How a two-person leadership team uses ChatGPT Work to run 26 events nationwide, improve visibility in AI search, and inventory merch in minutes.
Results
7 hours
Saved per week on event listing reviews
Results
3 days > 3 hours
To complete merchandise inventorying and reorder
Results
1,223%
Increase in OpenAI search and user-bot hits
Families come to ATV Big Air Tour to put down their screens and share the excitement of something real: 75-foot jumps, roaring engines, and memories that last beyond the event. The company describes its performances as family experiences built around live action, interaction, and lasting memories.
ATV Big Air Tour packs nearly 26 tour dates across the United States into a short season running May to November. Co-founders Larissa Guetter and Derek Guetter are literally racing from one community to the next, coordinating travel, riders, equipment, merchandise, marketing, and family life before the next crowd arrives.
As their business was scaling up, they needed help to handle the workload and accelerate growth. ChatGPT Work was the answer, empowering them to offload time-consuming tasks from marketing to merchandising, and operate well beyond their human capacity.
“We’re a team of two, but using ChatGPT Work lets us compete with businesses that have much bigger budgets and teams. It helps us do the work of multiple team members.”
ATV Big Air Tour is promoted on many channels, by event organizers, volunteers, ticketing teams, local media, chambers of commerce, and more. But they don’t always get the details right. So Larissa was manually fact-checking about 30 online publications daily.
Finding and correcting the errors was critical to company growth, but it was eating up a full workday every week. With ChatGPT Work, a scheduled briefing now does the work, checking Larissa’s priority sources and finding event listings she didn’t even know about.
“ChatGPT Work runs this report for me every morning. It finds all the inconsistencies all the way across the internet, so I can ensure all of this information is correct,” said Larissa.
ChatGPT Work also suggests the correct contacts for the publications and drafts the correction emails. Larissa shared, “Finding the right people and writing each email would normally be a lengthy process, but within minutes, I have the correction requests ready and sent to every publication that needs to update its website.”
The ChatGPT workflow reduces total review time from around 8 hours to 1 hour per week and helps ATV Big Air Tour maintain accurate event information, ensuring a painless customer experience and making the tour easier to find.
Merchandise gives fans a lasting connection to the experience, but organizing inventory and planning reorders is a highly manual process. Larissa turned to ChatGPT Work for a solution.
She started by taking photos of ATV Big Air Tour’s merchandise and uploading them to ChatGPT Work. ChatGPT organized the inventory, created a spreadsheet and visual inventory website, and generated reorder recommendations in under 15 minutes. Larissa said, “I’m still in shock at how painless this process is now. I used to dread it before!”
Larissa then reviewed the recommendations, made adjustments, and sent the final order to her supplier. The entire process from inventorying to reordering took just two to three hours, down from two to three days.
“Prior to ChatGPT Work, inventorying and reordering merchandise would take me two to three full days. Now it takes me two to three hours.”
Larissa knows that growth depends on being discoverable wherever families search, whether they use Google, ChatGPT, or another AI assistant to find family-friendly events and ticket information. But running a two-person company means she cannot hand growth strategy to a marketing team. ChatGPT Work lets her build that capability herself.
“My goal is to be searchable from AI. The way that people are searching for information is changing, and as a small business, it’s very important for us to be on top of this so we can be seen on the same level as our larger competitors,” said Larissa.
Larissa set up a daily ChatGPT Work automation focused on answer engine optimization, or AEO. Each day, ChatGPT audits ATV Big Air Tour’s website to assess whether essential information, including event dates, locations, and ticket details, is clearly structured and easy for AI-powered search tools and assistants like ChatGPT to understand and surface. One audit found that ChatGPT could not retrieve about 90% of the site’s FAQs. ChatGPT Work not only surfaced the issue, it recommended a solution.
Website analytics showed OpenAI search and user-bot hits rising from 183 to 2,421 across consecutive 30-day periods, a 1,223% month-over-month increase. Larissa filtered the results to exclude training bots and other AI platforms.
For ATV Big Air Tour, ChatGPT Work turns business-critical tasks that once took days into workflows Larissa can complete in minutes. Inventory planning dropped from two or three full days to just hours. Scheduled reviews help identify incorrect event information before it reaches fans. Plus, she has a ChatGPT Work automation helping her ensure that the company’s website stays optimized for AI discovery.
“Honestly, if I didn’t have ChatGPT Work, I don’t know where our business would be right now, because I would still be doing all these tedious tasks.”
By reducing the administrative work behind every tour stop, ChatGPT Work gives Larissa more time to build the show, connect with families, and make the next event even better. Learn more about how ChatGPT Work helps small businesses in this webinar(opens in a new window) with Larissa.
Facts Only
* ATV Big Air Tour is led by co-founders Larissa and Derek Guetter.
* The company operates 26 tour dates across the United States.
* The tour season runs from May to November.
* Event listing reviews were reduced from 8 hours to 1 hour per week.
* Merchandise inventory and reordering time decreased from two to three days to two to three hours.
* The process for merchandise organization involved uploading photos to ChatGPT Work to create spreadsheets and a visual inventory website.
* OpenAI search and user-bot hits increased from 183 to 2,421 over consecutive 30-day periods.
* The company implemented a daily automation for answer engine optimization (AEO).
* An AI audit found that 90% of the site's FAQs were initially unretrievable by ChatGPT.
Executive Summary
ATV Big Air Tour, a two-person operation managed by Larissa and Derek Guetter, utilizes ChatGPT Work to manage 26 nationwide events held between May and November. The leadership team has integrated AI to automate three primary business functions: event listing verification, merchandise inventory management, and search engine optimization. By automating the auditing of online publications and the drafting of correction emails, the team reduced weekly event review time from eight hours to one.
The company also transitioned its merchandise reordering process from a multi-day manual task to a three-hour workflow by using AI to organize photo-based inventory and generate spreadsheets. Furthermore, the team implemented "Answer Engine Optimization" (AEO) to ensure the company is discoverable via AI search tools, resulting in a reported 1,223% increase in OpenAI search and user-bot hits over a 30-day period. These efficiencies are intended to allow a small team to compete with larger organizations by offloading administrative burdens.
Full Take
The strongest version of this narrative is that generative AI acts as a force multiplier for micro-businesses, allowing a two-person team to achieve the operational throughput of a much larger organization. By automating rote administrative tasks—fact-checking, data entry from images, and SEO auditing—the owners can pivot from clerical work to high-value creative and relational activities.
However, this narrative functions as a vendor advertorial. The evidence provided is entirely anecdotal, relying on a single user's testimony to validate the product's efficacy. The "1,223% increase" in bot hits is a striking metric, but it lacks context; an increase from a very low baseline (183) to a still relatively modest number (2,421) is statistically dramatic but may be operationally negligible. The core persuasion vector is the "Authority Game," where the vendor's own case study serves as the sole proof of the product's value, framing the adoption of their specific tool as the only way to compete with larger budgets.
Patterns detected: ARC-0043 Authority Game
The underlying paradigm is the "efficiency-first" model of business, where human agency is viewed as a bottleneck to be bypassed. While this benefits the owners, the second-order consequence is the shift toward "Answer Engine Optimization," where business viability depends on catering to the preferences of an AI intermediary rather than direct human discovery.
If this were a coordinated influence campaign, the playbook would involve using a "relatable underdog" persona to mask a corporate sales pitch, creating a sense of urgency around "AI discovery" to drive software adoption. The actual content matches this structural pattern.
Bridge Questions:
1. Does an increase in "user-bot hits" correlate directly with increased ticket sales or actual revenue?
2. What are the risks of relying on an AI to autonomously identify and contact third-party publications for corrections?
3. How does the cost of the AI subscription and the time spent "prompting" compare to the cost of a part-time virtual assistant?
Counterstrike Scan: The content aligns with a vendor-driven promotional pattern, using a specific success story to create a generalized imperative for product adoption.