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- The source type: primary, secondary, weak, outdated or conflicting.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 of a source graph 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.