Entity Confidence Recovery Tracker

When systems find contradictions about your entity — a founding date that differs across your schema, a press release and LinkedIn — they lose confidence in every affected attribute, and after a rebrand or migration your accumulated authority can quietly collapse. This Google Sheets tracker turns Lesson 2.4 into a structured recovery plan, so you rebuild machine confidence deliberately rather than hoping it returns. Created by Beatrice Gamba for the AI Search & Agentic SEO course.

The tracker splits the work into two phases, with one row per entity you are recovering. Phase 1 (weeks 1–2) is structural fixes whose effects show at the next crawl — consolidate every @id URI to one stable form, resolve attribute contradictions across schema, prose and external profiles, fix schema-type mismatches, and add an @id to every blank-node Person. Phase 2 (weeks 3–6) is external alignment whose effects show in your Knowledge Graph score — update LinkedIn, Crunchbase and Wikidata to match your schema exactly. A dedicated Attribute Contradiction Audit and a Knowledge Graph Score Monitoring Log let you prove recovery is on track before traffic ever moves.

Use this for:
‧ Recovering entity confidence after contradictions, gaps, a rebrand or a site migration
‧ Finding and resolving attribute contradictions across your schema, prose and external profiles
‧ Consolidating @id URIs and fixing blank-node Person entities
‧ Aligning LinkedIn, Crunchbase and Wikidata with your schema
‧ Tracking your Knowledge Graph score over time as a leading indicator of recovery

This is perfect for SEOs, brand and comms teams recovering an entity’s authority — especially anyone who has just been through, or is planning, a rebrand or domain migration.