CitedAgainPart of the ImageORM suite
CitedAgain · Industries

AI visibility for restaurants and cafes

How restaurants get recommended in AI answers about where to eat, cuisines and occasions, using real, current information about the venue.

When someone asks AI about restaurants in your area, the answer should be you, described accurately, from real information.

Your restaurants buyers now ask AI first

Before a customer ever calls or clicks, they ask an assistant. They type a question into ChatGPT, Claude, Gemini or Google, read the single answer they are given, and act on it. If that answer does not name your restaurant business, for that customer you do not exist.

The businesses that win in restaurants are no longer only the ones ranked first on Google. They are the ones the model repeats when someone asks who to trust.

The real questions buyers ask in restaurants

These are the moments that decide who gets chosen. A few examples we research and answer for clients:

Every one of these is a chance to be the recommended name, or to be left out while a competitor is named instead.

Why real information is the whole game

Diners ask AI where to eat by cuisine, area and occasion. Models answer from real, current information about the venue. Restaurants with accurate, specific content get named for the right occasions; those with none are simply left out while nearby competitors are recommended.

Real data, not spun text. AI models increasingly detect and discount templated, invented or duplicated content. Durable visibility is built on real, verifiable information that genuinely helps the reader.

This is the core of how CitedAgain works. We do not mass-produce generic filler. We run real research and scraping across your market, find what people actually ask, and publish accurate, specific content that answers it.

What we publish for restaurants

Each month we research, write and publish across a network of 20 specialised sites, all indexed on Google and Bing. For a restaurant business that typically includes:

A realistic example

A restaurant was invisible for local dining questions. After publishing accurate cuisine guides, occasion round-ups and menu explainers, it became the recommended answer for family dining in its neighbourhood across several assistants.

How it works, start to finish

You tell us your website once. From there, every month we scan your market, gather real data, publish across the network, submit everything for indexing, and report what went live and where views came from. You pay and forget while the presence compounds.

CitedAgain is the AI answers module of the ImageORM suite, running real online reputation work since 2015 as part of the Astrarow Group.

Questions

Does this replace Google Maps and reviews?

No. It works alongside them, making sure AI describes and recommends you when diners ask.

Do you invent reviews?

Never. All content is built on real, verifiable information about the venue.

How local is it?

Neighbourhood level, matching how diners actually ask.

Keep reading

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