A content plan usually starts as a list of topics and ends as a calendar. Between the two there is often no written reason why this site should publish this page for this audience. Google’s documentation on helpful content does not offer a formula for that reason, but it does supply questions, and they happen to work well as a review of a plan before anything is commissioned. This article reads those questions as a planning checklist, and says where our reading goes beyond what Google states.
Questions to ask before a topic reaches the calendar
Google’s page on creating helpful, reliable, people-first content says its automated ranking systems are designed to prioritise helpful, reliable information created to benefit people, not content created to manipulate rankings. It defines people-first content as content created primarily for people, and offers questions to test it. Do you have an existing or intended audience that would find the content useful if they came directly to you? Does the content show first-hand expertise and depth of knowledge? Will someone leave feeling they have learned enough to achieve their goal?
The same page lists the opposite, warning signs of search engine-first content. Among them: producing lots of content on many topics in the hope some will perform, using extensive automation to produce content on many topics, mainly summarising what others say, and writing about something only because it seems to be trending. It also lists writing to a word count because you have heard Google has a preferred one, and answers directly: it does not.
Our reading is that each of these maps onto a plan entry. A topic that cannot name its audience, its need and its reason for being on this site fails the first set of questions before a word is written. That is a judgement about the plan, not something Google says about any particular page.
Who, How and Why as a brief for each piece
Google suggests evaluating content in terms of Who, How and Why. Who asks whether it is clear who created the content: whether pages carry a byline where one might be expected, and whether the byline leads to background on the author. Google strongly encourages accurate authorship information and says that fabricating creator profiles, such as with AI-generated headshots, made-up names or false credentials, is a form of deception.
How asks whether readers can tell how the content was produced. For automated, AI-generated or AI-assisted content, it asks whether the use of automation is evident to visitors, whether background is given on how it was used, and why it was seen as useful. It describes disclosures as useful where someone might reasonably wonder how a piece was created.
Why is described as perhaps the most important question to answer about your content
. The aligned answer is that the content is created primarily to help people and would be useful to visitors who came to the site directly. If the answer is mainly to attract search visits, Google says that is not what its systems seek to reward.
In our view the practical use is to write the three answers into the brief for each piece, before commissioning. That is cheaper than finding a weak reason after publication.
Originality as the test of added value
Several of Google’s content questions concern what a page adds. Does it provide original information, reporting, research or analysis? Does it provide insightful analysis beyond the obvious? If it draws on other sources, does it avoid simply copying or rewriting them and add substantial value? Does it offer substantial value compared with other pages in search results?
The page also describes how Google’s search quality raters assess main content, using effort, originality, talent or skill, and accuracy. Under effort, it says original analysis represents high effort, while generating pages from feeds or using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort. It adds that crediting other sources does not replace the need for original effort. Google says rater data is not used directly in its ranking algorithms, so these attributes are a self-assessment aid, not a scoring system.
What Google says about AI-generated content
Google’s guidance on generative AI content is short. It says generative AI can be particularly useful when researching a topic and to add structure to original content. It also says that using generative AI tools to generate many pages without adding value for users may violate the spam policy on scaled content abuse.
It asks for accuracy, quality and relevance. It notes that generative models predict a likely sequence of words rather than retrieve facts, so outputs may contain inaccuracies, and that it is critical to fact-check and review AI-generated content before publishing. It also suggests giving readers context on how content was created. The guidance does not say AI-assisted content is penalised as such; the concern it names is volume without added value.
Scaled content abuse: the line the spam policies draw
Google’s spam policies define scaled content abuse as many pages generated for the primary purpose of manipulating search rankings and not helping users, typically large amounts of unoriginal content that provides little to no value, no matter how it is created. The listed examples include using generative AI tools to generate many pages without adding value and scraping feeds or search results to generate many pages, among others. For such content on your own site, Google says to exclude it from Search.
Two details matter for a plan. The definition turns on purpose and value, not on the tool. And the policy sits beside, not inside, the helpful content guidance: the helpful content page says that using automation, including AI generation, for the primary purpose of manipulating rankings is a violation of the spam policies.
What the guidance does not say
The documentation is silent on several things a plan might want. It gives no preferred word count, no publishing frequency, no number of pages beyond which volume becomes abuse, and no list of topics a site should cover. It does not name a single factor that determines ranking: it says its systems use many different factors, and that E-E-A-T is not itself a specific ranking factor. It also does not tell you how to measure whether a page is helpful. The self-assessment questions are exactly that, questions, and Google suggests asking people unaffiliated with your site for an honest view.
Where this fits at Cultured Digital: content plans with a reason attached
Content produced without a clear reason is one of the situations our SEO Strategy service is a good fit for. The “Plan the content” group in our strategy scope covers content strategy tied to intent, deciding what to create, merge, update or remove, and editorial standards, and it is set out in the Plan the content guide. Our strategy work is evidence-led: every line of a roadmap says what to do, what evidence supports it and what it depends on, so a content line is expected to carry a reason as well as a topic.
In our strategy work, content planning and market understanding are separate scope groups, because demand alone is not an opportunity. We do not promise rankings or traffic numbers; we set out the opportunity and the evidence, and measure against it.