A source graph is the evidence map behind entity optimization. It connects each important claim about a company to the sources that support it: official registries, certification bodies, partner pages, customer references, documentation, specialist databases, media coverage or the company's own site.
What a source graph tracks
- The claim: for example legal name, founder, certification, product ownership, partner relationship or market category.
- The source type: primary, secondary, weak, outdated or conflicting.
- The publication context: publisher, URL, date, document and last review date.
- The action needed: keep, corroborate, correct, replace or remove the claim.
For AEO, the goal is not to create a pretty diagram. The goal is to know which facts an AI system can safely reuse, which facts need stronger corroboration and which public contradictions may cause answer engines to misrepresent the entity.