Blog
Honest answers, with sources.
Reviews, maps and AI visibility for people who run rooms. Every statistic linked to consulting research, industry reports or academic work — the way we'd want to read it ourselves.
How do I make ChatGPT recommend my restaurant?
Nobody can force a recommendation — but our census of 4,776 venues measured exactly which inputs get a restaurant into AI answers. Here are the five steps, in the order the data supports.
Vladimir PiteninSep 2, 2026
Google just put AI inside the map: what Ask Maps means for your venue
Ask Maps reached 150+ countries on August 6. Google hasn't published how it picks venues — but our census study measured the same machinery, and three findings are the best guide available.
Vladimir PiteninAug 27, 2026
How to get more Google reviews for your restaurant: what works in 2026
Ask every guest at the natural pause and make the review effortless — the system that works, what the research says reviews are worth, and the shortcuts that backfire.
Vladimir PiteninAug 25, 2026
At least 85% of restaurants are invisible to AI. We measured an entire market to find out why.
We audited every café, restaurant and bar in two markets against ChatGPT, Claude, Gemini and Perplexity. 85.6% were never recommended once — and we found what separates the rest.
Vladimir PiteninAug 10, 2026
QR code for Google reviews: the complete setup guide for cafés and restaurants
How to create a review QR code the right way — the correct Google link, formats that actually get scanned, placement that works in a real dining room, and how to know it's working.
Vladimir PiteninJul 17, 2026
How to respond to negative restaurant reviews — with templates that don't sound corporate
Five copy-paste response templates for the most common bad-review scenarios, the research on why replying lifts your ratings, and the three mistakes that make a one-star review worse.
Vladimir PiteninJul 17, 2026
How to remove a negative Google review (and what to do when you can't)
The honest answer: Google only removes reviews that break its rules. Which ones qualify, how to report them step by step — and the playbook for the negative reviews that stay.
Vladimir PiteninJul 17, 2026
Inside Norly: how we engineer AI visibility for restaurants
A candid tour of how each Norly feature maps to the signals AI assistants read — steady detailed reviews on every platform, private negativity handling, and proof it's all actually happening.
Vladimir PiteninJul 16, 2026
What the research actually says about AI visibility: 5 studies, explained
GEO advice is everywhere; evidence is rarer. We read the peer-reviewed papers and consulting studies on AI search so you don't have to — here's what holds up, explained for restaurant owners.
Vladimir PiteninJul 16, 2026
How to make your restaurant visible to AI: a practical guide
Guests now ask ChatGPT and Google's AI where to eat. Six practical moves — data consistency, detailed reviews, earned media and more — that decide whether the answer includes you.
Vladimir PiteninJul 16, 2026