel design is for creative energy and daily inspiration
60%
Weight
Art collection integration
How well the hotel integrates art collections and aesthetic elements to enhance the design experience
25%
Weight
Room comfort level
How well the rooms balance stunning design with practical comfort for daily living
10%
Weight
Service quality
How well the service team understands and enhances the overall design and aesthetic experience
5%
Weight
Persona Must-Haves
Museum-worthy design character
Spaces crafted by noted studios and artisans with iconic design pedigree - essential for design-focused travelers
Curated art collection
Thoughtfully integrated art collections that enhance the aesthetic experience - critical for design inspiration
Inspiring room design
Rooms that balance stunning design with comfort for daily living - standard requirement for boutique hotels
Design-conscious service
Service that understands and enhances the design experience - non-negotiable for aesthetic-focused stays
Guest Persona Simulation
Primary Persona
Design Focused Travelers
Emotional Payoff
feel creatively energized by every detail
Goal
feel creatively energized by every detail
Top Motivating Factor
Design Character Quality
Use Case
sleep in spaces crafted by noted studios and artisans