AI and Cost-of-Living Squeeze Change How Brits Pick and Review Pubs and Restaurants

AI and Cost Pressures Are Rewriting How UK Guests Choose Restaurants, Pubs, and Bars

AI is now a mainstream discovery channel for hospitality. An exclusive UK study from Reputation and CGA by NIQ shows 26% of consumers use AI tools like ChatGPT to research venues-on par with Google Maps (27%) and close to social platforms (32%).

Pair that with tighter household budgets and you get a clear signal: guests are researching smarter, comparing harder, and trusting AI summaries as much as traditional sources.

The headline numbers

• AI assistants: 26% use tools like ChatGPT to learn about venues.
• Google Maps: 27% still a key channel, but no longer alone.
• Social platforms: 32% remain influential for discovery.

For operators, this shifts the battleground from single-platform SEO to multi-surface visibility: AI answers, maps, social, and reviews all feeding the same decision.

What this means for operators

• AI will summarize you. If your menus, hours, pricing cues, and reviews aren't clear and consistent, AI tools will fill the gaps-or miss you entirely.
• Value is the filter. Economic pressure rewards transparent pricing, set menus, and obvious deals. Guests want certainty before they book.
• Reviews drive the narrative. Specific, recent reviews are getting quoted inside AI answers. Vague praise doesn't move the needle.
• Local SEO isn't enough. You need data that both search engines and AI models can parse: structured data, consistent NAP, and clean profiles across platforms.

30-day action checklist

• Fix the facts: Ensure hours, location, phone, menus, dietary notes, and booking links match across your site, Google Business Profile, Apple Maps, and major listings.
• Add structured data: Implement Restaurant schema with Menu and AggregateRating so AI tools can read your pages cleanly.
• Publish FAQs: Short answers to common questions (parking, allergens, kid-friendly, gluten-free, set menus, private hire) help AI surface the right details.
• Refresh menus: Put full, crawlable menus on your site (no image-only PDFs). Add pricing signals for set menus, lunch deals, and pre-theatre offers.
• Review pipeline: Ask for reviews within 24 hours of visit. Aim for specifics (dish, service moment, occasion) and recent photos.
• Check your AI presence: Ask AI tools for "best [cuisine/type] near [area]" and note whether you appear, what's quoted, and what's missing.
• Track discovery: Add UTM tags to reservation/menu links to see which channels drive bookings and adjust budget accordingly.

Make reviews work harder

• Respond with substance: Highlight dishes, improvements, and event options in replies-these lines can appear in AI summaries.
• Promote moments: Encourage guests to mention occasion (birthday, work lunch, pre-gig). This signals relevance for AI and social algorithms.
• Photo-first: Ask for 2-3 photos (dish, interior, group). Visuals get pulled into carousels and increase click-through.

Build for AI discovery

• Consistent data: One name, one address, one phone everywhere. Remove duplicates and fix typos.
• Event-friendly info: List private dining specs, minimum spends, AV, set menus, and capacities on-page-LLMs quote this.
• Local context: Add pages for pre-theatre, match days, or neighborhood guides. These pages rank and feed AI answers.
• Value cues: Clearly show lunch specials, kids-eat deals, bundles, or loyalty perks. Economic pressure makes this content decisive. For macro context, see UK CPI data from the Office for National Statistics.

Team enablement

• Script the ask: Train staff to request specific, photo-rich reviews and to mention the booking link in follow-ups.
• Short AI workflows: Use AI to draft FAQ answers, respond to reviews, and summarize guest feedback into weekly ops actions.

Want structured AI training for your team?

Your crew can learn practical prompts and workflows geared to hospitality ops and marketing. Explore role-based options here: AI courses by job and quick wins for front-of-house marketing with ChatGPT playbooks.

The takeaway is simple: treat AI answers like a new front door. Make your data clear, your value obvious, and your reviews specific-and you'll meet guests where they decide.