Use-Case Pages: Say Clearly Who It's For

Consider a composite example. A buyer in a 480-square-foot Chicago studio asks an assistant which espresso machine fits under a 15-inch cabinet, runs on a 15-amp circuit, needs no plumbed water line, stays under 45 dB, costs under $600. Three brands come back. The one that meets every condition is missing. Its page says “apartment-ready” and “compact footprint”; the clearance is in an image caption.

A use-case page is not a campaign landing page but the retrieval unit a model uses to decide who a product is for: one checkable condition, one verdict, an explicit exclusion, and a fallback for the buyer you turn away.

A scenario is a set of checkable constraints, not a persona

“Small-space renters,” “young professionals,” “busy parents” appear in buyer questions but cannot be checked on a page. A model splits the question into fields — cabinet height, circuit, plumbing, noise, price — then looks for a page where each resolves to one value, falling back to the category when none does.

So the heading and first paragraph carry the buyer’s constraint words, one value each: 15 inches, 15 amps, 45 dB, $600. That paragraph must still stand alone as an answer — who it serves, under what conditions, on what evidence — or the page passes the filter and fails the citation.

One test decides whether a scenario deserves its own URL: change the constraint, and does the recommendation change? Three pages ending at the same SKU for the same reasons are one scenario with three titles.

Why the all-purpose page loses the scenario question

A product page is organized by SKU and answers “what is this.” A use-case page is organized by constraint and answers “does this fit my situation.” Models filter before they compare, and a page with no filter fields gives them nothing to filter on.

The usual compromise is worse than nothing: one page listing “home, office, outdoor, and travel” in a single sentence. The model cannot tell which is primary, extracts the most general clause, and the page adds nothing. An FAQ entry fails the same way: it answers the question but owns no URL, so the citation lands on the product page and your wording flattens into “also suitable for.”

The shortlist is short. How AI builds that shortlist sets the work: one page per constraint holds a slot under each condition; one page for all conditions holds none.

Five steps from a constraint log to a page

Step	Do this	Owner	Passes when
1 Collect	Buyer sentences from support, site search, ads, return reasons	Content, support	20 sentences collapse into 3–5 constraint groups
2 Cut	Keep only groups where the answer changes; merge the rest	Content, category	Each page ends in a different recommendation
3 Write	Fit test, constraint table, who it is not for, alternative, evidence, next step	Content	Headline covered, a stranger still knows who it serves
4 Link	PDP line of fit, category page, and use-case page cross-linking	Content, front end	Each link answers “why would I click”
5 Test	Sample the buyer’s own wording in two assistants, several times	Growth	You can quote the answer

Step 2 is skipped most often. Scenario priority is not market priority: pick the market with the market priority matrix first, then scenarios inside it, or you write ten pages for a market nobody will fund.

Example: a dehumidifier page that names its exclusions

Example — brand, model, and specs are invented; no real product is described.

Before: “Powerful dehumidifier with smart humidity control. Perfect for the home, basement, bedroom, and office.” An assistant can say the brand sells dehumidifiers and nothing more.

After, as a use-case page:

• Fits a 600-square-foot basement with no floor drain: the built-in pump lifts condensate 10 feet to a utility sink, and removes 50 pints a day at 65°F and 60% humidity.
• Does not fit an unheated garage that drops below 41°F — the coil ices and the unit just defrosts — or a bedroom someone sleeps in, at 51 dB on high.
• Alternative under 300 square feet with a floor drain: the 20-pint gravity-drain model at $180 does the same job; you give up the pump and the extra capacity.
• Evidence: 34 lb, two-year warranty, 44 dB on low, a third-party pull-down test in a sealed room.

Each line is checkable, and the exclusions do commercial work: they cut returns that begin “it doesn’t dry my garage,” and give the model the sentence it reaches for when asked about downsides.

Links and numbers keep the page honest

Navigation alone is not a link. The product page needs one line of fit judgment — “fits under a 15-inch cabinet; see the small-kitchen setup” — pointing to the use-case page. The category page covers choosing within a category; the use-case page covers choosing in my case. Neither copies the other.

Numbers come from the same master data as the PDP. When a spec changes and the page doesn’t, the model quotes last year’s figure, worse than silence. Every “fits” claim should point to a record a stranger can find, and where review evidence comes from usually decides whether that record exists.

Where this breaks

Every scenario reaches the same verdict. Then it is one page with three titles, splitting crawl attention and competing for one query. Merge them.

Crawling or product data is still broken. If the page is unreachable, or price and stock disagree across surfaces, a use-case page is decoration. Fix the master data and the entity first.

The decision needs a fitting or a configuration. Made-to-measure furniture, footwear, complex installs: a page can disqualify the wrong buyer, but it cannot replace a configurator, a try-on, or a support script.

Generated keyword variants. “For small apartments,” “small-apartment-only,” “best for small apartments” — near-duplicate pages models consolidate or ignore. And accept the limit: no page guarantees a recommendation. The same question returns different answers by day and region, so sample before concluding. The rest of the line lives on the content and semantics hub.

This month, take one action: pull ten buyer sentences from support and site search, pick the constraint group that appears most, and publish one page with the “who it is not for” block above the second scroll. Ask the same question in two weeks, and write down how the answer describes you.