Audit gaps this package addresses
- Freshness, stale-warning or recrawl process gaps
- Source updates need a maintenance workflow
- Optional future step after implementation
Keep source evidence fresh after implementation
Monitoring / Freshness Review
A future/optional review route for teams that need recurring freshness checks, stale-data warnings and manual recrawl review after the first AI-ready implementation.
Price on request after review cadence is scoped.Lead type: audit_follow_up
Monitoring/freshness is optional and currently manual/staging-oriented. Fresh means recently checked, not best or verified.
Best for
- Organizations whose services, prices, locations or policies change often.
- Profiles that need stale warnings and manual recrawl review before stronger public claims.
- Teams preparing a maintenance process after Basic, Pro, product/catalog or Agent-ready work.
Deliverables
- Freshness and stale-status review plan.
- Manual recrawl checklist and source update responsibilities.
- Monitoring readiness notes for Moldova AI Index profile fields.
- Rollback and correction path for outdated public data.
Expected outputs
- The owner understands what must stay updated for AI-readable trust.
- Public data can keep clearer stale/freshness warnings.
- Future production monitoring can be scoped without pretending it is live automation today.
Not included
- No production scheduler, cron, queue or paid monitoring service is configured in this MVP.
- No automatic verification of changed claims.
- No guarantee of rankings, traffic, sales or inclusion in AI answers.
Required caveats
- Packages improve AI-readiness signals and source quality; they do not guarantee rankings, traffic, sales or inclusion in third-party AI answers.
- AI-readiness score measures machine readability and trust signals, not the quality of the company.
- Verified means owner or official-source confirmation. Verified does not mean best or paid placement.