01
📚Genre + audience targeting
Detects YA, middle-grade, adult fiction or academic and writes in the tone the buyer expects — not a uniform voice for all 40,000 SKUs.
Revenza turns back-cover blurbs into searchable product cards with edition year, cover type and target reader. From 1,000 to 100,000 SKUs.
Sound familiar?
Descriptions are back-cover annotations copy-pasted with no search keywords or reader targeting
Revenza writes search-optimized descriptions with genre, age rating (12+/YA/adult) and 'best for' reader profile
Edition language missing — customers ask 'Is this Harry Potter Ukrainian, English or Polish?' before every order
Edition language is detected and stated in the first paragraph, then mirrored to a Custom Field for filters
Cover type (hardcover/paperback/gift edition) and format (A5/A4) not stated, killing gift-purchase conversions
Cover type and physical format are extracted and rendered as a structured spec block in Stencil themes
No publication year on non-fiction — a 2010 investing book and a 2024 one have very different value
Publication year is parsed from feed and flagged in description when content recency matters
ISBN and УККП codes scattered across spreadsheets, never reaching BigCommerce Custom Fields
ISBN-13 and УККП are mapped to BigCommerce GTIN/MPN fields for clean Product Schema markup
Generic 'NYT bestseller' tag with no reason why this title matters to your reader right now
Bestseller claims are rewritten with reader benefit, comparable titles and a concrete reading occasion
What Revenza does every day
1000
products in 1 hour
5¢
per description (Pro)
9
platforms supported
6
languages, one click
Face cream, moisturizes skin. Volume 50 ml. Brand: XYZ. Ingredients: water, glycerin…
Nourishes and restores your skin overnight. Formula built on 3% hyaluronic acid + argan oil. Visible results in 7 days.
Link your store via API or upload a Google Books Feed / Rozetka XML. Revenza reads ISBN, publisher, year and existing copy.
Pick tone for kids' books, academic, fiction and non-fiction. Choose which fields go to description vs. Custom Fields vs. GTIN.
Process 500-2,000 SKUs per batch. Compare side-by-side with the original blurb, edit prompts, regenerate problem categories.
Sync descriptions, Custom Fields and Schema markup directly to BigCommerce. Re-run before September and November peaks.
Detects YA, middle-grade, adult fiction or academic and writes in the tone the buyer expects — not a uniform voice for all 40,000 SKUs.
Every card states edition language up front and writes it to a Custom Field, so Channel Manager can serve UA, EN and PL stores correctly.
Pulls ISBN-13 into GTIN, publisher into Brand, and pushes УККП to a Custom Field — Google Books Feed and Rozetka XML stay valid.
Hardcover, slipcase and gift editions get a dedicated 'good as a gift for…' paragraph with format and weight, lifting Nov-Dec conversions.
Non-fiction, business and tech titles get year highlighted; outdated editions get a 'previous edition' notice instead of silent listing.
Generates summaries under 10% of source text and rewrites cover copy, avoiding copyright takedowns from publishers and rights holders.
Batch processing runs in parallel across categories. A 40,000-SKU store typically completes a full rewrite in 18-30 hours of background processing. You can prioritize bestsellers and back-to-school categories first.
Revenza writes around long-tail queries those stores rarely target — edition language, format, audience age and reading occasion. Smaller catalogs that lean into specifics outrank generic listings on niche queries.
Yes. Generated text stays under the 10% threshold and rewrites publisher copy rather than reproducing it. Cover images and short fragments are kept within Fair Use limits.
ISBN-13 maps to the GTIN field, publisher to Brand, and УККП to a named Custom Field. This keeps Product Schema valid and exports cleanly to Google Books Feed and Prom.ua category 'Книги'.
Books in Ukraine are exempt from VAT (0%) since 2022, so Revenza does not insert VAT-inclusive language that confuses buyers comparing prices. Pricing copy stays neutral and accurate.
Yes. Revenza writes a base description plus channel-specific variants for BigCommerce Channel Manager — for example, shorter copy for marketplaces and longer copy for your storefront.
Generate language-, format- and audience-aware descriptions for your full BigCommerce catalog before the September and December peaks.