Three steps, no fluff.
No retainers for activity that goes nowhere. We measure, we fix, and you show up. Here is exactly what each step means and what you can expect.
We audit
We start by measuring reality. We ask the assistants your guests use, ChatGPT, Perplexity, Claude, and Google AI, the questions diners actually type: a good place for a birthday dinner, somewhere with vegan options nearby, where to book for a group. Then we check whether your name comes up, how you are described, and whether you are cited as a source. You get a clear score and the reasons behind it. Nothing moves until we both know the starting point.
We fix
Next we fix what makes you hard to read. That means valid schema for your menu, hours, and location, answer-shaped pages for the questions guests ask, an llms.txt file, and review and reputation signals that point back to you. These are the things that let an assistant understand your restaurant with enough confidence to recommend it. We ship the work, we do not just hand you a list.
You appear
Visibility only matters if it fills tables. As the fixes take hold, you begin to surface in the answers assistants give to local dining questions, and we keep watching. Each month we re-run the audit, track your movement, and tell you what changed and what we are doing next. The work is measured, not assumed, so you always know where you stand.
Honest about the work
We will not promise a number one spot, because no honest agency can control what a model says. What we can do is make your restaurant the clearest, most trustworthy option an assistant can find, then prove the movement month over month. If a fix will not help, we will tell you.
See where you stand, free.
Send your restaurant website. We run a real audit and email you the score, plus the three things hurting you most right now.
- How AI assistants describe and recommend you today.
- The competitors coming up ahead of you.
- A short, prioritised list of what to fix first.