AI visibility for restaurants and hospitality

Diners search by cuisine, dietary needs, location, and booking rules. Repkit reads your public site to see whether menus, hours, and reservation paths are machine-readable, not only Instagram-worthy, because assistants cannot taste the food — they only repeat what you publish in HTML.

Publish menus as HTML text where possible. PDF-only menus or images without transcripts leave assistants guessing ingredients and allergens. If you must use PDF, link it explicitly and summarise top dietary options on the homepage.

State booking policy: walk-ins welcome?, deposits for large tables?, corkage?, children welcome?. Phone-only booking should be a choice, not a surprise hidden until arrival.

Hours need lunch and dinner splits; note kitchen close versus door close. Seasonal closures belong on the page you control, updated when plans change.

Location details: address, nearest landmark, parking, public transport. Multiple venues need distinct pages with unique titles — "Repkit Bistro — Jericho" beats "Locations" with no text. Where you use Restaurant schema, keep hours and postcodes aligned with the visible contact block so Repkit does not flag mismatches between JSON-LD and the footer.

Findings feed your PDF plan and copy edits: clearer dietary labelling, dated set menus, labelled delivery versus table booking, and event capacity rules assistants can quote. Publish llms.txt pointing at menu, booking, and allergen pages when they are public, and keep kitchen hours aligned with footer text after seasonal changes.

Repkit is an AI visibility checker, not a chatbot oracle. It fetches your public HTML, robots.txt, sitemap, and llms.txt when published, then lists checks with evidence a colleague could verify in a browser. That matters for restaurants and hospitality venues because most enquiries still start with plain questions — what you do, where you work, how to book, what you cost, whether you are taking new clients — and assistants paraphrase whatever the open page makes easy to quote. When your homepage is only a slogan, findings will say so, without inventing traffic figures or promising a named rank inside ChatGPT, Gemini, Claude, or Grok. The sample PDF on repkit.ai shows how a finished review reads; your live check uses your URL at the time of the fetch, with the same bands and evidence-led checks whether you later buy the £29 one-off PDF plan from the same review.

Run the free URL check on the homepage or quiz route before you pay, and run it again after material edits so you can see findings move when the public record moves. Guides here cover ChatGPT-style recommendations, llms.txt, and AI visibility versus classic SEO; compare pages explain agency and DIY alternatives without pretending Repkit replaces every marketing skill. Email support@bishop-co-tech.co.uk if you need help reading bands or choosing a lane, or if you need help reading bands on your review. Bishop Co Tech Limited, company number 16240322, operates Repkit from the United Kingdom under the same product you see on repkit.ai — an AI visibility checker reading public pages, not a chatbot popularity contest. The quiz route and homepage flow stay free while you decide; the only paid product is the £29 PDF plan after you have seen the evidence. Improving the public story about your restaurants and hospitality venues is the goal; Repkit does not replace regulated professional duties, clinical judgements, on-site safety work, or legal compliance sign-off where those apply to your field, and it does not ask assistants to endorse you or invent visitor statistics. Read the sample PDF on repkit.ai if you want to preview review layout and tone before you buy the £29 PDF plan.