Entity SEO meets GEO: building machine-readable brand graphs

Search engines spent a decade on Knowledge Graph alignment. GEO extends this: large language models must *resolve* your brand to a stable entity before they can cite you accurately.

Entity stack for e-commerce

- **Organization** — Legal name, logo URL, `sameAs` links (LinkedIn, Crunchbase, Wikidata if applicable), contactPoint with customer service hours. - **Product** — One canonical JSON-LD node per hero SKU; `isRelatedTo` / `isSimilarTo` for variants; avoid duplicate @id collisions across locales. - **WebSite** — `potentialAction` SearchAction only if site search works; broken Sitelinks SearchBox hurts trust. - **FAQPage** — Questions as `Question` entities with acceptedAnswer text matching visible HTML (not hidden divs).

Citation failure modes we see in audits

| Symptom | Typical cause | |---------|----------------| | AI cites competitor instead | Stronger entity graph on their domain | | Wrong product variant cited | Shared title/H1 across SKUs | | Brand name hallucinated | Missing Organization schema + weak NAP |

Implementation path

Week 1: Audit entity coverage with Visora. Week 2: Fix @id and sameAs. Week 3: Add FAQ entities tied to buyer questions. Week 4: Monitor branded prompts across engines.

Entity SEO is not optional for GEO — it is the substrate on which citations attach.