Get cited by ChatGPT, Claude, and Perplexity — when restaurants become the answer.

Yes — that is the entire goal. AI Visibility (AEO + GEO) is built to make your restaurant one of the named answers when a diner asks ChatGPT, Claude, Perplexity, or sees a Google AI Overview for prompts like “best [cuisine] near me” or “where to eat tonight.” We work on the signals those engines actually read — restaurant-specific FAQPage schema, Schema.org markup so the engine categorizes your cuisine, hours, and service style correctly, and a clear entity graph so the AI knows exactly which establishment you are. The point is to be the extractable, citable answer at the moment a hungry diner is deciding, not just a link buried on page two.

The difference is that the work is tuned to how restaurant decisions actually get made, not a one-size-fits-all template. Generic AEO/GEO firms apply the same schema-plus-FAQ playbook to every industry and miss the signals that matter for hospitality — cuisine, “near me” intent, photos, and a decision window that can run from 30 seconds to a couple of hours and is mostly same-day. We tune FAQPage schema to the questions diners and event planners really ask, build long-form content with named-author bylines so engines trust the source, and clean up entity ambiguity across surfaces like Wikidata and the Google Knowledge Graph. The plumbing may look similar on the surface, but it is pointed at restaurant buyer behavior.

It targets the real questions a diner, family, or event planner asks an AI engine before choosing where to eat or book. Think prompts about cuisine and dietary needs (“Is there a good gluten-free option?”), occasion fit (“a quiet spot for a date” or “somewhere that can seat a large group”), service style and logistics (dine-in versus takeout, reservations, private events, catering), and timing (“open late,” “good for lunch”). We structure those into FAQPage schema so AI engines can lift a direct, accurate answer about your restaurant — which is how you become the cited result instead of a competitor whose page the engine can read more cleanly.

Yes — the service supports independent restaurants, multi-unit operations, QSRs, fine dining, food trucks, and catering. For multi-location and franchise or chain setups, the work focuses on clean entity and schema structure so each location is recognized as its own answerable place, while the brand stays consistent across AI engines. That keeps an AI engine from confusing your downtown room with your suburban one, and helps each location surface for its own local “near me” prompts. The right architecture for one independent restaurant looks different from a multi-unit brand, so the approach is scoped to your footprint.

You see it through monthly citation tracking across ChatGPT, Claude, Perplexity, and Google AI Overviews. Rather than guessing, we monitor whether your restaurant is showing up as a named answer for the prompts that matter to your concept and market, and we track changes over time so the work is measurable. AI visibility builds gradually as engines re-crawl and re-trust your entity, so the tracking is there to show progress and steer what we optimize next — not to promise a specific number of citations on a fixed date.