Earlier this year, INTIX warned that live-event organizations risk becoming invisible when their content is not structured in a way AI systems can find, read, and surface. That raises a practical question: what actually makes information easier for AI to understand?

Pew Research reported in June 2026 that 49% of U.S. adults use AI chatbots, up from 33% in 2024. More relevant for anyone selling tickets, 42% say they use chatbots to search for information. Traditional search still matters, but a growing share of discovery now happens in environments where an AI system may assemble an answer before the user reaches a venue or presenter website.

Showing up in search still matters. Now you also have to ask: can AI quickly figure out who you are, what you offer, and whether it can trust the information it finds?

Why Ticketing Websites Can Be Difficult for AI to Understand

Most venue and ticketing websites were designed for people, and performing arts organizations tend to be highly visual. We love season artwork, show graphics, seating charts, brochures, cast announcements, and sponsor artwork. They matter.

But we see this all the time: dates, prices, parking details, or policies may live inside a graphic or PDF that looks great to a patron and gives a search or answer system very little usable text. A machine approaches that experience differently. It does better when the important facts are stated clearly in crawlable text. Strong design can stay. The information inside it just needs to exist somewhere a person can search and a machine can read.

Google's guidance for AI-powered search helps here. You do not need a special AI version of your website or some new secret markup. The basics still matter: put important information in text, make pages easy to find, let search systems access them, and make sure your structured data matches what patrons actually see. For most performing arts organizations, that means making the important stuff obvious, no full rebuild required.

Tell Machines, and People, Exactly Who You Are

One of the simplest improvements is to say plainly what the organization is. A community theatre may have a beautiful homepage that says, "Stories that bring our community together." Keep the tagline. Just don't make a chatbot solve a riddle to figure out what you are. Somewhere nearby, also say that you are a community theatre, where you are located, and what you present.

That gives a search or answer system something concrete to work with without asking it to infer the basics from a logo, tagline, and navigation menu.

Independent venues, regional theatres, dance presenters, university programs, and school performing arts departments will describe themselves differently, but each should make the basic facts easy to find.

Write Policies Around the Questions Patrons Actually Ask

Patrons rarely search for a venue's "customer service philosophy." They ask whether tickets can be refunded or exchanged, where to park, whether the building is accessible, what happens if they arrive late, and whether a child needs a ticket.

At Ludus, we use a simple rule with our own customer documentation: if our support team hears the same question more than once, that is a sign we need to make the answer easier to find. Performing arts organizations can use the same rule. If your box office answers the same parking question every Friday night, that's your next FAQ.

Then answer it plainly. "Refunds are available up to 48 hours before the performance" gives a patron and a machine something specific to work with. A well-written FAQ page does the same thing by putting common questions and current answers together in crawlable text. Keep those answers current, too. An AI-generated answer built from an old ticket price, outdated parking instructions, or last season's exchange policy can create a customer-service problem before the patron ever contacts the box office.

Use Structured Data Where it Helps

Structured data is a way of labeling key facts so search systems do not have to guess. For an event, that can include the date, location, and performer. For an organization, it can help confirm who you are.

It is useful, but it is not a magic AI switch. Google says there is no special schema required for its AI search features. The best

use of structured data is simple: make sure it matches the information people can already see on the page.

Make Sure AI Systems Can Reach the Page

None of this works if important pages cannot be accessed or indexed. Google recommends the same crawlability fundamentals for its AI features that apply to traditional search. OpenAI (OAI) similarly says any public website can appear in ChatGPT search and advises publishers who want content discovered, summarized, and cited to make sure OAI-SearchBot is not blocked.

For ticketing organizations, this is worth a basic technical review. Important event and policy pages should be indexable and reachable through normal internal links. Essential facts should exist in text rather than only inside graphics or PDFs. Structured data should agree with what patrons see, and someone on the team or at the organization's web or ticketing provider should know whether major crawlers are being blocked unintentionally.

Authority Still Matters

Clear information on an organization's own website is only part of the picture. AI systems often assemble answers from multiple sources, which makes consistent information across credible outside sites increasingly valuable.

Industry associations, tourism organizations, local news, presenting partners, artist sites, universities, and trade publications can all add context. An article in an established publication such as INTIX ACCESS also creates a crawlable connection between a company and the expertise discussed in that article.

I would not chase mentions just to feed an AI system. The better approach is the same one that has always mattered: make sure credible sources describe your organization accurately. If your website says you are a regional theatre, a local arts organization says the same thing, and industry coverage reinforces it, a machine has a much firmer basis for understanding what you are.

Why Ludus Is Paying Attention

At Ludus, we work with more than 5,500 performing arts organizations across all 50 states, including independent venues, regional theatres, dance and music organizations, colleges and universities, and K-12 performing arts programs. Ludus has also been recognized on the Inc. 5000 list of fastest-growing private companies for four consecutive years.

That range means we get to see how differently the same problem shows up depending on the organization. A year-round independent venue may be answering questions about parking and late seating every night, while a university presenter may have several venues, ticket policies, and accessibility pages spread across different parts of an institution's website. A regional theatre may add subscriptions, exchanges, and donor information. Dance and music organizations have their own recurring programming questions.

The details change. The need for clear, findable information does not. Patrons can only act on information they can find and understand, and the same is increasingly true of the systems helping them search.

What Ticketing Organizations Can Do Now

You do not need an AI strategy document to start. Begin with the questions your box office already answers.

Read the homepage and About page as if you have never heard of the organization. Could you accurately describe what it is and where it operates after one paragraph? Then review event pages and confirm that dates, times, venue information, prices, accessibility details, and important policies appear as text rather than relying only on graphics.

Next, look at the questions patrons ask repeatedly. If parking, exchanges, late seating, age restrictions, or accessibility come up every week, put clear answers online and keep them current. Use appropriate structured data to support those visible facts, and confirm that important pages can be crawled and indexed.

Finally, look beyond your own site. Search for how credible partners, local organizations, and industry sources describe you. In an AI-driven discovery environment, those external descriptions increasingly become part of the evidence a system uses to decide who you are.

None of this replaces traditional SEO. Google explicitly says the same people-first search fundamentals continue to apply to AI Overviews and AI Mode. What has changed is what may happen after discovery. A traditional search result presents options and lets the patron choose where to click. An AI answer may synthesize information from several sources before the patron makes that choice. So the practical starting point is pretty simple: make the answers easier to find, and make sure a machine can read the same information a person can.

Frequently Asked Questions (FAQ)

What is generative engine optimization, or GEO?

Generative engine optimization is a term increasingly used for making content easier for AI-powered search and answer

systems to discover, understand, and cite accurately. Much of it overlaps with strong SEO: crawlable pages, useful written content, reliable information, structured data where appropriate, and facts that stay current.

How is GEO different from SEO?

Traditional SEO focuses on helping pages appear prominently in search results a user can choose to visit. GEO focuses on making information clear enough that an AI system can accurately use or cite it when assembling an answer. In practice, the two approaches overlap substantially.

How can a ticketing organization become easier for AI tools to understand?

Clearly identify the organization, put important event and policy information in crawlable text, answer common patron questions directly, use appropriate structured data, keep information current, make sure important pages can be indexed, and build credibility through accurate mentions on trusted outside sites.

Quick Facts

• 49% of U.S. adults use AI chatbots, compared with 33% in 2024.
• 42% of U.S. adults use chatbots to search for information.
• Google says traditional SEO fundamentals still apply to AI Overviews and AI Mode and that no special AI schema is required.
• OpenAI says public websites can appear in ChatGPT search and recommends allowing OAI-SearchBot when publishers want content discovered, summarized, and cited.
• Ludus serves 5,500+ organizations across all 50 states, supported by a team of 80+ and recognized on the Inc. 5000 for four consecutive years.

Kevin Schneider is Co-Founder and Chief Marketing Officer at Ludus, a ticketing and box office platform serving more than 5,500 performing arts organizations across all 50 states.

This article was sponsored by Ludus