This isn’t a story about a miracle transformation. It’s a story about specific work that produced measurable results — and what you can take from it for your own business.

The business: a small tour and guide operation in the Hurricane/La Verkin area. Multi-day canyoneering and hiking experiences, family-run for several years, consistent repeat customers, strong reputation locally. Annual revenue in the low six figures. Completely invisible to AI search.

When we started, a search for “guided canyoneering tours near Zion” in ChatGPT didn’t surface them at all. Perplexity returned two larger competitors and a generic TripAdvisor roundup. Google Maps was the only place they showed up, and only when someone searched their exact business name.

Six months later: they appear in ChatGPT recommendations for relevant searches. Perplexity includes them in Zion-area tour comparisons. Google Maps placement improved significantly. They’ve added a consistent stream of new customers who found them through AI search — not through referrals.

Here’s what we actually did.

Step 1: The Audit (Week 1)

Before touching anything, we documented the current state:

Google Business Profile: claimed but 40% complete. No photos, no services listed, outdated hours.
Business name inconsistency: three different versions across Google, TripAdvisor, and their Facebook page.
Website: functional but minimal. A home page with photos, an about page, and a contact form. No FAQ, no detailed service descriptions, no geographic content.
Reviews: 14 total. Most from 2021-2022. Zero owner responses. No recent activity.
Schema markup: none.
Directory presence: Google and TripAdvisor only. Not on Yelp, Bing Places, or Apple Maps.

The audit wasn’t discouraging — it was clarifying. None of these were hard problems. They were just unfinished work.

Step 2: Google Business Profile (Week 2)

This was the highest-leverage move and we did it first.

We spent about three hours bringing the GBP to complete:

Business description rewritten to include specific tour types, geographic service area (Hurricane, La Verkin, Virgin, Springdale), and the experience style (family-friendly, beginner-accessible, safety-focused)
Services listed individually: day hikes, canyoneering, slot canyon tours, multi-day expeditions
Photos: 22 new photos added showing actual tours in progress, not just landscape shots. Real customers (with permission), real guides, real terrain.
Hours: verified and corrected for current season
Q&A section: seeded 6 common questions with answers

The photos made the biggest immediate difference. Within three weeks, their GBP profile started getting significantly more views and direction requests.

Step 3: NAP Consistency (Week 2-3)

We standardized the business name, address, and phone number across every platform and made sure it exactly matched their GBP.

Then we claimed and completed missing profiles:

Yelp for Business: full profile, photos, service descriptions
Bing Places: claimed and completed
Apple Maps Connect: submitted and verified
TripAdvisor: updated to match consistent information

This took about four hours total. Low excitement, high impact.

Step 4: Website Content (Weeks 3-4)

The website needed content that AI models could read, understand, and cite.

We added:

A detailed “Our Tours” page for each tour type, with specific descriptions of what the experience involves, what fitness level is needed, what gear is provided, and what customers can expect
A FAQ page with 12 questions and direct, specific answers
A service area section explicitly mentioning the towns and parks we operate near: Hurricane, La Verkin, Virgin, Springdale, Zion National Park, Grafton, Rockville
A brief “About” expansion that grounded the business in the specific local area

Total content added: approximately 3,000 words across several pages.

We also added basic LocalBusiness and FAQPage schema markup to the website. This tells AI models and search engines in structured code what the business is and what questions it answers.

Step 5: Reviews (Ongoing from Week 3)

We set up a simple review request system: after every tour, a follow-up text message with a direct link to the Google review form.

Not a generic “please leave us a review.” A specific message thanking them for the specific tour and making it as easy as possible with a one-tap link.

Results over 6 months: 31 new reviews. From 14 total (mostly 2021-2022) to 45 total, with 31 in the past 6 months. Average rating remained at 4.9.

The owner responded to every review. Positive reviews got a personal thanks. One negative review (gear availability issue) got a direct response acknowledging the problem and explaining what changed. That response alone was cited by multiple new customers as a reason they booked.

Step 6: One Blog Post Per Month

We added a simple content cadence: one short blog post per month answering a question their customers commonly ask.

“Is canyoneering safe for beginners? What to know before your first slot canyon”
“Best time of year to tour Zion’s slot canyons”
“What to wear and bring on a guided desert hike in southern Utah”

Nothing elaborate. 600-900 words each. Written to actually answer the question, not to stuff keywords.

This content started being pulled by AI models within 2-3 months. One Perplexity result for “beginner canyoneering near Zion” now includes an excerpt from their blog post.

The Results at 6 Months

AI search visibility: Appearing in ChatGPT and Perplexity results for relevant queries where they were previously absent.

Google Maps: Moved from ~8th position to 3rd position for “guided tours near Zion” in Maps results.

Reviews: 14 → 45, with 31 in 6 months. Average 4.9 stars.

Inquiry volume: Up approximately 40% compared to the same 6-month period the prior year, with new customers specifically mentioning finding them through online search.

Referral efficiency: Several new customers mentioned that a friend had recommended them and they looked them up online — and the improved online presence meant the referral converted instead of getting lost.

What Made It Work

Nothing we did was magic. The tour operation was already good. The problem was that its quality wasn’t visible online.

Every step was work that most business owners could do themselves, given time and focus. The schema markup was the only technical piece — that took a contractor about 3 hours.

The whole project took roughly 20-25 hours of work spread over a month, plus the ongoing review process (about 30 minutes per week).

The return on that investment is ongoing and compounds every month as reviews accumulate and content ages into authority.

Interested in seeing what this would look like for your business? Book a free 15-minute discovery call and we’ll walk through your current visibility and what the highest-leverage moves are.

Frequently Asked Questions

Is this typical — can most businesses expect these results? Results vary based on starting point, market, and how much competition exists for AI search in the specific category. This business was in a good position — quality operation, specific category, meaningful but closeable gap. Businesses with more competitive markets or more fundamental problems will see different timelines.

Do you need to hire someone to do all of this, or can business owners do it themselves? Most of this work is DIY-able. The schema markup is the technical exception — that’s worth hiring for. Everything else (GBP, content, reviews) can be done by the business owner with guidance. The question is usually time and priority, not skill.

How do I know if AI is actually sending me traffic? You can test it directly: search for your business type in your area using ChatGPT and Perplexity. If you show up, AI is working for you. If you don’t, you know what to fix. More systematically, you can ask new customers how they found you — that qualitative data adds up fast.

What if my business is more established and already has good reviews? The foundation work matters less for well-established businesses with strong review profiles. The highest-leverage moves for them are usually website content (FAQ, service descriptions) and schema markup — getting the structured data in place so AI can properly understand and cite the business.

Related: What ChatGPT vs. Google Local Search Looks Like in Practice — a direct comparison of what each surface recommends and why.

The full guide: The Small Business Owner’s Guide to AI and Modern Search in Southern Utah.

How We Helped a Southern Utah Business Get Recommended by ChatGPT