Case Study · Hospitality & Venues
From low visibility to category leadership in AI-driven corporate experience discovery.
Results at a glance
| Metric | Before | After | Change |
|---|---|---|---|
| Visibility | 9% | 34% | +25pp |
| Share of voice | 5% | 16% | +11pp |
| Top-3 presence | 2 prompts | 12 prompts | +10 |
| Positive sentiment | 43% | 59% | +16pp |
Measured across a tracked prompt set for corporate outing and team experience queries. Our measurement methodology sets out how these are defined and what we treat as reliable versus directional.
About the brand
Area 83 is an adventure resort focused on corporate outings, team offsites and experience-driven events.
Why AI discovery matters for corporate venues
Corporate event planning is increasingly shaped by questions put to AI assistants rather than searched on Google. Queries like:
- "Best places for team outings"
- "Corporate offsite venues near Bangalore"
- "Team experience destinations"
The answer to those questions is the shortlist. Venues that appear get the site visit and the enquiry. Venues that do not are never in the consideration set, and there is no traffic dip to indicate it happened.
The problem: visible, but in the wrong category
This was not a case of absence. Area 83 was appearing in AI answers. The issue was what it was appearing as.
When AI assistants described the venue, they positioned it as a family day out rather than a corporate offsite and team experience venue. So it surfaced for queries about weekend outings and family activities, and was largely absent from the corporate queries that actually drive its bookings.
Alongside that:
- — Low visibility across corporate-focused queries
- — Misalignment with the category language corporate buyers actually use
- — Limited presence in recommendation sets
- — Weak association with the corporate offsite category generally
What Inner Labs did
Repositioned the brand within corporate and team experience categories. The work centred on category association rather than general visibility, since the venue was already being described, just described as something else.
Strengthened presence across relevant discovery platforms. For this category, the sources AI answers draw on are experience booking platforms, travel and review sites, and city guides. A different set from the one that matters for wedding venues, which is a distinction most venues are unaware of.
Aligned content with corporate-focused queries so the language on and off the site matched how corporate buyers actually phrase what they are looking for.
Results
Visibility across corporate queries rose from 9% to 34%, and share of voice from 5% to 16%. Top-3 presence went from 2 prompts to 12. Positive sentiment, the share of mentions that described the venue favourably, moved from 43% to 59%.
The more meaningful outcome is category association: the venue is now recognised as a corporate offsite and team experience destination rather than a family activity centre.
What this means more generally
Being visible is not the same as being visible in the right category.
A brand can appear consistently in AI answers and still be absent from every query that matters commercially, because the model has associated it with an adjacent category. That is a different problem from low visibility and it needs a different fix. Measuring overall visibility alone will not surface it.
If your brand serves a specific buyer, check whether AI answers describe you as serving that buyer, not just whether they mention you at all.
About the author
Founder, The Inner Labs
Yohann John is the founder of The Inner Labs, an AI discovery and answer engine optimization platform for brands across India and the GCC. He works with retail, fintech, real estate and hospitality brands on how AI assistants describe and recommend them.
Team profile