If a client mentions that "ChatGPT recommended" your agency, or if you have noticed a strange uptick in qualified inquiries that did not come from a Google ad or a referral, you are likely seeing the early effects of AI search. The direct way to confirm it: check your web analytics for referral traffic from chat.openai.com, perplexity.ai, gemini.google.com, and Google's AI Overview panels, cross-reference that traffic against your inquiry form submissions, and use a website visitor identification tool to unmask which of those anonymous visitors turned into named leads. Most travel agencies cannot answer this question today because their analytics setup was built for a search era that assumed every visitor arrived by clicking a blue link. AI search visitors often do not click at all, and when they do, the referral data is thin. This article shows exactly what to measure, what tools close the gap, and what the numbers actually mean for a travel agency's pipeline.

TL;DR

• AI search tools currently account for less than 6% of formal search queries globally, but that share is projected to reach up to 25% by the end of 2026, and 15% of consumers already use generative AI for travel planning specifically.

• Standard analytics undercounts AI referrals because tools like ChatGPT, Perplexity, and Gemini each attribute traffic differently, and many AI Overview interactions never generate a click at all.

• Checking referral segments in your analytics is step one, but pairing that with a website visitor identification tool is what turns an anonymous AI-referred visit into a named lead your sales team can call.

• Citation frequency (how often your agency is named in AI answers) is becoming a more useful leading indicator than click volume alone.

• Travel agencies that treat AI search as a distinct channel, not a subset of SEO, see it compound into a real lead generation source rather than a vanity metric.

About the Author: This article is written by the Simaia team, which runs AI search audits and lead identification for B2B and consumer-facing service businesses across APAC, including travel and hospitality operators trying to understand where their inquiries are actually originating.

What Counts as an "AI Search" Inquiry for a Travel Agency?

An AI search inquiry is any client contact that originated from a large language model surfacing your agency in response to a travel-related question, whether that model then linked directly to your site or simply named you in its answer. This matters because the traditional definition of a "search-driven lead" assumed a linear path: query, click, landing page, form. AI search breaks that path in two ways. First, a portion of AI answers cite your agency without a clickable link at all, meaning the client remembers your name and searches for you directly or calls without ever "arriving" from a trackable click. Second, when a click does happen, the referral string it leaves in your analytics is often generic or missing, unlike the clean utm_source tags marketers are used to from paid campaigns.

For a travel agency this shows up as a client who says something like "I asked ChatGPT for boutique tour operators in [destination] and your name came up," but whose visit shows in Google Analytics as direct traffic or (not set). That gap between what the client experienced and what your dashboard recorded is the core measurement problem this article addresses.

How Do You Check Your Analytics for AI Referral Traffic?

Start by segmenting your existing analytics platform for known AI referral domains, because this is the fastest, lowest-cost way to get a baseline reading. Most modern analytics tools let you filter referral traffic by source, and AI platforms do leave identifiable domains when a click occurs: chat.openai.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, and in some cases Bing's chat interface [etchedmarketing.com]. Look at this segment over the last two to three months and compare it against the same period a year earlier.

A few practical steps:

• Filter for known AI domains in your referral reports and tag them as a distinct channel, not folded into "other" or "direct."

• Check for traffic spikes that coincide with press mentions or new content, since LLMs tend to cite sources that were recently published or recently gained authority [marchex.com].

• Ask your clients directly. This sounds unscientific, but multiple industry guides on AI search attribution point to direct customer conversation as one of the fastest ways to confirm AI-driven inquiries, especially because platform-side data is still incomplete [marchex.com] [etchedmarketing.com].

• Compare conversion quality, not just volume. Leads that arrive after an AI tool has already summarized your services, pricing tier, or specialty tend to ask more specific questions, a pattern consistent with AI search generating higher-intent traffic than broad organic search [onely.com].

The honest caveat here: analytics alone will underreport AI's influence. Google's own AI Overview traffic often shows up folded into standard organic search referrals rather than as a separate labeled channel, and a large share of AI Mode interactions produce no click to any external website at all [ziptie.dev]. That is not a flaw in your setup. It is a structural feature of how these tools currently pass (or do not pass) traffic downstream.

Why Does AI Search Traffic Look So Different From Google Traffic?

AI search traffic looks different because each platform has a distinct citation mechanism, and none of them replicate the "ten blue links" model that built modern analytics tooling. ChatGPT uses inline hyperlinks and tends to favor established, authoritative publishers when it does cite a source. Perplexity uses numbered footnotes and leans heavily on community-validated sources like Reddit threads and forum discussions. Google AI Overview and Gemini pull from Google's existing search index and display source chips rather than inline links. Claude uses bracketed footnote citations and draws on its Brave Search backend, prioritizing sources it can verify independently [columnfivemedia.com].

This is why a travel agency might be well cited on Perplexity because of an active presence in travel forums and Reddit threads, while being invisible on ChatGPT because it lacks coverage in trade publications or established travel media. These are not interchangeable channels competing for the same visibility tactic. Each one rewards a different kind of published presence, which is why a single "get better at SEO" strategy does not translate cleanly into AI search visibility.

What Should You Actually Track Beyond Click-Through Rate?

Click-through rate is becoming a misleading metric on its own, and the more useful measure is citation frequency paired with lead quality once contact is made. Research on AI Overview behavior shows a 61% drop in click-through rate on informational queries when an AI summary appears, and separate data indicates 93% of AI Mode searches produce zero clicks to external websites [ziptie.dev]. Pew Research has found that when an AI summary appears, only about 1% of visits to pages featured in that summary result in an actual click [columnfivemedia.com].

Read plainly, those numbers mean a travel agency judging its AI visibility purely by click volume will conclude AI search does not matter, when in fact the agency may be getting named constantly in answers that never generate a trackable click. The better leading indicator is how often your agency is named or cited across AI platforms for the queries that matter to your business, which is what a structured AI search audit is built to measure directly rather than infer from downstream traffic.

How Do You Turn an Anonymous AI-Referred Visitor Into an Actual Lead?

This is where most travel agencies lose the thread, because even when an AI-referred visitor does land on the site, they usually leave without filling out a form. A website visitor identification tool solves this specific gap by matching an anonymous site visit to a company or individual using firmographic and behavioral data, surfacing details like company name, individual contact, email, phone, and LinkedIn profile even when no form was submitted.

For travel agency lead generation specifically, this matters because a large share of high-intent research (comparing itineraries, checking pricing tiers, reading destination guides) happens well before a client is ready to fill out an inquiry form. If that research visit was triggered by an AI tool naming your agency, and you have no way to identify who that visitor was, you have effectively paid for the visibility (through content and PR effort) without capturing the return. This is the exact mechanism Simaia applies for clients: identifying inbound visitors down to company name, individual contact, email, phone, and LinkedIn, then handing that information directly to the client's sales team rather than leaving it sitting in an anonymous traffic report. In one healthcare SaaS case, this approach surfaced a major inbound lead from Australia that the client's sales team could action directly, alongside AI search visibility growing from 0% to 45% of the niche's traffic across major LLMs within 2.5 months.

Frequently Asked Questions

Does Google Analytics show AI search traffic accurately?
Not fully. Google Analytics can capture referral clicks from AI platforms when a domain string is passed, but a large share of AI-driven awareness produces no click at all, and Google AI Overview traffic often blends into standard organic search rather than appearing as its own channel [ziptie.dev].

How much travel search volume is actually going to AI tools right now?
AI search tools account for less than 6% of formal search queries globally today, with Google still holding roughly 90% of the search market. That said, 15% of consumers already report using generative AI specifically for travel planning, and AI's overall query share is projected to reach up to 25% by the end of 2026.

Which AI platform matters most for a travel agency?
It depends on where your existing content and reviews live. Perplexity favors community sources like Reddit, ChatGPT favors established publishers, and Google AI Overview draws from your existing search index performance [columnfivemedia.com]. A travel agency active in destination forums may perform differently across platforms than one focused purely on press coverage.

Can I ask clients how they found me instead of relying on analytics?
Yes, and several industry sources point to this as one of the more reliable near-term methods, since platform-side attribution is still catching up to how these tools actually route traffic [marchex.com] [etchedmarketing.com].

Is a drop in click-through rate a bad sign?
Not necessarily. A falling click-through rate alongside rising citation frequency can mean your agency is being named more often in AI answers, even though fewer of those mentions convert into a click, a pattern documented broadly across AI Overview behavior [ziptie.dev].

What is a website visitor identification tool, exactly?
It is software that matches anonymous website traffic to identifiable companies or individuals using available data signals, surfacing details like company name, contact person, email, and phone number, which is particularly useful for high-intent visitors who browse but never fill out a form.

Should a travel agency treat AI search as separate from SEO?
Yes. The underlying mechanics, citation formats, and preferred sources differ enough across ChatGPT, Perplexity, Gemini, and Google AI Overview [columnfivemedia.com] that a strategy built only around traditional keyword ranking will miss most of what drives AI visibility.

About Simaia

Simaia is an agentic marketing team built for companies that want to be found by buyers using ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, without hiring and managing a full internal marketing function to get there. The team runs AI search audits across all major models, identifies where a brand and its competitors currently appear, and produces the content and distribution needed to close the gap, all paced against a client's existing Google Search Console health so nothing already working gets disrupted. For travel agencies and other client-facing businesses, this includes de-anonymizing inbound visitors down to company name, individual contact, email, phone, and LinkedIn, turning AI-driven interest into leads a sales team can actually act on. Client results include an inbound lead volume increase of 10x within two months for one manufacturing client and AI search visibility growth from 0% to 45% within 2.5 months for a healthcare SaaS client.

If your agency wants a clear picture of where you actually stand across AI search platforms today, and a plan for what to do about it, get in touch with Simaia at https://www.simaia.co/.

References

1. How AI Search is Revolutionizing Customer Discovery: What Every Business Needs to Know - Marchex (marchex.com)

2. How AI Search Works: The Complete Guide (onely.com)

3. Is AI Search Sending You Traffic? Here's How to Check (etchedmarketing.com)

4. Future of AI Search : Less Traffic, Higher Conversions – ZipTie.dev (ziptie.dev)

5. AI Search Visibility Stats That Might Surprise You in 2026 (columnfivemedia.com)