What is Per-model gap?

Short definition

A material SoV difference between AI providers on the same panel.

Why it matters for Shopify brands

Tells you whether to invest in citations, feeds, or claim precision.

AI visibility work mixes measurement language (share of voice, prompt panels) with technical language (crawlers, schema, Shopping). Clear definitions keep teams from optimizing the wrong surface — for example chasing Google rankings while ChatGPT still cannot fetch product HTML.

Examples in practice

• Shoppers and operators encounter “Per-model gap” when researching AI recommendations, ChatGPT Shopping, or technical AI readiness.
• On TopMention pages, “Per-model gap” is defined here so guides and ask pages can link to a single owner URL instead of redefining it.

How TopMention uses this term

• Dictionary owns the “What is …?” primary intent for this term.
• When you need a full implementation primer, follow the Learn owner link below.
• If this term names a crawler, the /bots entity page is the deeper owner for User-Agent facts.
• Ask and guide templates link here for definitions instead of competing H1s.

Common mistakes

• Treating the term as interchangeable with classic SEO rankings
• Creating multiple pages that all try to rank for the same definitional query
• Using the jargon in H1s on guide pages (guides should stay category-modified how-tos)

Go deeper

• Read the full implementation guide
• Category guides (applications, not definitions)
• Ask hubs (shopper questions)

Related terms

• Per-model SoV — Share of voice calculated separately for each AI provider.
• Blended SoV — Share of voice averaged or combined across multiple AI models.