Okay so I was doing some research last week and asked Perplexity something like: what are the most trusted DeFi protocols right now. Just to see what came up.

Three projects got named. Three. Out of hundreds that exist.

I knew two of them. The third I'd never heard of, so I went and looked them up. They had something in common. Editorial coverage. Real journalism. Not press releases republished on 40 aggregator sites. Actual reporters at actual publications writing actual stories about them.

That's when it clicked for me. The whole AI search thing isn't some future trend to prepare for. It's already here and it's already making decisions about which crypto projects get seen by investors, developers, and users. If you're not in those answers, you're missing people you don't even know you're missing.

Here's what I've figured out about how this actually works and what you can do about it.

First, What Does Getting Recommended by AI Actually Mean?

No, you can't pay for it. There's no ad slot. ChatGPT doesn't have a sponsored position you can buy into. What these systems do is pull from sources they've learned to trust and give you what they believe is the best answer based on that.

For ChatGPT and Claude, that's mostly training data. A massive snapshot of the internet weighted heavily toward reputable editorial publications. Forbes. CoinDesk. TechCrunch. The Block. Bloomberg. Things that real journalists write at real publications with real editorial standards.

Perplexity works differently because it actually retrieves current sources in real time. Recent coverage can influence what it says about your project today, not just whenever the next training run happens. That's important and useful. It means Perplexity is one of the faster feedback loops available if you're trying to build AI visibility right now.

Google AI Overviews, which now appear at the top of a lot of searches, work off Google's traditional trust signals. Domain authority, editorial quality, E-E-A-T. Nothing surprising.

All three systems are basically asking the same question: what do credible sources say about this project? If the answer is not much, or only wire-syndicated press releases, that's a problem.

Quick reality check: Wire distribution and AI search visibility are two completely different problems. Solving one does not solve the other. Most crypto projects are only working on one of them.

Why Wire Distribution Alone Stopped Being Enough

Wire distribution works. I want to say that upfront. The SEO backlinks are real. The aggregator presence matters. Keep doing it.

But here's the part nobody really explains: when you distribute a press release and it lands on 50 sites, those 50 sites look like what they are to AI systems. Auto-published aggregator content. Thin. Repetitive. Not the kind of thing a model is going to cite when someone asks which blockchain projects are actually worth paying attention to.

The projects that show up in AI answers are the ones where a journalist at Forbes or TechCrunch decided independently that their story was interesting enough to write about. One of those beats fifty aggregator placements every single time, at least when it comes to AI search visibility.

This is frustrating if you've been spending money on distribution and wondering why it's not translating into AI visibility. The money wasn't wasted. It just doesn't help with this particular problem.

What Actually Works

Here's the practical part.

• Editorial coverage in publications AI systems trust. This is the biggest lever by far. The publications that matter are Forbes, CoinDesk, TechCrunch, The Block, Bloomberg, Wired, Decrypt, Business Insider. Getting a real journalist at one of these places to write an actual story about your project independently is the highest-value thing you can do for AI search visibility. Not sponsored content. Not contributed articles you wrote yourself. Editorial coverage.

Genius PR's public relations work is specifically built around this. Real pitching to real journalists through a decade of actual relationships at these outlets. Not distribution. The difference shows up directly in whether your project appears in ChatGPT answers.

• Content that directly answers questions people ask. If someone asks Perplexity how to get started with DeFi safely and you have a genuinely useful piece that answers that question clearly, you have a real shot at getting cited. The key word is genuinely useful. Not promotional. Not stuffed with keywords. Something that actually helps a person who doesn't already know your project. AI systems are better at spotting the difference than most people realize.
• Consistent mentions across credible sources over time. One great article in Forbes helps. Twelve editorial placements across credible publications over a year is what makes you look like an established, legitimate project to an AI system. A project covered editorially twelve times over twelve months looks fundamentally different from a project with one good piece and nothing else. This is the compounding argument for ongoing PR over one-off campaigns.

Genius PR's SEO and GEO Optimisation service is built specifically around this kind of consistency. Every placement treated as a building block in a broader authority signal that AI systems read and accumulate over time.

• Reddit and community discussions. Reddit has licensing deals with OpenAI and Google. When people in r/DeFi or r/ethdev are genuinely discussing your project, that's feeding directly into training data. You can't fake this well, but you can encourage it by being present in communities that matter to your project.

The Distribution Flywheel model Genius PR uses seeds every editorial placement into relevant community channels within 48 hours. That generates the secondary discussion that compounds visibility way beyond the initial placement. The placement is the start, not the end.

Do This Before You Read Anything Else

Open ChatGPT. Open Perplexity. Open Google.

Type your project name into each one. What do they say? Is it accurate? Is there anything substantive at all?

Now type your category. Best DeFi protocols for beginners. Top layer-2 blockchains. Whatever fits your project. Do you show up? Who does show up?

Now type the problem you solve. How do I earn yield on crypto safely. What's the fastest blockchain for gaming. Does your project come up as an answer?

If you're not showing up in the category and problem queries, you have a gap. If what these tools say about you is wrong or outdated, that's genuinely urgent. Users are getting bad information about you and the only way to fix it is building better source material over time. There's no appeal mechanism.

Worth doing monthly: These results change as coverage accumulates. Running this test every 30 days gives you a real picture of whether your AI visibility is actually improving.

The Gap That's Opening Up Right Now

Projects investing in real earned media and building consistent editorial coverage are compounding an advantage. The AI systems citing them today will keep citing them. The community discussions happening around them now are feeding into training data that shapes AI responses for years. It snowballs.

Projects still running distribution-only strategies are being outcompeted in a channel they probably don't even realize is important yet. By the time they figure it out, there's six to twelve months of ground to make up.

One number that stuck with me: research from Bain found that 80% of consumers now rely on AI-generated summaries for at least half of their searches. In crypto, where users tend to be early tech adopters, that number is probably higher. The audience has already moved. The tools have changed. Projects paying attention now are the ones that won't be scrambling next year.

Genius PR's case studies are worth ten minutes if you want to see what building real AI search visibility looks like with actual numbers. And if you want a direct conversation about where your specific project stands right now, geniuspr.com/contact is the fastest way to get an honest answer.

This reflects market observations from 2026. AI platform behaviours evolve quickly and specifics may shift as these systems continue to develop.

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