Hotel SEO services for hotel groups and resort brands
A reservation that arrives through an OTA typically costs 15 to 25 percent of the room rate in commission (Hotel Online, Sep 2026). We build the property, destination and offer pages that let travellers book on your own site, fix the steps between a search result and the booking engine, and report direct share and commission avoided for each property every month.
$4,500 a month for 2 to 10 properties
Customer success journey
Pick where your group stands today, put in your own numbers, and step through the year month by month: what we ship, what you should start to see in Search Console and the booking engine, and what you keep. One agency source describes the same shape for hotels: non-competitive long-tail destination and amenity queries can rank within 60 to 90 days, while head terms held by OTAs and established chains typically take 9 to 18 months (US Tech Automations, Jul 2026, citing Search Engine Journal benchmarks). The chart is a planning model driven by your inputs, with every assumption on screen. It is not a promise.
Most rooms sell through OTAs. Booking.com and Expedia bring most reservations and the group site gets brand searches and little else. Rate parity holds, yet travellers still book on the OTA because its listing ranks for the destination. Visits and booking value are sample numbers: the $150 ADR is the example rate Hotel Online uses (Sep 2026) and 2.5 nights is an assumption. Visit to booking engine search is set at 18 percent, below the roughly 22 percent implied by the Hotel Benchmark averages for independents (0.73 percent site conversion, 3.28 percent booking engine conversion, 550 hotels, 2019 data, via 80 DAYS). Booking engine conversion uses 3.0 percent, just under that 3.28 percent average.
Property pages live, destination pages missing. Each property has a page, but the group ranks for its own hotel names only. Queries like hotels in [town], resort near [landmark] and pet friendly hotel in [area] go to OTAs and travel publishers. Visits and booking value are sample numbers. Visit to booking engine search uses 28 percent and booking engine conversion 6.8 percent, the hotel group averages from h2c's 2020 Global IBE and Metasearch Study (76 chains, 2019 data, via 80 DAYS); together they give that study's 1.9 percent website conversion.
Resort portfolio with seasonal booking windows. Demand comes in waves: summer, ski season, festive weeks and event dates. Pages written when the season starts are late, because one agency source says a ski resort and a beach destination need content live 60 to 180 days before their booking windows open (US Tech Automations, Jul 2026). Visits and booking value are sample numbers: $300 ADR over 3 nights, both assumptions. Visit to booking engine search uses 22 percent and booking engine conversion 3.28 percent (Hotel Benchmark, 2019 data, via 80 DAYS). The lag is 2 months because this profile counts room revenue at the stay date, not the booking date.
New website, new booking engine or rebrand. A site migration or a booking engine switch reset rankings, or a rebrand moved the properties to a new domain. Redirects, property schema and cross-domain booking tracking come first. Visits and booking value are sample numbers. Visit to booking engine search uses 15 percent and booking engine conversion 2.5 percent, both assumptions set under the Hotel Benchmark averages because tracking and redirects are still settling. Read this profile on the conservative curve: one agency source puts head terms held by OTAs and chains at 9 to 18 months (US Tech Automations, Jul 2026).
Every account, export and document sits in your workspace from day one.
The tracking spec, the dashboard and the channel definitions.
The keyword map and the page plan, reusable when you add a property.
The page templates, briefs and review notes.
The guides, written so your front desk and sales team can send them to guests.
The test log and every change that lifted completion.
The offer page template and the media list.
A seasonal content calendar per market.
The RFP pages and the enquiry routing.
The report, built in your analytics, not in our tool.
A page-type scorecard your team can use for the next property.
The seasonal page library and the member rate page.
Everything: pages, data, dashboards, playbooks and the roadmap.
Expected and conservative use the ramps in the assumptions panel. Month 0 is your input with no change.
Non-branded, from your analytics
From monthly organic visits, all properties
From booking engine searches, month 0 to the month shown
A sample channel mix for a group of five properties, shown for today and for whichever month you choose on the scrubber. Every bar stands for one month of booking engine searches across all channels. Only the direct organic slice responds to the model; OTA, metasearch, phone and group volume are held at their month 0 level, so direct share rises only as that slice grows. Each booking that shifts from an OTA to your own site keeps the 15 to 25 percent commission Hotel Online reports for 2026 on your side. These are illustrative shares, not figures from a client.
Bar length is booking engine searches a month from all channels, expected case, drawn to one scale.
Only direct bookings on your own site from organic and brand search changes with the model. The other channels are held at their month 0 volume, and the month 0 shares (direct bookings on your own site from organic and brand search 22%, OTAs: Booking.com, Expedia and others 60%, metasearch: Google Hotel Ads and free booking links 6%, reservations taken by phone, email or walk-in 7%, corporate rates, weddings and group blocks 5%) are an assumption; your channel report replaces them.
This is a planning model built from your inputs and public benchmarks, most of them from vendor, agency and operator publications, and some from 2019 data. It is not a forecast, a promise or a guarantee of rankings, traffic, bookings, direct share, ADR, RevPAR or revenue. Commission avoided is an estimate under the assumption shown.
| Month | Monthly organic visits, all properties, cons. | Monthly organic visits, all properties, exp. | Booking engine searches, cons. | Booking engine searches, exp. | Direct bookings, cons. | Direct bookings, exp. | Direct room revenue, cons. | Direct room revenue, exp. | OTA commission avoided, cons. | OTA commission avoided, exp. | Cumulative, cons. | Cumulative, exp. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 15,000 | 15,000 | 2,700 | 2,700 | 81 | 81 | $30K | $30K | $4.6K | $4.6K | $30K | $30K |
| 1 | 15,000 | 15,000 | 2,700 | 2,700 | 81 | 81 | $30K | $30K | $4.6K | $4.6K | $61K | $61K |
| 2 | 15,000 | 15,300 | 2,700 | 2,754 | 81 | 82.6 | $30K | $31K | $4.6K | $4.6K | $91K | $92K |
| 3 | 15,300 | 15,750 | 2,782 | 2,920 | 83.4 | 87.6 | $31K | $33K | $4.7K | $4.9K | $122K | $125K |
| 4 | 15,750 | 16,500 | 2,920 | 3,208 | 87.6 | 96.2 | $33K | $36K | $4.9K | $5.4K | $155K | $161K |
| 5 | 16,350 | 17,700 | 3,090 | 3,632 | 92.7 | 109 | $35K | $41K | $5.2K | $6.1K | $190K | $202K |
| 6 | 17,100 | 19,050 | 3,293 | 4,115 | 98.8 | 123 | $37K | $46K | $5.6K | $6.9K | $227K | $248K |
| 7 | 18,000 | 20,700 | 3,532 | 4,658 | 106 | 140 | $40K | $52K | $6K | $7.9K | $267K | $300K |
| 8 | 19,050 | 22,500 | 3,840 | 5,265 | 115 | 158 | $43K | $59K | $6.5K | $8.9K | $310K | $359K |
| 9 | 20,100 | 24,300 | 4,052 | 5,686 | 122 | 171 | $46K | $64K | $6.8K | $9.6K | $356K | $423K |
| 10 | 21,150 | 26,250 | 4,264 | 6,143 | 128 | 184 | $48K | $69K | $7.2K | $10K | $404K | $493K |
| 11 | 22,200 | 28,200 | 4,476 | 6,599 | 134 | 198 | $50K | $74K | $7.6K | $11K | $454K | $567K |
| 12 | 23,250 | 30,000 | 4,687 | 7,020 | 141 | 211 | $53K | $79K | $7.9K | $12K | $507K | $646K |
For each month m from 0 to 12: Monthly organic visits, all properties(m) = V0 x VisitRamp(m). Booking engine searches(m) = Monthly organic visits, all properties(m) x C0 x ConversionRamp(m). Direct bookings(m) = Booking engine searches(m minus L) x P. Direct room revenue(m) = Direct bookings(m) x Average booking value (ADR x nights). Cumulative direct room revenue = sum of direct room revenue from month 0 to m. OTA commission avoided(m) = Direct room revenue(m) x 15%. Before month L, direct bookings come from the month 0 level of booking engine searches.
Each ramp is a multiplier on month 0, one per month. Month 0 is 1.00. Every multiplier is an assumption and is editable below.
| Multiplier | M0 | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Visit ramp, expected | |||||||||||||
| Visit ramp, conservative | |||||||||||||
| Conversion ramp, expected | |||||||||||||
| Conversion ramp, conservative |
This is a planning model built from your inputs and public benchmarks, most of them from vendor, agency and operator publications, and some from 2019 data. It is not a forecast, a promise or a guarantee of rankings, traffic, bookings, direct share, ADR, RevPAR or revenue. Commission avoided is an estimate under the assumption shown.
| In your model | Today (month 0) | Month 12, conservative | Month 12, expected |
|---|---|---|---|
| Monthly organic visits, all properties per month | 15,000 | 23,250 | 30,000 |
| Booking engine searches per month | 2,700 | 4,687 | 7,020 |
| Direct bookings per month | 81 | 141 | 211 |
| Direct room revenue per month | $30K | $53K | $79K |
| OTA commission avoided per month | $4.6K | $7.9K | $12K |
| Cumulative direct room revenue, months 0 to 12 | $395K if month 0 holds | $507K | $646K |
| Area | Today | Month 12 |
|---|---|---|
| Attribution | Bookings arrive in the booking engine with no landing page attached | Every direct booking carries its landing page and channel across the site and booking engine |
| Where organic visits land | Home page and brand name searches | A growing share on property, room, destination and offer pages |
| Destination coverage | OTAs and travel publishers hold hotels in [town] and resort near [landmark] | A guide per market and a page per property for the queries travellers type |
| Property pages | One thin page per property with a gallery and a book button | Rooms, amenities, policies, location, schema and the total price on every property page |
| Booking engine | Mobile path never tested; price changes between search and payment | A test log with the changes that lifted completion kept live |
| Metasearch and Business Profiles | Hotel Center and Business Profiles set up once and left | Feeds, free booking links and profiles checked against your rates and attributes |
| Seasonal demand | Season pages published when the season starts | Next season pages live before the booking window opens |
| Groups and events | Wedding and meeting enquiries arrive by email with no source | RFP pages with enquiries tagged by landing page |
| Reporting | Rankings and traffic in a marketing deck | Direct share, OTA share and commission avoided per property, with definitions |
| Ownership | Knowledge sits with whoever ran the website last | Briefs, templates, tracking spec, dashboards and a year two roadmap in your workspace |
Playbook
Each card is a page type and the kind of search it answers, with your names in the brackets.
A traveller comparing your property with its OTA listing wants the same facts: rooms, beds, amenities, parking, pets, check-in, cancellation, location and a total price. We rebuild each property page with those facts, hotel and room schema, and a book direct path that keeps the dates the guest already chose.
Many travellers look up the destination before choosing a hotel, and for many groups OTAs and travel publishers own those searches. We write a guide for each market and neighbourhood and link it to the property that suits it, so someone searching the place can finish on your booking engine rather than an OTA.
A ranking is wasted when the guest drops out inside the booking engine. We walk the route from property page to confirmation on a phone, bring the total price forward, remove steps, and hand your booking engine vendor a list of changes. We log each change and keep it only when completion goes up.
On Google's results page, Hotel Ads and free booking links list your rate alongside OTA rates. We audit the Hotel Center feed, the connectivity partner and each Business Profile, so a traveller sees the same rate on Google as on your site.
Many OTA contracts carry rate parity terms that cap how low your public rate can go. The common ways to a stronger direct offer are packages, length-of-stay deals and member rates. We start by reading your parity terms, then build offer pages that respect them.
Demand peaks around seasons, school holidays, festivals, conferences and sports dates. One agency source says these pages should be live 60 to 180 days before the booking window opens, so we plan them on a calendar per market, not when the season starts.
Group blocks, weddings, retreats and meetings carry larger booking values and come through RFPs, not the booking engine. We build pages per event type with capacities, room blocks and an RFP form that reaches your sales team with its landing page attached.
Travel planning is shifting into AI answers. According to Hotel Online, Google added hotel booking to AI Mode for US travellers in late August 2026; results are ranked organically and, for now, carry no paid placements. We follow a fixed set of travel prompts for your markets and write property and destination pages that lead with the answer and carry facts an assistant can quote.
Proof
43x
The founder ran SEO and paid search in-house at Brain Station 23, a software development and IT services company. The same method of tracking first, bottom-of-funnel pages next, then links and conversion work, took inbound pipeline to 43x in eight months. That was SEO and paid search together, for an IT services company, not a hotel group.
Source: Brain Station 23 internal data, founder's in-house role; published as a multiple only
Brain Station 23 (software development and IT services) and NopStation (Brain Station 23's nopCommerce e-commerce brand) are the founder's in-house work, not client results. S & F Consulting (company formation, licensing and accounting, not a law firm) and SM Pest Control (local service, Bangladesh) are CMBD clients. CMBD has no hotel client case study yet.
Ten keywords from four of our projects, each with its Google position, the country searched from and the project it belongs to. The chips list every country where one of the three Ahrefs-tracked projects has a keyword in Google's top 10. Positions only.
Ranked in
Source: Ahrefs organic keywords exports for brainstation-23.com, nop-station.com and sfconsultingbd.com, 16 Oct 2026, plus one client row from the CMBD homepage rank card (Google Bangladesh). Positions are Ahrefs positions on the export date, shown as keyword, position, country and project only.
Illustration of the goal
Illustration: a Google search for your keyword, with Your brand in the first result, above Competitor 1, Competitor 2 and Competitor 3.
Illustration of the goal, not a promise and not a client result. Competitor 1 to 3 and positions 2 to 4 are placeholders and appear only in this drawing. CMBD has no hotel client case study yet.
Pricing
$4,500a month
Hotel groups and resort brands with 2 to 10 properties in one or two markets
From $6,500a month, by proposal
Groups across several countries or destinations, or with more than 10 properties
Fit
FAQ
US Tech Automations (Jul 2026), a single agency source citing Search Engine Journal benchmarks, puts long-tail destination and amenity queries with little competition at 60 to 90 days to rank, and head terms that OTAs and established chains hold at 9 to 18 months as a typical range. Direct share lags rankings, since the booking engine path and seasonality both shape it. Use the model on this page to see how your starting point bends the curve.
No, and we would not advise it. OTAs reach travellers you cannot reach alone. The aim is a better mix: more of the guests who already search your town and your property names booking on your own site, at a lower acquisition cost than the 15 to 25 percent OTA commission Hotel Online reports for 2026.
Before we propose any offer, we read the parity clauses in your OTA contracts. When parity is in force, we work with packages, length-of-stay deals and member rates that fit within those clauses, and we confirm that for the same dates your own site never displays a higher total price than your OTA listings do.
Yes, in most setups. In month 1 we set up cross-domain tracking between your site and the booking engine, or use the engine's own analytics integration, so each booking keeps its landing page. Where the vendor blocks this, we report from booking engine and PMS data by channel and say so in the report.
SEO, with metasearch checks. We check your Hotel Center feed, free booking links and Business Profiles because they sit on the same results page as your organic listing. Bidding on Google Hotel Ads or Tripadvisor is a paid channel and is quoted separately.
No, not yet, and we will not make any up. Whichever hotel group signs first runs as a pilot, and its interim metrics go public at day 90. Today our proof is in-house work the founder did at Brain Station 23, a software development and IT services company: SEO and paid search together lifted inbound pipeline to 43x over eight months.
We cite these as directional, and say so where a figure is secondary.
In a 30-minute call we review your channel mix, the destination searches where your properties are missing, and each step from a search result to your booking engine. You come away with a rough month 0 baseline and, if the work fits, a written scope.