Verified against ChatGPT · 2026-08-13
Write a category-page SEO brief that fixes thin content without turning the page into a blog post
Produces an SEO content brief for a product category page — target query, on-page elements, and internal linking — scoped to keep the page shoppable rather than accidentally rewriting it as an article.
The prompt
Ready to copy — highlighted parts are example details you can swap.
Write an SEO content brief for one category page on an online store. The goal is fixing thin or purely templated content without turning a shopping page into a blog post the buyer has to scroll past to actually shop. CATEGORY PAGE /collections/mens-running-shoes on a mid-size running gear store. CURRENT CONTENT STATE Auto-generated title tag, no category description, just a product grid and filter sidebar. TARGET QUERY 'best mens running shoes for overpronation' COMPETING PAGES RANKING ABOVE IT Two affiliate 'best running shoes' roundup articles and one competitor's category page with a detailed buying guide. PRODUCT COUNT ON THIS PAGE 34 SKUs across 6 brands. STEP 1 — TARGET QUERY FIT CHECK Confirm the target query is actually a category-level intent (someone wants to browse and compare options) rather than a single-product or purely informational intent that belongs on a different page type — if it's the wrong intent for a category page, say so and suggest the correct page type instead of writing a brief around a mismatched query. STEP 2 — ON-PAGE ELEMENTS Specify the H1, meta title, and meta description, each incorporating the target query naturally. Specify a short category description (2-3 sentences max, placed above the product grid, not a 400-word essay) that states what distinguishes this category's products from the adjacent categories a shopper might confuse it with. STEP 3 — FILTER AND FACET COPY Given the product count, note which filter attributes are worth surfacing prominently (the ones that actually split the 34 SKUs across 6 brands. products into meaningfully different groups) rather than listing every possible facet. STEP 4 — INTERNAL LINKING Specify 2-3 internal links this page should receive from elsewhere on the site (not links this page sends out) to build its relevance for the target query, naming realistic source pages. WHAT NOT TO DO Do not recommend adding a long-form buying-guide block below the product grid unless nothing else in the brief can plausibly close the content gap — that's the generic fallback every SEO tool suggests, and it often just adds words without addressing why the page is thin. OUTPUT FORMAT The four steps as labeled sections, in order.
Customize
Optional — swap in your own details for the highlighted parts above.
Why this works
The query-intent check as a gated first step matters because GPT-5.1, given a target query and asked directly for a category-page brief, will write the brief regardless of whether the query actually matches category-level intent — a query like 'best running shoes for overpronation' carries comparison-and-advice intent that a thin category page structurally cannot satisfy as well as an article can, and no amount of on-page copywriting closes that gap, so surfacing the mismatch before writing the rest of the brief prevents wasted effort optimizing the wrong page type. The explicit cap on the category description length, and the instruction to place it above the grid rather than let it expand, counters a strong default tendency: language models treat 'thin content' as a word-count problem and respond by generating long descriptive blocks, when the actual SEO and UX fix for a shopping page is a tight, differentiating description plus better structured signals (filters, internal links), not more prose competing with the product grid for attention. Scoping filter-facet recommendations to the actual product count prevents a generic answer that lists every conceivable running-shoe facet (color, brand, price, width, drop, terrain) regardless of whether 34 SKUs actually split meaningfully across all of them — recommending facets that don't create meaningfully different result sets adds sidebar clutter without helping either users or crawlers. The explicit ban on defaulting to a buying-guide block addresses the single most common SEO-tool suggestion for thin category pages, which is often applied reflexively without checking whether the actual ranking gap is content depth versus something structural like internal link equity.
What you get back
Step 1: query fit confirmed — 'best running shoes for overpronation' has comparison intent that a filterable category page can serve if overpronation-support is a real, filterable attribute. Step 2: H1 "Men's Running Shoes for Overpronation", meta title/description with the query, 2-sentence category blurb distinguishing stability shoes from neutral-cushion shoes in the adjacent category.
Verified against
ChatGPT GPT-5.1 · 2026-08-13
Changelog
- 2026-08-13 — Initial publish, verified against ChatGPT GPT-5.1.
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