AI product description generators: what they miss about your products

An AI product description generator can turn a short product title into a paragraph in seconds. The harder question is whether that paragraph helps someone choose the right product.

If material, fit or compatibility details are missing, a polished description can still leave shoppers guessing. Worse, it can introduce an appealing claim that your product data never supported.

The useful opportunity is to improve the information behind your product content, then use AI to help make that information clear and consistent. That is the problem we are working on with Sighted, our own enrichment and visibility technology.

What a description generator can—and cannot—resolve

A tool can help organise supplied information, suggest a structure and produce draft wording. It cannot establish an unknown product fact simply by writing confidently.

Take an illustrative listing titled “Linen Blazer — Sand”. That title alone does not confirm the fibre composition, whether the garment is lined, its fit or its care instructions. Those details require a reliable source.

The distinction matters commercially. Someone deciding whether to wear it over a shirt needs relevant fit information. Someone checking care requirements needs verified instructions. Neither question is resolved by calling it “the perfect wardrobe essential”.

A worked example: improve the input before the output

This is an authored illustration, not a reported test of a particular AI model or a live customer result.

Assume the approved product record contains:

• Product: linen blazer.
• Material: 100% linen.
• Fit: relaxed.
• Colour: sand.
• Verified styling information: designed to layer over a shirt or tee.
• Not supplied: lining, washing instructions and manufacturing origin.

A weak draft might say: “Discover effortless luxury with our sustainable, machine-washable linen blazer, expertly made for every occasion.”

That draft introduces sustainability, washing and manufacturing claims absent from the record. An editor should remove them or obtain evidence, rather than approving them because the sentence sounds plausible.

A grounded alternative is: “A relaxed-fit blazer in 100% linen, in sand. Designed to layer over a shirt or tee.”

It is a modest sentence, but it gives the shopper usable information. If care is important to the purchase, the next task is to obtain the approved care instructions. The answer is not to ask the tool to guess again.

Build a fact pack for every product family

Different categories need different details. A clothing range may require composition, fit and sizing. An electrical accessory may depend on compatibility and dimensions. Beauty products require accurate ingredient and usage information.

Agree which fields matter, where each fact comes from and what happens when a field is unknown. Keep supplier facts, approved brand language and editorial suggestions distinguishable.

Useful review questions include:

• Does the description match the correct product and variant?
• Can every factual claim be traced to an approved source?
• Does it answer the category’s main buying questions?
• Are limitations or missing facts being hidden by vague language?
• Does the tone fit the brand without changing the meaning?

Our guide to AI content and brand voice explains how to make that final check practical.

Enrichment should add useful information, not extra adjectives

Product enrichment means making the available product information more useful. Depending on the evidence, that can involve structuring attributes consistently, clarifying descriptions and identifying unanswered shopper questions.

An FAQ should answer something customers need to know. It should not manufacture a capability or restate the description to create more text.

Where photographs inform a suggestion, review it carefully. An image may help identify a visible feature; it does not establish fibre composition, performance or a certification. Hold uncertain claims for a person who can verify them.

Make publishing requirements part of the workflow

Product pages and feeds can have different requirements. Google Merchant Center documents how AI-generated descriptions should be supplied using the structured description attribute and the appropriate digital source type. Check the current specification before publishing or changing a feed. Read Google’s product description requirements.

Consistency matters too. A more persuasive paragraph will not compensate for contradictory material, colour or availability information elsewhere in the product journey.

Measure useful outcomes such as corrected data gaps, review exceptions and relevant shopper behaviour. A larger word count is not evidence that the listing has improved.

Why we built Sighted

Building our own technology has reinforced a practical lesson: AI needs reliable inputs and deliberate approval points.

Sighted brings our work on product enrichment and visibility into a dedicated product. The aim is to help ecommerce teams see where information is missing and make product content more useful, while keeping expert judgement in the process.

A demonstration score or example description is not a client performance result. We keep those distinctions clear when showing what the technology does.

Run an ecommerce brand? Explore Sighted and its current product capabilities. If you need the wider strategy behind your product and category content, our AI content marketing service can help connect the work with customer demand.

For a broader website review, start with our content audit framework, or tell us where your catalogue content is falling short.

About the author

Molly Sishton, Founder of Re-Imagine Marketing. Molly combines marketing strategy, SEO and content expertise with hands-on experience of developing AI technology. Re-Imagine has worked with AI since 2021 and developed Sighted, its own enrichment and visibility technology. Meet the Re-Imagine team.

Recognition across our founding team and ventures: Connie Sishton featured among Wales Business Insider’s 25 Rising Stars of Welsh Business in 2025. Molly and Connie’s venture SO-ME won Best Female-Led Startup at Pitch Black Malta. Sighted was selected for Tech Nation’s Breakout 50.