AI Visibility

Entity Retrieval

Entity retrieval returns candidate entities that match a mention, description or constrained entity-seeking query.

What it means

Candidates can come from an alias index, Knowledge graph, document collection or learned dense space. Entity Linking adds the later decision that disambiguates and assigns the correct entity in context.

Why it matters

Candidate recall determines whether the correct organisation, product, person or place can be selected at all. Namesakes and incomplete identifiers make provenance and context essential.

Example

For `Mercury founded in 2017 fintech`, retrieval should include the banking software company, while contextual disambiguation excludes the planet and car brand.

Common mistakes

Do not treat name matching as identity, merge organisations with similar labels or claim Entity Linking when only candidates are returned. Store stable identifiers and evidence.

How AYSA handles this

Signals reviewed

organisation names, structured identifiers, sameAs references, page context, candidate results

Problem AYSA can identify

AYSA can flag inconsistent public identifiers or ambiguous entity descriptions on controlled pages.

Recommendation prepared

The proposal aligns approved names, identifiers and structured references without fabricating relationships.

Approval preview

The user reviews current evidence, candidate ambiguity and exact identity changes.

Execution

AYSA can apply approved content and schema corrections on supported WordPress pages.

Verification

AYSA validates rendered identity facts, schema consistency and connected candidate tests.

Limits

AYSA cannot force an external knowledge graph to merge or select an entity.

Sources and further reading

Written by Marius Dosinescu. Reviewed by AYSA SEO Editorial Team · 2026-07-28 00:00:00.

Quick answers

Frequently asked questions

Is entity retrieval the same as entity linking?

No. Retrieval produces candidates; linking selects and assigns the entity that fits the context.

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