I run audits on campground websites every week. Six months ago, the most common question I heard was "how do I rank higher on Google?" Today, half the questions are "why doesn't ChatGPT recommend my park?" The game shifted, and most operators haven't caught up. Here's the practical playbook for showing up in ChatGPT, Claude, Gemini, and Google's AI Overviews in 2026.
How AI assistants actually answer travel questions
When a camper asks ChatGPT for "best lakefront RV park near Asheville with full hookups," the model does three things at once: searches its training data, calls out to a live web index, and synthesizes a paragraph that names specific parks and their features.
The web-index step is where you compete. Gemini hits Google's index. ChatGPT uses Bing plus its own crawler (GPTBot). Claude uses ClaudeBot and a Brave Search partnership. Each model indexes the web with different priorities, but they all hunt for the same signals: structured data that names the entity, content that answers the question, recency, and authoritative citations from elsewhere. That's not theoretical, it's documented. The Search Engine Land guide to AI Overviews is the most thorough practitioner reference for the Google side specifically.
At Google's Search Central Deep Dive event, Gary Illyes was unambiguous: "To get your content to appear in AI Overview, simply use normal SEO practices. You don't need GEO, LLMO or anything else." Translation: there is no separate "AI SEO" silver bullet. The work below IS normal SEO, applied with discipline. Source: Search Engine Land.
2016 SEO vs 2026 AI SEO: what changed
| What worked in 2016 | What works in 2026 |
|---|---|
| Keyword density in body copy | Entity clarity in schema + H1 |
| Backlink quantity | Authoritative citations + consistent NAP |
| Title tag stuffing | Direct question-answering format |
| Blog post volume | Fresh, dated content with visible "last updated" stamps |
| Meta description as ad copy | Meta description as a clean factual summary |
| robots.txt allow everything | Explicit allow for GPTBot, ClaudeBot, Google-Extended |
The seven things that get your park cited by AI
1. Schema.org structured data (the single biggest lever)
Schema.org markup is how the open web tells crawlers what a page is about in machine-readable form. For a campground, the minimum stack is:
LodgingBusiness(orCampground, a Schema.org subtype added in 2024) for the park itselfLocalBusinessfor the operator entityFAQPagefor any Q&A sections on your siteBreadcrumbListfor navigation context
Without schema, AI sees prose. With schema, AI sees a structured entity with attributes (amenities, location, hours, photos, reviews) it can reliably extract and cite. In our audits, the vast majority of independent park sites had zero structured data. That's the gap, and it's closable in an afternoon.
2. Entity clarity (say your park's full name everywhere)
LLMs build internal entity graphs. If your park is called "Pine Lake RV Resort & Marina," that exact phrase should appear in the H1 of every key page, in the structured data, in the alt text of the hero image, and in the page title tag. Stop using clever taglines as your H1. Use the entity name. Pronouns confuse the model.
3. Answer-first FAQ formatting
LLMs train heavily on question-and-answer pairs. A page structured as "Question: ... Answer: ..." with proper FAQ schema is essentially pre-tokenized for citation. Pick your top 10 most-asked guest questions and make them a real FAQ section on the most relevant page. "Do you allow dogs?" "What's the longest rig you can fit?" "Is there cell service?" Answer each question directly in the first sentence under the heading. No throat-clearing.
4. Freshness signals
AI models heavily weight recency for travel queries, because "where should I camp this summer" is inherently time-sensitive. A site that hasn't been touched since 2022 gets quietly deprioritized. Publish quarterly. Date your pages visibly. Add "Last reviewed: [month, year]" stamps on key amenity and rate pages. These are visible in HTML and parseable by LLMs.
5. Authoritative citations from elsewhere
This is the part operators hate hearing about, because it isn't something you control directly. AI models weight your entity higher when other sites talk about you, including travel blogs, local tourism boards, regional news pieces, Wikipedia if you're notable enough, and directory listings like RVParks.us with consistent NAP data (name, address, phone). One mention in a respected regional travel blog moves the needle more than ten blog posts on your own site.
6. Let the AI crawlers in
Check your robots.txt right now. If it contains User-agent: GPTBot followed by Disallow: / (or the same for ClaudeBot or Google-Extended), you're blocking AI from reading your site at all. Many CMS platforms shipped with AI bots blocked by default after the 2023 backlash. The relevant user agents to allow for most public-facing businesses are GPTBot, ChatGPT-User, ClaudeBot, Google-Extended, and PerplexityBot.
7. llms.txt (mixed adoption, still worth doing for ChatGPT)
In September 2024, Jeremy Howard at fast.ai proposed llms.txt, a markdown file at your site root that gives LLMs a curated summary of your site's most important content. Adoption is split. At Search Central Deep Dive 2025, Gary Illyes confirmed Google doesn't use llms.txt and isn't planning to. OpenAI, on the other hand, reportedly crawls the file regularly. So: helpful for ChatGPT visibility, not for Google AI Overviews. For a campground, the file takes 15 minutes to write, costs nothing, and lists your park name, location, key amenities, your booking page, your FAQ, and your most authoritative content.
Field note from our 2026 audits: Of the independent park sites we screened last quarter, almost none had Schema.org markup, none had llms.txt, and a meaningful share had AI crawlers explicitly blocked in their robots.txt. The operators with those three things fixed are showing up in AI Overviews and ChatGPT recommendations. The ones without are invisible.
What NOT to do (the over-doing-it trap)
I've watched operators try to game AI search the same way they tried to game Google in 2014. Keyword stuffing. Hidden text. Buying low-quality "AI optimization" backlinks. Don't. The major models cross-check signals and de-cite manipulation patterns aggressively. The fastest path to losing AI visibility is being obviously synthetic. Also: don't try to "memorize" your park into the model by spamming Reddit threads. Training cycles are slow and the marginal gain is near zero. Focus on the live-index signals above.
Your weekend audit checklist
Run this against your site today.
| Check | What you're looking for |
|---|---|
| Schema markup present | View source, search for application/ld+json. If absent, you're invisible to AI extraction. |
| H1 contains park name | Every key page, not generic terms like "Home" or "Reservations." |
| FAQPage schema | A real FAQPage JSON-LD block with Question/Answer pairs. |
| robots.txt clean | No Disallow: / for GPTBot, ChatGPT-User, ClaudeBot, Google-Extended, PerplexityBot. |
| Last-updated dates | Visible in HTML on key amenity and rate pages. |
| llms.txt | Exists at yourpark.com/llms.txt. Helps ChatGPT, not Google. |
| Authority links | At least 3-5 quality directory or regional-blog mentions with consistent NAP. |
If you scored below 5 of 7, you're losing AI search traffic right now to the park down the road that did the homework.
Campground Management can help your campground rank better in AI and major search engines. We audit your schema, your robots.txt, your entity clarity, and your content depth, then we either fix it for you or hand you a clean punch list. Contact us for a free review →
The Bottom Line
Ranking in ChatGPT, Claude, and Gemini isn't a separate playbook from ranking in Google. Gary Illyes at Google said it directly in 2025: normal SEO is what works. Same fundamentals, more discipline: clear entity declaration, structured data, fresh and direct content, and a clean technical foundation. Parks investing in this work in 2026 are going to compound for a decade. The ones waiting for it to "settle out" are watching the gap widen weekly.
Frequently asked questions
Does ChatGPT actually read my website?
Yes, when web browsing is enabled (default for most paid plans), ChatGPT uses GPTBot and ChatGPT-User to fetch live pages and synthesize answers. The same is true for Claude (ClaudeBot) and Gemini (Google's standard crawl plus Google-Extended for AI-specific access).
Will blocking AI crawlers protect my content?
It will also prevent any AI assistant from recommending you. Unless you have a specific legal or proprietary reason to block, allowing the major AI crawlers is the right call for most public-facing campground sites in 2026.
Do I need to pay for AI SEO tools?
No. The fundamentals (schema, entity clarity, FAQ format, robots.txt audit, llms.txt) are all free to implement. Paid tools can speed the audit phase but aren't required to do this work well.
How long until I see AI search results change?
LLM indexes refresh at different cadences. Google AI Overviews can reflect site changes within days. ChatGPT's live-browsing tool is similarly fast. Long-term training-data inclusion (where your site becomes part of the model's baseline knowledge) takes 6 to 18 months.
Is llms.txt worth setting up?
Mixed answer. OpenAI reportedly crawls it for ChatGPT context. Google explicitly said in July 2025 they don't use it and aren't planning to. If you have 15 minutes, do it for ChatGPT visibility. Don't expect it to move Google AI Overviews.
25 years in digital marketing and advertising. 14 years in the RV industry. Stayed at over 400 parks. Builds park websites and booking software for a living. More on Sean's story · [email protected]
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