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ai product description analyzer.

score your pdp copy on llm-answer readiness

102 words · 13 sentences · avg 7.8 words/sentence
55overall score / 100

readability

flesch reading ease51
numeric + unit mentions4
named material attributes3
factual density score69%

spec completeness

✓material
✓size
✓weight
✓care
✗origin
✓warranty

ambiguity flags (10)

premiumbest-in-classindustry-leadingnext-levelexperienceelevaterevolutionarycutting-edgesuperiorseamless

question answerability

what material is it?yes
what size / dimensions?yes
how much does it weigh?yes
is it waterproof?no
what's the warranty?partial

> worked example

A copywriter pastes a 120-word running-shoe description loaded with 'premium' and 'best-in-class' language but missing weight, materials, and care instructions. The tool scores it 38/100, factual density is low, three spec checklist items are unfound, and five filler phrases are flagged in coral. Clicking 'improve with AI' rewrites it with concrete specs and removes the vague adjectives, lifting the score to 72.

takeaway, Most ecommerce copy fails AEO not because it's badly written, but because it swaps specifics for adjectives, the analyzer shows exactly where.

> when operators reach for this

  • Shopify copywriters auditing a product catalogue before a re-launch to identify which PDPs are most at risk of being ignored by LLM answer engines.
  • SEO leads running AEO gap analysis, using the question answerability table to find descriptions that can't answer 'what material is it?' or 'what's the warranty?'.
  • CMOs comparing before/after scores from an agency content rewrite to quantify the improvement in LLM-readiness.
  • Agencies offering an AI-readiness audit as a paid deliverable and needing a fast, shareable scorecard per product description.
  • Ecommerce merchandisers training a new copywriting team on what 'good' looks like, the checklist provides a concrete brief.

> the calculation

  • factual densitynumbers + units + named attributes ÷ word count
  • completenessmaterial, size, weight, care, origin, warranty, 6 points total
  • ambiguity flagsmarketing filler phrases that add no specific info

> related calculators, ai & llm visibility