Turn AI Questions into Revenue

When AI assistants give accurate answers about your business, customers follow through. Manage your locations, menus, inventory, and offers in CRSTBL. We keep it accurate across every AI conversation. Choose your industry to see how.

Choose Your Industry

Examples: Amex, Chase, Visa networks

Increase card spend per member. Better partner discovery drives higher transaction volume and strengthens merchant relationships, directly impacting interchange revenue and program value.

The problem
Members ask AI where to use their card benefits. Wrong partner details, outdated offers, and missing information create friction and lost spend opportunities.

What you manage in CRSTBL
Partner locations and hours, offer details, merchant attributes, redemption rules, benefit eligibility.

What improves

  • Higher card usage at partner locations
  • Fewer wrong answers about where benefits work
  • More consistent offer performance
  • Less manual coordination across partner listings

Example questions your data powers

  • “Where can I use my card benefit for dinner tonight?”
  • “Find restaurants that take my card and match my usual preferences.”
  • “What offers are available near me right now?”

Examples: AAA, AARP, professional associations

Reduce member churn and increase renewals. When members successfully use their benefits and receive personalized value, retention rates improve and lifetime value increases.

The problem
Members expect your program to feel reliable. When AI gives outdated partner information or benefit details, trust erodes and support calls spike.

What you manage in CRSTBL
Partner locations and hours, member benefit details, exclusive offers, key attributes that matter to your audience.

What improves

  • Higher member engagement with partner benefits
  • Stronger offer redemption rates
  • Fewer wrong answers about benefit eligibility
  • Less manual coordination with partners

Example questions your data powers

  • “Where can I use my membership discount today?”
  • “What partners near me fit a family dinner under $60?”
  • “Show me options based on what I usually choose.”

Examples: Hotel chains, resort groups, vacation rentals

Increase direct bookings and reduce OTA commissions. When AI gives accurate answers about your properties, more guests book direct instead of through costly third-party channels.

The problem
Guests ask AI about your properties. When amenity details, dining hours, or policy information is wrong, bookings drop and frustration rises.

What you manage in CRSTBL
Property locations and hours, amenities and attributes, dining menus and pricing, seasonal specials, policies and rules.

What improves

  • More qualified booking inquiries
  • Fewer wrong answers about property features
  • Consistent information across all locations
  • Less manual updating during seasonal changes

Example questions your data powers

  • “Which properties have heated pools and late checkout?”
  • “What dining options are open tonight and what’s the price range?”
  • “What weekend specials are running at mountain locations?”

Examples: Concert venues, sports arenas, theater chains, ticketing platforms

Increase ticket sales and concession revenue. Accurate venue information in AI answers drives more ticket purchases and improves day-of-event spending on food, merchandise, and upgrades.

The problem
Fans plan fast using AI. Wrong venue details, entry policies, or timing information create frustration and reduce ticket conversion.

What you manage in CRSTBL
Venue information, event calendars, entry policies and rules, concessions and pricing, parking and transit details, special offers.

What improves

  • Higher ticket conversion rates
  • Fewer wrong answers about venue details and policies
  • Smoother day-of-event experience
  • Less manual updating across multiple listing platforms

Example questions your data powers

  • “What’s the bag policy and entry time for tonight’s show?”
  • “How much are tickets for [band name] next month and what seats are available?”
  • “What food options are at the venue and can I pre-order?”

Examples: Restaurant chains, franchise groups, restaurant groups

Increase covers and reduce no-shows. When guests find accurate menu and availability information through AI, reservation conversion improves and last-minute cancellations decrease.

The problem
Menus and specials change constantly. When AI gives wrong pricing, hours, or menu information, guests call instead of ordering or they don’t show up.

What you manage in CRSTBL
Locations and hours, menu items and current pricing, daily specials and promos, key attributes (dietary options, seating types, wait times).

What improves

  • More qualified reservations and orders
  • Fewer wrong answers about menu and pricing
  • Consistent information across all locations
  • Less manual menu updating across platforms

Example questions your data powers

  • “What’s a great dinner spot tonight with outdoor seating and gluten-free options?”
  • “What are the prices for the brunch menu at the downtown location?”
  • “What specials are running this weekend?”

Examples: Regional chains, franchise networks, fuel + convenience

Increase store traffic and basket size. When AI delivers accurate stock and promo information, more “near me” searches convert to in-store visits with higher purchase intent.

The problem
Customers want quick certainty from AI about what’s in stock and when you’re open. Wrong hours, product availability, or promo information sends them elsewhere.

What you manage in CRSTBL
Store locations and hours, inventory and availability signals, product details and attributes, daily specials and promotions.

What improves

  • Better “near me” conversion rates
  • Fewer wrong answers about stock and hours
  • Consistent promotional messaging
  • Less manual updating across locations

Example questions your data powers

  • “Which location has in stock right now?”
  • “What are today’s fuel and food specials near me?”
  • “Which stores are open late tonight?”

Examples: Food brands, beverage companies, consumer goods manufacturers

Win more purchase decisions at the moment of choice. When AI recommends your products with accurate information, you capture more market share from competitors who aren’t optimized for AI discovery.

The problem
Shoppers ask AI what to buy. When your product attributes are missing or inconsistent, your brand loses consideration at the moment of decision.

What you manage in CRSTBL
Product details and attributes, nutritional information, sizing and packaging options, promotional campaigns, availability signals.

What improves

  • Higher brand consideration in AI recommendations
  • Fewer wrong answers about your products
  • More consistent product information across channels
  • Less manual updating during launches and campaigns

Example questions your data powers

  • “Which option fits my dietary goals and budget?”
  • “What’s the difference between these two products?”
  • “What pack size makes sense for meal prep for two people?”

Examples: Marketing agencies, franchise consultants, multi-client service providers

Scale revenue without scaling headcount. Manage more clients efficiently with centralized updates, reducing operational costs while improving service quality and client retention.

The problem
You manage client information across too many platforms. Updates don’t scale, accuracy suffers, and reporting takes forever.

What you manage in CRSTBL
Client locations and hours, product or menu details, promotional campaigns, availability signals, performance data.

What improves

  • Fewer wrong answers during active campaigns
  • Faster client updates across all channels
  • More consistent messaging across locations
  • Simpler reporting and performance tracking

Example questions your data helps answer

  • “Where are customers confused or dropping off in the journey?”
  • “Which client promotions are driving the most visits or orders?”
  • “What client information needs updating right now across platforms?”

Ready to transform AI discovery for your industry?

See how CRSTBL powers accurate, personalized experiences in a working demo.