Post actualizado el día octubre 26, 2026 by DeiviSanzPlay
Forget about expensive market studies and surveys that nobody answers. There is a free tool that most marketers ignore and that can tell you what your customers will buy before your competition even smells it. It’s called Google Scholar, and no, it’s not just for PhD students.
Google Scholar is not a search engine, it’s a map of what’s coming
Most people use Google Scholar to find a paper, copy a quote, and leave. Big mistake. Scholar is a citation network. Every article shows who cites it and who it cites. That network is a real-time map of what researchers are thinking, and researchers think about the same things your customers worry about months before it hits the mainstream.
If you sell B2B software, for example, search for «algorithmic distrust» or «AI decision fatigue.» You’ll see papers from 2022 and 2023 talking about what your clients are only now starting to complain about. That’s your future sales pitch, written by someone with a PhD.
The key metric in Scholar is not the number of results. It’s the number of citations. A paper with 300 citations is a seminal paper. A paper with zero citations published last month is a signal of where the debate is heading. Both matter, but for different reasons.
How to use the «Cited by» button to spy on your competition’s future
Find a seminal paper about your niche. For example, if you sell HR software, search for «employee burnout remote work.» Sort by relevance, pick the one with the most citations, and click «Cited by.» Then sort those results by date.
What you get is a timeline of how the conversation has evolved. You see when the topic exploded, when it got nuanced, and when someone contradicted the previous consensus. That contradiction is gold. It means the market is about to change its mind, and you can be the first brand to say it out loud.
I’ve used this to predict shifts in the e-commerce returns debate, the subscription economy backlash, and the current obsession with «AI slop.» Every time, the academic papers came first. The LinkedIn gurus came six months later.
Alerts: stop searching, let the future come to you
You don’t need to check Scholar every day. Set up an alert with the exact combination of terms from your niche. For example, «personalized pricing ethics» or «dark patterns conversion.» When a new paper drops, you get an email.
That’s the real shortcut. You stop chasing information and the information finds you. I have alerts for «subscription fatigue,» «algorithmic management,» and «post-purchase dissonance.» They’ve given me content angles that no competitor had for months.
The trap is wanting to turn a 30-page paper into a tweet. You don’t need the ANOVA tables. You need the core idea. «Non-linear progression elements generate 40% more engagement than predictable rewards» becomes «stop giving predictable rewards, they bore your users.» Translate the jargon. That’s it.
From theory to brief: how to turn a paper into content that sells
Look for the productive contradiction. If a new study refutes a common practice in your industry, you’ve struck gold. «Daily newsletters increase voluntary unsubscribes» is a headline. «Personalized discounts reduce customer lifetime value» is a headline. Write it, back it with the paper, and watch the engagement.
Also, identify the authors who appear repeatedly. They are not just academics. They are potential collaborators, webinar guests, or the credibility stamp you need. A whitepaper signed by a researcher who has published on your topic is worth more than 100 generic blog posts.
And don’t ignore non-English content. Scholar has papers in Spanish, Portuguese, German, and more. If your market is local, a local study can be more relevant than an American one. Check the language filter.
What this won’t do (and why that’s fine)
This won’t give you leads tomorrow. It won’t give you a viral tweet today. It will give you something better: first-rate arguments, backed by science, months before they become popular. In a world of opinions, that’s the closest thing to an unfair advantage.
So stop guessing. Open Google Scholar, search for the pain your customer hasn’t articulated yet, and read what the researchers are saying. Your competition is still reading Twitter threads. You’ll be reading the future.
