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Conversion optimization

Fill the specs buyers look for AI writes the description.

WISEPIM finds the attributes missing from a product page, generates the description and specs from your own data, and reshapes it per channel.

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  • 0–100 quality score per product
  • Side-by-side preview before publish
  • 93 languages

Key features

  • Fill the fields buyers look for

    Empty attributes are flagged per product, covering dimensions, material, compatibility and care, and filled from your existing data or web research.

  • Write the description from the specs

    Enrichment turns an attribute list into copy in your brand voice, following the phrasing rules you set in Content Logic.

  • Reshape one record per channel

    A webshop page, a marketplace listing and a feed each get the length, structure and required fields that destination accepts.

Why listings lose the sale

Buyers leave over missing information

Three gaps turn up in nearly every catalog audit we run.

  • Specs that stop halfway

    The one attribute a shopper needs to decide, the exact dimension, the material, the model it fits, is simply not on the page.

    Result: the quality score names the missing field, and enrichment fills it.

  • Descriptions copied from the supplier

    The same paragraph sits on every competitor's page in the supplier's voice, so it neither persuades a buyer nor earns a ranking.

    Result: a description generated from your own attributes, in your own voice.

  • Content that ignores the channel

    A marketplace rejects the listing over a missing required field, or truncates a title that was written for a webshop hero.

    Result: each channel gets a version built to its own rules.

How it works

From gap report to published listing

Four steps take a sparse product record to a page that answers the questions a buyer actually asks.

  1. 01

    Score the catalog first

    Quality Guard rates every product 0–100 against your rules and lists which field is missing on which SKU, so you fix the biggest gaps first.

    A ranked list of what to fix, instead of a hunch.

  2. 02

    Fill the empty attributes

    Enrichment reads what the product already has, including title, specs, images and supplier text, and proposes values for the empty fields, with web research when the data is not there.

    The spec table is complete before any copy is written.

  3. 03

    Generate the description and the SEO copy

    Prompt Lab holds the prompt, Content Logic holds the brand rules, and the generated title, description and meta text follow both.

    Every product carries copy written from its own data.

  4. 04

    Check readiness before the feed goes out

    Channel readiness scores every channel against the fields it demands and counts the products that still miss one, so you close the gap instead of reading a rejection.

    Rejected listings are caught before the feed goes out.

One record, every channel

Formatted for every place you sell

Content Logic holds the rules per channel, brand and category, so each export writes what that destination accepts.

  • Rules per channel

    Title length, required attributes and forbidden words are set per channel and applied when the record is exported.

  • Rules per brand

    A brand's tone, spelling and naming conventions apply to every product under it without editing them one at a time.

  • Blocks that only render when filled

    A description section appears only when the attribute behind it has a value, so no product ships an empty heading.

One rule set per channel: what it requires, how long the title may be, which wording is out.

Your own numbers

What a conversion lift is worth

Enter your traffic, conversion rate and average order value. The uplift is your assumption, because WISEPIM does not publish an average.

Revenue impact calculator

Enter your traffic, conversion rate and order value, then pick the uplift you believe.

Your numbers

Start from a preset

20,000
2%
€

What that means

Current monthly revenue
€24,000

How we calculate this: 20,000 visits × 2% conversion × €60 per order

Projected conversion rate
2.4%

How we calculate this: 2% × (1 + +20%)

Extra orders per month
80

How we calculate this: 20,000 visits × 2% × +20% uplift

Extra revenue per month
€4,800

How we calculate this: 80 extra orders × €60 per order

Extra revenue per year
€57,600

How we calculate this: €4,800 × 12 months

Assumptions
  • The uplift applies evenly to every visit
  • Average order value stays the same
  • Traffic growth, seasonality and returns are not modelled

Basis: the numbers you entered and the uplift you picked. WISEPIM publishes no average uplift, so this is a what-if, not a forecast.

FAQs

Questions about rewriting a catalog

What e-commerce teams ask before they let WISEPIM generate their product content.

Still have questions?

Can't find the answer you're looking for? Please get in touch with our team.

Contact Support

A shopper leaves the moment the page stops answering their question. WISEPIM closes those gaps: it completes missing specs, writes a description from the product's own attributes and adapts the copy per channel. How much that moves your conversion rate depends on your catalog and traffic, so we do not publish an average, and the calculator on this page runs the maths on your numbers instead.

With the quality score. Quality Guard rates every product 0–100 and names the failing rule, so you can sort by score and enrich the worst pages on your best-selling products first. Bulk enrichment then covers the rest of the catalog per category.

You set the tone of voice, the vocabulary and the phrases to avoid in Content Logic, and Prompt Lab holds the prompt itself. Both apply to every generated description, per brand and per channel. WISEPIM does not learn your voice on its own, so you write those rules once.

That is the normal starting point. WISEPIM flags every empty attribute and proposes values from the data you already have, from the product images, and from web research on the EAN or MPN when the value exists nowhere in your catalog. You approve per field before anything is saved.

One enriched record feeds every channel, and Content Logic reformats it for each with the right length, structure and required fields. The marketplace preview shows the result in that channel's own layout, so a rejection surfaces before the feed runs rather than after.

Next step

Fix the pages that lose the sale

Import a catalog, run the quality scan, and enrich the twenty products that score lowest to see what changes.

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Enrichment documentation

How enrichment reads a product, which fields it can fill, and where the brand rules live.

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