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Canonicalizing Competitor Brands, Retailers, and Marketplaces
Keep brands, direct storefronts, retailers, marketplaces, and regional domains distinct in Shopify competitor evidence.
Building SkuWatch AI Visibility
These notes explain product decisions, failed assumptions, safety boundaries, and the technical work behind inspectable Shopify AI visibility evidence.
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Keep brands, direct storefronts, retailers, marketplaces, and regional domains distinct in Shopify competitor evidence.
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Entity registries, domain normalization, collision handling, and evidence levels for turning answer text into reviewable matches.
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Tenant-scoped keys, jobs, evidence, caches, and logs that prevent one merchant's products or prompts from entering another report.
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The measurement design behind separating no-mention answers from timeouts, rate limits, refusals, and parser failures.
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A technical design for classifying Shopify products from evidence, detecting conflicts, and abstaining when confidence is weak.
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Versioned prompt portfolios, schedules, expected facts, provider adapters, and immutable observations for Shopify visibility monitoring.
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A field-level approval protocol for schema, metafield, theme, and catalog fixes with exact rollback evidence.
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Convert public evidence conflicts into owner-specific Shopify work with scope, risk, verification, and rollback.
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The product architecture, data model, and real Shopify conflict that make one combined AI visibility score misleading.
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The scanner architecture, finding schema, conflict states, public-store examples, and safe Shopify repair workflow behind SkuWatch AI Visibility.