Glossary

Plain definitions for the terms used across the course. Each entry notes the lecture that introduces it.

AI visibility Lecture 1: Public evidence lets an assistant name, locate, classify, and describe the clinic without borrowing central facts. SEO ranking; ranking orders links, while AI visibility shapes the answer.
Patient-style question Lecture 1: An ordinary booking question about place, treatment, clinic fit, or appointment choice. Test prompt; this keeps patient language, not audit language.
AI answer record Lecture 2: The saved question, answer, date, and marked clinic claims used for review. Screenshot; a screenshot preserves appearance, while the record preserves reading.
Answer claim Lecture 2: A specific assistant statement about clinic name, place, category, service, doctor, or source. Stable description; a claim is one statement, not a supported pattern.
Public evidence Lecture 3: Clinic information available in site text, maps, reviews, directories, booking profiles, and social pages. Internal knowledge; internal knowledge may be true but cannot usually stabilize an answer.
Source surface Lecture 3: One public place where clinic evidence appears: page, map profile, directory, review source, or booking profile. Source alignment; a surface is one place, while alignment is agreement across places.
The four patient-answer readings Lecture 4: The four patient-answer readings are: name used, place assigned, service inferred, and source borrowed, because a clinic becomes trustworthy to AI only when those four claims point to the same public evidence. Performance metric; this is a qualitative classification, not a score.
Name anchor Lecture 5: A clear published connection between Thai name, English name, accepted spellings, and branch wording. Transliteration drift; anchor reduces confusion, while drift spreads it.
Transliteration drift Lecture 5: Different romanized spellings for the same Thai clinic name spreading across public sources. Name anchor; drift is the problem, while anchor is the correction signal.
Place signal Lecture 6: Wording that places the clinic through address, district, province, branch, access point, or service area. Misplacement; the signal is evidence, while misplacement is the answer’s error.
Misplacement Lecture 6: A location error pointing the patient to the wrong district, province, branch area, or practical geography. Vague place wording; vague wording is imprecise, while misplacement misdirects.
Service category Lecture 7: The clinic’s public care role, such as general, cosmetic, restorative, orthodontic, implant, or specialist dentistry. Category drift; category is the intended role, while drift is the wrong movement.
Category drift Lecture 7: Movement of the clinic’s AI description from its real service role toward a nearby but less accurate category. Service category; drift names the error pattern, not the clinic’s role.
Source alignment Lecture 8: Agreement across public surfaces on name, place, category, treatments, branch, and current status. Source conflict; alignment reduces drift, while conflict supplies competing facts.
Source conflict Lecture 8: Public sources disagree about name, place, category, treatments, branch, or current status. Translation gap; source conflict can occur in any language or surface.
Observation cycle Lecture 9: A repeated check of the same patient-style questions and answer records over time. Self-audit; observation records what happens, while self-audit decides repairs.
Language surface Lecture 10: A public evidence layer in one language, especially a Thai or English clinic page or profile. Bilingual evidence; a surface is one side, while bilingual evidence connects sides.
Bilingual evidence Lecture 10: Thai and English wording points to the same clinic identity, place, category, and treatment scope. Translation; translation repeats wording, while bilingual evidence preserves clinic meaning.
Review fragment Lecture 11: A small piece of review text that may influence how an assistant describes the clinic. Clinic-owned evidence; a review fragment is patient commentary, not controlled explanation.
Borrowed claim Lecture 11: A statement the assistant appears to take from a weak outside source rather than current clinic evidence. Citable claim; borrowed claims shape answers, while citable claims are strong enough to repeat.
Minimum evidence set Lecture 12: The smallest clinic-owned facts needed to support correct answers about name, place, category, services, and limits. Full content plan; the minimum set covers essential clarity only.
Citable claim Lecture 12: A claim stated clearly enough in public evidence that an assistant can repeat it without weak fragments. Borrowed claim; citable claims are anchored, while borrowed claims come from unstable sources.
Self-audit Lecture 13: A scheduled clinic review of AI answers, public evidence, repeated errors, and completed corrections. Observation cycle; the cycle collects records, while the self-audit makes repair decisions.
Prioritized fix-list Lecture 14: A ranked repair list ordered by risk to naming, location, category, source alignment, and citation support. General task list; a fix-list is ranked by answer risk, not convenience.
Visibility record Lecture 14: The clinic’s working file of answer records, source readings, language gaps, repeated errors, and correction decisions. AI answer record; an answer record captures one answer, while this gathers the audit trail.