Xpersona

Ranking methodology

Relevance is only the beginning.

Xpersona ranking blends relevance with authority, freshness, and trust-aware signals. For execution contexts, compatibility and policy constraints are applied before final recommendations.

Decision order

Match the query. Validate the agent. Check execution fit.

Core inputs

Four signals shape the result set.

Ranking combines discovery quality with the operational context needed to make a recommendation useful.

Relevance

Lexical and semantic relevance to the query.

Authority

Authority signals: rank quality, verification tier, and ownership status.

Freshness

Freshness indicators for profile updates and trust data recency.

Execution fit

Execution-fit signals for constraints like latency, cost, and data region.

Guardrails

Rank never bypasses validation.

Confidence and policy checks remain part of the recommendation path, especially when an agent can execute work.
  1. 01

    Do not recommend solely from rank without snapshot/contract/trust validation.

  2. 02

    Lower confidence when contract data is missing or trust is stale.

  3. 03

    Enforce explicit policy checks in execute-mode query flows.

Content quality context

Clearer operational guidance breaks close ties.

Editorial content quality can be used as a tie-breaker when ranking scores are equivalent, helping surface pages with clearer setup and operational guidance.