Let me tell you about the most underrated ranking asset your hotel owns, and you are not even writing it. Your guests are.
I run an SEO and AEO shop in Orlando, and the single most common thing I see independent hoteliers obsess over is their star rating. Four-point-six versus four-point-eight. Whether that one furious one-star from the guy who wanted a late checkout at 4pm is dragging them down. Important, sure. But the star rating is the part of reviews that everybody watches and almost nobody can engineer. The part you actually have leverage over, the part that quietly decides which searches you show up for, is the words inside the reviews.
This post is about those words. How Google reads them, how AI answer engines lean on them, and how to ethically nudge your guests toward writing the kind of reviews that make your property obviously relevant for the searches you want to win, without ever crossing into the sketchy territory that gets reviews filtered or your profile slapped.
Why the words matter more than the stars
Here is the thing most people miss. Google does not just count your reviews and average your stars. It reads them. It pulls out entities, topics, and phrases, and it builds a picture of what your property is actually known for.
When someone in Google’s local pack sees those little highlighted snippets, “Guests liked the rooftop pool,” “Walkable to the historic district,” “Great for families,” those are not random. Google surfaced them because the words appeared often enough across reviews to register as a defining trait. That is review text being mined for relevance.
So picture two boutique hotels three blocks apart. Same star average. Same review count. One has reviews full of “quiet,” “romantic,” “perfect anniversary weekend,” “loved the wine hour.” The other has reviews that say “walkable to the convention center,” “fast wifi,” “great for a quick business trip.” When a couple searches for a romantic getaway and a sales rep searches for a hotel near the convention center, those two properties should, and often do, surface differently. Identical ratings, different relevance, entirely because of vocabulary.
Google bills your star rating as the headline, but it reads the body copy. The words guests use are what tell the algorithm which searches you are actually relevant for. You can influence the body copy. You cannot fake the stars.
This is what people in my world mean by “justifications,” that line of text Google shows under a business in search results explaining why it matched the query. A lot of those justifications are lifted straight from review language. If your guests keep saying “best breakfast in [neighborhood],” and someone searches for exactly that, Google has a ready-made reason to put you in the answer and tell the searcher why.
What this has to do with AI answers
It gets more interesting when you bring AI into it. The same review text that feeds Google’s local relevance is also training data and retrieval fuel for the language models people now ask for hotel recommendations.
When somebody types “where should I stay in [city] if I want a walkable boutique hotel near good restaurants” into ChatGPT or asks Google’s AI overview, the model is reaching for grounded, specific language about real properties. Reviews are one of the richest public sources of that language. If your reviews are a wall of “nice place, would stay again,” you have given the model nothing to grab. If your reviews consistently say “ten-minute walk to the [district] restaurant row, loved that the front desk booked our dinner reservations,” you have handed the model exactly the kind of specific, citable detail it wants to repeat.
I wrote a whole piece on the broader picture of whether your hotel is invisible to ChatGPT if you want to go deeper, but the short version is this: AEO is a real and growing search behavior, the term “aeo” pulls about 27,100 US searches a month and “generative engine optimization” around 5,400, and reviews are one of the most direct ways to feed those engines material about your specific property. This is core to how we approach AI visibility work.
The three flavors of keyword you actually want in reviews
Not all review keywords are equal. When I audit a property’s review corpus, I am looking for three specific buckets, because these map cleanly to how people search.
1. Amenities and features. Pool, rooftop bar, free parking, pet-friendly, EV charger, spa, on-site restaurant, fast wifi, kitchenette. These are the concrete nouns that match feature-based searches. If you have a genuinely great rooftop pool and zero reviews mention it, that is a relevance leak.
2. Neighborhood and proximity language. This is the local SEO gold. “Walking distance to [landmark],” “right in the [district],” “five minutes from [venue],” “close to the [attraction].” Proximity phrasing ties your property to a physical place in a way your own website copy never quite achieves, because it is coming from a third party describing a real experience.
3. Trip type and occasion. “Anniversary,” “girls’ trip,” “business travel,” “family vacation,” “wedding block,” “remote work week,” “babymoon.” These signal the context a guest came for, and a huge share of hotel searches are context-first (“hotel for a romantic weekend in [city]”) rather than feature-first.
Here is a simple way to think about which guest mention serves which search:
| What the guest writes | The search it helps you win |
|---|---|
| ”Loved the rooftop pool at sunset” | hotels with rooftop pool in [city] |
| “Easy walk to the [district] shops” | boutique hotel near [district] |
| “Perfect for our anniversary” | romantic hotels in [city] |
| “Great base for our family trip” | family-friendly hotels [city] |
| “Wifi was fast enough to work all week” | hotels for remote work [city] |
None of those phrases are exotic. They are the things your happy guests already half-think on checkout. Your job is just to help them remember to write them down.
The ethical line, because this is where people get themselves in trouble
I need to be blunt here, because the difference between smart review cultivation and a policy violation is genuinely narrow and a lot of hoteliers blunder across it.
You can ask for a review. You cannot script the review. You absolutely cannot offer a discount, a free drink, an upgrade, or anything else in exchange for a review, and you definitely cannot do it in exchange for a positive one. That is review gating and incentivized reviewing, and platforms filter or remove those, sometimes nuking your whole recent batch. Not worth it.
What you can ethically do is prompt memory. The trick is to ask open questions that jog a guest toward the specific parts of their stay, and then get out of the way and let them write whatever they actually felt. You are not putting words in their mouth. You are reminding them of the moments worth mentioning.
Bad, do not do this: “Please leave us a five-star review mentioning our rooftop pool and great location.”
Good, do this: “What was the highlight of your stay, and was there anything about the neighborhood or the hotel that surprised you?”
See the difference? The second one will naturally pull out pool mentions, neighborhood mentions, and occasion mentions from the guests who genuinely experienced them, without you dictating a single word or trading for praise. If the breakfast was the highlight, they will say breakfast. If the walkability blew them away, they will say walkability. The honest signal survives, which is the entire point.
The goal is never to manufacture words your guests did not mean. It is to remove the friction between a great experience and a specific, useful review. If the experience was not great, no prompt will save you, and it should not.
Practical prompting tactics that stay clean
Here is how I actually wire this into a property’s operations.
Time the ask to the memory. The richest, most specific reviews come within 24 to 72 hours of checkout while the details are vivid. A review request that lands a week later gets you “nice stay.” One that lands the morning after checkout gets you “the cold brew at the rooftop bar on the last night was perfect.” Specific equals keyword-rich.
Segment your ask by trip type. If your booking data or your front desk knows a guest came for a wedding block, the follow-up can gently reference the occasion: “We hope the wedding weekend was everything you wanted.” That single contextual phrase nudges the guest toward writing “wedding” in their review, ethically, because it genuinely was a wedding trip. Same with business travelers, families, couples.
Ask two open questions, not zero and not ten. One question gets generic answers. Ten questions get abandoned. Two well-aimed open prompts, one about a highlight and one about the location or neighborhood, is the sweet spot for pulling out the three keyword buckets without it feeling like a survey.
Train the front desk to plant the seed verbally. A warm, human “if you have a minute later, we always love hearing what stood out, especially about the [neighborhood]” at checkout does more than any automated email. It is a person, it is specific, and it is not transactional.
Never gate, never trade, never script. I will say it a third time because it is the one that gets people in trouble. The ask is the only thing you control. The words belong to the guest.
This whole motion lives inside what we treat as content and reputation work, and it pairs tightly with a well-optimized Google Business Profile. If your GBP itself is a mess, fix that first; I laid out the whole approach in the Google Business Profile playbook for hotels.
How this ladders up to direct bookings
Let me connect this back to the money, because keyword-rich reviews are not an academic exercise.
Better local relevance means you surface more often for the high-intent, context-specific searches, the “romantic boutique hotel near [district]” queries where the searcher knows roughly what they want and is comparing real options. Show up there, in the local pack and in AI answers, with reviews that visibly match the intent, and you capture demand you were previously invisible for.
And every one of those guests who finds you through organic search and books direct is a guest who did not arrive through an OTA paying the usual 15 to 25 percent commission. I am not going to pretend reviews let you fire the OTAs, nobody can, and you should not want to vanish from them entirely. The realistic, healthy goal is to shift the mix, win back more of the bookings you are already earning the demand for, and lean less hard on the channels skimming a quarter off the top. If you have never run that math, the book-direct commission math piece is sobering in the best way.
A simple audit you can run this week
Before you change anything, go read your own reviews like Google does. Pull your last fifty and tally how often each of the three buckets shows up: amenities, neighborhood and proximity, and trip type. You will almost certainly find a gap, a great feature nobody mentions, a neighborhood you are not being associated with, a trip type your property is perfect for but reviews never name. That gap is your whole content and prompting plan, handed to you for free.
Then adjust the ask, time it tighter to checkout, segment it by trip type, and watch the next fifty reviews. Patterns shift faster than you would think.
Reviews are the rare ranking signal that gets more honest the better your hotel actually is. You are not gaming anything. You are just making sure the truth about your property is written down in the words people search for.
If you want help auditing your review corpus, fixing the keyword gaps, and wiring an ethical prompting system into your guest journey so the right words show up on their own, that is exactly the kind of thing we do. Come book a call and we will look at your actual reviews together and map where the relevance is leaking.