Field Notes

How AI is changing hospitality discovery.

Twelve articles on how ChatGPT, Gemini, and Claude are quietly replacing Google for restaurant and hotel discovery — and what owners can do about it. Five themes, anonymized real audit data, no fluff.

I.
Theme · The Shift

AI is reshaping hospitality discovery

2026-04-30
8 min read
⌖ FEATURE

The Search Engine era is ending. Here's what's replacing it.

Google's blue links served the world for 25 years. ChatGPT replaced them in 14 months for high-intent hospitality queries. The implications for restaurants and hotels are larger than the SEO playbook can answer.

2026-04-29
6 min read

Why ChatGPT is now the first stop for restaurant recommendations

A traveler arrives in a new city, opens ChatGPT, asks "best restaurants in [city]," gets five recommendations, picks one. Real examples from London, Paris, and Tokyo — and what it means for your discoverability funnel.

2026-04-28
3 min read

How travelers are switching from Google to AI for hotel discovery

Hotel-specific patterns: stats on AI-first hotel discovery, why hotel chains haven't reacted yet, and the opportunity for boutique properties.

II.
Theme · Mechanics

How LLM recommendations actually work

2026-04-25
9 min read
⌖ FEATURE

What an AI assistant 'knows' about your restaurant — and how

The training-data and grounding pipeline explained for non-technical owners. With a worked example: what ChatGPT actually sees about a typical mid-tier London restaurant.

2026-04-22
6 min read

The grounding problem: why AI sometimes invents restaurant details

Why AI assistants occasionally fabricate menus, hours, or addresses — the mechanism, the cost, and the signal-side hygiene that fixes it.

2026-04-20
4 min read

Inside the recommendation algorithm: signals AI uses to rank you

The 12 signals we've measured most predictive of AI citation. Rough weighting estimates from anonymized audit data.

III.
Theme · Two-Tier Reality

The paid/free AI tier gap

2026-04-15
7 min read
⌖ FEATURE

Why ChatGPT Plus subscribers see different restaurants than free users

The proprietary insight, expanded. Plus subscribers (~12% of users, 4× per-visit spend) get crisper, more decisive recommendations. We measure the gap directly.

2026-04-12
5 min read

The 22-point invisible gap in AI hospitality recommendations

Across 200+ audits, the average gap between paid-tier and free-tier AI scores is 22 points. The distribution, the extremes, and the marketing implications.

IV.
Theme · Tactical

What you can do — concretely

2026-04-08
10 min read
⌖ TACTICAL

10 quick wins to improve your AI visibility this month

Ranked checklist by ROI. Each with effort estimate and expected lift. Most owners can execute the top three in under three hours.

2026-04-05
7 min read

Why your Google Business Profile is your #1 AI signal

Description length, category accuracy, photo upload cadence, post frequency. The single highest-leverage change for businesses outside English-dominant markets.

2026-04-02
3 min read

The English-language gap: how to capture international visibility

Multi-language AI visibility for hospitality businesses serving international tourists.

V.
Theme · Case Studies

Anonymized real audit data

2026-03-28
8 min read
⌖ CASE STUDY

Hotel A in London: a 22-day journey from invisible to top-cited

A budget hotel chain property starting at visibility 38, executing 5 actions over 22 days, ending at 56. Day-by-day timeline with what changed, what didn't, what surprised.

Field notes are useful. Your own visibility audit is more useful.

Get your AI Visibility Score · Free