Content Marketing
Content marketing is publishing material that is useful to the people you want as customers, so that they find you, trust you and return, without being sold to on the page itself. Articles, guides, answers and data are the usual forms; the payoff comes when someone or something else decides to point at them.
What changes when an assistant reads it
A person reads a page; an assistant lifts a span from it. The two rewards differ. A reader can be won over by a page’s whole argument. An assistant selects the sentence that answers the question it was asked, attributes it if the page makes clear who is speaking, and ignores the rest. This site’s audit of 9,483 small-business sites found the median homepage ran 880 words, so the volume of content marketing was there. It also found 61.5% of the sites had no question-and-answer content of any kind and 50.7% posed a question in a heading without isolating an answer beneath it. The pages had been written to be read, not to be quoted.
The adjustment is small in effort and large in effect: put the answer to each question in one place, as a sentence a machine can attribute, and keep the prose around it.
Content marketing and content strategy
Content marketing is the publishing; content strategy is the plan that says what to publish, for which questions, with what evidence, and how the result will be measured. A business can do a great deal of the first with none of the second, and the audit’s 880-word homepages with nothing to quote are what that looks like from a crawler’s side.
A common question
If a site already publishes plenty, why is there nothing for an assistant to quote?
Because volume and quotability are not the same thing. The audit of 9,483 small-business sites found a median homepage of 880 words, so the writing existed, while 61.5% carried no question-and-answer content at all and 50.7% raised a question in a heading without setting out an answer under it. Those pages were built for a person working through an argument, not for a machine lifting one span. The repair is small: place the answer to each question in a single spot a machine can attribute, and leave the surrounding prose alone.
Related terms
Sources
Audit figures are this site’s own; sample drawn per metro and trade, percentages describe the sample. Mechanism of source-side visibility: Aggarwal et al., “GEO: Generative Engine Optimization” (KDD 2024).