When Parents Ask AI,
AI Recommends You
More and more parents are turning to AI search — ChatGPT, Perplexity, Gemini, and Google's AI Overviews — for therapy recommendations. We make sure your practice is the one they hear about.
AI Visibility, in plain terms
AI Visibility is the umbrella for showing up wherever parents now ask. Underneath it, Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) are the same craft — engineering your site so ChatGPT, Perplexity, Gemini, and Google’s AI Overviews cite you directly. Agentic Search Optimization (ASO) is the newer layer: making your booking flows, service pages, and contact forms legible to the AI agents now browsing and acting on a parent’s behalf.
Four names, one job
GEO, AEO, AI Visibility, and Agentic Search Optimization — different acronyms, same outcome: getting cited inside the answer parents actually see.
Be the practice AI recommends
Generative Engine Optimization (GEO) ensures your practice shows up when families ask AI for therapy recommendations.
AI Platform Audit
We ask every major AI platform the same questions parents ask: ‘best ABA therapy in [city],’ ‘occupational therapy near me,’ ‘speech therapy near me,’ ‘sensory gyms for autism.’ You’ll see exactly what AI search returns — and whether it’s recommending you or your competitor.
Structured Data & Schema
AI models need structured data to understand that you’re a BCBA-led ABA clinic accepting BlueCross, serving ages 2–18, at three locations. We implement the technical layer that makes you the easiest practice for AI to recommend.
Citation Building
We build your presence across the directories, clinical databases, and authoritative sources that AI models pull from — Psychology Today, Autism Speaks provider lists, state licensing boards, Google Business, and more.
First-Mover Advantage
~0% of therapy practices are optimized for AI visibility. This is a once-in-a-decade window to get ahead of every competitor in your market.
The strongest AI visibility work is still built on measurable signals
Families may discover practices through new surfaces, but the marketing story still needs to feel grounded in evidence and performance review.
Performance review that feels measured and clear
Review-style imagery works well on pages about search, reporting, and visibility systems.
50%+
Of Under-35s Use AI Search
~0%
Of Therapy Practices Optimized
Now
First-Mover Window
AI visibility still has to point people toward a practice that feels real
A discoverable brand is only useful if the practice itself looks credible, established, and easy to trust when families click through.
A local presence families can actually picture
Local marketing is not just dashboards. It is also about helping families trust a real place in their community.
Same internet, different game
SEO and GEO both live on your website, but they reward different things. SEO ranks pages. GEO gets your practice quoted in the answer itself.
The full AI visibility stack
Showing up in AI answers is engineering. Here's what we build for every client — the technical, structural, and editorial layers that make your practice the one AI models cite.
Answer Engine & Generative Engine Optimization
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the same craft under different names. Both mean engineering your site so AI models cite it when answering parents’ questions. Traditional SEO ranks a page in a list. Answer Engine Optimization gets your practice quoted directly inside ChatGPT, Perplexity, Gemini, and Google’s AI Overviews — the surfaces driving AI search today, where the click never even happens.
Engineering for AI agents, not just chatbots
Agentic Search Engineering is the next layer. AI agents now browse, click, and book on a user’s behalf. We make your booking flows, contact forms, and service pages legible to those agents — so when an agent decides to call or schedule on a parent’s behalf, your practice is the one it picks.
Schema language models can’t ignore
We implement the JSON-LD schema that signals authority to LLMs: FAQPage, MedicalBusiness, Organization, Person (for your BCBAs, SLPs, OTs), Service, Review, and BreadcrumbList. FAQ schema is one of the highest-leverage moves — every Q&A becomes a quotable snippet AI can pull verbatim.
Telling crawlers and LLMs what to read
robots.txt controls traditional search crawlers. llms.txt is the emerging standard that tells GPTBot, ClaudeBot, PerplexityBot, and GoogleOther which pages to read and how to summarize them. We configure both — opening the right paths to AI crawlers and providing a clean Markdown summary of your practice for LLMs that respect the spec.
Informative, authoritative pages — not marketing fluff
AI cites content that reads like a clinician wrote it. Vague service pages get skipped. We rewrite condition and service pages with specifics: ages served, modalities, evidence base, intake process, insurance accepted, locations. The more concrete and clinical the page, the more often it gets quoted.
Blogs that AI models actually quote
AI quotes blogs that answer specific questions in 2–3 paragraph chunks. We write 800–1,500-word posts that lead with the answer, define terms in plain language, and cite sources. Each post targets a real parent question — ‘is ABA right for my 4-year-old,’ ‘how long does speech therapy take,’ ‘what’s the difference between OT and PT.’ We publish on a schedule because freshness and consistency tell AI you’re an active source.
Authority, entities, and local signals
Schema and clean content get you in the room. These three layers decide whether AI keeps citing you back.
Google's framework for who AI listens to
E-E-A-T is the rubric Google uses to evaluate content, and the LLMs trained on its index inherit the bias. They reward writing that comes from credentialed humans. We add author bios with the right letters next to the name — BCBA, OTR/L, CCC-SLP — plus headshots, license numbers, and links to LinkedIn and the state licensing boards. Pages stop reading like marketing and start reading like a clinician wrote them, which is exactly what AI is trained to surface.
- Credentialed author bios on every clinical page
- Schema.org/Person markup with sameAs links to licensing bodies
- Inline citations to peer-reviewed sources where claims warrant it
Becoming a “thing” AI recognizes — not just a website
AI models pull from knowledge graphs to decide what counts as a “real” business. We get your practice into those graphs and tie every external profile back to your domain with sameAs schema. Once the entity exists, every AI you didn't prompt is also pulling you in.
- Wikidata entry where eligible + Google Business Profile optimization
- sameAs links across LinkedIn, Crunchbase, provider directories, Health Grades
- NAP (name, address, phone) consistency audited across 40+ sources
sameAs → one entity
“Speech therapy near me”
- Minneapolis, MN
- St. Paul, MN
- Edina, MN
LocalBusiness · GeoCoordinates
Winning “near me” queries inside AI
When parents ask “ABA therapy near me,” “OT near me,” or “speech therapy in [city],” AI weighs local signals heavily on every near-me query. We build a city-level location page for every market you serve, layer in the right schema, and align local citations so every answer engine has a single, consistent picture of where you operate.
- One purpose-built location page per city served, with localized content
- LocalBusiness, GeoCoordinates, and areaServed JSON-LD on every location
- Citation cleanup across Yelp, Apple Maps, Bing Places, Psychology Today
What this actually looks like in code
Three of the highest-leverage files we touch on every engagement. Each one is small, but together they reshape how every major LLM understands your practice.
Dropped into a <script type="application/ld+json"> tag. Each Q&A becomes a quotable snippet AI can lift verbatim.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "Do you accept BlueCross BlueShield?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes — we are in-network with BCBS PPO and HMO plans. Our intake team verifies coverage within 24 hours of inquiry."
}
}, {
"@type": "Question",
"name": "What ages do you serve?",
"acceptedAnswer": {
"@type": "Answer",
"text": "We serve children ages 2 through 18 across our ABA, OT, and speech therapy programs."
}
}]
}Explicitly opens the door to the AI crawlers you want indexing your site. Without these directives, some bots default to skipping you.
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: GoogleOther
Allow: /
Sitemap: https://yourpractice.com/sitemap.xmlAn emerging standard that gives LLMs a clean Markdown summary of your site — services, locations, key pages — so they can cite accurately without scraping every page.
# Sunrise Pediatric Therapy
> A BCBA-led ABA, occupational, and speech therapy
> practice serving children ages 2–18 across three
> Twin Cities locations. In-network with BCBS,
> UnitedHealthcare, and Medicaid.
## Services
- [ABA Therapy](/services/aba): 1:1 BCBA-supervised
- [Occupational Therapy](/services/ot): sensory, fine motor
- [Speech Therapy](/services/speech): articulation, AAC
## Locations
- [Minneapolis, MN](/locations/minneapolis)
- [St. Paul, MN](/locations/st-paul)
- [Edina, MN](/locations/edina)Common questions
The work behind AI visibility is still content, structure, and consistency
The best pages balance innovation language with visuals that imply a disciplined marketing process and a capable team.
A team that looks coordinated and capable
Strategy, systems, and collaboration are easier to believe when the visuals support that story.
Ready to show up in AI recommendations?
Book a free 15-minute call. We'll run your practice through every major AI platform and show you exactly what families are hearing — and whether it's you or your competitors.
Book your free AI auditFree audit · No contracts · Results in 4–8 weeks