A headline about consumers using AI to find local services can make a new marketing channel feel urgent. But a headline about discovery is not the same as evidence that AI search produces booked appointments for your business.
A press release from LionBear.ai reports that AI-driven local-search use rose from 6% to 45% of consumers in the past year and says 1.2% of local businesses are currently recommended by ChatGPT. The release says the research was conducted by LionBear.ai, an AI marketing agency. Treat the figures as a reason to ask better questions about your own marketing, not as a forecast of your results.
Discovery is not the same as a booked appointment
The report focuses on whether consumers use AI to find local services and whether businesses are recommended. Those measures do not tell you how many people book, show up, buy a service or return. For your budget decision, those downstream outcomes matter more than being mentioned in a response.
A prospective client might hear about your med spa, salon or clinic through an AI assistant, then visit your website or call later. If your tracking records only the last step, the original source could be missed. The reverse can happen too: someone may mention AI when asked where they heard of you, but that single answer does not show whether the channel brought in enough new business to justify more spending.
Track the path to a first booking
Start with a simple definition of customer acquisition cost, or CAC: the marketing spend you assign to a source divided by the number of first-time clients who book through it. Set the definition before you compare channels so that the same rules apply to each one.
Record the source of each inquiry and whether it becomes a first-time appointment. Keep inquiries, bookings and completed visits as separate stages. A person who asks about pricing is not yet a booked client and a booking that is later cancelled should not be counted as a completed visit.
Make it easy for staff to record what the client says without guessing. A short question such as “How did you hear about us?” can include an “AI assistant” option, alongside your existing choices. If the person is unsure, record that too. You can also look for AI-related referral information in website analytics, but treat it as one clue rather than a complete record of how the person found you.
Compare costs with outcomes
When you have enough consistent records for a useful comparison, calculate CAC for AI-related inquiries using the marketing costs you can reasonably assign to that source. Include paid promotion or agency work if those costs were specifically for the channel. If the work supports several channels at once, avoid assigning the full cost to AI search without a clear reason.
Then compare the result with your other sources of new appointments. Keep the comparison fair: use the same period, count first-time clients in the same way and make sure you are comparing equivalent costs. For example, a low cost per inquiry may look attractive but still be less useful than a source that brings in more first-time bookings for a similar spend.
CAC is only part of the decision. Consider whether new clients return and what they spend over time, especially if one source appears to bring in people who book a single visit. A channel that produces fewer initial appointments may still be worth investigating if those clients become repeat customers—but establish that from your own records rather than assuming it.
What to do before moving budget
- Add an AI assistant option to your inquiry-source tracking, without replacing your other source categories.
- Separate inquiries from first-time bookings and completed appointments.
- Record the marketing costs you can reasonably connect to each source.
- Review the results regularly and keep the same definitions from one review to the next.
- Increase or reduce spending only when your own booking and cost data gives you a reason to do so.
AI search may be worth testing, but the reported adoption figure alone cannot tell you what it is worth to your business. Use it as a prompt to measure where inquiries come from and whether they become profitable client relationships before shifting budget.
- appointment marketing
- customer acquisition
- ai search
- marketing measurement
- local business
Alan Jordan, founder and principal solutions architect. Data engineering, data science and business analytics for appointment-based businesses.
