AI content strategy for hotels: write the answers people actually ask for
Most hotel content calendars are a list of topics someone found interesting. This one starts from the questions your own guests type, keeps only the ones worth measuring, and puts a number next to every entry.
AI sessions measured across the sites we track, last 30 days.
Quick answer
An AI content strategy for hotels builds the editorial plan from measured demand rather than from a keyword list. reporte.ai reads a property own Search Console queries, groups them into the conversational questions a guest would actually ask an assistant, and measures only the ones worth the money. In the pass of 3 and 4 September 2026 that produced 57 questions across 7 domains, unevenly split from 1 question on the smallest property to 29 on the largest, 285 measurements and 0 errors.
Where the questions come from
The discovery engine starts with something the property already owns: the real queries in its Search Console. Those are short and typed for a search box, so they get regrouped into the longer, conversational form a guest uses with an assistant, which is where the buying intent is legible. A query like beach camping granada becomes a question about which sites near the Costa Tropical have direct beach access in August and what they cost.
Then the set gets cut. Measuring every question would be waste, because most of them either have no commercial intent or are answered without ever naming a business. The uneven split across the seven domains in the September pass is the point: a small property with one clear question gets one question measured, not a package of fifty. The content team gets a brief where every entry can explain why it exists, which is the same discipline behind the content plan.
What to write is decided by the gap
Once the questions run, the gap tells you what to write. Three gaps show up repeatedly and each one needs different work.
The first is absence. In the September pass, 4 of the 7 domains measured appeared in none of the five surfaces. There is nothing to optimise there yet, the job is to publish an answer that exists.
The second is being cited without being named. The best performing domain in that pass appeared on all five surfaces but was written into the body of the answer on only two, ChatGPT and Google AI Mode. Sitting in a source list is not a mention, and moving up requires a specific attributable claim, a number, a distance, a price, something a model can repeat and attribute.
The third is when the citation is not going to a page at all. On local questions Google AI Mode drew 34 of 41 references from Google entity panels in our test, so writing another page is the wrong response and the business profile is the right one. That distinction is argued in full in hotel AEO.
What it costs to keep the plan honest
A content plan that is never re-measured decays into opinion within a quarter, so the cost of measuring is part of the cost of the plan. The 3 and 4 September 2026 pass cost 10.46 USD in total: per question, 0.0040 USD on Google AI Mode, 0.0129 on Perplexity, 0.0415 on Gemini, 0.0456 on Claude and 0.0796 on ChatGPT.
That spread is a real editorial constraint and almost nobody publishes it. The cheapest surface is nearly 20 times cheaper per question than the most expensive, and in that pass it also produced the most appearances, 14 of 57 questions against 10 for ChatGPT, across 7 domains of our own travel network rather than one hotel. That was one pass, and a single reading proves nothing. A team on a tight budget can measure the full question set weekly on the cheap surfaces and the expensive one monthly, and still be measuring rather than guessing. What the traffic then does is in AI traffic tracking, and how to budget the whole channel is AI search marketing.
FAQ
From the real Search Console queries of the property, regrouped into conversational questions and then filtered down to the ones worth measuring. In the 3 and 4 September 2026 pass that left 57 questions across 7 domains, from 1 on the smallest property to 29 on the largest.
As many as it has unanswered measured questions, which for a small property can be a handful. One of the domains in our 3 and 4 September 2026 pass justified a single measured question. Publishing on a schedule instead of on evidence is how hotel blogs end up with fifty posts and no citations.
Not by itself. On local questions in our September 2026 test, Google AI Mode took 34 of 41 references from Google entity panels rather than websites, so more pages would not have moved that answer. Content wins where the citation actually goes to a page.
It can draft, and reporte.ai does produce drafts, but the facts that make a page quotable are yours: distances, prices, opening months, capacity. The plan itself is measured, 57 questions across 7 domains in the pass of 3 and 4 September 2026, and a draft with invented amenities is worse than no page, so every draft ships as an editable starting point and never as an automatic publication.
By re-running the same questions on the same five surfaces and comparing. The unit is a pass, which cost 10.46 USD for 57 questions on 3 and 4 September 2026, and the two things that can improve are separate: appearing in the source list, and being named inside the answer text.
That is the common case and it is where the plan starts. In the 3 and 4 September 2026 pass, 4 of the 7 domains measured appeared in none of the five surfaces. The first deliverable there is a baseline and one answer that exists, not a promise of citations.