AI Research Division · Machine Trust
The Entity Completion Playbook
Step-by-step protocol for building a machine-readable business profile from zero to ship — schema.org Organization, FAQPage, sameAs graph, areaServed canonicalization.

By Shayne Beavan
Founder, Deep AI Solutions · Inventor of record, 5 USPTO filings
12 min
The minimum viable entity
A complete machine-readable business profile, at minimum, contains:
- Organization JSON-LD with name, url, description, address, telephone, sameAs (5–8 real profiles), areaServed (1–10 places), knowsAbout (5–15 topics), foundingDate.
- FAQPage JSON-LD with 5–10 question/answer pairs reflecting real buyer questions.
- Consistent NAP propagated to Google Business Profile, Bing Places, Apple Maps, Yelp, and the top 3 vertical-specific directories.
- A canonical knowledge pack — a downloadable PDF or markdown bundle that summarizes the business's services, locations, hours, and credentials in retrievable form.
Sequence
- Audit what already exists. Most operators are 30–50% complete and do not realize it.
- Build the Organization JSON-LD first. It is the entity's identity card.
- Generate FAQ JSON-LD from real buyer questions, not generic templates.
- Reconcile NAP drift across every directory the assistant's index touches.
- Publish a canonical knowledge pack at a stable URL.
- Re-scan after 30 days. Measure the lift.
What "done" looks like
When a fresh scan of a representative prompt bank returns a confident, cited, ranked mention of the business across all 5 frontier models, the entity is complete. Until then, there is measurable gap.