Hotel content teams that need city and region pages tend to slide into travel-guide territory: attractions, cuisine, neighbourhoods, mood copy about “the vibe”. The traveler ignores most of it, and the page ends up carrying no property-level decision at all. Destination-image research gives hotels a cleaner way in. Echtner and Ritchie’s 1991 framework separates a place’s image into functional components (what you can measure, count and access), emotional or psychological components (how the traveler frames the stay) and unique components (what is genuinely distinctive here). Applied to hotel content, those three lenses decide which sentences belong on a city page, which belong on a region page, which belong on a hotel location page — and which sentences should be cut because the property cannot honestly verify them.
Short answer. A city page for a hotel should explain a place-level choice. A region page should connect broader context to the property. Functional image components describe what the traveler can practically expect. Emotional / psychological components describe how the traveler may frame the stay, grounded in verified evidence. Unique components describe what is genuinely distinctive and verifiable — never invented. Nothing in this workflow guarantees rankings, AI recommendations, traffic or bookings; no place-specific attribute should be published without verification.
City and region pages should explain place fit, not act as travel guides
The academic frame is worth naming precisely. Echtner and Ritchie (1991) proposed a three-continuum model of destination image: attribute versus holistic, functional versus psychological, and common versus unique. Applied to hotel content, that framework collapses cleanly into three lenses hotel content teams can use daily — functional attributes, emotional/psychological framing, and unique elements. Baloglu and McCleary (1999) later modelled how information sources and personal factors fuse into the pre-arrival image, which is what the traveler brings to the city page before the hotel speaks.
The OECD Tourism Trends and Policies 2024, which analyses tourism performance across 50 OECD countries and partner economies, treats city and region content as one node in a coordinated system alongside DMO messaging, transport authorities, industry associations and operators. The lesson for hotel content teams: your city and region pages are not the DMO’s job, and they should not attempt to be the tourism-board’s page either. Their job is to help the traveler choose the place and the property together, with honest evidence, in the exact context of your hotel.
A useful rule the article returns to repeatedly: a city or region page for a hotel should carry no sentence that a DMO page could carry better. If the sentence could be verbatim on the tourism-board page, cut it or turn it into a link. Reserve the space for property-adjacent claims the hotel can own.
Short answer. Hotel city and region pages should carry sentences the DMO would not — property-adjacent, verifiable, and useful for the place-and-property choice. Anything a DMO page could carry verbatim is a candidate for removal.
What functional, emotional and unique image components mean for hotel pages
The three image components are content-planning lenses, not performance levers. They decide which sentence goes on which page and which sentence needs verification before it appears. A short definition, and then the classifier follows.
Functional / attribute components are the tangible facts a traveler can weigh: distances, access modes, neighbourhood character, walking times, transport frequencies, seasonal patterns, facility categories, price ranges. These are the “can I do X here?” claims. On a hotel page, functional components must be verified from tourism-board data, transport-authority sources, own operations, on-property observations, aggregated review themes, or booking-inquiry themes — not from generic knowledge.
Emotional / psychological components are how travelers frame the stay: calm vs energetic, formal vs relaxed, contemplative vs social. These are the “how will I feel here?” claims. They are useful when grounded in aggregated review themes, verified positioning studies or documented DMO framing; they are useless when they collapse into vague adjectives (“timeless”, “unforgettable”, “magical”) that every property in the world already uses.
Unique components are the distinctive elements the traveler cannot substitute with another destination. These are the “what is genuinely here that is not somewhere else?” claims. Unique image is where hotel content teams most often invent — because it is the most rewarding to write and the hardest to verify. Every unique claim should be pre-tested against three questions: is it actually distinctive, is it verifiable, and is it difficult to substitute with a nearby competitor? If any answer is no, the claim needs softening or cutting.
The compact table below is the one hotel content teams should keep visible when drafting a city or region page — a quick reference that lines up each image component with what it is for, what it needs to be safe, and where it should live on the site.
| Image component (Echtner & Ritchie 1991) | What it is for on a hotel page | Verification requirement | Where it should live |
|---|---|---|---|
| Functional / attribute | Answers “what can I practically expect / access here?” | DMO / transport authority / own operations / aggregated review themes | City page + region page + hotel location page (cross-linked) |
| Emotional / psychological | Answers “how might a stay here feel for a party like mine?” | Aggregated review themes (≥ 3 independent guests) or documented study with caveat | City / region page framing + hotel own “who this suits” section |
| Unique (common vs. unique) | Answers “what is genuinely distinctive here that I can’t substitute?” | Three-question test: distinctive + verifiable + hard to substitute | City / region page only; property page may reference with caution |
| Overlap: functional × emotional | Practical claim with a felt dimension (e.g., “quiet enough for slow mornings, but not remote”) | Both a source and a review-theme cluster | City page + hotel own “not for everyone” note |
| Overlap: emotional × unique | Framing that borrows from unique claims (“a rhythm you find in few coastal towns”) | Aggregated evidence + unique-test pass | Region page framing paragraph (short, honest) |
Short answer. Functional = what you can measure and access. Emotional = how the traveler may frame the stay, grounded in evidence. Unique = what is genuinely distinctive and verifiable. Each lens picks a different sentence out of the city and region pages.
How functional image becomes practical hotel proof
Functional image components turn into the most immediately useful sentences on a hotel-owned city or region page, because they are the easiest to verify. On the city page, the traveler is asking practical questions: which quarter fits which trip reason, how the city moves during the week versus the weekend, what the reachable radius looks like from the hotel’s neighbourhood, which airport / station is realistic given the traveler’s route. On the region page, functional questions expand outward: which coastal or interior sub-areas match which trip reasons, what the transit story looks like at the region scale, what the seasonal windows imply, what is realistically day-trippable from the property.
What the traveler expects vs what the property can verify
Every functional component the traveler expects to see should be paired with the property’s actual verification stack: is the walking time actually measured? Is the transport frequency current? Is the neighbourhood character described from review themes or from imagination? The Google Business Profile guide for hotels is a reminder that the hotel’s category, description and attributes are being seen alongside the city and region pages — Google notes that a Business Profile lets businesses stand out on Google at no cost. Google’s Hotel Center free-booking-links documentation and the wider Hotel Center connectivity partner documentation (last updated 2026-06-02 in the searched result) describe how a property’s offer sits alongside destination information; the Hotel Ads overview (dated 2026-05-13 in the searched result) describes Hotel Ads as an ad type “created automatically based on provided hotel listings and prices”. If the city or region page states a functional claim that these feeds contradict, the traveler will feel the mismatch even without articulating it.
Short answer. Every functional sentence on a city or region page must be pinned to a source: own operations, transport authority, DMO, review themes or aggregated booking inquiries. Sentences without a source belong in the cutting pile.
How emotional image becomes expectation-setting, not vague copy
Emotional / psychological image components are where hotel city and region pages break down most often. Content teams reach for adjectives (“timeless”, “unforgettable”, “magical”) because they are easy to write and hard for anyone to disprove. Travelers ignore them because every property says the same words. The remedy is not to strip the emotional layer — it is to rebuild it from evidence: aggregated review themes on how guests describe the stay, verified DMO positioning that the property genuinely fits, and honest expectation-setting language that names both the fit and the “not for everyone” line.
Tran and colleagues (2022) systematically reviewed the role of social media in destination branding and found that user-generated content, review platforms and social evidence increasingly shape brand perception. The practical consequence for hotel content teams: the emotional framing on your city or region page will be compared to what guests are already saying elsewhere. If the framing is honest and matches aggregated review themes, it strengthens confidence. If the framing is a slogan that reviews contradict, the traveler downgrades trust in the whole page. Almeyda-Ibáñez and George (2017) separated destination-brand-image work from operational branding execution — a separation that applies here: emotional framing is operator work, not agency mood copy.
The Baloglu and Mangaloglu (2001) study of US-based tour operators’ and travel agents’ perceptions of Turkey, Egypt, Greece and Italy is a useful reminder that emotional images differ sharply between professional audiences and between years. Use such studies illustratively — with their year and audience caveats — and never as evidence of a current-day emotional image for a specific city.
Short answer. Emotional framing must be grounded in aggregated review themes, verified DMO positioning or documented studies with caveats. Adjective slogans are not framing; they are noise.
How unique image becomes a claim that must be verified
Unique image components carry the highest reward and the highest risk. Reward: a genuinely distinctive claim, verifiable and difficult to substitute, gives the city or region page a durable reason to exist. Risk: an invented “unique” claim (“the only place where…”, “the world’s most…”, “found nowhere else in…”) is a legal, editorial and trust hazard, and it usually collapses under one competitor page.
The three-question test keeps unique claims honest. First: is the attribute actually distinctive at the destination scale, or is it a common attribute the marketing team is calling unique? Second: is the attribute verifiable through named sources — DMO reports, official cultural bodies, academic literature, verified press — rather than by the operator’s belief? Third: is the attribute difficult to substitute with a competitor’s page — that is, does the traveler really lose access to it if they book elsewhere in the region? Only claims that pass all three questions belong on the page under a “unique” framing.
Google’s Introduction to structured data is explicit that Google Search Central’s documentation is the definitive reference for Search behaviour. Google’s AI features and your website reminds operators that AI features rely on the same indexed content. A 2026 measurement study of Google AI Overviews issued 55,393 trending queries, decomposed the responses into 98,020 atomic claims, and found 11.0% of those claims unsupported by the pages the AI Overview cited; overall AI Overview activation was 13.7% in the measured query set. These are study-set findings, not general properties of every search, and they do not describe city, region or hotel queries specifically. Google’s Generative AI performance report reports on some AI interactions but does not confirm citation or recommendation for a specific property. The relevance for unique-image writing: a fabricated “unique” claim is exactly the kind of sentence that ages badly in any summarisation layer — human, AI or otherwise.
Short answer. Unique claims must clear three tests: actually distinctive, verifiable via named sources, and difficult to substitute. Anything less should be softened or cut, no matter how tempting it is to write.
Decision table: image component, traveler question and page asset
This first decision table maps the three image components to the traveler question they raise and the page asset that should carry the answer. If a row cannot be resolved without inventing local facts, the row is a signal to remove the sentence altogether.
| Image component | Traveler question it raises | Page asset that should carry the answer | Verification source before publishing |
|---|---|---|---|
| Functional / attribute — location context | Which quarter of the city fits my trip reason? | City page location section + hotel location page cross-link | DMO / tourism-board neighbourhood copy + aggregated review themes |
| Functional — access & transport | How do I reach the hotel from the airport / station? | Hotel location page + FAQ; region page for wider transport story | Actual measurement or transport-authority source |
| Functional — seasonality | Does this city / region make sense in the window I’m considering? | Region page seasonal note + hotel own seasonal-status statement | DMO seasonality copy + on-property operations reality |
| Emotional — mood / fit | How is a stay here likely to feel for a party like mine? | City page “who this suits” section + hotel own “not for everyone” note | Aggregated review themes (≥ 3 independent guests per theme) |
| Emotional — trip framing | Is this a slow trip, an active trip, a mixed trip? | Region page trip-reason breakdown + package pages | Aggregated review themes + booking-inquiry themes |
| Unique — distinctive attribute | What can I do or see here that I can’t do elsewhere nearby? | City / region page only if all three unique-tests pass | DMO / official body / academic / verified press coverage |
Decision table: city/region claim, verification need and safe page action
The second decision table works in the opposite direction: it starts with a common city or region claim risk and shows what verification the operator would need to keep the claim honest, plus the safe page action if the verification is not available.
| City / region claim risk | Verification the operator would need | Safe page action if verification is missing | Owner of the fix |
|---|---|---|---|
| “The best neighbourhood in the city” | Ranking claim; not achievable at the operator level | Remove; describe the neighbourhood’s real character with named sources | Content team |
| “The most family-friendly region” | Broad ranking; source-market bias; property mismatch risk | Replace with property-fit language; state where the property is and is not family-friendly | Content + operations |
| “Unique local cuisine you can only find here” | Unique test: actually distinctive; verifiable via DMO or cultural body; difficult to substitute | Soften to specific dishes verified by DMO or press; remove “only found here” unless clearly supported | Content team |
| “World-class heritage” | Not verifiable at the operator level; agency slogan | Replace with named heritage sites and honest access notes | Content team |
| “Walking distance to everything” | Not achievable — verifiable only per specific landmark, per specific route | List a small number of measured walking distances; remove the sweeping claim | Content + operations |
| “Sunniest region of the country” | Weather ranking; needs meteorological-authority source | Remove without a cited source; describe seasonal patterns with a DMO reference instead | Content team |
| “Featured in leading AI travel assistants” | No AI system guarantees inclusion; documentation stops short of that promise | Remove; replace with content-clarity practices | Content team |
Operational example: one city and region page audit for a hotel
Consider a mid-sized independent hotel with one city page and one region page, both written over the last two years and both currently thin. Search Console shows the pages ranking for a few branded-adjacent queries but generating negligible non-branded engagement. Aggregated review themes note that guests arrive with unmet expectations set by the pages. The marketing team has been asked to audit the two pages against the functional / emotional / unique framework.
What the audit inspects
- Every sentence on both pages classified as functional, emotional, unique or none-of-the-above.
- For each functional sentence: named source, current freshness, and whether it can survive comparison with the hotel’s own site, GBP, OTA listing and Hotel Center / Hotel Ads feed.
- For each emotional sentence: whether aggregated review themes, DMO positioning or documented studies support the framing, and whether the sentence collapses into vague adjectives.
- For each unique sentence: whether it passes the three-question test (distinctive, verifiable, difficult to substitute).
- Every internal link between the city page, the region page, the hotel location page and any package or FAQ, checked for direction and usefulness.
- Any structured data on the two pages, checked against actual content so schema does not describe attributes the pages do not confirm.
The audit output for this scenario is straightforward. Functional sentences without a source are either sourced (and re-worded with the source visible) or removed. Emotional sentences that collapse into adjectives are rewritten from aggregated review themes and honest positioning language. Unique sentences that fail the three-question test are cut or softened. Every remaining sentence is assignable to city, region or property level, and the internal-link path from city page to region page to hotel location page carries the traveler from place understanding to property choice without a detour through cliché.
What the audit refuses to promise
This audit produces content changes, not traffic, ranking or booking predictions. It does not promise Google, ChatGPT, Gemini, Perplexity, TripAdvisor or Booking.com will now recommend the property. It does not report a “city image score” or a “unique image score” or any other invented metric. What it produces is two cleaner pages, a shorter and honest sentence-set on each, verifiable evidence per sentence, and a sensible internal-link path from place image to property proof.
Short answer. The audit’s job is not to promise city or region traffic. It is to leave two shorter pages that carry only sentences the property can honestly own or link to.
Common mistakes in hotel city and region pages
The mistakes below are the ones hotel city and region pages repeat when the functional / emotional / unique lenses are not applied.
- Filling the city page with attractions and cuisine copy the DMO already covers — turning the page into a bad tourist brochure.
- Using emotional adjectives (“timeless”, “unforgettable”, “magical”) without any evidence from aggregated review themes or documented studies.
- Claiming uniqueness (“the only place where…”, “the world’s most…”) without passing the three-question test.
- Inventing walking-time and transit-time claims from generic knowledge or map screenshots without operator or authority verification.
- Fabricating source-market perceptions (“US travelers love this region because…”, “German guests expect…”) without a study or first-party dataset.
- Copying press coverage of the city or region onto the page as if the operator had earned the coverage.
- Introducing “city image scores” or “region image scores” in board decks and presenting them as measured lifts.
- Using LodgingBusiness schema whose properties describe amenities the page does not actually confirm — a structured-data policy risk.
- Lifting real guest review quotes into city-page copy without permission or editing them into something the guest did not say.
- Fabricating a “case study” of city-page or region-page uplift with invented before/after numbers to justify a marketing budget.
- Describing seasonal weather, event calendars, transit times, safety conditions or medical / accessibility claims from generic knowledge instead of verified sources.
- Treating inclusion in an AI Overview or generative summary as proof of demand — a 2026 measurement study of Google AI Overviews found 11.0% of atomic claims unsupported by cited pages in its measured query set, and the finding is not about city, region or hotel queries specifically.
- Assuming that a Google Business Profile or Hotel Ads setup guarantees ranking or AI-recommendation inclusion.
- Silently upgrading the city or region claim on the OTA description while leaving the hotel own page unchanged; the gap surfaces at check-in.
What I would fix first
Given one week with a hotel content team, the fix order looks like this. First, read every sentence on the city page and the region page and mark it as functional, emotional, unique or none-of-the-above. Second, cut every sentence in the last category and cut every functional sentence without a source. Third, rewrite the emotional layer from aggregated review themes and honest positioning language, cutting every unsupported adjective. Fourth, apply the three-question test to every unique claim and cut the ones that fail. Fifth, align the surviving sentences with the Google Business Profile, the Hotel Ads / Hotel Center feed and the OTA description so that public sources agree on the place-and-property story. Sixth, review structured data so it describes only what the page confirms. Everything else is week two.
Author’s note & editor’s checkpoint
Author’s note: destination-image theory is one of the more elegant bodies of tourism research and one of the easiest to over-apply. Hotel content teams reach for it because it comes with citations and it sounds strategic, and end up quietly assuming performance guarantees the sources do not offer. This piece was written deliberately narrow — no invented city profiles, no fabricated region facts, no fake AI screenshots, no unnamed-hotel case-study fictions, no city image scores — because the honest use of functional, emotional and unique image components is small, precise and mostly operational.
Editor’s checkpoint: before publishing, verify that every functional sentence has a named source, every emotional sentence is grounded in aggregated review themes or documented studies, and every unique claim passes the three-question test. Verify that no numeric performance claim survives without a Fact ID and study caveat. Verify that no place-specific attribute appears without verification. Verify that no guest review is quoted verbatim. Verify that the city and region in the operational example remain unnamed. Verify that structured-data references remain descriptive.
Auditing your hotel’s city and region pages against the functional / emotional / unique framework? I do written audits for hotel groups and destination content teams. Not a subscription, not a course — a delivered analysis.
FAQ
Is a hotel city page the same as a travel-guide page?
No. A travel guide is written to inform anyone visiting the destination. A hotel city page is written to help the traveler make a place-and-property choice together. If the sentence could sit verbatim on the tourism-board page, it usually should not be on the hotel page.
Where should emotional image content sit — city page, region page or hotel page?
Wherever the property can support it with verified evidence. Broad emotional framing about the destination tends to sit best on the city or region page (with aggregated review themes as the source); property-specific emotional framing sits on the hotel own page (with the property’s own review themes and policies as evidence). Emotional content without an evidence source belongs on neither.
How do we test whether a “unique” city or region claim is safe to publish?
Apply three questions. Is the attribute actually distinctive at the destination scale? Can it be verified via a DMO, cultural body, academic paper or verified press coverage? Is it difficult to substitute with a nearby competitor? Only claims that pass all three should carry a “unique” framing on the page. Anything else should be softened or cut.
Do structured data or a Google Business Profile improve the ranking of a city or region page?
No. Google’s own documentation avoids that promise. Structured data helps search systems interpret a page correctly; a Google Business Profile provides a free public profile at the property level, not a city-page amplifier. Treat both as supporting standards, not as growth channels.
How should we use aggregated review themes on a city or region page?
Read reviews as anonymised theme clusters; require at least three independent guests before treating a theme as a signal. When a theme surfaces a consistent emotional framing (“guests describe the neighbourhood as calm on weekdays, busier on weekends”), that framing can appear on the city page in the hotel’s own words. Never lift a guest’s sentence directly into copy.
What is the smallest content change that most improves a hotel’s city or region page?
Reading every sentence on the page and marking it as functional, emotional, unique or none-of-the-above. That single pass reliably surfaces the cuttable sentences and reveals the small set of honest, verifiable claims the page can actually stand on.
Want the functional / emotional / unique classifier worksheet used in the operational example above? Ask via the form below; it is a private worksheet, not a downloadable freebie.