Practical Lens 15: AI identity is a graph problem
If AI blends you with another company, assume missing or weak entity identifiers—not “model confusion.”
What this lens means
AI crawlers connect entities via identifiers and corroboration. Without clear identifiers, your company can be merged with similar entities.
Why this happens
- AI crawlers assemble entity graphs from identifiers (URLs, names, logos, sameAs) and corroborating references.
- If identifiers are missing or inconsistent, the crawler must infer links from weak text cues and proximity signals.
- Once an incorrect link forms, downstream summaries can inherit blended attributes.
What this usually indicates
- Weak identifiers: missing or inconsistent Organization JSON‑LD (name, url, logo, sameAs).
- Ambiguous naming: names overlap with other entities (brand variants, abbreviations).
- Competing reference pages: multiple “official” versions reduce the strength of any single anchor.
- Third‑party dominance: external sources provide stronger identifiers than your first‑party site.
What to verify (evidence-only)
- Is Organization JSON‑LD present and consistent (name, url, logo, sameAs) on the primary reference page?
- Do canonicals and redirects enforce one official reference page for the entity?
- Do official profiles (e.g., LinkedIn) point to the same primary URL and use the same name?
- Are there duplicate or outdated pages that use old names/logos and remain crawlable?
- Are you using the same identifiers consistently across language variants and key pages?