And when AI responds, it will cite the publications that covered you — or your competitor.
Try something. Open ChatGPT and ask: “What are the best companies in [your industry]?”
If your company showed up, you’re ahead of most. If it didn’t, you just experienced what your future customers, investors, and partners are running into every day. More and more people are turning to ChatGPT instead of Google for their search queries.
The Shift Is Taking Place Now
This month ChatGPT hit 900 million weekly active users, twice the number from a year earlier. Perplexity grew 370% year over year. Google’s AI Overviews are now on roughly 20% of U.S. desktop searches, and 83% of those searches end without a single click to any website.
People read the AI-generated answer, get what they need, and move on. No more scrolling, clicking through to page two or visiting your website.
So the question isn’t only “How do we rank on Google?” anymore. It’s also: “When someone asks AI about our industry, are we mentioned?”
Where AI Gets Its Answers
When ChatGPT or Perplexity recommends a company, they are pulling from published articles, industry reports, and expert analysis. The sources skew heavily toward authoritative voices, earned media and even forums such as Reddit.
A December 2025 study by Muck Rack found that 94% of all AI citations come from non-paid sources, with earned media alone driving 82% of citations. Instead of pulling from ads, company blogs and LinkedIn posts, LLMs pull data from published articles in outlets with editorial credibility.
While a 2026 citation benchmark study found that Forbes appeared across all 11 major B2B and B2C sectors in AI search results, sources aren’t limited to tier one media. Niche and trade publications carry enormous weight too. When someone asks AI a specific question like “What’s the best thermal energy storage technology?” or “Which companies are solving solar panel recycling?” the AI reaches for the trade outlets that cover those verticals in depth — ESG Today, pv magazine, Waste Dive, Fintech Futures. These are the publications where domain expertise lives, and AI models know it.
Every published article about your company, whether it’s Bloomberg or an industry trade journal, becomes a source that AI can cite when someone asks about your space. One placement can be evergreen.
The Power of a Layered Media Strategy
This is what makes a layered media strategy so valuable right now. Tier-1 outlets give you broad credibility, while vertical publications give you depth in your specific category. Together, they create a web of citations that AI pulls from whenever someone asks about your industry.
A company covered by both TechCrunch and three relevant trade publications will outperform a company with only one or the other.
Research from Averi shows that a single placement in a high-authority outlet can generate AI citations within 60 days, but maintaining that authority takes consistent coverage across multiple publications.
The Window Won’t Stay Open
Right now, a lot of categories are still up for grabs in AI search. The models are hungry for sources, and the companies that build media presence today are establishing the citations that AI will reference for years.
But that window is narrowing. Every quarter that passes, competitors with active PR programs are stacking coverage, building citation authority, and teaching AI to recommend them. Playing catch-up later is doable, but slower and more expensive, because you’ll be working against a competitor who already owns the narrative in the AI’s training data.
How buyers discover companies has changed more in the past two years than in the previous twenty. The companies that act on that now will be the ones showing up in AI answers.