ABA marketing terms, defined.

Paid search campaigns operated on Google Ads targeting caregiver-intent queries for ABA therapy services - subject to Google's healthcare advertising restrictions and reliant on payer-aware landing pages.

The intake step of confirming a family's benefits, authorization requirements, and out-of-pocket costs for ABA therapy before or shortly after an inquiry - a major driver of whether an inquiry becomes an enrollment.

The percentage of inbound inquiries that progress through the four-stage ABA intake funnel - visits, form starts, form submits, and consults booked - culminating in active enrollment.

The discipline of getting ABA therapy practices to rank in Google's local-pack and Maps results for caregiver-intent searches in the practice's service area.

Demand generation and conversion systems built specifically for Applied Behavior Analysis therapy practices - combining SEO, paid acquisition, intake operations, and brand authority to attract, qualify, and enroll clients.

The comparative analysis of operating ABA marketing as an internal team versus outsourcing to a specialist agency - including cost, speed, breadth of expertise, and accountability tradeoffs.

The practice of building and nurturing referral relationships - with pediatricians, diagnosticians, schools, and community organizations - that send families to an ABA provider, as a complement to search-driven demand.

The ongoing practice of earning, monitoring, and responding to online reviews and ratings for an ABA provider - a trust signal that drives both caregiver choice and local search ranking.

The set of operational and communication practices an ABA practice uses to maintain engagement with families on a clinical waitlist and convert them to active services when capacity opens.

The percentage of website visitors who complete a defined conversion action - typically intake-form submission or consult booking - on an ABA practice's site.

The automated agents that AI companies use to read the web for training and live retrieval - including GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, and Google-Extended - governed by robots.txt and, increasingly, llms.txt.

A measurement of how often a brand is mentioned in AI-generated answers across ChatGPT, Claude, Perplexity, and Google AI Overviews for a fixed query set, expressed as a mention rate and rank position.

The practice of structuring content so that answer engines - AI assistants and search features that return a direct answer instead of a list of links - surface and attribute a brand as the source.

The sequential set of conversion stages an ABA practice uses to attract, screen, interview, and hire Board Certified Behavior Analysts (BCBAs) - typically a years-long durable bottleneck on practice growth.

Pay-per-click advertising operated specifically for behavioral health and ABA providers - accounting for healthcare ad-platform restrictions, payer-specific landing pages, and intake-quality scoring rather than raw lead volume.

Demand generation and content marketing for software products serving behavioral health providers - practice-management platforms, EHRs, RCM tools, and clinical-data systems.

The multi-step, trust-heavy path a parent or caregiver takes from first suspecting their child needs ABA therapy to enrolling - spanning research, insurance, provider comparison, and intake.

Searching by asking full, natural-language questions - often multi-turn and comparative - the way people query ChatGPT or an AI assistant, rather than typing short keyword fragments.

Google's set of user-experience metrics - loading (LCP), interactivity (INP), and visual stability (CLS) - that measure how fast and stable a page feels, and factor into search ranking.

The fully-loaded marketing and intake cost to acquire one enrolled ABA client - the acquisition metric that actually matters, because it counts enrollments rather than clicks, leads, or inquiries.

Google's Experience, Expertise, Authoritativeness, and Trustworthiness framework applied to health topics, where content quality is held to a higher bar because it can affect a reader's wellbeing.

An approach to search and AI visibility that optimizes for how engines understand a brand as a distinct entity in a knowledge graph - its identity, attributes, and relationships - rather than for individual keywords.

The practice of structuring on-domain content, schema markup, and third-party citations so generative AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) cite a healthcare provider as the source for relevant queries.

The AI-generated summary Google shows at the top of many search results, synthesizing an answer from multiple sources and citing the pages it drew from.

The optimization of an ABA clinic's Google Business Profile - categories, services, reviews, photos, and posts - to win the local map pack and be the provider families find when searching for care nearby.

Google's principle of rewarding people-first, genuinely useful content - and the corresponding practice of pruning thin, outdated, or off-topic pages that drag down a site's overall quality signal.

Marketing and analytics practices for healthcare providers that avoid exposing protected health information (PHI) - covering tracking, ad pixels, reviews, testimonials, and forms - while still measuring performance.

The percentage of AI-engine responses for a query set that explicitly cite a brand's domain or content as a source - distinct from mention rate, which counts brand-name appearances regardless of attribution.

A proposed plain-text standard, served at a site's root, that gives AI systems a curated, machine-readable map of a site's most important pages and content in Markdown.

The marketing discipline applied to ABA brands operating multiple physical clinic locations - including location-page architecture, per-location Google Business Profiles, and centralized intake operations.

An AI architecture where a model retrieves relevant documents from an external source at answer time and grounds its response in them, rather than relying only on what it memorized during training.

The elapsed time between a family submitting an inquiry and the provider's first meaningful response - one of the strongest determinants of whether an ABA inquiry converts to a booked consult.

Schema.org JSON-LD markup applied to healthcare provider websites - typically MedicalBusiness, MedicalClinic, MedicalOrganization, or LocalBusiness - to enable rich-result eligibility and AI-engine entity extraction.

The depth and breadth of a site's coverage of a subject, which search and AI engines use as a signal that it is a trustworthy source to rank, retrieve, and cite for that topic.

A search where the user gets their answer directly on the results page - from an AI Overview, featured snippet, or knowledge panel - without clicking through to any website.