Should Vacation Rental GEO Be A Marketing Priority?
GEO plays a growing role in your vacation rental marketing strategy. When a traveler asks ChatGPT, Perplexity, Gemini or Google’s AI Mode where to stay in your market, your brand is either in the answer or it is not in the conversation at all.
Over the years I’ve worked with more than 300 vacation rental companies, and in 2026 we started auditing their websites for AI visibility the same way we audit them for classic search. Between July and October we ran GEO audits on 21 vacation rental sites. The same handful of problems showed up again and again, and most of them are fixable in a week.
So is GEO a priority? Yes, in a specific order. It comes after the SEO foundation (if you haven’t read our guide to vacation rental SEO, start there, because nearly everything in it still applies) and after your booking engine works on a phone. It comes before any new paid channel, because most of it is free and all of it compounds.
The evidence that it matters now: Similarweb’s 2026 Generative AI Landscape report (US desktop, May 2026) found travel is the industry where ChatGPT cites the web most, with 22.6% of travel answers carrying citations against 6.8% overall, and Google showed an AI Overview on roughly 42% of US searches the same month. The traffic behaves differently from a Google click, too: 65% of the URLs ChatGPT cites sit two or three folders deep in a site, while 58.8% of its referral traffic lands on homepages. Deep pages earn the citation. The homepage gets the visit.
You can prove the point for your own market in sixty seconds. Open ChatGPT with search on and ask for the best pet-friendly cabins, or oceanfront condos, or whatever you sell, in your destination. Read which companies get named and which sites get cited. That list is the game.
We cover the full GEO setup for the vacation rental industry in this post, but don’t hesitate to reach out if you have a specific question or concern!
The GEO Basics & Terms To Know
Generative engine optimization (GEO) for a vacation rental website is the work of getting your business retrieved, cited and recommended inside AI-generated answers. You’ll also see it called answer engine optimization (AEO), LLM optimization, or AI search optimization. One practice, four labels. This guide says GEO.
The engines that matter in 2026: ChatGPT with search on (the largest, and what most guests mean by “I asked AI”), Google AI Overviews and AI Mode (both run on Google’s index, so your classic SEO carries straight over), Perplexity (cites sources on every answer), and Gemini and Copilot (smaller for travel today).
Three words get used interchangeably and mean different things. A citation is a link to your page as a source. A mention is your brand named in the answer, with or without a link. A recommendation is the engine telling the traveler to book with you. You want all three, and you measure them separately. GEO is not a software subscription, either. The work is making your site readable, quotable and corroborated.
How AI Engines Find, Read & Cite Websites
Search engines crawl, index and rank. AI engines do something close to it, with one change at each step:
- Fetch
- Retrieve
- Cite
Fetch. Each AI company runs more than one crawler, and they do different jobs. Via OpenAI:
GPTBot is “used to make our generative AI foundation models more useful and safe.” That is training. “OAI-SearchBot is for search.” And ChatGPT-User is “used for certain user actions in ChatGPT and Custom GPTs.” – OpenAI
Anthropic and Perplexity publish the same three-way split. The crawler that matters most for bookings is the search crawler, because it decides whether your pages can show up in a live answer at all.
| Crawler | Company | What it does | What blocking it costs you |
|---|---|---|---|
| GPTBot | OpenAI | Collects pages to train future models | Future models know less about you. No effect on ChatGPT search. |
| OAI-SearchBot | OpenAI | Indexes pages for ChatGPT search | You disappear from live ChatGPT answers. |
| ChatGPT-User | OpenAI | Fetches a page when a user asks for it | ChatGPT can’t read your page on request. |
| ClaudeBot | Anthropic | Training | Same as GPTBot, for Claude. |
| Claude-SearchBot / Claude-User | Anthropic | Search indexing / on-request fetch | Out of Claude’s search results and answers. |
| PerplexityBot / Perplexity-User | Perplexity | Surfaces and links sites in results / on-request fetch | Out of Perplexity answers. |
| Googlebot | The Search index, which also feeds AI Overviews and AI Mode | Out of Google entirely. | |
| Google-Extended | A robots.txt token for Gemini training and grounding, with no crawler of its own | Nothing in Search, per Google. | |
| Bingbot | Microsoft | The Bing index, which Copilot uses and ChatGPT search partly relies on | Out of Copilot; thinner coverage in ChatGPT search. |
Retrieve. One guest question becomes several searches, and the engine pulls the pages that answer each piece. The pages that win answer one specific question in plain text near the top, which is why deep pages get cited far more than homepages. A page titled “Pet-friendly oceanfront condos in Gulf Shores” answers the question. Your homepage answers nothing in particular.
Cite. The engine writes an answer and attaches sources. Three things decide whether you’re one of them: a passage worth quoting, facts that agree with each other and with the rest of the web, and sources the engine already trusts (reviews, the tourism board, local press) confirming you exist.
Google is explicit that none of this requires anything exotic for its own AI features. Via Google:
“There are no additional requirements to appear in AI Overviews or AI Mode.” And: “There’s also no special schema.org structured data that you need to add.” – Google
Good news: the work you did for search gets you into Google’s AI answers. The other engines need the same foundation plus a few things Google never asked for.
Tips On Confirming AI Crawlers Can Actually Reach Your Pages
Before you touch content or schema, confirm the crawlers can get in. In our 2026 audits this is where the money was. Of the 20 vacation rental sites we live-tested, 7 answered at least one AI crawler with a 403 that robots.txt never showed. The block came from the host, the CDN or the website vendor’s settings. In all 7 the blocked crawler was ClaudeBot; in 3 it was also GPTBot. The crawlers that fetch pages for a live ChatGPT or Perplexity answer were open on every site where we could confirm the result, which is the right outcome reached by accident.
Four checks, in order:
- Read robots.txt per bot, twice. CDNs cache this file; one site we audited served two different versions depending on the request. Add a cache-busting parameter (
/robots.txt?v=2) and compare. - Fetch a property page as each crawler with the command below, then once as a browser, and compare status code and size. A 200 that returns 15 KB when the browser gets 300 KB is a challenge page, not your property.
- Check the server logs for those user agents over the last 30 days. If OAI-SearchBot has never appeared, it isn’t blocked, it isn’t finding you, which is a sitemap problem.
- Run a bare
site:yourdomain.comsearch on Bing. ChatGPT search and Copilot lean on Bing’s index, and a site that’s thin in Bing is thin in both.
curl -A "OAI-SearchBot" -s -o /dev/null -w "%{http_code} %{size_download}\n" https://www.yoursite.com/rentals/some-property/
# repeat with: GPTBot, ChatGPT-User, ClaudeBot, Claude-SearchBot, PerplexityBot
# then once as a browser:
curl -A "Mozilla/5.0" -s -o /dev/null -w "%{http_code} %{size_download}\n" https://www.yoursite.com/rentals/some-property/When something fails, name the layer before you file a ticket: the CDN (a Cloudflare block page), a web application firewall, the origin server (a bare nginx or LiteSpeed error) or a security plugin. The fix is different for each, and “we’re blocked” with no layer named is a ticket that goes nowhere.
What A Realistic Vacation Rental GEO Timeline Looks Like
GEO is a young channel. Anyone promising you a share of ChatGPT bookings by a date is guessing. What we can give you is the order things move in, from doing this on client sites through 2026.
- Days 1 to 30: baseline and access. Measure where you show up today, then fix crawler access. The access fix is usually a vendor or host ticket, and the ticket is the long pole.
- Days 30 to 90: schema, quotable pages and the review engine. The first movement in mentions and citations shows up here, usually on a handful of specific questions.
- Month 3 onward: compounding. Facet pages get cited for long-tail questions, reviews pile up, and the engines start naming you unprompted for your niche.
The leading indicators move in that order too: crawler hits in your server logs within days of an access fix, citations in a tool like Ahrefs within weeks, AI referral sessions in GA4 last and smallest. On the show in July we put the real number at 2 to 5 percent of site traffic for most managers, low volume and unusually high intent, so report that segment’s conversion rate, not its size. Attribution is thin (a guest who reads your name in ChatGPT and then Googles you shows up as organic), and a single prompt test is noise, so run every measurement twice.
Here’s a way to measure your baseline in your destination:
- Write 6 to 10 prompts the way a guest would type them: your niche (“best pet-friendly cabins near Dollywood with a hot tub”), a “best company” question, a policy question (“cancellation policy for Outer Banks rentals during hurricane season”), and one about you (“Is [your brand] a good company to rent from?”).
- Run each prompt twice in ChatGPT with search on, once in Perplexity, and once in Google AI Mode, a few hours apart.
- Record which brands were named and which sites were cited, and whether you were recommended, mentioned, cited or absent.
- Score it as “named in N of M answers” and keep the list of every third-party site the engines cited. That list becomes your corroboration targets later.
- Save the prompts and never change the wording. Re-run the same file 30 days after your fixes ship. If you have Ahrefs, pull its AI citation count for you and two competitors on the same day as a second measure, and don’t blend the two into one trend.
Setting Up Your ACE: Access, Content & Evidence
Our SEO guide organizes the work as TLCK: technical, links, content and keywords. GEO has its own three-part setup: Access (can AI crawlers fetch your pages and read the facts on them?), Content (is what you say structured, quotable and consistent?) and Evidence (does the rest of the web back you up?).
The order is not optional. A blocked crawler makes your schema invisible. Schema with no quotable copy behind it gives an assistant nothing to say. Perfect copy that nobody else corroborates loses to the competitor with 400 Google reviews and a listing on the tourism board. Fix them in order.
Access Basics: AI Crawlers, Firewalls & Machine-Readable Pages
Access is free, fast, and where most of the damage is. Start here regardless of budget.
Tips On Checking Your Website Stack (Managed Hosts vs Vacation Rental Vendors vs Custom Builds)
Managed WordPress & CDN Hosts
Most of the blocks we found were not decisions. They were defaults: CDN “bot fight” modes and managed firewall rules that treat AI crawlers as bad bots, host-level bot protection on the origin server (which is how a site passes every test at the CDN and still 403s ClaudeBot from a bare nginx page underneath), rate limits that cut a crawler off after twenty quick requests, and security plugins on top. Check each layer, because they stack.
Vacation Rental Website Vendors & PMS Templates
If a vendor builds and hosts your site, there is often a user-agent deny list you cannot see in any setting, and the fix is a ticket. Ask for their AI crawler policy in writing. The second vendor problem is rendering: many property templates load the unit grid, rates, amenities and reviews with JavaScript, and a crawler that doesn’t run JavaScript (most don’t) sees a shell. We have audited property pages with ten unique words in the raw HTML, and a reviews block that read, literally, {[review.title]}.
Custom & Headless Sites
Modern frameworks are fine when the page is rendered on the server and fail when it isn’t, or when the metadata streams into the body so a bot finds the title and canonical 45 KB down the page. If your developer says “it’s server-side rendered,” ask to see the property facts in the raw response with JavaScript off.
robots.txt Directives For AI Crawlers
Publish explicit allows. A robots.txt that says nothing about AI crawlers is fine, but one that names them and adds a Crawl-delay is a ceiling on how much of your catalog ever gets read: at a three-second delay, a crawler that visits for ten minutes sees two hundred pages.
User-agent: GPTBot
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: Claude-SearchBot
Allow: /
User-agent: Claude-User
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: Perplexity-User
Allow: /Three traps. A named crawler group replaces your User-agent: * group for that crawler, so repeat your star group’s Disallow lines inside each named group. Google-Extended is not a crawler: per Google’s crawler documentation it is a robots.txt token for Gemini training and grounding that “does not impact a site’s inclusion in Google Search,” so it does nothing to AI Overviews or AI Mode either way. And blocking training crawlers (GPTBot, ClaudeBot) is a legitimate business decision, while blocking the search and user crawlers (OAI-SearchBot, ChatGPT-User, Claude-SearchBot, PerplexityBot) keeps you out of live answers. Know which one you’re doing.
Server-Rendered Property Content
Bedrooms, sleeps, bathrooms, a starting rate and the pet policy have to exist in the raw HTML of every property page with JavaScript off. Test with “view source” (not the inspector) or the curl command above. Reviews that load from a widget or sit in an iframe are not page content. In our audits, 8 of the 14 property pages we read in raw HTML had no guest review text at all, and 3 of those 8 declared a star rating in schema with no visible review behind it: a claim with no evidence, on a page whose whole job is evidence.
llms.txt & Markdown Twins
llms.txt is a proposal from Jeremy Howard of Answer.AI (September 2024) for a plain-text file at /llms.txt that gives AI systems a curated map of your site: an H1 with your name, a blockquote summary, then H2 sections of links with one-line descriptions. The same convention lets you serve a clean Markdown twin of any page at its URL with .md appended. For a vacation rental site:
# Bear Ridge Cabin Rentals
> 84 cabins in Pigeon Forge and Gatlinburg, booked direct since 2009.
> Booking direct saves guests the 15.5% Airbnb adds to every stay.
## Collections
- [Pet-friendly cabins](https://www.example.com/pet-friendly-cabins.md): 31 cabins that welcome dogs, fenced yards noted
- [Cabins with hot tubs](https://www.example.com/hot-tub-cabins.md): every cabin with a private hot tub
## Properties
- [Bear Necessities](https://www.example.com/rentals/bear-necessities.md): 3BR cabin, hot tub, mountain view, 6 miles to Dollywood
## Policies
- [Cancellation and pet policy](https://www.example.com/policies.md): refund windows, pet fees, check-in timesThe positioning paragraph is the most quotable thing on your site, so put the direct-booking savings claim in it as a number. The Markdown twins are the bigger win: a property page as clean text with no navigation, cookie banner or booking widget competing for the model’s attention, which also makes the rendering problem above moot. Link each twin from its HTML page with <link rel="alternate" type="text/markdown" href="/rentals/slug.md"> and generate the set nightly from your PMS feed.
Two honest notes. Engine support for llms.txt is uneven and mostly undocumented, so treat it as cheap insurance, not a ranking lever. And most of the llms.txt files that exist are junk: of the 21 sites we audited, 12 had none, and of the 9 that did, only 2 were built on purpose. The rest were an SEO plugin’s dump of blog titles, or in one case a file with no links in it. If you want a real one without a developer, our free llms.txt generator crawls your site from the homepage URL and writes the file.
Crawlable URLs, Sitemaps & Facet Pages
- One stable URL per unit, with a canonical that doesn’t change when dates are added. A search form that posts to a results page gives a crawler nothing to follow.
- Sitemap unit count equals PMS unit count, with real lastmod dates. We’ve audited a 150-post blog missing from the sitemap entirely, and a property type the plugin never registered.
- Facet collection pages, 8 to 12 of them, as real indexable URLs with unique intro copy: pet friendly, hot tub, large group, walk to the beach, private pool, EV charger, monthly stays. Nobody asks an assistant for “vacation rentals in Tennessee.” They ask for a pet-friendly cabin with a hot tub within twenty minutes of Dollywood that sleeps ten. A facet page is the retrievable unit that matches the shape of the question. A JavaScript filter state is not a page.
We walked through the full access audit on the show, and where all of this is heading in SEO, AEO, GEO, Oh My!
Content Basics: Structured Data, Quotable Copy & Consistent Facts
Schema gets you parsed. Body copy gets you cited. Most vacation rental sites have neither on the pages that matter: of the 19 sites where we checked, 11 had no valid lodging schema across their unit pages.
Schema Markup For Vacation Rentals
One caveat first. Google’s vacation rental structured data is documented for sites in its Hotel Center program, and the rich result it feeds is gated accordingly. Mark up your units anyway, for a different reason: structured data is the cleanest statement of your facts that any parser, Google’s or OpenAI’s, can read without guessing. Keep it matching the visible page, which is the one thing Google does ask for.
The VacationRental Graph
Type each unit as VacationRental with a containsPlace Accommodation node carrying bedrooms, bathrooms, beds and occupancy, and add Product so offer parsers read it too. Give every unit a stable identifier and precise coordinates. Root every @id at your own domain: if a vendor roots your schema at theirs and serves your images from their CDN, leaving them costs you the asset.
amenityFeature
One LocationFeatureSpecification per amenity, mapped from your PMS. It looks excessive until you remember what people ask: is there a crib, is the yard fenced, can I charge my car. Each is a yes or no an assistant can answer only if you said it in a form it can parse.
Reviews & aggregateRating
The most underrated item on the list. A star rating is not quotable. A sentence is. Include review nodes with the verbatim review body, the guest’s first name and the date. Where you syndicate Airbnb and Vrbo reviews into your PMS, this is an export job, not a writing job.
Offers, Organization & sameAs
Without a live rate feed, the honest ceiling is an AggregateOffer with a lowPrice and a line that the total depends on dates. Sitewide, publish Organization, WebSite and BreadcrumbList, and give Organization sameAs links to your Google Business Profile and your Airbnb and Vrbo host pages. That is how an engine reconciles “the company on this site” with “the host with 1,200 reviews on Airbnb” as one entity.
Quotable Copy: Answer The Questions Guests Ask AI
Every retrieval system, Google’s included, is looking for a passage that answers the question. Write those passages on purpose:
- Pet policy and check-in as literal sentences. “Yes. Bear Necessities welcomes up to two dogs for a $75 per-stay fee, and the yard is fenced.” An icon in an amenity grid is not an answer.
- Fees as numbers, with a worked example. “Cheaper than Airbnb once the fees are counted” is the strongest claim an independent manager has, and exactly the comparison assistants get asked to make. State the cleaning, pet and service fees, then show a three-night total next to the same stay on Airbnb with its 15.5% on top. “No hidden fees” gives a model nothing to repeat.
- Named places with distances, five or more per property: “a 6-minute walk to the 5th Street beach access, 12 minutes by car to Dollywood.” “Close to everything” matches no question anyone asks.
- Review text in the HTML body, not only in a widget and not only in schema.
- Policies as flat HTML with FAQ markup: cancellation, minimum stays, age limits, quiet hours. High-frequency questions, usually locked in a PDF, an accordion or the booking engine’s terms modal.
- Answer in the first sentence under a heading, in passages that stand alone: a paragraph lifted out of the page should still name the property and the place instead of “this” and “it.”
One more, as a hypothesis we haven’t proven: don’t paste your OTA listing copy onto your own site. When the same sentence exists on your page and on Airbnb, the engine may cite the OTA listing instead of you. Test it: run an exact-phrase search on one distinctive sentence from three property descriptions, and rewrite any that come back on Airbnb or Vrbo.
Facts, Freshness & First-Party Data
AI engines repeat whatever you say, including your contradictions. Every one of the six sites we audited under our current rubric, which adds a brand-fact check, stated at least one fact two different ways: two unit counts, two founding years, a bathroom count given four ways on one home, a cancellation window that was 21 days on the FAQ and 30 days in the rental agreement. Both versions were already showing up in AI summaries. Pick one unit count, one founding year, one service area, one phone number, and use them everywhere: the site, Google Business Profile, your schema, your directory listings. Put a real “last updated” date on guides and maintain it.
Then publish something only you know: booking-window patterns in your market, when the summer fills up, typical stay length, an owner-facing market report built from your own reservation data. First-party data is the hardest content for a competitor to copy and the easiest for an engine to cite, because there is no other source for it. We keep a primary-sourced vacation rental statistics library for the same reason, and the audit numbers in this post are the same idea applied to GEO.
Evidence Basics: Reviews, UGC & Off-Site Corroboration
In SEO the third pillar is links. In GEO it is corroboration: does the rest of the web agree that you exist and that you’re good? 54.1% of the sources ChatGPT cited in travel answers were reviews and user-generated content (Similarweb, US desktop, May 2026). More than half. Not blogs, not brand sites.
- Google Business Profile first: rating, count and recency. Then TripAdvisor, and the review counts on your own Airbnb and Vrbo listings, which the engines read as evidence about you whether or not the booking happens there.
- Run a real review program. In our experience an automated post-stay ask gets a 10 to 20% response; a personal ask from a named person gets 30 to 40%. Read Google’s rules first: its Maps content policy prohibits incentives (“payment, discounts, free goods and/or services”), asking staff to collect “a certain number of reviews,” and any move to “discourage or prohibit negative reviews, or selectively solicit positive reviews.” The review-bounty tactics that circulate in this industry break all three.
- Put your strongest review proof on your own site as HTML. A 4.9 from 600 reviews that lives only in a third-party widget is invisible to the crawler.
- Get on the sources the engines already cite in your market: the tourism board or CVB listing (often the single most-cited third-party domain for a destination), regional magazines’ “where to stay in X” roundups, the Reddit and forum threads where people ask your exact question, and local directories with your consistent name, address and phone.
- Entity hygiene: one brand on one domain, old domains redirected, the same name and phone everywhere,
sameAspointing at the real profiles. We’ve seen a manager outranked for its own name by a different company with a similar one.
Which sources matter in your market? You already have the list: every third-party site the engines cited in your baseline prompts, ordered by how often. Work it top down. Claim the listing, pitch the roundup editor, request inclusion on the CVB page, answer the thread.
Content Marketing & Prompt Research Basics
Prompt research is not keyword research. Keywords are two to four words; prompts are sentences stacked with constraints: pet, hot tub, twenty minutes from Dollywood, sleeps ten, mid-March. You’ll find them where keyword tools don’t look: your guest-services inbox (every question asked twice is a page), the Q&A on your OTA listings, Google’s “People also ask,” the fan-out searches ChatGPT displays while it works, and the AI visibility reports in Ahrefs and Semrush, which show which questions already produce citations in your market and who gets them.
What gets cited: facet pages that match the question’s shape, area guides with firsthand detail (which beach access has parking, what’s open in February), policy pages that answer in a sentence, original data posts, and a named author with a real role. What doesn’t: a spun “top 10 things to do,” stock photos, and the paragraph that opens with your town’s founding date.
Monitoring AI Visibility & Using Prompt Research To Find New Topic Ideas
Measure with one tool per metric, and never blend them in a trend:
- Ahrefs’ AI citation counts, across all platforms, for you and two competitors on the same day each month.
- Google Search Console. AI Mode impressions rising while clicks stay flat is the signature of being summarized rather than visited, and the argument for the quotable-copy work above.
- A GA4 referral segment for chatgpt.com, perplexity.ai, claude.ai, gemini.google.com and copilot.microsoft.com. Low volume, unusually high intent; report the ratio. Our GA4 guide for vacation rentals covers the setup.
- Server logs by crawler. The leading indicator, and the only way to confirm your llms.txt and Markdown twins are actually being fetched.
- Your saved prompt panel, re-run on the same wording 30 days after each round of fixes.
Turning it into topics is simple. Every question where a competitor or an OTA is cited and you aren’t is a page brief. Write the page that answers it in the first sentence.
How Long Does It Take To See Results With GEO?
Access fixes show in the logs within days and in citations within weeks. Content and schema take a crawl cycle to land, so 30 to 60 days. Reviews and off-site corroboration compound over quarters. Expect the first clear movement on a few specific questions around day 60 to 90, and don’t trend anything from one prompt run or one week of referral data. Attribution will understate the channel for a long time. That’s fine. The organic click from a guest who first read your name in an AI answer still books.
Classic SEO & GEO: Why You Still Need Both
Our SEO guide has a section on AI Overviews as the new layer of search. This is the reverse view. Google’s AI Overviews and AI Mode run on Google’s index and ranking signals, ChatGPT search and Copilot lean on Bing’s, and links and authority still decide who gets retrieved in the first place. GEO decides what the engine does with you once you’re in the room.
What’s different is the unit of competition. Search ranks pages; AI engines quote passages. Search sends the click to the page that ranked; AI engines cite deep pages and send the traffic to your homepage. Search tolerated a stale unit count on your about page; an AI engine will repeat it. And reviews, a conversion input in SEO, are a visibility input in GEO. The foundation is the same. The finishing work is new.
Growing Direct Bookings For The Long Term With Vacation Rental GEO
Hopefully you’ve learned a lot! Like organic search, this is work, done in the right order, given time. The finish line is different: not a ranking, but your brand named when a traveler asks for the kind of stay you sell, your pages cited when they ask about policies, and a small stream of visitors who arrive already knowing who you are. If you want a second set of eyes on where you stand today, book a no-obligation call and we’ll run your market’s questions through the engines with you.
Common Vacation Rental GEO Questions
- What is the difference between SEO, GEO, AEO and LLM optimization?
SEO gets your pages ranked in a list of links. GEO, AEO and LLM optimization are three names for the same newer practice: getting your business retrieved, cited and recommended inside AI-generated answers. The foundation carries over. What’s new is the emphasis on quotable passages, consistent facts, machine-readable catalogs and review corroboration, because the engine is writing a summary instead of showing a list.
- How do I get my vacation rental website to show up in ChatGPT?
In order: make sure OAI-SearchBot and ChatGPT-User can fetch your property pages (test it, don’t assume it), get your site indexed in Bing, publish facet and property pages that each answer one specific guest question in plain text, state your facts once and consistently, and build the review and third-party footprint the engine checks you against. Then ask ChatGPT the questions your guests ask and see what changed 30 days later.
- Should I block AI crawlers to protect my content?
Separate the two kinds. Training crawlers (GPTBot, ClaudeBot) collect pages to train future models; blocking them is a legitimate choice and, per OpenAI’s documentation, has no effect on whether you appear in ChatGPT search. Search and user crawlers (OAI-SearchBot, ChatGPT-User, Claude-SearchBot, Claude-User, PerplexityBot) fetch your pages for live answers, and blocking those removes you from the answer. The content you would be “protecting” is a property description you want quoted. Allow the search crawlers, decide on the training crawlers deliberately, and check that your host hasn’t decided for you.
- Do I need an llms.txt file?
Yes, because it is cheap, and no, it is not a ranking lever. It gives AI systems a one-fetch map of your catalog, and the Markdown twins it links to are the bigger win. Engine support is uneven and mostly undocumented, so treat it as insurance. Build a real one, not a plugin dump of blog titles; our free llms.txt generator writes one from your homepage URL.
- Will AI search hurt my direct bookings?
Not in the way the headlines suggest. Travelers use AI for inspiration and shortlists; the booking still finishes on a website, and the engines cite the specific, direct-answer pages that an independent manager with a real site can publish and an OTA listing can’t. The manager most exposed is the one with no site worth citing. We went deep on this on the show: Using AI Search To Plan Travel Won’t Hurt Direct Bookings.
