See how SMEs across Australia, New Zealand, Thailand, and New Zealand have used AI voice agents, agentic SEO, and local SEO to win more customers without growing their teams.
A well-regarded tour operator running elephant sanctuary experiences, jungle trekking, and cooking classes near Chiang Mai was losing a significant portion of their inbound enquiries. Most of their potential customers were calling from Europe, Australia, and China — time zones 6–8 hours behind Thailand. By the time the owner arrived at the office in the morning, enquiries had moved on.
The business had no dedicated phone staff, and the owner was typically in the field guiding tours during daylight hours. WhatsApp enquiries went unanswered for hours. The website had an online booking option, but many customers — especially Chinese visitors — strongly preferred to speak with someone before committing.
Lanna Mountain deployed a multilingual AI voice agent trained on the business's full service catalogue: tour descriptions, pricing, availability windows, group size requirements, dietary options, pickup logistics, and what to wear and bring. The agent was configured to handle enquiries in English, Mandarin, and Thai — the three primary languages of their customer base.
The agent was also trained on the most common objections and concerns — questions about animal welfare standards, safety procedures for children, and cancellation policies — with responses that reflected the business's authentic values and approach.
Within 90 days of launch, booking conversion from inbound calls increased by 38%. The majority of this gain came from after-hours calls that had previously gone unanswered. Mandarin-language enquiry conversion was particularly strong, increasing by over 50% as Chinese visitors were able to get their questions answered in their preferred language for the first time.
The owner reported reclaiming approximately 3 hours per day previously spent returning calls and answering repeat questions. That time was reinvested into tour quality and customer experience on the day.
"I didn't realise how many bookings I was losing to unanswered calls. Now I wake up to confirmed bookings that came in while I was asleep."— Tour operator, Chiang Mai
A sole-trader plumber based in Brisbane's northern suburbs was turning over approximately $680,000 per year but felt like he was working harder than the revenue justified. A call analysis revealed that over 55% of inbound calls went unanswered — he was on jobs, driving between sites, or simply couldn't pick up. Emergency calls after 5pm consistently went to voicemail, with less than 15% of callers leaving a message.
Hiring a receptionist wasn't viable — the cost wouldn't be recovered until he had significantly more call volume. A traditional answering service had been tried previously, but the impersonal handoff and inability to answer specific questions about pricing and availability meant customers rarely converted.
Lanna Mountain configured an AI voice agent using the plumber's existing mobile number as the entry point. The agent was trained on his service area (northern Brisbane and surrounds), his typical job types (hot water systems, blocked drains, general repairs, emergency call-outs), after-hours pricing structure, and turnaround time commitments.
For emergency calls — burst pipes, blocked toilets, no hot water — the agent was programmed to escalate to a direct SMS alert to the owner so he could make a human call-back decision within minutes if needed. Routine enquiries were captured, qualified, and logged for his review at the end of each work day.
In the first month of deployment, 31 additional qualified enquiries were captured that would previously have been lost. Four of these were emergency after-hours jobs generating over $800 each. Total additional revenue in month one was estimated at $14,200 against a deployment cost of $297.
By month three, the owner had enough volume to justify hiring a part-time apprentice — a hiring decision he had deferred for two years because the lead flow felt too uncertain to commit to the additional wages.
"I was sceptical about AI answering my phone — but it handles the calls better than I do. Customers don't even know it's not a person."— Plumber, Brisbane
A mid-range restaurant in Bangkok's Silom district was receiving strong reviews from customers who found them — but very few people were finding them. The restaurant ranked at position 18 on Google Maps for "Thai restaurant Silom", which in practice means invisibility. A Google Maps position below 3 captures less than 8% of clicks.
The owner had an incomplete Google Business Profile, photos that were 2 years old, and had never responded to any of the 94 reviews the restaurant had accumulated. There was no local content strategy, no keyword targeting, and the website had not been updated in 18 months.
Lanna Mountain began with a full Google Business Profile overhaul: complete category selection, keyword-optimised description, 87 new photos, accurate hours and attributes, and a systematic response to all existing reviews. A Google Posts calendar was established — two posts per week highlighting seasonal specials, events, and new menu items.
A review generation programme was implemented: staff were trained to verbally request reviews at the end of positive dining experiences, and QR codes linked to the Google review page were placed on receipts and table cards. Agentic SEO tools were deployed to build location-specific content and monitor competitor performance across 12 target keyword phrases.
Within 90 days, the restaurant's Google Maps position had moved from 18 to 3 for their primary target keyword. Direction requests — a strong proxy for foot traffic intent — increased by 220%. Review count grew from 94 to 167, with an average score maintained at 4.7 stars.
The owner reported that weekend bookings — previously hit-or-miss — became consistently full within six weeks of the Google Maps ranking improvement. A Saturday dinner service that had been averaging 60% occupancy moved to 85–90% over the following two months.
"We had always relied on word of mouth. Now Google sends us customers we've never met before. The bookings on Saturday nights are remarkable."— Restaurant owner, Bangkok
A four-practitioner physiotherapy clinic in Wellington CBD was operating at 75% capacity and couldn't understand why. They were well-reviewed, centrally located, and ACC-registered. The owner suspected the problem was new patient acquisition — but the practice manager had no time to focus on marketing while managing appointments, billing, and ACC claims.
Phone analysis revealed that between 8am and 9am and after 5pm — the times when working patients typically tried to book — the front desk was either not yet open or had closed for the day. An estimated 40% of potential new patients were trying to book outside these windows and reaching voicemail.
Lanna Mountain deployed an AI voice agent configured specifically for the practice's intake process: gathering patient details, identifying the type of injury or condition, confirming ACC status, checking practitioner availability by specialty, and booking directly into the practice's scheduling system via integration.
Simultaneously, a local SEO programme was implemented targeting Wellington-specific terms for physiotherapy, sports injury, and rehabilitation — addressing gaps identified in the practice's Google Business Profile and citation consistency across NZ health directories.
In the first month, the AI voice agent captured 31 new patient bookings that arrived outside business hours — of which 23 were confirmed and attended appointments. At an average appointment value of $180, this represented approximately $4,140 in additional weekly revenue that had previously been invisible to the practice.
Occupancy rate moved from 75% to 92% within eight weeks. The practice subsequently hired a fifth practitioner — a hire the owner had been considering for two years but hadn't been able to justify on existing patient volume.
"We were a good practice that not enough people could book into. The AI agent solved the access problem without us needing to extend hours or hire more reception staff."— Clinic director, Wellington
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