The AI Visibility Advice Everyone's Giving Is Built on Rented Land

TL;DR: Reddit is weighing whether to cut off Google's access to its content for AI, and major news publishers are asking themselves the same question. Any brand that built its AI visibility plan around third-party conversation is exposed to decisions it doesn't get to make. Yext research across 17.2 million AI citations shows that for multi-location brands, the sources you own and manage carry the citation load.

For the past year, a lot of AI visibility advice has pointed to the same place: get into the conversation. Show up in Reddit threads, get mentioned in the roundups and listicals, win the forum.

Then in July, Reddit reportedly started discussing whether to cut Google off entirely. So much for that plan!

The channels you were told to chase are up for renegotiation

Reddit's content licensing deal with Google, signed in 2024 and reported at around $60 million a year, is up for renewal. The Wall Street Journal reported that Reddit has discussed ending Google's access to its content for AI training. Reddit's stock dropped 9% on the news. Reddit's position is that these deals should be priced by usage instead of a flat fee, because AI Overviews send fewer people back to the platform.

News publishers are running the same math. USA Today, Reuters, Politico, The Economist and People are all reportedly weighing whether to keep working with Google. The referral numbers explain why. Between June 2025 and June 2026, Politico's referral traffic fell 23%, CNN's fell roughly 25%, and Business Insider's fell more than 85%.

My guess is these platforms cut a deal with Google in the short term and stay a powerful source of information. Or maybe, they form a coup and cut both Google and the AI platforms off. But that's not really the point. Here's the part worth sitting with: none of these are decisions a brand gets to make. If your visibility in AI answers depends on content that lives on someone else's platform, your visibility changes when that platform renegotiates.

The tactic is under pressure from the other direction too. eMarketer reported this month that the rush to get cited is straining Reddit itself, and could even make it less valuable of a source. One SaaS subreddit banned promotional posts in June after marketing campaigns overwhelmed it. When Brilliant Earth posted a job listing for a Reddit strategy manager, moderators at r/jewelry warned members to watch for marketing in disguise. There are now agencies charging brands from $2,500 a month to generate 35 to 100 mentions. Lisa Haiss from eMarketer rightly points out “Marketers who treat the platform as another SEO channel risk bans, comment removal, and reputational damage instead of the citations they’re chasing.”

For multi-location brands, the citation data points somewhere else

Reddit does get cited heavily in AI answers, and that's a fair reason marketers went looking there. But most of the reporting on that measures general queries at the brand level. Multi-location brands live somewhere more specific: someone looking for a branch, a clinic, a store, a restaurant, or a provider near them.

So we looked at that layer. We analyzed 17.2 million distinct AI citations from Q4 2025 across Gemini, Claude, Perplexity and SearchGPT, at the location level rather than the brand level. Then we sorted every cited source by how much control a brand actually has over it, from full control (your website and your pages) through to no control (news articles, forums, Reddit).

Here’s the good news. The sources you own and manage do the heavy lifting. Listings made up the largest share of distinct cited URLs at 54.53%. Websites were cited far more often per URL, averaging 4.31 citations to a listing's 2.46. Pages and listings are the backbone of local AI answers, not a footnote to it.

Owned content, local pages: The AI visibility you don't have to negotiate for

I'm not advising you to give up your Reddit and news marketing strategies, but rather to put less weight on them and put more focus into the local content that actually earns citations. A local page you publish is content you create, structure, and update on your own terms. There's no contract to expire, no policy that can shift underneath you, no restrictions on word count or fields. When you change your hours, add a service, or open in a new market, that update goes live and stays readable to every model that comes looking.

Here's why local matters so much in this equation. AI carries context forward the way a good conversation does. Tell a model you're in Austin, and it remembers that about you. That's exactly why our research measured citations at the location level instead of the brand level.

This is where local pages get to do something listings can't. Listings are essential. They're how a model confirms you exist, where you are, and when you're open. But they're built for structured facts, not for making a case. Pages are yours to fill however you want: describe what makes a location great, run a promotion, answer the exact question customers in that market keep typing.

One reminder worth flagging: publishing a page isn't the same as making it citable. A page still needs to be readable by AI crawlers, structured with the schema models look for, and written toward how people actually search, or it will sit there uncited no matter how good the copy is. Check out our guide to optimizing for AI citations.

This is exactly what Yext Pages is built for. It turns your Knowledge Graph data into pages for every location, professional, service, and specialty, structured with the schema AI models look for from the start.