Google's helpful content questions as a pre-publish checklist

The helpful content update was a Google ranking system, announced in 2022, that favoured original content written for people over pages made mainly to attract search traffic. In March 2024 Google made it part of its core ranking systems, so there is no separate update to wait for or recover from; what remains is Google's list of self-assessment questions, which this guide turns into yes/no checks an editor can run on every draft.

Each check below quotes Google's question, says what a "yes" looks like in a draft, and says what to change when the answer is no.

What happened to the helpful content update?

Google's ranking systems guide now lists the helpful content system under retired systems. It says the system was "announced in 2022 as the 'Helpful Content Update'" and that "in March 2024, it evolved and became part of our core ranking systems." Since then, the same goal is pursued by many signals inside Google's core ranking, not one classifier.

Google's post announcing the March 2024 core update put it this way: "there's no longer one signal or system used to do this." The same post said there is "nothing new or special that creators need to do" if they have been making "satisfying content meant for people," and pointed anyone ranking worse to the helpful content page. That is why the questions on that page are the practical checklist.

For searches about a "helpful content update 2026": there is no standalone update. Changes arrive through core updates, and Google posts their status on its Search Status Dashboard.

How do you turn Google's questions into a checklist?

Take each question on Google's "Creating helpful, reliable, people-first content" page and phrase it as a yes/no check about the draft in front of you. Every "no" gets a specific fix before publishing. Every warning-sign question works the other way: a "yes" means stop and rethink the piece.

Google suggests two more habits. Ask "others you trust but who are unaffiliated with your site" for an honest assessment, because authors read their own drafts generously. And if your traffic fell, audit the pages that dropped most against these questions first: "What pages were most impacted and for what types of searches?"

Run the checks in this order: content and quality first, then expertise, then people-first, then the warning signs, then Who, How and Why. The early checks catch problems that make the later ones irrelevant.

What are the content and quality checks?

These checks ask whether the draft adds something the reader could not get elsewhere, answers the question fully and is titled accurately. Google's first question sets the bar: "Does the content provide original information, reporting, research, or analysis?" A draft that only restates other pages fails here regardless of polish.

Google's newer guidance for generative AI search makes the same point in other words: it asks for "non-commodity content," and contrasts a generic list like "7 Tips for First-Time Homebuyers" with a first-hand account. If a draft could have been written by anyone, it fails the first row.

What are the expertise checks?

Expertise checks ask whether a reader has reason to trust the page: clear sourcing, a visible author with relevant background, and facts that survive checking. Google's question is whether content presents information "in a way that makes you want to trust it, such as clear sourcing, evidence of the expertise involved, background about the author."

The factual-error check is the one worth doing line by line. Mark every sentence that contains a number, a name, a price, a limit or a date, and verify each against its source. The E-E-A-T guide for SaaS blogs covers bylines and sourcing in detail.

What are the people-first checks?

People-first checks ask whether the piece serves readers who would come to you directly, not only searchers. Google frames it as a yes: "Answering yes to the questions below means you're probably on the right track with a people-first approach."

1. Would your existing or intended audience find this useful "if they came directly to you"? Yes means the topic belongs on your site whether or not it ranks.
2. Does the content "clearly demonstrate first-hand expertise and a depth of knowledge," such as from "having actually used a product or service"? Yes means the draft shows use, not description.
3. Does your site "have a primary purpose or focus," and does this piece fit it? Yes means a reader would expect this page on your site.
4. After reading, "will someone leave feeling they've learned enough about a topic to help achieve their goal?" Yes means no follow-up search is needed.
5. Will someone reading it "leave feeling like they've had a satisfying experience?" Yes means the page is clear, fast and easy to follow.

Which answers are warning signs?

Google lists questions where "answering yes to some or all" is "a warning sign that you should reevaluate how you're creating content." Run them as a veto: one clear yes means the draft, or the plan behind it, needs to change before anything is published.

The automation row deserves care. Google's March 2024 post says scaled content abuse applies "no matter whether content is produced through automation, human efforts, or some combination." The issue is purpose and value, not the tool. The guide to whether Google penalizes AI content and the scaled content abuse policy explainer cover that line.

How do you apply Who, How and Why to each piece?

Google suggests evaluating every piece by who created it, how it was created and why. Who: a byline where readers expect one, leading to more about the author. How: enough about the process that readers understand it, including any use of automation. Why: the piece exists mainly to help people, not to attract search visits.

For each draft, answer three lines in your editorial notes:

1. Who wrote or reviewed this, and does the page say so? Google "strongly encourage[s] adding accurate authorship information, such as bylines."
2. How was it made? If automation or AI substantially generated it, Google asks whether that is "self-evident to visitors through disclosures or in other ways." Add a short note on process where a reader might wonder.
3. Why does it exist? Google calls this "perhaps the most important question." If the honest answer is "to rank," rethink the piece. Google says using automation "for the primary purpose of manipulating search rankings" violates its spam policies.

How do you run the checklist on each draft?

Make the checklist a fixed step between editing and publishing, done by someone other than the writer where possible, so failures are fixed before a reader sees them.

1. Read the draft once for sense, as a reader would.
2. Run the content and quality table; fix every "no".
3. Run the expertise table, verifying each factual claim against its source.
4. Run the five people-first questions.
5. Run the warning-sign table as a veto.
6. Write the Who, How and Why lines and make sure the page reflects them.
7. Record the date checked and who checked it.

Get drafts that start from your product, then run the checklist

A draft that starts from your own product and your own search data has a head start on the originality and people-first checks. LaunchScaler's content engine writes each article "from your product: what it does, who it is for, how it works," with "no invented facts, no borrowed examples," planned from your own Search Console queries. It writes one a day, thirty a month, and by default every draft waits in your workspace for your review, to rewrite, trim or scrap, which is where this checklist fits.

It costs $99/mo per website, with 3 days free before the first charge. Start the engine and run the checklist on your first draft on day one.