Product descriptions
Product descriptions are the most overlooked sales copy in your business. We write unique descriptions for products and categories that match search intent: copy that can rank in classic search and be quoted when AI answers recommend products, at the volume a real catalogue demands. The work usually runs as ongoing production inside a Content Subscription.
You get copy that answers what a buyer actually wants to know before paying: the differences between variants, how the product is used, and the specifications that decide the choice. Written from scratch, not reworded from the supplier sheet.
And you get it at the volume your catalogue demands. Hundreds of variants is first of all a production problem, and we have built the setup to solve it without the quality sliding.
Most product descriptions are copies. That is exactly why nobody finds them.
Plenty of online stores reuse the supplier's text or let every variant share one description. The result is pages the search engines have seen a hundred times before, winning neither rankings nor clicks. The customer cannot tell the products apart, and the machines cannot either.
A product page also has to do more today than sit well among the blue links. When ChatGPT, Copilot or AI Overviews recommend products, they pull from the pages that describe the product precisely: materials, dimensions, use cases and differences. A unique, fact-dense description wins in the results and in the recommendation.
From product data to finished copy, without the quality slipping on the way.
Data sets the foundation: the search intent in each category, the questions buyers ask before they commit, and the attributes that genuinely separate one product from the next. That decides structure and angle before a single line is written.
Production runs on Morrison, our own AI content ops platform. It reads your entire website, learns your tone of voice from your own material, and keeps facts and terminology consistent across thousands of descriptions. Our specialists steer, edit and sign off along the way.
The quality stays up because people hold it up: editorial review, spot checks against search intent, and your approval before anything goes live. That is how we scale without diluting.
What the production delivers
Product descriptions and category copy written from scratch, unique per product and per variant, so you are rid of duplicate content and thin pages. We agree the volume up front, so production matches your catalogue and your launch pace.
Biggest gains on large catalogues, new launches, and wherever variants share one description.
You have hundreds or thousands of products, and the copy has never made it to the top of anyone's list. Some of the fastest organic growth sits right there: pages that already have demand, but no content strong enough to carry it.
Or you are launching a new range, entering a new market, or replatforming. Building the copy properly from the start costs less than fixing it afterwards, and production can follow your launch plan rather than trail behind it.
What sets the good product descriptions apart
Search intent at product level is almost always commercial. The buyer knows what they are looking for and is choosing between a handful of options, so the description has to settle that choice. The broader research layer belongs on the category page.
Uniqueness means substance. Two variants in different sizes need two descriptions that highlight what genuinely separates them, not two rewrites of the same paragraph. That difference is what both search engines and language models can read.
AI answers pick sources that describe products precisely and in a structured way. Clear attributes, dimensions and use cases in the copy make your pages easy to quote when someone asks an assistant for recommendations in your category.
Product descriptions work alongside the rest of your SEO. Category and guide pages build topical authority, and the product pages convert it into revenue, so we plan the copy as one whole, often starting from a Baseline or targeted sprints.
Scale depends on consistency. When a thousand descriptions have to hold the same professional level and the same voice, the process decides everything: one shared brief, fixed quality checks, and a platform that remembers your terminology better than any style guide.
We measure where the effect shows: rankings and organic traffic on product and category pages, plus visibility in AI answers on the queries closest to purchase. You can see examples of that kind of growth in our cases.
Find out where your product pages leave demand on the table.
Free SEO analysisFrequently asked questions
We agree the volume in the subscription, and it can be scaled up or down. After an onboarding period where we learn your brand and your catalogue, production runs in fixed deliveries, so you know exactly what lands each month.
Production runs on Morrison, our own AI content ops platform, with our specialists as editors. Every description is unique, fact checked and written in your tone of voice, and nothing goes live without your approval.
We write uniquely for every product and every variant and lead with the real differences instead of rephrasing the same paragraph. Across markets we do more than translate: we rebuild the copy around the queries and the wording people actually use in each language.
We deliver in the format your setup needs: import-ready files, straight into the CMS, or through a feed. We settle that during onboarding, so publishing never becomes the bottleneck.
On rankings and organic traffic to product and category pages, and on visibility in AI answers for the purchase-near queries in your category. If you run a Baseline with us, all of it sits in the ongoing reporting.
No. Many clients start with the categories closest to revenue and scale from there. We set the priorities together, usually based on demand, competition, and where your current copy is thinnest.
Product data as a feed or an export, whatever you already have on brand and tone of voice, and one person who can approve deliveries. We bring the rest ourselves: search data, the competitive picture, and the structure.
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