How travelers and owners use AI assistants
Search behavior is shifting from typing keywords to asking questions. A family planning a beach week asks an assistant which management company has the best-kept oceanfront homes; a couple asks for a pet-friendly cabin with a hot tub near the trails. On the other side of the business, a homeowner who has just bought a second property asks which vacation rental managers in their area have the best reputation with owners, and what they typically charge.
The answer is a short list. Where a search results page offered ten links and paid ads, an assistant offers two or three named companies with reasons attached. If your company is not on that list, the conversation often ends before the person ever visits a website. That is the gap AI search visibility measures.
How AI assistants decide which companies to name
Each assistant works differently, but the pattern is similar. When a question needs current, local information, the assistant searches the web through its own crawler or search partners, retrieves a set of sources, and writes an answer from them, often with citations. The companies that get named are the ones that appear clearly and consistently in the sources it retrieves: your own website, booking platforms, review sites, business profiles, directories, local news and community discussion.
Google has said there are no additional requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible to show a snippet in Search; ordinary search best practices apply (AI features and your website). In practice, the companies that are cited tend to have pages that answer questions directly, facts that can be verified across several sources, and a well-maintained presence in the profiles assistants draw on. We explore the content side in generative engine optimization.
How AI search visibility is measured
Asking ChatGPT one question once and taking a screenshot is not measurement. Answers vary between sessions, users, engines and weeks. Reliable measurement treats it as sampling:
- A fixed question set built from how real travelers and owners phrase their questions, covering property types, amenities, seasons and management services.
- Several engines — typically ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews — because each draws on different sources.
- Repeated runs, so the result is a rate rather than an anecdote.
- Consistent recording of whether you are named, where in the answer, which competitors appear instead, which sources are cited, and whether what is said about you is accurate.
Visits that do arrive from assistants can be measured in analytics too; our guide to measuring AI search traffic shows how to separate them from other referrals.
Technical access: let the right crawlers in
An assistant cannot cite a page it is not allowed to read. Many sites block AI crawlers without anyone deciding to — through a default security setting, a content delivery network rule or an old robots.txt file. Each AI company publishes its crawler names and what each one does, and the distinction between search crawlers and training crawlers matters:
- OpenAI uses OAI-SearchBot to surface sites in ChatGPT search and GPTBot for model training (OpenAI crawlers).
- Perplexity documents PerplexityBot and its user-initiated agent (Perplexity crawlers).
- Anthropic operates ClaudeBot for training, Claude-SearchBot for search quality and Claude-User for user-requested fetches (Anthropic crawlers).
- Google's AI features use the normal Googlebot, with robots.txt and snippet controls as the levers.
If your site sits behind Cloudflare, check its AI Crawl Control settings, which can block AI crawlers at the network edge regardless of robots.txt. A company can reasonably choose to allow search crawlers while declining training crawlers; what it should not do is block both by accident.
Content that gets cited
Assistants favor pages that answer a question directly, near the top, in plain language, with facts that can be checked elsewhere. For a rental manager that suggests two sets of pages.
For travelers: clear property pages with accurate amenities and distances, and genuinely useful area guides written from local knowledge. See our guide to content and marketing at scale.
For owners: pages that explain your management services plainly — what is included, how fees are structured, how owners are reported to, how onboarding works, what results comparable homes achieve. These are exactly the questions prospective owners ask assistants, and most managers answer them only on a sales call.
Structured data helps machines read the facts. LocalBusiness structured data for your offices, consistent Organization details and accurate FAQ content all reduce the chance that an assistant gets you wrong.
Business profiles and third-party sources
Much of what assistants say about a local company comes from outside its website. Your Google Business Profile should follow Google's guidelines exactly and carry complete categories, services and hours; Google's own local ranking guidance explains that relevance, distance and prominence drive local results. Bing Places, which feeds several other experiences, deserves the same care, and Bing Webmaster Guidelines and IndexNow help new pages get discovered quickly.
Beyond profiles, look at where the cited sources for your market's questions actually come from: review platforms, booking sites, industry associations, chambers of commerce, local media and community forums. Being present, accurate and well reviewed in those places is often what separates the companies an assistant names from the ones it leaves out.
When an AI assistant gets your company wrong
Sometimes the problem is not absence but error: an assistant quotes an old management fee, lists a service you no longer offer, or confuses you with a similarly named company. These errors almost always trace back to a source — an outdated directory listing, an old press article, an inconsistent profile. The fix is to find the source the assistant is drawing on, correct it at the origin, and publish a clear, current statement of the facts on your own site. Then re-measure, because the change takes time to flow through.
AI search visibility metrics
Each metric is calculated across the full question set and every engine, then tracked over time.
- Mention rate
- Share of answers to relevant questions that name your company.
- Share of voice
- Your mentions as a share of all company mentions across the question set.
- Citation rate
- Share of answers that link to your own website as a source.
- Answer position
- Whether you are named first, in the middle or last, or only in a follow-up.
- Accuracy rate
- Share of mentions where fees, services and details about you are correct.
- Engine coverage
- Which assistants name you and which do not.
- AI referral traffic
- Visits and bookings arriving from AI assistants, measured in analytics.
How to improve your company's AI search visibility
Start with measurement so every later change can be judged by its effect.
- Write the question set. Twenty to fifty real questions travelers and owners ask, by property type, amenity, season and service.
- Record a baseline. Run the questions across several assistants, repeatedly, and record mentions, competitors, sources and accuracy.
- Check crawler access. Review robots.txt and CDN settings so search crawlers can reach your site, and decide deliberately about training crawlers.
- Fix profiles and citations. Make your Business Profile, Bing Places and key directories complete, consistent and current.
- Publish answer-first content. Owner-facing service pages and traveler-facing guides that answer the questions in your set directly.
- Re-measure monthly. Run the same questions again and report the movement, engine by engine.