The problem
Guests are asking AI where to eat.
"A family restaurant near me." "Somewhere good for a group of twelve." "The best brunch in town." Guests now put those questions to ChatGPT, Gemini, Perplexity and Google's AI answers, and the engine names a few places. It does not show a list of twenty.
For a multi-unit operator that raises hard questions. Is the brand named for the occasions it wants to win, or only for one? Is each location represented accurately, with the right hours, menu and address?
We measure this the same way for every operator: real dining questions, asked of the engines with live search on, with every answer stored and the restaurants they name recorded. Being on a map and being named by AI are different questions, so we check them separately.
Deep operating expertise
Built by people who have run the operation.
We have led restaurant and hospitality businesses through growth, turnaround, transformation, technology adoption, sales execution, training, and customer-success initiatives.
Our experience spans multi-unit and franchise operations, field leadership, support-center environments, enterprise foodservice, restaurant technology, and commercial growth, working with operators, franchisees, location teams, vendors, and executive leadership to improve performance at scale.
We have carried responsibility for the outcomes: sales, adoption, guest experience, team performance, operational consistency, and profitable growth. Not just the recommendation deck.
The Janua framework
Be found. Be chosen. Run smarter.
Named for the occasions you want
Measure which dining questions name your brand and which name a competitor, then strengthen the pages, listings and facts the engines read for each location.
The same right answer everywhere
Hours, menus, dietary questions and large-party requests answered from information the brand approved, with a clean handoff to the location when a person is needed.
Operating data leaders can act on
Bring sales, guest, labor and marketing signals together so leaders see what changed by location and where to act, and put AI into the workflows that earn it.
Where AI can help
Restaurant use cases.
These are possible applications, scoped with each operator. They describe where the work can go, not systems that already exist for your brand.
AI visibility and local brand representation
How AI engines describe the brand and each location, which occasions name you, and who is named instead.
Guest questions and customer information
Consistent, approved answers to the questions guests ask before they visit, call or book.
Multi-location and franchise knowledge support
One approved source of standards and answers that locations and franchisees can draw on.
Sales, guest, labor, marketing, and operating data intelligence
The signals already in your systems, brought together around the decisions leaders make.
Field operations and support-center workflows
Fewer repeat questions to the support center, faster answers in the field, with a record of who approved what.
Training, SOP, and standards access
Standards and procedures that a manager can find and follow on a busy shift.
Leadership reporting and executive intelligence
A short, reliable view of what changed across the system and why it matters.
How an engagement runs
Assess. Prioritize. Implement. Validate. Monitor. Scale.
- 01
Assess
How AI represents the brand and its locations today, and where data and workflows stand.
- 02
Prioritize
The few opportunities with the clearest impact for guests, locations and the support center.
- 03
Implement and validate
Build or fix, then re-measure with the same method so the before and after compare.
- 04
Monitor and scale
Watch for change month to month, and extend what has proven itself across more locations.
No one can guarantee a specific AI answer, ranking, citation, or recommendation. Janua's work improves the measurable foundations that help AI systems and guests find, understand, and accurately represent your brand and locations.
Start with how AI sees your brand today.
A focused conversation about your locations, the occasions you want to win, and where practical AI can help.