State of AI in outdoor recreation marketing: a 2026 survey report

The numbers say 68% of small businesses use AI regularly. Talk to actual outfitters and guides, and you get a different picture. Most have tried ChatGPT for a blog post or two. Some use it for social captions. A few have wired it into their content workflow in a way that produces real results. The gap between “have used AI” and “use AI in a way that moves the needle” is where most of the outdoor recreation industry sits right now.

This report pulls together survey data, industry benchmarks, and what we see working across the outdoor businesses we work with to give you a straight look at where things actually stand with AI in outdoor recreation marketing as of mid-2026. Not the hype version. The real one.

Where outdoor operators actually stand with ai

A QuickBooks survey from late 2025 found that 68% of US small businesses use AI tools regularly, up from 48% in mid-2024. That tracks with broader trends, but the outdoor recreation industry skews behind the average. Most operators are seasonal businesses with small teams. Marketing often falls to the owner or one overloaded staff member who handles everything from guiding to bookkeeping to fixing the trailer hitch.

When you dig into what “using AI” means for these businesses, the answer is almost always content generation. Blog posts. Email campaigns. Social captions. That makes sense. Content is the task where AI saves the most obvious time, and it is the task most outdoor businesses have been putting off for years because nobody had the hours.

The businesses pulling ahead are the ones treating AI as a production tool inside a real strategy, not as a replacement for having one. They have a content calendar. They know which keywords to target. They use AI to produce drafts faster, then have someone who knows the river or the trail review what comes out.

The ones who dump a prompt into ChatGPT and publish whatever comes back are producing content that reads like it could be about any river in any state. It is generic by default. Google can tell the difference, and so can your customers.

What the data says about ai and marketing roi

Marketing teams using AI report saving about 11 hours per week, according to HubSpot’s 2026 marketing report. For a small outfitter doing their own marketing, that kind of time savings sounds like a different life. In practice, the number depends on what you are using it for and how much rework the output needs.

The clearest ROI we see comes from content volume. An outfitter who published two blog posts a year before AI can now publish two a month with roughly the same time investment, as long as a review process exists. That matters because publishing consistently is one of the biggest factors in whether SEO works at all. Google rewards sites that add useful content regularly. If AI gets you from sporadic to steady, that alone is worth the effort.

Salesforce’s 2026 State of Marketing report found that 75% of marketers have adopted AI, but most are still using it for one-way, generic campaigns. The businesses seeing real returns are the ones who combine AI speed with human judgment. They use AI to draft, then edit for accuracy and voice before anything goes live.

On the paid side, AI-driven ad campaigns are showing 22% better ROI and 29% lower acquisition costs compared to manually run campaigns. That sounds impressive until you look at who is actually benefiting. Most small outdoor businesses are not running campaigns sophisticated enough for AI optimization to matter much. If you are still deciding whether to spend $500 a month on Google Ads or Meta, the AI advantage in paid media is not your bottleneck. Get the basics right first.

Where the ROI question gets harder to answer is content quality. AI can produce a lot of words quickly. Whether those words rank, build trust, and drive bookings depends on factors AI does not control: accuracy, local detail, and whether the piece answers the question a real person actually searched. AI content without a real person in the loop tends to plateau quickly.

How ai search is changing who gets found

The bigger shift happening alongside AI content tools is AI search itself. Google AI Overviews now appear on roughly 30% of travel-related searches, and the number keeps climbing. When someone searches “best guided rafting near Asheville,” Google increasingly answers the question right at the top of the page, pulling information from sites it considers authoritative.

ChatGPT, Perplexity, and other AI assistants are doing something similar. They pull from Bing’s index, Google Business Profiles, review sites like TripAdvisor and Yelp, and whatever structured data they can find. When a potential customer asks an AI assistant “where should I go fly fishing in Montana,” your business either shows up in that answer or it does not. There is no page two to scroll to.

For outdoor businesses, this changes the math on SEO. A page one ranking used to mean steady organic clicks. Now, if an AI Overview answers the query using your competitor’s content, that searcher might never scroll down to your listing. A Seer Interactive study from September 2025 found that organic click-through rates drop by as much as 61% on queries where AI Overviews appear.

But the flip side is real too. Brands cited inside AI Overviews earn 35% more organic clicks than they would from a traditional ranking alone. Getting cited is better than ranking. The operators whose content gets pulled into AI answers are writing clear, specific, factual pages. Trip descriptions with real details. Pricing on the page. FAQs that answer the questions people actually ask before booking.

If you have been doing solid content work and keeping your Google Business Profile updated, you are closer to being AI-search-ready than you probably think. We covered the mechanics of this in our guide to showing up in AI search.

Where ai falls short for outdoor businesses

AI does not know your river. It does not know that the put-in moved last spring, that the hatch on the lower section peaks in late September, or that the trail to the overlook washed out two winters ago. It produces content that sounds plausible and is sometimes wrong in ways that matter.

For outdoor recreation, wrong facts are not just embarrassing. A blog post that calls a Class V river “beginner friendly” is a safety problem. A page that lists the wrong season for a guided trip wastes a potential customer’s time and yours. A piece that names a trailhead that does not exist makes your business look careless. The local, on-the-water knowledge that makes outdoor content useful is the thing AI cannot pull from its training data.

AI also struggles with voice. It defaults to a tone that reads like a tourism brochure written by committee. “Experience the thrill of world-class rapids.” Nobody talks like that. The businesses getting the best results from AI are the ones who treat every draft as raw material that needs reworking by someone who actually runs the trips being described.

And then there is strategy. AI can write a blog post. It cannot tell you which blog post to write next, or whether that post fits into a plan to rank for the terms your customers search before they book. Knowing what your customers search is still a human job, and AI content without that direction is just volume without purpose.

Only 19% of marketing teams track AI-specific KPIs, according to a 2026 Digital Applied report. That means most businesses using AI for content have no idea whether it is actually working. They are publishing more, but not measuring whether the additional content drives traffic, rankings, or bookings. If you cannot answer the question “did that blog post bring in any customers,” the tool producing it does not matter.

The gap between adopters and everyone else

The SBA reported in late 2025 that 83% of growing small businesses have adopted AI, compared to 55% of declining ones. Correlation is not causation, but the pattern tells you something. The businesses that invest in tools and processes tend to be the ones already doing the work. AI amplifies what is already there. It does not create a marketing strategy from nothing.

In outdoor recreation specifically, the gap is growing between operators who publish year-round and operators who go dark from October to March. The off-season used to be dead time for most operators’ marketing. AI makes year-round publishing realistic even for a one-person operation, but only if you pair it with a plan for what to publish and a process for reviewing what the AI produces.

Consider two hypothetical rafting outfitters in the same market. One started using AI-assisted content in early 2025. Over 18 months, they published 40 blog posts covering trip types, seasonal conditions, gear guides, and local area information. They now have 40 indexed pages, each targeting a different search query, each linking to their booking pages. The other outfitter still has the same five pages they had in 2023.

When Google or ChatGPT looks for sources to cite about rafting in that region, which business has more material to pull from? The compounding effect of consistent content is not new, but AI has made the gap widen faster. The operators who started 18 months ago are not just ahead. They are pulling further ahead every month, because each new piece of content strengthens the authority of everything else on the site.

The ones who are still sitting it out are not staying in place. They are falling behind relative to competitors who are building a content library that did not exist two years ago.

What to actually do with this information

If you are already using AI for content, the next step is tightening the process. Build a review workflow where someone with real experience checks every piece before it goes live. Make sure your content targets specific keywords and fits into a calendar, not just whatever topic sounded good on a Tuesday morning. Track whether those posts are getting indexed, ranking, and driving traffic. If you are not measuring, you are guessing.

If you have not started yet, the barrier is lower than you think. Pick five topics your customers ask about repeatedly. “What should I wear on a rafting trip.” “Best time of year for fly fishing in Colorado.” “Do I need experience for a guided kayak tour.” Use AI to draft a piece on each one. Edit them yourself or have a guide read through for accuracy. Publish them. Then do it again next month.

That rhythm, sustained over six months or a year, is what produces results. Not because any single post is going to transform your business, but because 30 or 40 useful pages covering the questions your customers actually ask creates a body of content that Google and AI search tools can work with.

• Use AI for first drafts, not final drafts. Every piece needs human review for accuracy, voice, and local detail.
• Start with the content your customers already search for: trip details, seasonal conditions, what to expect, what to bring.
• Keep your Google Business Profile current, because AI search tools pull from it directly.
• Treat content as an ongoing process, not a project with an end date. Marketing works like maintenance, not like a renovation.

None of this is complicated. None of it is new, either. The outdoor businesses getting real value from AI in 2026 are not doing anything exotic. They write about what they know, use AI to do it faster, and make sure a real person checks the work. The ones who will still be struggling in 2027 are the ones waiting for the technology to do the thinking for them. It will not. You still need to know your customer, know your water, and show up where people are looking.