WORKGROUPS 5 + 6 OUTPUT
Things you should never do
Nine principles to keep your hotel’s AI visibility work grounded in accurate facts, traveler intent, and evidence.
Never publish conflicting or outdated facts
Hotel name, rooms, amenities, policies, fees, location, accessibility, rates, and other critical facts must remain consistent across the website, schema, listings, OTAs, and trusted sources.
Never put channel strategy ahead of customer intent
Do not prioritize strategies by channel alone. Base your AI strategy on customer intent, and make sure every channel supports that intent.
Never make important information hard for machines to access
Do not bury critical facts in images, PDFs, booking flows, or JavaScript-only experiences—or accidentally block relevant crawlers.
Never create thin, generic, or duplicated hotel content
Provide distinctive context: who the hotel is for, what makes it different, where it is, what is nearby, and why it fits a specific traveler need. Add fresh, locally relevant, authoritative content.
Never optimize only for keywords—or one AI engine
Build around entities, traveler intent, questions, context, and evidence—not just keywords or tactics for ChatGPT, Gemini, or another individual platform.
Never rely only on what your hotel says about itself
AI recommendations and grounding depend on corroboration. Reviews, authoritative third parties, destination sources, listings, media, and other credible references matter. A consistent voice across sources matters, too.
Never assume technical readiness equals AI visibility
Technical readiness helps machines find and understand you. It does not mean they will choose or recommend you.
To work toward being chosen, follow the six-stage framework in the full guide → — not just its technical readiness checks.
Never measure AI visibility from one prompt, ranking, or vendor score
Measure presence, accuracy, citations, and recommendation separately and repeatedly across relevant traveler intents and AI surfaces.
Never celebrate visibility when AI has the wrong facts
Being recommended with incorrect policies, amenities, fees, accessibility information, or positioning can be worse than not appearing.
Accuracy before amplification.