Most digital properties are priced on a multiple of monthly profit. That is the honest short answer, and it hides every interesting question, starting with the one that matters: why do two sites earning the same money sell at very different multiples?
The common broker heuristic for small content and affiliate sites sits somewhere around 30 to 45 times monthly net profit, with marketplace listings regularly falling outside that in both directions. Treat those figures as a rule of thumb from the brokered market rather than a law. The range moves with interest rates, with buyer appetite, and with whatever Google did to a category that quarter.
What is more durable, and more useful, is the list of factors that decide where inside that range a property lands, and whether a buyer shows up at all.
The factors that raise the multiple
Revenue that survives the owner leaving
The single biggest discount applied to a digital property is owner dependency. If revenue depends on the founder's personal relationships, their name, their manual outreach, or their weekly attention, a buyer is not purchasing an asset. They are purchasing a job with an uncertain handover.
Diversified traffic sources
A property with 98 percent of its traffic from Google organic is priced against the risk of a single algorithm update. The same profit arriving from search, direct, email, and referral is worth more because it survives one of those going away. This is not a theoretical risk, and every experienced buyer has been on the wrong end of it at least once.
Documented, repeatable operations
A property with its content process, publishing standards, and technical setup written down transfers cleanly. One that lives in the previous owner's head transfers badly, and the buyer prices that gap in.
Commercial intent in the query profile
Two properties with the same traffic and different intent profiles are not the same asset. Informational traffic monetizes at a fraction of comparison and purchase-stage traffic, and a buyer who knows how to read a query report will spot this in ten minutes.
Assets that are not the content
An email list, a dataset, a tool people return to, a brand name with its own search demand. These are the parts of a property that do not decay at the same rate as the articles, and they are the parts a thoughtful buyer pays a premium for.
The factors that lower it
- Declining trend. A property at the same profit level but trending down is worth materially less than one trending up, because the buyer is pricing the next twelve months and not the last twelve.
- Thin or generic content that anything could replicate. Increasingly relevant now that generating a thousand mediocre pages costs almost nothing.
- A single point of failure in monetization: one affiliate program, one ad network, one client.
- Technical debt that blocks the obvious improvements. A platform where making changes is expensive reduces what a buyer believes they can do after purchase.
- No measurement history. A property with no analytics history, no Search Console data, and no server log retention forces the buyer to take the seller's word for everything.
What the standard approach misses
A profit multiple is a backward-looking measure applied to a forward-looking decision. It works well for a stable property with a few years of history and it works badly everywhere else, which is most of the interesting cases.
Three things it does not capture at all:
Discovery that has not converted yet. A property being crawled heavily, ranking on the second page for terms with real commercial intent, and earning nothing today has a genuinely different future than a property earning the same nothing with no visibility at all. A profit multiple prices both at zero.
AI visibility. There is currently no standard way to price the fact that AI systems retrieve and cite a property. Citation in an answer that produces no click is invisible to every metric the brokered market uses, and I do not think that stays true for long. It is measurable now, in server logs, by anyone who looks.
Position in a set. A property that covers one part of a subject alongside sibling properties covering the rest is worth more inside that set than alone, and the standard approach has no way to express it.
What I would want to see before valuing anything
- Twelve months of profit and loss, with the revenue concentration visible.
- Search Console query data, not a traffic total, so the intent profile can be read directly.
- Server logs, or at least a sample, so crawler behavior can be checked against the search data.
- The trend on all of it, because the direction is worth more than the level.
Most sellers can produce the first item. Almost none produce the third, which is a shame, because it is the one that is hardest to dress up.