People-first pages, in the language Google uses to judge them
Helpful content is written for a real audience, with enough substance that a reader does not need to search again.
Based on Google's Creating helpful, reliable, people-first content

Google’s ranking systems are built to prefer helpful, reliable information made for people, not pages made to manipulate rankings. This is the document that explains how to tell the difference. It is also the clearest statement of the standard Paraline uses when we write or revise a page: if the page would not be worth opening for someone who already knows your business, it is not worth publishing for search.
Questions worth asking before a page goes live
Google suggests you judge a page the way an outsider would. Does it offer something original — reporting, experience, or a complete explanation — or is it a rewrite of what already ranks? Does the heading describe the page without exaggeration? Would you bookmark it or hand it to a customer? Is it careful, or does it look rushed and mass-produced? Trust also shows up in ordinary details: who stands behind the page, whether claims can be checked, and whether an expert or someone with real experience reviewed it.
People-first content has an audience even if search did not exist. It shows firsthand knowledge. The site has a focus. After reading, a person should feel they learned enough to take the next step. Search-engine-first content looks different: lots of topics chosen only because they might rank, heavy automation with little oversight, summaries of other sites, trend-chasing, fake freshness from changed dates, or a promise to answer a question that has no answer. Google also says there is no preferred word count. Writing to a number you heard online is a warning sign, not a best practice.
SEO still belongs, when it serves the reader
Google does not treat all SEO as manipulation. Helping search engines discover and understand a page is fine when the page was made for people. The problem is content whose main reason for existing is to collect visits. Using automation, including generative AI, primarily to manipulate rankings is called out as a spam-policy issue.
Experience, expertise, authority, and trust
After Google finds relevant pages, it tries to favor the ones that seem most helpful. One way it talks about that mix is E-E-A-T: experience, expertise, authoritativeness, and trustworthiness. Trust is the piece Google calls most important. A page does not have to demonstrate every letter. A homeowner describing how they solved a problem can be useful because of experience. A licensed tradesperson can be useful because of expertise.
E-E-A-T is not itself a ranking factor you optimize like a setting. It is a way of describing the qualities Google’s systems try to recognize. Topics that affect health, money, or safety — often called “your money or your life” — get closer scrutiny. Search quality raters are people who review whether results look good. They do not directly set rankings. Their guidelines are still a useful mirror: main content should have real effort, originality, the skill the topic needs, and accuracy.
Who, how, and why
Google suggests three questions. Who created this, and is that obvious without a made-up author? How was it produced, including when automation helped? Why does it exist? The acceptable why is to help a person. If the why is “to rank,” the page is pointed the wrong direction.
When Paraline adds or rewrites a page, these questions are the brief. We start from the searches and the pages your data already shows, then make the page something a customer could use if they landed on it directly.
This article is Paraline's explanation for business owners. It is not a copy of Google's documentation. For the source, read Creating helpful, reliable, people-first content on Google's site.