Summary
- The two co-founders of ATV Big Air Tour used ChatGPT Work to cut their weekly event-listing error checks from eight hours to one.
- Uploading product photos now produces an inventory site and reorder plan in 15 minutes, shrinking a three-day inventory process to two or three hours.
How a two-person team runs a tour across 26 cities
ATV Big Air Tour is a motocross show that travels to 26 U.S. cities from May through November. According to a customer story OpenAI published on September 2, the two-person team behind the tour uses ChatGPT Work to automate event-listing checks, inventory management, and AI search visibility — handling a workload that would otherwise rival a much larger competitor's operation.
Turning an eight-hour daily check into one hour
Tour information spreads through a scattered mix of event organizers, volunteers, ticketing partners, local media, and chambers of commerce, and dates or venues frequently get listed wrong. Larissa used to manually check 30 online outlets every day to catch these errors, a task that alone ate up eight hours a week.
Once she scheduled a daily morning briefing in ChatGPT Work, the tool started delivering an automatic report flagging site-wide errors — including listings Larissa hadn't even known existed. ChatGPT doesn't just spot the mistakes; it also pulls contact information for the outlet in question and drafts a correction request email. That took the weekly check-time from eight hours down to one, saving seven hours a week.
From a single product photo to a full inventory site
Sorting merchandise inventory and handling reorders used to be just as labor-intensive. Larissa now photographs the products and uploads the images to ChatGPT Work, which in under 15 minutes generates an inventory list, a spreadsheet, a browsable inventory website, and reorder recommendations. Larissa reviews and adjusts the recommendations, then sends the final order to suppliers. "It does the work of several team members," said Larissa Getter, co-founder of ATV Big Air Tour. The company says a process that used to take two to three full days now takes two to three hours.
Getting found in search: a daily AI search audit
Larissa's goal is to make sure families can find the tour whether they're searching on Google or asking ChatGPT. With no room for a dedicated marketing team at a two-person company, that job also fell to ChatGPT Work. It now automatically audits the website every day, checking whether dates, venues, and ticket information are structured in a way AI search tools can actually parse. This process — known as Answer Engine Optimization, or AEO — isn't about traditional search-engine ranking but about structuring a site so AI answer tools like ChatGPT surface it correctly. The audit revealed that ChatGPT couldn't read roughly 90% of the site's FAQ content at all, and rather than just flagging the problem, it proposed fixes.
The numbers
| Task | Before | After |
|---|---|---|
| Weekly event-listing check | 8 hours | 1 hour |
| Inventory sorting and ordering | 2-3 days | 2-3 hours |
| AI search/bot traffic over 30 days | 183 visits | 2,421 visits (up 1,223%) |
OpenAI said this traffic figure excludes training-data crawler bots and traffic from other AI platforms.
A playbook smaller teams can borrow
The approach Larissa actually used boils down to three steps. First, schedule an automatic daily briefing to catch errors in event information circulating online. Second, upload product photos to get an inventory list, website, and reorder plan all at once. Third, run periodic audits of the website to confirm AI search tools can actually read its structure. In all three steps, a human still reviews the output and gives final approval — ChatGPT is only taking over the repetitive work in between.
Editor's take
What makes this case interesting isn't the list of tasks ChatGPT Work handled — it's that those tasks used to require separate people. Event-listing checks would normally fall to a PR person, inventory management to logistics, and AEO audits to a marketing team. Here, one person is running all three as automated workflows. That seems to be exactly the message OpenAI wants to send with this story: ChatGPT Work isn't just doing one task faster, it's standing in for an entire team.
Our earlier coverage of ChatGPT Work demos, published on August 18, found that all three demos — sales, marketing, and strategy — followed the same skeleton: switch modes, connect tools, specify the question and format, check intermediate output, get human approval. This ATV Big Air Tour case follows the same pattern. A person still uploads the photo and reviews and signs off on the final result; only the repetitive middle steps have disappeared. That's exactly where the gap narrows between a company with a large marketing team and a company of two.
The AEO audit is the detail worth paying closest attention to in practice. A website can look perfectly fine to a human visitor while being structurally unreadable to AI search tools — which means it might as well not exist on ChatGPT or any other AI search surface. The traffic figure here should be read as a measure of the rate of change, not as an absolute scale of impact.
In the coming weeks, OpenAI will likely publish more small-business case studies like this one to support its enterprise sales pitch for ChatGPT Work. The key question is how many more stories emerge with concrete time-savings numbers attached. The more such evidence accumulates, the faster smaller teams still on the fence are likely to move.
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