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Free AI Citations Won’t Last Long: How Google is Fencing Off the Open Field

7 min read
Dave «ROI Hunter» Perez
AI brand authorityAI search monetizationAI visibility auditchatgpt citationFree AI Citationsfrequency of mentionsGoogle fencingperplexity citationrobots.txt Blocking BotsSEO for AI
Free AI Citations Won’t Last Long: How Google is Fencing Off the Open Field

Free AI Citations Won’t Last Long: How Google Is Enclosing the Open Field

AI citations are still accessible through content and PR, but according to an SEO veteran, the window is closing fast. «The cheap part is closing,» Shane Tepper, co-founder of Resonate Labs, told me. «The period when you can win a position through work rather than budget.»

I asked him directly: everyone talks about a closing window, but the AI search surface is expanding — more queries are getting answers from ChatGPT and Perplexity, more answers contain clickable citations. So what exactly is closing? His answer sent me back in time, to how the open field was enclosed before.

From 2003 to 2025, I was president of SEO-PR. Our early reputation was built on the «SEO PR» tactic: an optimized press release via a wire service delivered three benefits at once — direct ranking gains from keyword anchor text, referral traffic, and links from journalists. AI search works on the same model, only faster. Tepper argues that enclosure has already begun. Brands that secure their position before it’s complete will remain on the field.

The Window Is Not a Date, but a Race with Competitors

Tepper pointed to a Fuel Online audit: 1,000 corporate domains, 62% technically invisible to AI models. If you ask these brands a simple question about their category, models fail to mention them in 81% of cases. That’s the size of the open field — most haven’t arrived yet.

What’s closing the window is speed, not scarcity. Profound data: median time to first citation of new content is 6.81 days. Publish, get indexed, get cited — all within a week. The only thing preventing a brand from getting cited is speed. «The window will close when competitors wake up,» Tepper says. In crowded B2B categories, the timer is already ticking.

The May 7 Spike Holds and Is Clearly Divided by Category

I noted the 157.7% spike in ChatGPT referral traffic on May 7 and asked if it was a surge. No. Similarweb called it a new baseline, and Profound tracked a structural jump (doubling) across all brand baskets. Three different measurement methods point to changes in OpenAI’s product that day, though the company didn’t announce them.

Breakdown by category:

  • B2B software and SaaS — growth of over 200% from the May 7 baseline
  • Financial services and fintech — +60%
  • E-commerce and retail remained almost unchanged — product recommendations go through ChatGPT’s shopping surface, not through a stream of branded links

Categories where ChatGPT recommends the company won; where it recommends the product, they didn’t.

OpenAI and Perplexity Are Making Opposite Bets — and Both Are Rational

A more important signal: in the same week OpenAI opened self-serve advertising, it began showing clickable branded links (May 7). Embedding brand URLs and tracking clicks is the data needed to train an advertising system.

Platforms have not yet agreed on a unified monetization model for AI answers, but the one with more users is already building infrastructure that relies on organic click behavior from citations. Ignoring this is risky.

“AI Authority” Is Not Links, but Frequency of Mentions

I asked Tepper to specify “AI authority.” His answer: it is the frequency with which the model finds you, trusts you, and reads you as a relevant source to mention in response to buyer questions. This is not a training data phenomenon because vendor research engines extract information in real time.

Muck Rack’s analysis (25 million AI-cited links) showed: the strongest predictor is not backlinks, but media mentions (84% of citations vs. 0.3% from paid placements). Measurement should not be “did we appear once.” Tepper noted: the probability of getting the same AI recommendation twice for one query is less than 1%. One result is noise.

Solution: regularly run a stable set of real buyer queries in ChatGPT, Perplexity, and Google AI, and track share of voice by brand mentions in the response text.

Will This Break Down Like Google Organic Visibility? Probably Partially

SEO professionals have earned their scars: they built organic visibility for years, then ads and AI Overviews chipped away at it. I asked why AI citations should be any different. “They will probably partially break down,” Tepper replied. “Ads already appear in about a quarter of AI Overviews results; a year ago it was about 5%.”

What to Do Right Now

Tepper’s advice requires no budget.

First: Conduct an Audit Yourself

Write 15-20 questions a real buyer would enter into a chatbot (comparisons, “best X for Y,” “how to choose”), and ask them in ChatGPT, Perplexity, and Google AI Mode. Note where you appear, where a competitor appears, and where the field is empty. This will take a day and show your real starting position.

Second: Chase Mentions, Not Links

Since most changes in AI answers come from mentions, not backlinks, the most effective move is to get into third-party comparison articles, reviews, and category digests from which models extract information.

Third: Check Your robots.txt Today

Many brands are technically invisible because they accidentally block GPTBot, ClaudeBot, or PerplexityBot. Fixing it takes 10 minutes and is free.

One Number to Treat with Caution

eMarketer forecast: US AI search ad spending will grow from ~$1 billion in 2025 to $2.08 billion this year and to $25.9 billion by 2029 (13.6% of all search ad spending). This is a real number from an authoritative source, but it is a forecast based on assumptions about platform adoption and shoppable ad formats.

eMarketer analysts note: if AI answers continue to suppress clicks, ads may not deliver expected traffic, and Google may slow monetization until the economics become clear. Truist forecasts OpenAI’s ad revenue at $30 billion by 2030. Treat $26 billion as a plausible midpoint, not an established fact.

Frequently Asked Questions

What is AI citation?

It is a mention of a brand or a link to it in the response of an AI model (e.g., ChatGPT, Perplexity) to a user query.

Why is the AI citation window closing?

Because platforms are starting to monetize traffic by introducing ads and limiting organic mentions. Competitors are also becoming more active.

How to measure brand AI visibility?

Regularly ask 15-20 real customer queries in ChatGPT, Perplexity, and Google AI Mode. Track the share of voice — the percentage of responses where your brand is mentioned.

What is cheaper: a banner or AI citation?

AI citation through content and PR can be cheaper if you are willing to invest time in creating quality content and obtaining media mentions. But as the window closes, the cost will increase.

Conclusion

I have seen an open field fenced off before. Google did not warn on July 30, 2013 — it simply updated the recommendations page, and optimized anchor text in press releases stopped working. Those who won afterward did not complain; they built what the fence could not take away: referral relationships, connections with journalists, results for clients.

Tepper’s data suggests that most brands still have time to build something solid before this window closes. But the window has a size, not a shape, and it shrinks every week while a competitor figures things out faster than you.

Start today: check your robots.txt, write 15 queries, run an audit. Time is your only resource that cannot be bought.


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