Track, compare, and act

Hotel Share of Voice in AI Answers

Detection rate tells you whether AI names your hotel. Share of voice tells you who it named instead.

Share of voice for a hotel is the proportion of AI answers to the same set of traveler questions that name your hotel compared with each tracked competitor, measured in one scan so the comparison is like for like, and it is the only way to tell a question nobody wins from a question one rival owns outright.

Key takeaways

  • ✓Detection rate is a solo number. Share of voice scores the same questions across you and your named competitors at once.
  • ✓Two hotels can sit at the same low detection rate for opposite reasons: nobody is named, or the same rival is named every time.
  • ✓Co-citation shows which hotels an engine names alongside yours, which is that engine's own view of who your substitutes are.
  • ✓Shares routinely add up to more than 100%, because one answer can name several hotels. Any chart that forces them into a 100% stack is wrong.
  • ✓Pick competitors the answers already name, not the ones on your rate-shopping list.

What share of voice means for a hotel

Detection rate answers one question: out of the traveler questions you track, how many name your hotel. Share of voice answers a harder one: on those same questions, who got named instead of you, and how often.

The arithmetic is worth being explicit about because it surprises people. One answer can name three hotels, and each of them gets a mention. The shares are therefore independent of each other rather than slices of a fixed pie, and they can total well above 100% across a set of competitors. If you see share of voice drawn as a stacked bar adding to exactly 100%, the chart is misrepresenting the measurement.

Why detection rate alone hides the real problem

Picture two hotels that both score 10% detection. In the first case, 90% of the answers name no hotel in that category at all: the engine is hedging, or the question is too vague for it to commit. In the second, 90% of the answers name the same competitor. Those are the same number and completely different situations.

The first is a market gap and the work is to be the first clear answer to a question nobody currently owns. The second is a competitive loss and the work is to appear in the places that competitor already appears. Without a comparison you cannot tell which one you are in, so you cannot tell which of those two jobs to do.

Co-citation: which hotels AI treats as your substitutes

When your hotel is named, pay attention to who is named in the same breath. That set is the engine's working answer to "what else would this guest consider", assembled from everything it has read rather than from your own positioning.

It often disagrees with the comp set a revenue manager would write down. A hotel that prices against three nearby properties of the same class may find the answers pair it with somewhere cheaper two neighbourhoods away, because the engine is grouping by the trip the guest described rather than by rate or star rating. That disagreement is useful information about how guests arriving through AI are framing their choice.

How to pick the right competitors to track

Derive them from your own answers. Run the questions, write down every hotel named in place of yours, and count. The ones that recur are your real competition for the citation, whatever your rate shop says.

There is a practical limit worth planning around. Tracked competitors cost measurement capacity, so plans cap them: one on Radar, three on Essential, five on Pro and Group. That cap is a feature in the sense that it forces a decision. Three competitors you chose from evidence will teach you more than ten chosen from habit.

Doing this by hand, and where it breaks

A general manager can do a usable version in twenty minutes: one question, two engines, note which hotels appear. That is enough to find out whether you are in a market gap or losing to a specific rival, which is the main thing.

Where it breaks is repetition. These answers are not deterministic. Ask the same question twice and you can get two different sets of hotels, so a single run is closer to a coin flip than a measurement. Getting a number you would act on means asking the same questions repeatedly over time, and that is the point at which the manual version stops being practical rather than the point at which it stops being accurate.

What a real market looks like

Our Prague destination report is a worked example of share of voice at city scale. Across 320 real answers to 46 non-branded questions about where to stay in Prague, Four Seasons Hotel Prague was named 91 times. The rest of the top ten ran from 60 mentions down to 29. No single hotel came close to owning the market, and the gap between third and tenth was narrower than most hoteliers would guess.

Two hotels in that top ten are Staylight customers with published case studies, Mosaic House at 51 mentions and Golden Well at 49, and we disclose that on the report itself rather than presenting the list as if we had no relationship to it. The snapshot is observational: it shows who the engines named in a particular week, and it does not demonstrate that being a customer caused the placement.

What to do when a competitor owns a question

Find out why they are there before deciding what to do. Read the citations in the answers that name them. Usually the competitor is not winning on their website: they are winning because two or three editorial or local sources that the engine trusts mention them in this context and do not mention you.

That makes the work specific rather than general. You are not trying to be better than them overall. You are trying to be present in the handful of places the engine consults for that particular question. Our guide on why AI recommends OTAs instead of your hotel covers how to pull that list of places out of your own answers.

Questions

What is share of voice in AI search?

It is the share of AI answers to a fixed set of questions that name your hotel, measured alongside the same figure for each competitor you track, so you can see who the engines name when they do not name you.

How do I know which competitors to track?

Take them from your own answers rather than your rate shop. Run the questions a guest would ask, list every hotel named instead of yours, and track the ones that keep recurring. Those are competing with you for the citation, which is a different contest from competing on price.

Why do the share of voice percentages add up to more than 100%?

Because one answer can name several hotels, so each named hotel gets a mention and the shares are independent rather than slices of one pie. Totals above 100% across a competitor set are normal and expected.

Can I check my hotel's share of voice manually?

Yes for a rough read, no for a number you would act on. One question across two engines will tell you whether you are in a market gap or losing to a specific rival. Because the answers vary between runs, a dependable figure needs the same questions asked repeatedly over time.

Is share of voice the same as AI detection rate?

No. Detection rate is only about your own hotel: the share of tracked questions that name you. Share of voice puts that number next to the same measurement for your competitors, which is what turns it from a score into a diagnosis.

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