Entity SEO meets GEO: building machine-readable brand graphs

Search engines spent a decade aligning websites to Knowledge Graph entities. GEO extends the same principle: if the model cannot resolve "who you are" and "which SKU this is," it will cite someone else or hallucinate.

Entity SEO for cross-border commerce is not about Wikipedia fame alone. It is about consistent, typed identifiers on your owned properties.

• Organization — legalName, logo, url, sameAs (LinkedIn, Crunchbase, official social), contactPoint with hours and support languages.
• Brand — nested under Organization when distinct from legal entity; consistent with packaging and marketplace listings.
• Product — one @id per hero SKU; isRelatedTo / isSimilarTo for variants; avoid duplicate Product nodes from apps.
• WebSite — SearchAction only if on-site search works.
• FAQPage — Question entities whose acceptedAnswer matches visible text.

| Symptom | Likely cause | |---------|--------------| | Competitor cited for your branded prompt | Their Organization graph is richer | | Wrong variant in answer | Shared titles across SKUs | | Brand name mangled | No Organization + inconsistent NAP |

Days 1–14: Inventory JSON-LD, fix @id collisions. Days 15–45: Expand sameAs and FAQ entities. Days 46–90: Monitor branded prompts across three engines.

Do I need a Wikidata entry? Helpful for notable brands, not mandatory for mid-market if sameAs and on-site schema are strong.

How do marketplaces affect entities? Align brand spelling across Amazon, Shopify, and ads; divergence confuses resolution.

Should Product @id include locale? Use stable SKU-based IDs; localize URLs via url property, not new @id per language unless truly separate products.

Visora /audit maps entity coverage gaps and scores coherence between HTML headings and JSON-LD nodes—fix those before investing in net-new content.