Marketing intelligence for restaurants
"Where should I eat" is one of the most asked questions there is, and the answer no longer comes from a search page. It comes from an assistant naming four places on criteria nobody has examined.
What makes restaurants and food service brands different
Recommendations are per neighbourhood, not per brand
A chain can be highly visible citywide and invisible in the three localities that actually matter. Brand-level tracking hides that completely.
Aggregators and city guides are the cited sources
Delivery platforms and listicles get quoted. The restaurant’s own site, if it has one, usually does not.
Creator meals are the least measured spend in food service
A hosted table has a hard cost. Almost nobody compares covers before and after against a baseline.
These questions are being answered without you
Assistants answer category questions with a handful of brand names. Noma tracks whether yours is one of them, across ChatGPT, Perplexity, Gemini, Claude and Grok.
- best cafes in Indiranagar for working
- where to eat authentic Andhra food in Hyderabad
- best rooftop restaurant in Mumbai
- is [restaurant] good for a large group
Three agents, three separate jobs
Know the audience is real before you pay for it
Creator budgets in restaurants are set against follower counts, which is the number most likely to be bought.
- TruAI scores follower quality profile by profile, calibrated for Indian accounts
- Forecast expected return before the brief goes out, not after the invoice
- Attribute sales to the product, so you learn which creator sells what
Be named when an assistant answers
Category questions are increasingly answered with a handful of brand names, chosen without anyone visiting a website.
- Daily tracking across ChatGPT, Perplexity, Gemini, Claude and Grok
- Share of voice per prompt, and which competitor is named instead
- A 12-point audit of whether your pages can be quoted cleanly
Find the spend that is not working
Read-only access to Meta and Google Ads, explained in plain language rather than another dashboard.
- Creative fatigue flagged before performance drops
- Wasted spend pinpointed at campaign, ad set and creative level
- A full account audit the moment you connect
Playbooks worth starting with
- AI Search VisibilityWhat Is Share of Voice in AI Search and How Do You Actually Measure It?
- AI Search VisibilityHow to Run a Competitor AI Visibility Audit in One Afternoon (No Agency Required)
- Influencer MarketingHow to Find Micro Influencers in India Who Actually Drive Sales (Not Just Engagement)
- Brand & Content StrategyTreatonomics: How India & Global Social Commerce Are Driving the “Little Treat” Economy (2026)
- Paid MediaHow to Cut Your Meta Ads Cost Per Purchase Without Reducing Your Budget
Common questions
How does AI visibility work for a restaurant with several outlets?
It has to be tracked per location, because that is how the question gets asked. Nobody asks for the best restaurant in India — they ask for the best one in a neighbourhood, and each of those is a separate answer built from separate sources. A brand-level view will tell you things are fine while three outlets are absent from every answer in their own catchment. The prompt set should mirror how customers actually ask: locality, cuisine and occasion.
Stop guessing which half is working
Nia, Noma and Pulse work independently. Start with the one that hurts most.