How hotels get cited in ChatGPT & Google AI Overviews

• Clicks are no longer the whole game. When Google shows an AI Overview, users click traditional results about half as often (8% vs 15% of visits), and they click the Overview’s own source links in only about 1% of visits, per Pew Research Center’s July 2025 analysis of real browsing behavior.
• Citation is the new shelf space. In ChatGPT, Gemini, Perplexity, and Google AI Overviews, “winning” often means being named, paraphrased, or linked as a source inside the answer, not merely ranking blue-link #3.
• What earns citation is extractable specificity. Academic GEO work (Aggarwal et al. KDD 2024) found that pages with clear statistics, quotations, and source citations can raise visibility in generative answers by up to ~40% in controlled settings, while keyword stuffing barely moves the needle.
• Hotel pages that win are stay-intent pages: where to stay near the arena the night of the concert, how to do race weekend without a 5 a.m. taxi panic, what a wedding guest should know about parking and late checkout, not another “luxury redefined” homepage paragraph.
• Owned content is necessary and not enough. Answer engines also lean on earned media (guides, city press, venue pages, Reddit threads, Wikipedia-adjacent authority). Your site must be citable and corroborated.
• A 30-day walk is enough to start: audit the queries that already create demand near you, publish a small set of answer-shaped pages, make them easy to extract, and build one earned-media loop around the best of them.

Start with what guests actually ask near a stay decision. They rarely type your brand first. They type a problem wrapped in a place and a date.

A concert weekend is a good example. The query is not “boutique hotel with rooftop.” It is closer to: where to stay walking distance from the arena after a late show, hotels with parking near [venue], quiet hotel for concert weekend downtown. A marathon weekend has its own dialect: hotels on the race route, late checkout race day, where to stay if expo is Friday and start is Sunday. Wedding guests ask about shuttle reality, noise, brunch logistics, and whether the block rate is a trap.

Those questions used to route through ten blue links. Now they often route through a generative engine that retrieves a handful of pages, compresses them, and speaks in one voice. Gao and colleagues’ survey of retrieval-augmented generation (RAG) describes the pattern underneath: models pull external documents at query time so answers can stay fresher and more grounded than whatever was frozen in training weights. Your hotel is not “remembered” because you ran a brand campaign in 2022. You are retrieved because something on the public web makes you a useful, attributable piece of the answer.

That is why click metrics can look soft even when demand is real. The guest still has intent. The interface simply finishes more of the work before the visit. Industry research from Seer Interactive (based on client Search Console and ads data, not a randomized public study) tracked sharp compression of average organic CTR on AI Overview-bearing informational queries through 2025 (earlier writeups on the order of 1.41% → 0.64%; September 2025 update ~61% decline across their June 2024-September 2025 window). Their April 2026 update, on a larger multi-intent cohort, reported early-2026 rebound/leveling rather than endless decline, and still treats whether a brand is cited inside the Overview as a material status, not a vanity badge. Treat the whole series as directional industry evidence, not a universal law; methodologies and query mixes evolve across versions. The durable lesson: if your scoreboard only counts clicks, you will misread periods when being named mattered as much as being clicked.

What replaces the click as the first win is citation, and the quieter twin of citation: brand mention inside the synthesized answer, even when no one follows the link. A guest who hears “several travelers stay near the venue at [Hotel] because of late checkout and a short walk” has already moved one mental step toward you. That is not vanity metrics, in hospitality, being named often shapes the shortlist before a click arrives.

Figure 1. The citation funnel for stay-intent questions. The bottleneck is not “ranking forever.” It is being among the few sources clean enough to extract.

It helps to separate three things hotel teams often mash together:

1. Ranking: your URL appears in a classic results list.
2. Retrieval: your page is among the documents a system fetches before answering.
3. Citation / attribution: the answer uses your page as support and shows that to the user (link chip, footnote, named mention, or clear paraphrase).

GEO (Generative Engine Optimization) is the research name for optimizing for that third layer. Aggarwal et al. (KDD 2024; arXiv:2311.09735) formalized generative engines as systems that satisfy queries by synthesizing multiple sources, then measured “visibility” not as a simple rank position but as how much of the answer’s substance and prominence a source receives. In their experiments, methods that added statistics, quotations, and citations to source pages improved visibility by up to about 40%. Classic keyword stuffing (still the muscle memory of too many hotel SEO retainers) did little.

Companion reading: SEO vs GEO for hotels: same page, two scoreboards settles what SEO still measures, what GEO adds, and how to audit one stay-intent page on both boards.

That finding should feel intuitive if you have ever watched a revenue manager argue with a vague homepage. Models, like skeptical GMs, prefer claims they can pin down. “Steps from the arena” is weak. “0.4 miles / about an 8-minute walk to the arena’s south entrance; garage parking from $XX; late checkout available race weekends with 48-hour notice” is the kind of sentence that survives compression.

Liu, Zhang, and Liang’s verifiability audit (Bing Chat, NeevaAI, perplexity.ai, and YouChat, not a re-measurement of ChatGPT Search or Google AI Overviews) matters here for a different reason. They found that generative search answers can feel helpful while citation support is incomplete or imprecise. The practical hotel takeaway is not despair. It is discipline: if the machines sometimes cite loosely, you still want to be the cleanest available source for the local facts that matter (distances, timing, policies, neighborhood orientation) so that when the system reaches for grounding, you are easy to use correctly.

Also notice what Pew saw about which sources get cited often in Google AI summaries: Wikipedia, YouTube, and Reddit were among the most frequent across the summaries they examined; government sites appeared more often in AI summaries than in standard results. That does not mean your hotel should become a subreddit. It means answer systems already lean on corroborating ecosystems. A lonely brand claim with no external echo is a weaker retrieval target than a brand claim that also appears, in compatible language, on a city guide, a venue FAQ, a marathon travel page, or a reputable local outlet.

Figure 2. SEO is not obsolete; it is incomplete. GEO adds a second scoreboard: extractability, entity clarity, and answer-level visibility.

Think about what an answer engine is trying to do for a guest. It is trying to reduce uncertainty before a commitment: where to base, how far the walk feels at midnight, whether the neighborhood works for a family with a stroller on race morning, whether the hotel’s story matches the itinerary.

That job description maps poorly onto most hotel websites. Many sites are still organized around the brand’s self-image: rooms, dining, spa, meetings, gallery, offers. Those pages matter for conversion once someone arrives. They are weak as citation targets because they rarely contain the answer-shaped unit a model wants to lift.

The pages that earn citations tend to look more like this:

Venue / arena concert pages. Not “we love live music.” A usable page says which door is closest, how long the walk is, what “sold out garage” means for your block, whether rooms face the street on show nights, what time noise typically fades, and how to book a late breakfast the next morning. The guest query fans out: walking distance, parking, late checkout, quiet room, last train, brunch the next day. One good page can feed several of those spokes if it is structured clearly.

Race / marathon / sports weekend pages. These win when they respect the itinerary physics: expo timing, packet pickup, early dinner, 4 a.m. alarms, luggage storage, late checkout politics, and the difference between “near the finish” and “near the start.” A page that pretends every runner is the same will not be the page a model trusts.

Wedding-guest and social-event pages. The booking decision is often made by someone who is not the couple, a guest flying in for 36 hours. They need a base, a shuttle truth, a noise expectation, a Sunday checkout that does not punish brunch. Specificity beats romance copy.

Neighborhood orientation pages with teeth. “Downtown energy” is empty. “Two blocks off the main bar strip; 12-minute walk to the convention center’s Hall B entrance; grocery and pharmacy on the same block” is citable.

Policy pages that answer planning friction. Late checkout rules, pet fees, parking dimensions, rollaway reality, quiet hours, dull on a creative deck, golden in a retrieval set.

What rarely earns citation: interchangeable lifestyle essays, thin location pages that only restate the address, and seasonal offer pages that expire into 404s. Google’s own guidance on helpful, people-first content is blunt about the “why”: create for people, not primarily to manipulate rankings; demonstrate experience and trustworthiness; do not confuse automation with a license to flood the index. Their AI-content guidance makes the same point from another angle, AI-assisted content is not banned; scaled, unhelpful content is the problem. For hotels, that is an invitation to publish fewer pages that actually know the neighborhood, not more pages that sound like every other hotel in the competitive set.

A useful mental model is query fan-out. One event creates a constellation of asks. If your content only targets the head term (“hotels near stadium”), you miss the spokes where answers are built.

Figure 3. Query fan-out around a hotel event. One page should cover the spokes with labeled sections, not one vague “experience the magic” block.

Generic page vs stay-intent page (same hotel, same query)

Hold one property constant. Ask the same guest question (where to stay for [event] at [venue]) and watch what a retriever can actually use.

The homepage is not “wrong.” It is the wrong evidence type for that query. Atmosphere converts once someone arrives. Citation for stay decisions needs a briefing.

If you only remember one craft rule, remember this: answer first, then prove.

A guest (and a model summarizing for a guest) should not hunt through brand atmosphere to find the fact. Put a 40-60 word answer near the top of each major section. Then support it with the details a human editor would insist on: distances, timing, tradeoffs, and what is not true.

Write for extraction without writing like a robot

Extraction-friendly does not mean ugly. It means the useful sentence is not buried under three paragraphs of mood. Prefer:

• Question headings that match how people ask (“How far is the hotel from the arena’s south entrance?”).
• Concrete measures (“about 8 minutes on foot,” “0.4 miles,” “garage height 6'8"”) over adjectives (“nearby,” “convenient,” “spacious parking”).
• Policy clarity in the same voice as the rest of the brand, late checkout is not a legal memo, but it also cannot be a wink.
• Named entities spelled the same way every time: venue name, event name, neighborhood name, hotel name. Inconsistent naming is how entities fragment.
• Dates and freshness signals when facts change (construction, temporary street closures, seasonal restaurant hours). Stale local pages are liability.

Gao et al.’s RAG survey is useful here as worldview, not as a hotel checklist: retrieval systems succeed when the right external text is available to pull. Your job is to be that text for the questions that create stay demand around you.

A practical page skeleton for stay-intent content

1. Title that names the intent: venue + stay framing, not a cryptic campaign name.
2. Opening answer: who this page is for, the base recommendation in one short paragraph.
3. Distance & access: walking, transit, parking, rideshare realities.
4. Timing & friction: noise, late return, early departure, luggage, checkout.
5. Neighborhood orientation: food, essentials, what is pleasant vs merely close.
6. Who it is not ideal for: this builds trust; models and humans both notice honesty.
7. FAQ: five to eight real questions in natural language.
8. Sources / corroboration: link the venue, the race organizer, the city transit page. You are not diminishing your brand by pointing outward; you are joining the citation graph.

Liu et al.’s work on verifiability is a reminder to be careful with soft claims. If you say “best for families,” support it with something checkable (connecting rooms, crib policy, quiet wing, grocery two minutes away). Unsupported superlatives are exactly the kind of sentence generative systems either skip or warp.

What Google’s helpful-content guidance implies for hotel teams

Google’s Search Central guidance on helpful, people-first content asks creators to evaluate who created the content, how it was created, and why. For a hotel, the winning “why” is obvious when it is honest: help a guest make a stay decision in this city, for this itinerary. The losing “why” is also obvious: manufacture pages to harvest search traffic with nothing a walking guest would thank you for. Their February 2023 guidance on AI-generated content fits the same frame, automation is a tool; usefulness is the standard. That is category hygiene, not a slogan.

There is a temptation, especially inside hotel groups with strong brands, to treat the website as a closed universe: if we publish it, we control it. Answer engines do not share that fantasy. They assemble. They cross-check. They overweight sources that already accumulate references across the open web.

That is why the right strategy is dual-track:

Owned: stay-intent pages on your domain, in your voice, with your policies and your accurate local detail. Earned: mentions and alignments off your domain, city tourism boards, venue “where to stay” modules, marathon travel guides, wedding planner roundups, reputable local journalism, thoughtful community discussion when it is real.

Figure 4. Owned vs earned in the retrieval pool. Silence often means the pool had better-structured alternatives, not that demand disappeared.

Seer Interactive’s September 2025 update reported that, within their client dataset, queries where the brand was cited in an AI Overview showed higher average organic and paid CTR than queries where an Overview appeared without that brand’s citation (they describe on the order of ~35% higher organic CTR and ~91% higher paid CTR in that comparison). They also note an important caveat: citation may correlate with underlying authority rather than purely cause the lift. For a hotel marketer, the operational reading is still sane, get into the answer when the answer appears, and do not pretend non-citation is neutral.

Pew’s observation that Wikipedia, YouTube, and Reddit show up frequently among cited sources should humble hotel content strategies that only publish inward. You do not need to “win Reddit.” You do need your best local facts to exist in forms other careful publishers can reuse. When the arena’s own site links a sensible stay section, or the marathon’s travel page mentions neighborhoods in language compatible with yours, you are no longer a solitary claim.

Owned content remains non-negotiable for a simple reason: earned media will not carefully explain your late checkout rule, your garage clearance, your quiet wing. Only you will, if you bother. The mistake is believing that owned pages alone can outshout a thin presence in the rest of the graph.

Print this. Apply it to one real URL, ideally a page that should answer a nearby event or venue query. Click the 0, 1 or 2 cell in each row to score it; your total saves in this browser.

How to read the total (/20): 0-8 invisible by structure (rewrite the top around one guest question. 9-12 partial) add units, sources, and friction FAQs. 13-16 competitive (monitor assistants and refresh before peak weekends. 17-20 citation-ready craft) still not a guarantee, but you have stopped sabotaging yourself with fog.

A twenty-minute ritual: open the page on your phone, write one sentence for what a stranger thinks it answers, ask the same guest query in Google and one AI assistant, score the table, then fix only the lowest two rows this week.

This is not a fantasy transformation program. It is a walk a sharp marketing lead can actually run with a GM’s patience and a web team’s calendar.

Days 1-5: Demand truth, not brainstorm theater

List the next 90 days of real demand anchors within a sensible radius: arena shows, stadium nights, convention in-hall dates, festivals, races, university move-ins, courthouse/wedding peaks if that is your market. For each anchor, write the questions a guest would ask before they care about your brand. Steal language from your own front-desk team; they already hear the unpolished versions.

Then search those questions yourself, Google, ChatGPT, and one other assistant your guests might use. Note who gets cited today. Note the gaps. Gaps are inventory.

Days 6-12: Choose three pages, not thirty

Pick three intents you can win with honesty:

1. One major venue / entertainment base page.
2. One recurring sports or race weekend page (or convention pattern, if that is your blood).
3. One wedding-guest or social-calendar page if that traffic is real for you.

Kill the temptation to commission a twelfth “neighborhood gem” essay. Depth beats coverage.

Days 13-20: Write like a briefing; edit like a skeptic

Draft with answer capsules under question headings. Add the numbers. Add the tradeoffs. Add the “not ideal for.” Have someone who actually works property (guest services, night audit, someone who has walked to the venue at 11:40 p.m.) mark what is wrong. That human pass is not decoration. It is the difference between a page a model can trust and a page that quietly misinforms.

Align with Google’s helpful-content tests while you edit: would a human arriving on this URL feel helped? Is experience visible? Is the page for guests, or for an imaginary ranking ghost?

Days 21-25: Make the page machine-legible without making it soulless

Check titles, H2s, FAQ blocks, internal links from your location and offers pages, and consistency of venue/event names. Add outbound links to primary sources (venue, organizer, transit). Ensure the page can stand alone if someone lands with no prior brand knowledge, because both humans and retrieval systems often do.

Days 26-30: Earn one echo

Do not end at publish. Pitch or provide a clean fact sheet to one external surface that already owns guest attention for that event: the venue’s visitor page, the race’s travel partners, a city tourism editor, a planner newsletter. Ask for accuracy, not flattery. The goal is corroboration in compatible language.

Then set a freshness cadence. Event pages rot. Construction happens. Restaurant anchors close. A citation earned in March can become an embarrassment in October if the facts drift.

What to measure (so you do not lie to yourself)

• Answer inclusion: for a fixed set of queries, are you named or linked in ChatGPT / AI Overviews / other assistants this month vs last?
• Branded search and direct: lagging indicators that consideration happened even when the click did not.
• Assisted conversions from stay-intent URLs: still real when people do click.
• Earned mentions: venue/organizer/press references that stabilize retrieval.

If your only KPI remains “organic sessions YoY,” you will underinvest in the pages that win the new shelf space.

Believe that searchability for hospitality now includes answer-shaped visibility, not only rankings. Believe that stay-intent content (event-adjacent, locally specific, honestly bounded) is the hotel industry’s natural citation unit. Believe that human editorial judgment is a competitive advantage precisely because the web is flooded with fluent emptiness. Believe that owned pages and earned corroboration are a pair, not a menu.

Do not believe that a homepage refresh alone will make ChatGPT “know” you. Do not believe keyword density is a GEO strategy. Do not believe you need a hundred pages before you need three true ones. Do not believe citation is a vanity metric; in a world where Pew measures single-digit click rates beside AI summaries, inclusion is often the only first impression you get.

intentStay exists for this category: AI-powered, human-edited stay-intent content for hotels, pages built around the local questions guests already ask, written to be found and fit to be cited. The craft above is the public belief system. The work is making it true on your URLs.

If you want to see how this maps to your calendar and competitive set, request a walkthrough. About thirty minutes. Your events. Your voice. Nothing mystical, just searchability where stay decisions actually form.

1. Athena Chapekis & Anna Lieb, Google users are less likely to click on links when an AI summary appears in the results, Pew Research Center, 22 Jul 2025. https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
2. Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan & Ameet Deshpande, GEO: Generative Engine Optimization, KDD 2024 (arXiv:2311.09735). https://arxiv.org/abs/2311.09735
3. Nelson F. Liu, Tianyi Zhang & Percy Liang, Evaluating Verifiability in Generative Search Engines, Findings of EMNLP 2023 (arXiv:2304.09848). https://arxiv.org/abs/2304.09848 https://aclanthology.org/2023.findings-emnlp.467/
4. Yunfan Gao et al. Retrieval-Augmented Generation for Large Language Models: A Survey (arXiv:2312.10997). https://arxiv.org/abs/2312.10997
5. Google Search Central, Creating helpful, reliable, people-first content. https://developers.google.com/search/docs/fundamentals/creating-helpful-content
6. Google Search Central Blog, Google Search’s guidance about AI-generated content, Feb 2023. https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
7. Seer Interactive (industry research; client-data study, not a public randomized sample), AIO Impact on Google CTR: September 2025 Update. https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update
8. Seer Interactive (industry research; expanded multi-intent cohort), AIO Impact on Google CTR: 2026 Update, 24 Apr 2026. https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-2026-update

Companion (not a primary source for the claims above): SEO vs GEO for hotels: same page, two scoreboards — the dual-scoreboard companion in this Knowledge cluster.

Searchability for hospitality, intentStay. Soft next step: Request a walkthrough.